About Pivotal Health

Pivotal Health is the leading technology platform that helps healthcare providers get paid fairly in an increasingly complex reimbursement landscape.

Today, many providers face persistent underpayment from health insurance companies, despite delivering high-quality care. While processes like IDR (Independent Dispute Resolution) were designed to promote fairness, they’re often administrative-heavy, time-consuming, and difficult to navigate without the right tools.

Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven platform that simplifies these complex reimbursement workflows. We help providers efficiently dispute underpaid claims, reduce administrative burden, and recover the reimbursement they’re entitled to; without adding more work to already stretched teams.

Our full-service IDR solution is just the starting point. We’re building solutions that enable providers to operate with clarity, control, and confidence across the reimbursement journey.

About the Role

We're hiring a Senior Software Engineer to join Pivotal's Case Execution team. This team owns critical parts of the case execution workflow, including eligibility, batching, submissions, ops workflows, and claim orchestration. These systems sit at the operational core of how Pivotal delivers outcomes for providers.

This is a strong fit for an engineer who enjoys solving complex, workflow-driven backend problems and working through data-heavy decision logic. The most technically demanding areas for this team are eligibility and batching, and the right person is energized by that kind of work rather than looking to avoid it.

What You'll Do

• Build and improve core case execution systems: Own backend development across eligibility, batching, submissions, ops workflows, and claim orchestration. These are the systems that determine how cases move through Pivotal's platform and reach resolution.

• Tackle complex, data-driven backend problems: Work through the decision logic and data-heavy workflows that make eligibility and batching hard, understanding not just how individual systems work, but how they interact across the broader platform.

• Contribute to workflow orchestration: Build and improve the systems that coordinate how cases are staged, routed, and executed end to end, with a clear eye toward correctness and reliability.

• Collaborate cross-functionally: Work closely with the Integrations team, Case Strategy team, and other engineering and product partners to ensure systems are well-connected and aligned with how the broader platform operates.

• Contribute to front-end and admin workflows where needed: The role is primarily backend-focused, but you'll contribute to internal-facing UI and ops tooling where the product requires it.

Who You Are

• 5+ years of software engineering experience with a strong backend focus

• Strong engineering fundamentals with hands-on experience building data-heavy, workflow-oriented systems

• Experience working on complex, data-driven decision logic or orchestration problems: you're comfortable with systems where correctness and sequencing both matter

• Comfortable operating in a collaborative, fast-moving startup environment where ownership and requirements evolve

• Python experience; able to work effectively in a Python-based backend environment

• Self-directed and proactive: you identify problems and drive them to resolution without heavy oversight

• Strong communicator who collaborates well across engineering, product, and adjacent teams

Extra Credit If You Have

• Experience with healthcare-specific data or HealthTech systems

• Exposure to data-heavy architectures or problems adjacent to data engineering without being a pure data engineer

• Familiarity with tools like Snowflake, dbt, or Databricks

• Some front-end experience to support admin workflow contributions

Why You’ll Love Working Here

We’re a collaborative, low-ego team on a mission to make healthcare reimbursement fairer for providers. While we primarily hire around our core hubs–Los Angeles and New York–we remain open to exceptional talent outside those regions. Remote and hybrid flexibility varies by role and team, and is outlined in each job description.

If you’re excited by solving complex problems and making a real-world impact, we’d love to hear from you.

Benefits Include:

• Competitive compensation, including equity

• Full health, dental, and vision coverage

• Retirement savings plan through 401(k)

• Flexible time off

• Opportunities for company-wide connection and events

Ready to Make an Impact?
We’re building something meaningful; and we want you on the team.

Bring your ideas, curiosity, and drive, and let’s transform healthcare reimbursement together.

Employment Information

Work Authorization

Candidates must be authorized to work in the United States without current or future employer sponsorship.

Equal Employment Opportunity

Pivotal Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other legally protected status.

Reasonable Accommodations

Pivotal Health provides reasonable accommodations for qualified individuals with disabilities in accordance with applicable laws. If you need assistance during the application or interview process, please let us know.

Background Checks

Employment is contingent upon successful completion of applicable background checks, where permitted by law.

At-Will Employment

Employment with Pivotal Health is at-will and may be terminated by either party at any time, with or without cause or notice, in accordance with applicable law.

Please mention the word **ELECTRIFY** and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Are you a talented Senior Data Engineer looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe.

What we offer:

• The rate depends on your skills and experience. We've already paid out over $11M to our engineers.
• No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best.
• We'll manually find the best project for you according to your skills and preferences.
• Choose a schedule that works best for you. It’s possible to communicate async or minimally overlap within team working hours.
• We respect your seniority so you can expect no micromanagement or screen trackers.
• Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah?
• We will support you from the time you submit the application throughout all cooperation stages.
• Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do.
• Through our community, we will connect you with the best developers from more than 75 countries.

We have several different roles for Data Engineers — please check the details if you're interested.

Requirements — Data Engineers:

• 5+ years of commercial experience as a Data Engineer
• 2+ years of commercial experience with Azure DevOps is a must
• 2+ years of commercial experience with Databricks
• 2+ years of experience with DBT is required
• Experience with Airflow is a plus

Requirements — Data Engineers:

• 4+ years of commercial experience as a Data Engineer
• 3+ years of experience with Apache Airflow and 2+ years of experience with Snowflake
• 3+ years of experience with Python and 1+ year with SQL
• Experience with AWS/GCP/Microsoft Azure/Snowflake is a must

• Strong technical skills: as a Senior Data Engineer, you are expected to be able to create projects from scratch and have a deep understanding of application architecture.
• Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls.
• Strong self-organizational skills — ability to work full-time remotely with no supervision.
• Reliability — we want to trust you and expect that you won’t let us and the client down.
• Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly.

Sounds good for you? Apply now and join the Lemon.io community!

NOT YOUR TECH STACK?

We have a variety of projects, so if you have 4+ years of commercial software development experience and are proficient in AI Agent Architecture, AI Automation Architecture, AI Engineering, Site Reliability Engineering, Platform Engineering, React & Python, React & Golang, Golang, React & Java, React & Ruby, Ruby, PHP & Vue, Vue & Node.js, React & .NET, Android & iOS, iOS & Swift, Flutter & Dart, Blockchain (Ethereum/Ethers.js/Wagmi/Viem/Solana), Angular & Node.js, Vue & .NET, Python & Vue, DevOps, MLOps, Data Science, Angular & PHP, Angular & .NET, Symfony & React, Symfony & Vue, Symfony & Angular, Python, Symfony & JavaScript & Next.js & TypeScript, Data Analysis, React & PHP,  Project Management, Product Management, QA Automation, QA Manual, Embedded Software Engineering, React Native & Node, React Native & React, React Native & Ruby, React Native & Python, WordPress, Android, Data Annotation, Angular, Python & Node, React & Node.js, Java & Spring, Svelte & Python, Svelte & Node.js, Svelte & TypeScript, Rust, Shopify & JavaScript, Vue & Nuxt, PHP & Laravel, UI/UX Design, Animation, Graphic Design, React & Node & React Native, .NET & C#, Electron, Scala, C++, Unreal Engine & C++, Python & LLM, Unity, or Machine Learning Engineering, we would be happy to connect with you and match you with a project that fits your experience.

We do not provide visa assistance, and our cooperation model does not include the benefits typically offered with direct hire.

We work with developers from 75+ countries across Europe, Latin America, North America (the U.S. and Canada), selected countries in Asia (Japan, Singapore, South Korea, the Philippines, Indonesia, Malaysia, Vietnam, Thailand, and Israel), Oceania (Australia, New Zealand, and Papua New Guinea), and Africa (including Morocco and South Africa).

Please mention the word **GENIUS** and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Are you a talented Senior Developer looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe.

What we offer:

• The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
• No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best.
• We'll manually find the best project for you according to your skills and preferences.
• Choose a schedule that works best for you. It’s possible to communicate async or minimally overlap within team working hours.
• We respect your seniority so you can expect no micromanagement or screen trackers.
• Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah?
• We will support you from the time you submit the application throughout all cooperation stages.
• Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do.
• Through our community, we will connect you with the best developers from more than 75 countries.

We have several open positions for Full-Stack React.js Developers - please see the details below. We also have some backend positions; the full list is included below as well.

Requirements for the Senior React & Python Position:

• 4+ years of software development experience.

Commercial experience:

• React.js 3+ years & Python 3+ years
  OR
  React.js 2+ years & Python 5+ years
  OR
  React.js 5+ years & Python 2+ years

• Experience with AWS, GCP, or Azure is required.

Requirements for the Senior Ruby & React Position:

• 5+ years of software development experience
• React.js 2+ years and Ruby/Ruby on Rails 5+ years
  OR
  React.js 5+ years and Ruby/Ruby on Rails 2+ years
• Experience with AWS, GCP, or Azure is required.

Requirements for the Senior Node & React Position:

• 5+ years of software development experience

Commercial experience:

• React.js: 3+ years, Node.js: 5+ years, and Next.js: 2+ years
  OR
  React.js: 5+ years, Node.js: 3+ years, and Next.js: 2+ years
• Expertise in AWS, TypeScript and AI-assisted coding is a must.

Other requirements:

• Strong technical skills: as a Senior Developer, you are expected to be able to create projects from scratch and have a deep understanding of application architecture.
• Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls.
• Strong self-organizational skills — ability to work full-time remotely with no supervision.
• Reliability — we want to trust you and expect that you won’t let us and the client down.
• Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly.

Sounds good for you? Apply now and join the Lemon.io community!

NOT YOUR TECH STACK?

We have a variety of projects, so if you have 4+ years of commercial software development experience and are proficient in AI Agent Architecture, AI Automation Architecture, AI Engineering, Site Reliability Engineering, Platform Engineering, React & Golang, Golang, React & Java, Ruby, PHP & Vue, Vue & Node.js, React & .NET, Android & iOS, iOS & Swift, Flutter & Dart, Blockchain (Ethereum/Ethers.js/Wagmi/Viem/Solana), Angular & Node.js, Vue & .NET, Python & Vue, DevOps, MLOps, Data Science, Angular & PHP, Angular & .NET, Symfony & React, Symfony & Vue, Symfony & Angular, Python, Symfony & JavaScript & Next.js & TypeScript, Data Analysis, React & PHP, Data Engineering, Project Management, Product Management, QA Automation, QA Manual, Embedded Software Engineering, React Native & Node, React Native & React, React Native & Ruby, React Native & Python, WordPress, Android, Data Annotation, Angular, Python & Node, Java & Spring, Svelte & Python, Svelte & Node.js, Svelte & TypeScript, Rust, Shopify & JavaScript, Vue & Nuxt, PHP & Laravel, UI/UX Design, Animation, Graphic Design, React & Node & React Native, .NET & C#, Electron, Scala, C++, Unreal Engine & C++, Python & LLM, Unity, or Machine Learning Engineering, we would be happy to connect with you and match you with a project that fits your experience.

We do not provide visa assistance, and our cooperation model does not include the benefits typically offered with direct hire.

We work with developers from 75+ countries across Europe, Latin America, North America (the U.S. and Canada), selected countries in Asia (Japan, Singapore, South Korea, the Philippines, Indonesia, Malaysia, Vietnam, Thailand, and Israel), Oceania (Australia, New Zealand, and Papua New Guinea), and Africa (including Morocco and South Africa).

Please mention the word **PLEASURE** and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Oracle Fusion Cloud Lead — Logistics & Supply Chain Management

Greenfield Oracle Fusion Implementation

Company Tessera Labs AI

Role Type Senior consulting engagement — full-time or contract, workstream-critical role

Location Nearshore, based in Mexico or Brazil — remote-based delivery model; excellent business

English required for direct engagement with client stakeholders and leadership

Reports To Program Director / Engagement Lead, Tessera Labs AI

About the Role

Tessera Labs AI is a technology product firm delivering next-generation, AI-accelerated enterprise transformation programs. We are seeking an experienced Oracle Fusion Cloud Lead to own the Logistics and Supply Chain Management (SCM) workstream for a greenfield Oracle Fusion Cloud implementation for a fast-growing client.

This is a greenfield implementation from a process and configuration standpoint — there is no legacy SCM configuration to reverse-engineer or carry forward, and the opportunity is to stand up Oracle Fusion Cloud Inventory Management, Order Management, Indirect Procurement and related logistics processes from a blank slate, configured to Oracle standard wherever possible. Data is a different story: item, article, inventory, and other master and historical data still needs to be extracted, transformed, and loaded (ETL) from the client's legacy ERP into Oracle Fusion, and this role supports that migration effort alongside the functional design work.

This is a highly cross-functional, business-facing role. You will run discovery and design workshops directly with logistics, supply chain, and procurement stakeholders — including ownership of the Indirect Procurement value stream — translate their requirements into working Oracle Fusion design and configuration, and own the documentation trail from business requirement through configuration and test. You will also own the integration design connecting Oracle Fusion to Shopify for e-commerce order and inventory synchronization, and to the client'swarehouse management system(s) for outbound and inbound logistics — alongside integration with adjacent Oracle Fusion modules as applicable.

This is a nearshore delivery role, based in Mexico or Brazil, working in a remote-first model alongside Tessera's distributed FDE delivery and AI engineering teams. Because you will be running workshops and presenting directly tobusiness stakeholders and client leadership, excellent business English — spoken and written — is essential to this role.

Key Responsibilities

• Lead and facilitate business process workshops with logistics, supply chain, procurement, and operations stakeholders to capture requirements for a greenfield Oracle Fusion Cloud implementation, spanning Inventory Management, Order Management, Indirect Procurement, and related logistics processes.

• Own end-to-end functional configuration of Oracle Fusion modules — Inventory Management, Order

Management, and Procurement, with particular ownership of the Indirect Procurement value stream,

translating workshop outcomes into a working, standard-first system design.

• Configure and maintain the Oracle article/item master setup in line with fashion and apparel industry best practices (e.g., style, color, and size hierarchies, seasonal and pre-pack/kit structures) and Oracle Retail conventions.

Please mention the word **GOODNESS** and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

We're building a network of LLM Engineers who can design, build, and integrate practical AI features into existing products. We're looking for people to collaborate with on a freelance basis - part-time or full-time, depending on project needs.

This role is focused on delivery, not ML research. What matters most is your engineering foundation and your ability to integrate AI into real production systems using Python, Node.js, or Ruby codebases.

Requirements

What we're looking for

• Strong software engineering background - Python, Node.js, or Ruby
• Hands-on experience integrating LLM APIs into production systems (OpenAI, Anthropic, or similar)
• Ability to design pragmatic AI solutions within existing architectures
• Experience building RAG pipelines, embeddings, and vector search
• Understanding of cost, latency, and reliability constraints of AI systems
• Ability to work independently with clients and set realistic expectations
• Background in big data or data pipelines is a big plus
• English B2/C1
• Availability part-time or full-time (B2B contract)
  
  

What You'll Do

• Add AI functionality into existing Python, Node.js, and Ruby codebases
• Build LLM-powered features: chat, summaries, classification, smart search, document Q&A
• Design lightweight RAG pipelines using embeddings and vector search
• Work with vector DBs (pgvector, Pinecone, Qdrant)
• Implement safe, reliable LLM endpoints (OpenAI, Anthropic, Azure)
• Work directly with clients to shape AI features and reduce manual effort
• Advise clients when NOT to use AI and navigate trade-offs around latency, accuracy, and cost
  
  

What do we mean by freelance?

• Read more at Monterail Tech Network

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Location: Remote (Must work during Eastern timezone business hours)

About Wisk.ai

Wisk.ai is an industry-leading platform that helps hospitality businesses streamline their beverage and food operations through intelligent inventory management, analytics, and automation. Our platform helps restaurants, bars, and hotels streamline their inventory management, reduce waste, and improve profitability — giving operators the insights they need to run their businesses efficiently.

We’re proud to be working with some of the most recognized names in the hospitality industry – from global restaurant groups to iconic venues – all relying on Wisk to power their operations. As we continue to grow, we’re tackling exciting new technical challenges, including AI-powered features that will reshape how hospitality businesses operate and make decisions.

The Opportunity

We are looking for a Back-End Developer to help design, build, and scale the systems that power Wisk.ai. Because our platform integrates with a wide variety of external systems and continues to evolve, we value strong back-end fundamentals over experience with any single programming language or framework.

You will work closely with product, front-end, and data teams to deliver reliable, secure, and high-performing services that support real-world business operations.

What You’ll Do

• Design, build, and maintain scalable back-end services and APIs
• Develop and maintain integrations with third-party systems
• Work with data pipelines and storage systems
• Improve system performance, reliability, and observability
• Contribute to architectural decisions as the platform evolves
• Collaborate with cross-functional teams on new features, including AI-driven capabilities
• Participate in code reviews and promote best practices

What We’re Looking For

• Experience building back-end systems using any modern technology stack
• Strong understanding of API design and back-end architecture
• Experience working with relational and/or NoSQL databases
• Familiarity with cloud-based and distributed systems
• Ability to write maintainable, well-structured, and testable code

Nice to Have

• Comfort working with an AWS production environment (EC2, ECS/EKS, RDS, S3, Lambda, CloudWatch, Terraform)
• Experience with CI/CD pipelines and infrastructure-as-code
• Experience working on SaaS platforms or data-intensive applications

Why Wisk.ai

• Build products used by leading hospitality brands around the world.
• Work on meaningful problems at the intersection of data, AI, and user experience.
• Collaborative, remote-friendly team with flexible working hours.
• Competitive compensation and opportunities for growth.

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About Inspiration Commerce Group (ICG)

We’re a team of ~50 people who’ve done 6 acquisitions in 18 months and scaled from $0 to >$100M in revenue. We’re a global group with businesses across the US, UK, and EU. We buy and build companies that help people find and buy the products they love. Our portfolio includes leading fashion marketplaces like Italist, HEWI and Verishop, affiliate marketing platforms like Stylight and MyBestBrands, B2B technology solutions like Bonsai, and niche Marketplaces in the Creator and Construction spaces like Everpress and DOZR.

About This Role

Italist and HEWI are two luxury fashion marketplaces — one focused on new-season pieces sourced directly from Italian boutiques, the other on pre-loved luxury goods — and together they serve shoppers across the globe. As a Customer Support Agent, you'll be the first point of contact for our customers: answering questions, resolving issues, and making sure every interaction leaves them feeling heard and taken care of.

This is a fully remote role. You'll work closely with a small, tight-knit CS team and be expected to bring professionalism, empathy, and a real sense of ownership to every ticket you touch.

What You'll Do

• Handle inbound customer inquiries across email and chat through Gorgias, our customer support platform — covering order status, returns, shipping, sizing, and everything in between — for either Italist or HEWI
• Resolve issues efficiently and thoroughly, escalating to the team lead when a situation calls for it
• Navigate Shopify and our customs admin to look up orders, track shipments, and assist with post-purchase queries across both stores
• Maintain accurate records and follow established SOPs, while flagging anything that seems broken or improvable
• Represent two luxury brands with warmth and professionalism in every customer interaction
• Collaborate with teammates across time zones to ensure consistent coverage and quality
  
  

About You

• You have hands-on experience in a customer-facing support role — e-commerce or fashion experience is a plus
• You're calm under pressure, empathetic with frustrated customers, and quick to find solutions
• Ownership Mentality: You don't wait to be told what to do. If a ticket needs solving, you solve it — and if something keeps going wrong, you flag it rather than work around it quietly
• You're comfortable working independently in a remote environment with minimal hand-holding
• Experience with Gorgias or similar helpdesk tools (Zendesk, Freshdesk) is a meaningful advantage; familiarity with Shopify is a plus
• You're fluent in English; additional languages (Italian, French, German, Arabic, Japanise) are a genuine advantage given our customer base
• You're okay with some structure and some ambiguity — startups are a mix of both
  
  

What We Can Offer You

• A starting salary in the €1200–€1,600 range (gross) per month for 40h work week + 20 days of vacation per year (compensation range varies based on candidates experience and performance during interviews)
• A fully remote, flexible work environment — we hire adults and treat them like adults
• Real exposure to luxury e-commerce operations across two global brands
• A small team where your work is visible, your feedback is heard, and there's room to grow
  
  

A Note on the Contract

This is a full-time B2B engagement — meaning we'll work with you as an independent contractor rather than a direct employee. We operate this way because ICG does not currently have a legal entity in Croatia. All compensation is quoted and paid gross; you'll be responsible for your own tax and social contributions on your end. If you're already set up as a sole proprietor (e.g. paušalni obrt or d.o.o.) or open to setting one up, this arrangement is straightforward. We're happy to walk you through how it works during the process.

What We Can't Offer You

• A formal employment contract. This is a B2B engagement — see above.
• Perfect work/life balance all the time. Startups move fast, and customer needs don't follow a 9-to-5 schedule. We'll work together to keep things reasonable, but flexibility goes both ways (we do not expect employees to work more then 8h a day)
• A large support infrastructure to hide behind. You'll need to think on your feet and adapt quickly.
  
  

Our Process

• Application — We'll review within 72 hours and follow up either way
• Intro Call — A short conversation with Jurica or another team member to get to know each other (30 min, Google Meet).
• Skills Assessment — A brief, practical exercise to see how you handle a realistic support scenario.
• Final Interview — A deeper conversation with Karlo, including time for your questions.
• Offer — The fun part.
  
  

If you have any questions at any point, feel free to reach out directly.



Please mention the word **ENJOYING** and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Location

London

Employment Type

Full time

Department

Engineering

Compensation

• UK£100K – £250K
• Offers Equity
• US$150K – $400K
• Offers Equity
  
  

We aim to pay 90th percentile for the industry. All roles including meaningful equity ownership.

Slingshot AI

Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want.

We’re building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we’d love to hear from you.

Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London.

We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others.

The role

This is a chance to join a passionate team leveraging cutting-edge AI to improve mental health access globally. As a Member of Technical Staff focused on Production Engineering, you will build the platform that powers Ash at scale. You'll work across voice and AI stacks, internal services, and the data systems around them, improving observability, deployment, and platform tooling to scale reliably.

As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about delivering value to our users and ultimately to make people's lives better. We are looking for builders who care deeply about the quality of their work and want to ship things that make a real difference in people's lives.

Our tech stack uses Dart/Flutter for the app, Kotlin for core backend services, Python for our ML work, Next.js/TypeScript for internal tooling, as well as Rust for low level media streaming. We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider. You're not required to be an expert in all of these tools, but we would like you to come with a learning mindset and to not be afraid of getting your hands dirty with whatever tool the job might require.

About You

• 6+ years of software engineering experience, with a track record of operating production systems at meaningful scale in high-growth, high-quality environments.
• Strong systems instincts and real opinions about latency, reliability, and cost. You know what breaks first under load, and you design around it.
• Driven by creating a world-class product with a world-class team, want to own what you build, and you're happy redesigning systems as production teaches you something new.
• Comfortable building across the full stack, a keen learner who picks up new languages, technology stacks, and concepts quickly.
• Experience working in a fast paced environment, taking systems from prototype to scaled production in weeks.
  
  

Nice to have

• Experience working on production AI inference or model serving systems.
• Experience working on realtime systems such as voice, live communications, or streaming.
• Experience working on large-scale data pipelines or evaluation systems.
• Experience working with ML codebases (we don't need you to be an ML Engineer, but having an interest in AI helps!)
  
  

Key responsibilities

• Collaborate within a cross-functional team spanning engineering, machine learning, and product to quickly design, build, and launch new features across the stack.
• Work comfortably across all parts of our stack, which includes core backend (Kotlin), ML scripts for evaluation, data processing, and inference (Python), low-level media streaming (Rust), the app (Dart/Flutter), and internal tooling (Next.js/TypeScript).
• Elevate user experience by continually refining the reliability, performance, and scalability of the systems behind Ash.
• Rapidly investigate, diagnose, and resolve production issues with a focus on latency, reliability, and cost.
• Take initiative to independently prototype new features based on customer feedback and your own product intuitions.
  
  

What We Offer

• A chance to join a passionate tight-knit team working on something to change the world
• Competitive compensation (top of personal market)
• Travel between our NYC / London offices
• Usual startup perks like free lunch and coffee in office + generous learning budget
• We cover your personal therapy
  
  

Compensation Range: £100K - £250K

Please mention the word **PERFECT** and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

About HiredBuddy

At HiredBuddy, we connect domain specialists and subject-matter experts with leading AI research labs to shape and train the next generation of artificial intelligence. We focus on high-quality data annotation, RLHF (Reinforcement Learning from Human Feedback), and model evaluation across various domains, ranging from STEM and software engineering to linguistics and data science.

Position Overview

We are seeking a detail-oriented, highly analytical Junior Data Analyst based in the United States to join our growing remote team. In this role, you will play a crucial part in monitoring dataset quality, analyzing annotator performance metrics, optimizing labeling pipelines, and delivering insights that improve our AI training data pipelines.

This is an ideal role for an early-career analyst passionate about the intersection of data, machine learning, and AI operations.

Key Responsibilities

• Data Quality Assurance: Audit, clean, and validate large datasets generated by our network of AI trainers and domain experts to ensure high precision and adherence to guidelines.
• Performance & Metrics Tracking: Analyze annotator accuracy, turnaround times, and throughput using SQL, Python, and BI dashboards to help optimize operations.
• Pipeline Optimization: Collaborate with cross-functional teams (Operations, AI Specialists, and Product) to identify bottlenecks in data labeling pipelines and recommend data-driven solutions.
• Reporting & Dashboards: Build, maintain, and update daily/weekly operational reports and dashboards for internal stakeholders and client leads.
• Guideline Calibration: Analyze edge cases and error patterns in dataset outputs to help refine project annotation instructions and rubrics.

Qualifications & Skills

• Education: Bachelor’s degree in Data Analytics, Computer Science, Statistics, Information Systems, or a related quantitative field (or equivalent practical experience).
• Technical Skills:
• Proficiency with SQL for data querying, aggregation, and analysis.
• Practical knowledge of Python or R for data manipulation (e.g., Pandas, NumPy).
• Experience with visualization tools like Tableau, Power BI, or Looker.
• Advanced Excel / Google Sheets skills (Pivot tables, VLOOKUP/XLOOKUP, complex formulas).
• Analytical Mindset: Strong problem-solving skills with a high degree of attention to detail when working with complex datasets.
• Communication: Ability to clearly translate data findings into actionable insights for non-technical team members.
• Work Authorization: Must be legally authorized to work in the United States.

Nice-to-Haves

• Familiarity with AI/ML concepts, data annotation workflows, or RLHF (Reinforcement Learning from Human Feedback).
• Prior experience or internship experience in an operations-focused analyst role.

What We Offer

• 100% Remote Flexibility: Work from anywhere in the US.
• Cutting-Edge Industry Exposure: Gain hands-on experience at the forefront of AI model training and evaluation.
• Growth Opportunities: Direct mentorship and opportunities to advance within a fast-growing tech environment.
• Competitive Compensation: Hourly/Salaried rate commensurate with experience.

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Who We Are

Wingspan is the first payroll platform designed specifically for independent contractors and their businesses. We simplify onboarding, payments, and compliance for flexible workforces of all sizes, from solo operators to large enterprises. 

We're a Series B startup based in NYC with distributed teams in the USA, Poland, and the UK, and backed by Andreessen Horowitz (a16z), Touring Capital, and a strong network of operators, including the CEOs and founders of Warby Parker, Harry's, Allbirds, Invision, and Flatiron Health.

About the Role

As a Software Engineer on the Payment Operations team, you will be responsible for the execution layer that ensures every dollar on Wingspan's platform is accounted for, reconciled, and moved accurately on time. You will have direct access to production systems, a mandate to identify what's broken or inefficient, and the authority to engineer the fix. 

This role reports to the Head of Payments & Compliance Operations and is based in Warsaw, Poland, with a remote work model.

What You'll Do

• Design, develop, and ship internal systems and automation that eliminate entire categories of operational toil, owning every problem end-to-end from initial diagnosis to permanent fix
• Build and maintain reconciliation infrastructure that keeps Wingspan's ledger, bank records, and platform transaction data in continuous alignment, automatically and at scale
• Develop monitoring and alerting systems that surface funding health issues and payment anomalies in real time, ensuring problems are caught and resolved before they ever reach a customer
• Collaborate with Engineering, Product, and Finance to identify recurring operational patterns and translate them into platform-level improvements that raise the reliability ceiling for the entire system
• Contribute to the growth of our engineering culture by sharing knowledge, participating in code reviews, and proactively identifying opportunities to improve how the team builds, observes, and automates

Qualifications & Requirements

• 3+ years of experience in a software engineering or engineering-adjacent role with exposure to payment systems, backend services, or data pipelines
• Strong SQL skills, comfortable writing standalone scripts and using AI tools such as Claude Code, Open AI, etc 
• Familiarity with RESTful APIs and backend services, with Node.js an
  
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At Vomela our greatest asset is our people. As a full-service visual communications company, we are looking for creative and intellectual thinkers that work with our customers to create compelling brand solutions and foster meaningful connections. And while you're focused on creating big things for global and local brands, we will help you build a career you can be passionate about.

Apply now to find your place at Vomela.

Pay Range: $180 - 200k USD

Job Summary

The Principal Data Engineer is the highest-performing contributor on our data engineering team - the person who sets the technical bar, owns the data platform end to end, and delivers work that others study. You'll define and execute data strategy at the engineering level, operating as the technical point of the spear for how the organization builds, scales, and trusts its data. You write production code. You design the architecture. You solve the problems that block everyone else. You mentor without being asked, influence without authority, and deliver without handholding. You're a force multiplier and you're hungry to shape not just the platform, but the broader data strategy of the business.

Microsoft Fabric is our data platform. This role is for someone genuinely energized by the Fabric ecosystem, who tracks its evolution closely and sees its breadth - Lakehouse’s, Event streams, Semantic models, Notebooks, Pipelines, Direct Lake as an opportunity, not a constraint. If you're looking for a role where your technical judgment shapes the trajectory of the entire data organization, this is exactly it.

What You'll Do...

• Design and implement dimensional models, star schemas, and snowflake schemas with rigor
• Build and maintain semantic models that serve as the single source of truth for business reporting
• Implement Slowly Changing Dimension (SCD) strategies appropriate to each domain
• Own master data engineering: golden record patterns, source-of-record authority, cross-system identity resolution
• Establish and enforce data modeling standards across the team
• Design and operate real-time and near-real-time pipelines using streaming technologies (Kafka, Confluent Cloud, Fabric Eventstreams) — and know when streaming is the right answer and when it isn't
• Relentlessly drive down data staleness in non-streaming scenarios through intelligent scheduling, incremental load optimization, and pipeline orchestration design
• Own performance tuning across the full stack — query optimization, partition strategy, indexing, Delta table compaction, semantic model refresh efficiency, and Direct Lake readiness
• Apply operational engineering discipline: pipeline observability, alerting, SLA definition, failure recovery, and capacity planning
• Design and implement controls appropriate for sensitive data (financials, PII, HIPAA, etc.)

ETL / ELT Pipeline Development

• Build robust, scalable, observable pipelines — watermark-based incremental loads, CDC patterns, batch and streaming architectures
• Ensure pipelines are idempotent, recoverable, and production-hardened
• Serve as the senior technical voice in code review — your approval carries weight

Report & Analytics Delivery

• Translate business requirements into semantic models and report-layer artifacts that non-technical users can trust and navigate
• Serve as the platform's primary technical interface across consumer groups: Power BI report builders needing trusted, well-modeled semantic layers; AI/ML developers needing governed, feature-ready data surfaces; application developers consuming data via SQL endpoints, REST APIs, or Direct Lake
• Define and enforce data contracts — schema stability, access patterns, SLAs — for each consumer class
• Own the developer experience of the platform: discoverability, documentation, and onboarding

Required

• Microsoft Fabric: Lakehouses, Notebooks, Dataflows Gen2, Event streams, Semantic Models, Direct Lake mode
• Power BI: report development, dataset/semantic model design, DAX proficiency
• SQL Server / Azure SQL/Postgres: query optimization, schema design, stored procedures
• Azure DevOps: Git-based development workflows, CI/CD for data pipelines

·        Demonstrated use of AI coding assistants in a production engineering workflow

·        Ability to critically evaluate, edit, and improve AI-generated code and artifacts

·        Clear understanding of where AI accelerates work and where it introduces risk

Preferred Qualifications

• Familiarity with broader Azure Data Services (Azure Data Factory, Synapse Analytics, ADLS Gen2, Event Hubs) as complementary tooling
• Experience in a private equity-backed or multi-entity portfolio company environment
• Exposure to MDM platforms (Profisee, Semarchy, Ataccama, or equivalent)
• Experience with Confluent Cloud / Apache Kafka for streaming ingestion into Fabric or Synapse
• Familiarity with cross-tenant Azure / Fabric architecture
• Background in business analysis, solutions architecture, or pre-sales engineering
• Microsoft Fabric or Azure Data Engineer certifications

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off
• Short Term & Long-Term Disability
• Training & Development
• Wellness Resources

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The Company You’ll Join

At Rebuy, we’re on a mission to revolutionize shopping with intelligent, personalized experiences that wow customers around the globe. As a fully remote team, we power some of the fastest-growing DTC brands like Aviator Nation, Liquid Death, Magic Spoon, Blenders, Laird Superfoods, Primal Kitchen, and many more.

We believe in ownership, drive, and empathy, and strongly uphold that every team member plays a vital role in shaping the future of intelligent commerce. Our culture thrives on collaboration, creativity, and genuine passion. We don’t just build great tech - we build lasting partnerships, a strong community, and a place where people love to work.

The Problems You’ll Solve

Rebuy and its team members continually strive to create a high-spirited, intentional work environment that stresses performance, productivity, collaboration, and merit.

As a Sr. Software Engineer, Back-End, you’ll own some of the most consequential systems at Rebuy. Your primary anchor is our billing and payments infrastructure — the engine that determines how merchants are charged, how partners get paid, and how financial balances flow across our entire product suite. This is genuinely complex financial engineering. It requires deep PHP and Go expertise, careful architecture, and judgment that no automated tool can replicate. Merchant billing runs daily, touches real revenue, and demands someone who understands both the technical and business dimensions of every decision.

Alongside billing, you’ll grow into a broader platform portfolio — the partner portal, data ETL pipelines, customer-facing APIs, and reporting infrastructure that power the business. And in the near term, you’ll play a critical role in a significant technical migration: moving our legacy Code Igniter 2 codebase to Code Igniter 4, including work tied to increasing our enterprise market share. This migration requires hands-on PHP expertise and cannot be deferred.

You won’t be handed a sprawling list of things you must do on day one. You’ll be trusted to grow into this role — and rewarded when you do.

• Billing & Payments Architecture: Design and build Rebuy’s centralized billing system that handles merchant billing, partner payments, and customer-facing charges. Architect the integration layer that allows payment balances to be applied across Rebuy’s full suite of services. Tackle genuinely complex financial engineering challenges with PHP and Go at scale.

• Build Robust APIs: Design and implement secure, well-structured APIs in PHP and Go to power billing events, payment processing, and financial data flows across our platform and Shopify integrations.

• Legacy Modernization: Lead and contribute to the migration of our Code Igniter 2 codebase to Code Igniter 4. This is high-priority, near-term work with real business dependencies — including enterprise partnership commitments — and requires a PHP engineer with the experience and judgment to do it right.

• Agentify the Platform: Partner with product and engineering to identify where AI agents can automate workflows, surface insights, and guide merchants through our product. Build the backend systems — APIs, data pipelines, and event hooks — that enable intelligent automation. This is genuinely new territory and one of the most exciting growth vectors for Rebuy’s product.

• Platform Breadth: Our team owns more than billing and payments — we also support a partner portal, data ETL pipelines, customer-facing reporting APIs, and the infrastructure that makes data flow reliably across the business. You won’t be responsible for all of it on day one, but you’ll have genuine opportunities to grow into the areas that most interest you. Engineers here don’t get siloed; they get context.

• Engineering Best Practices: Contribute significantly to the engineering culture at Rebuy by establishing, documenting, and promoting best practices. Lead initiatives to introduce and standardize frameworks and tools that increase development efficiency and maintainability.

• Security & Compliance: Stay current with the latest security trends, vulnerabilities, and best practices as they apply to billing and payment systems. Champion security-first engineering across authentication, authorization, data encryption, and compliance considerations in everything you build.

• PHP Technical Leadership: Serve as a key technical anchor for PHP across the engineering organization. Rebuy’s codebase has significant PHP depth and relatively few engineers with that expertise. You’ll lead code reviews, share knowledge actively, and help raise the PHP competency of the broader team.

• Quality Assurance: Conduct quality checks on deliverables to ensure code, setup, and configurations meet expected results. Ensure that all features meet high standards of quality and performance before deployment.

• Team Collaboration: Engage actively in building a strong team culture. Work closely with the Product Owner, Engineering Manager, and peers across billing, payments, partner tools, and data infrastructure to define requirements, estimate effort, and drive solutions forward. This is a team where your voice matters — you won’t just be handed tickets. Assist the Support team in triaging and resolving high-priority production issues.

Technologies We Use:

• AI: Anthropic Enterprise Claude Code / Co-work, Cursor, Adhoc AI tools budget.

• Frontend Technologies: React, TypeScript, GraphQL, VueJS, Angular

• Backend technologies: PHP, GO, MySQL, BigTable, Elasticsearch

• Other Tools: Jira, Bitbucket, Confluence, Google Suite, Slack, One Password, Notion

Who You Are

We’re stoked to meet you and get to learn more about you, your experience and your interest in joining our team.

The Hard Skills:

• Experience building or maintaining billing, payments, or financial systems — including working with payment processors, subscription engines, invoicing pipelines, or similar financial infrastructure in a production SaaS environment.

• Educational background in CS // Engineering or a similar area.

• 5+ years of hands-on experience building backend applications with PHP and Go, with a proven track record of delivering complex, high-traffic systems.

• Experience designing and implementing secure, scalable, and maintainable RESTful APIs in PHP and Go, with a deep understanding of API design patterns, versioning, and performance optimization.

• Experience with cloud-based technologies, preferably GCP.

• Strong understanding of a performant SaaS environment.

• Experience in a Scrum/Agile environment.

• Experience with the Atlassian suite, including Jira and Bitbucket.

• Solid understanding of security fundamentals as they apply to backend and financial systems — including secure coding practices, authentication/authorization patterns, data encryption, and awareness of current vulnerability trends (e.g. OWASP Top 10)

The Soft Skills:

• A collaborative mindset and work approach with the ability to lead projects and mentor others.

• The ability to thrive in a fast-paced environment with a high level of autonomy and responsibilities.

• Excellent communication skills, especially being able to explain technical concepts to both technical and non-technical audiences.

• Genuinely curious about the intersection of engineering and business. You care about the downstream impact of what you build — not just that the code works, but that it moves the company forward.

Who You’ll Meet With

Now let’s get into who you’ll meet during our interview process! After you submit your application and it’s been reviewed by our team, we will reach out to you inviting you to meet with us. From there, you can expect an interview process similar to this:

• An introductory call with someone from the Talent Acquisition team for about 30 min.

• Interview with the Hiring Manager to learn more about you and answer your questions about Rebuy and this role

• A coding challenge and white boarding exercise to show us your skillset during a live panel interview with a few team members.

• Short final interview with our CEO and COO where you’ll get to learn more about Rebuy.

The Perks You’ll Enjoy

Rebuy is a fully remote company across the U.S. and Canada that aims to provide all of our team with the resources, support and flexibility they need to thrive in their roles.

• Team: We’ve got the best, brightest, most brilliant team members who are excited to meet you! We also like to think we have a good sense of humor.

• Remote Work: With a strong internet connection, you’re able to work from anywhere within the U.S. and Canada.

• PTO: We offer a flexible vacation policy, generous holiday schedule, parental leave and sick policy. There’s other policies too like a birthday holiday!

• Amazing Benefits: 100% free health, dental, and insurance for you and your family. Don’t worry, there’s even more!

• Retirement Plans: For our U.S. employees we offer 401(k) retirement plans and for our Canadian employees we offer a TFSA and RRSP retirement plans. You’ll also enjoy a 3% contribution of your gross salary, no matter where you’re located!

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $130,000 - $180,000 USD annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter and hiring manager can share more about the specific salary range for the job location during the hiring process.

Disclosures:

Equal Opportunity Statement

Rebuy, Inc. is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.

Rebuy, Inc. aims to make rebuyengine.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email hr@rebuyengine.com.

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Position Summary:

The Creative Strategist is responsible for developing and ensuring fulfilment of the creative pipeline based on company SOPs.

The Creative Strategist is responsible for translating performance goals and audience insights into a clear, testable creative direction that drives measurable growth. This role owns creative strategy from ideation through execution and analysis—defining winning beliefs, angles, and archetypes; building and maintaining a structured testing roadmap; and ensuring creative assets are organized, tracked, and optimized over time.

Working closely with Media Buyers, Project Managers, and the Edit team, the Creative Strategist ensures creative priorities align with performance data, testing insights, and ICP mindset frameworks. Success in this role is measured by the ability to generate repeatable creative learnings, accelerate testing velocity, and continuously improve concept-level performance through disciplined strategy, collaboration, and reporting.

This role requires someone who's both creative and operationally sharp — a marketer who can move quickly, manage multiple projects, and understand how to make content that resonates with the marketing industry's most ambitious players.

The primary goal of this role is Revenue and Retention Focused.

Core Values:

• High Performance & Excellence
• We set a high standard, deliver results, and continually raise the bar
• Integrity & Authenticity
• We act with honesty, transparency, and consistency — who we say we are is how we show up, bringing our best every day
• Growth & Innovation
• We are curious, adaptable, and committed to learning, evolving, and finding better ways to create value
• Collaborative & Intentional
• We work as a true team, respecting and challenging each other through uplifting, productive and constructive communication
• Ownership & Accountability
• We take responsibility for our roles, our impact, our outcomes, ensuring follow-through with persistence, resourcefulness and intentional urgency
  
  

Our Mission

• Completely disrupt the affiliate industry bringing transparency to affiliates
• Expose every "other network" for putting out unproven offers
• Bridge the gap between brands and media buyers that want growth
  
  

Key Responsibility Areas:

• Creative Strategy: Define winning beliefs & angles, map into archetypes, align with Creative Strategy OS
• Testing Roadmap: Plan what we test next (angles, archetypes, formats), aligned with MB & DOP priorities
• Pipeline Management: Create creative requests, manage status inside the Creative Pipeline, and coordinate with Edit Crew
• Asset Management: Maintain dossiers, IDs, folders, and creative trackers so nothing is lost or duplicated
• Creative Reporting: Deliver creative insights for internal optimization notes and client-facing reports
• Performance Analysis: Read Atria/Cometly reports for concept-level learnings (by angle & archetype, not just ad ID)
• Collaboration and Comms: Sync with MB & POM on priorities, timelines, and issues
• Mindset and ICP Work: Apply Mindset Marketing Playbook to every new brief (relatability, beliefs, objections)
  
  

The Ideal Candidate

The ideal Creative Strategist is both creatively sharp and operationally disciplined. They have a strong intuition for what makes ads work, grounded in performance data—not personal taste—and can translate insights into clear testing hypotheses, briefs, and scalable frameworks. This person is highly organized, comfortable managing multiple workstreams, and thrives in fast-paced environments where speed, clarity, and accountability matter.

They collaborate effectively with Media Buyers, Project Managers, and editors, communicate clearly, and take ownership of creative outcomes end-to-end. A strong candidate is curious, structured, and proactive—constantly learning from performance data, refining ICP understanding, and turning insights into repeatable creative wins.

Requirements

You'll succeed in this role if you:

• Have 2-5 years of experience in creative strategy, performance marketing, or content strategy within an agency or fast-growth marketing environment
• Have worked closely with media buyers, performance teams, or paid social campaigns, and understands how creative impacts CPA, CTR, and scale (you don't need to run ads)
• Understand core performance marketing concepts like funnels, angles, hooks, testing frameworks, and creative iteration
• Can translate data and insights into clear creative direction, briefs, and test plans that editors and media buyers can execute against
• Are highly organized and detail-oriented, with experience managing creative pipelines, asset tracking, and documentation without things falling through the cracks
• Are comfortable working inside tools like Monday, Google Sheets, and Drive to manage requests, reporting, and creative learnings
• Use AI tools to accelerate ideation, analysis, and documentation while maintaining strong strategic judgment and creative quality
  
  

Benefits

Compensation

• Total Potential Earnings: $50,000-$65,000
• Bonuses: up to $15,000
• 1099
• Full-Time
• Remote

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At Base, our mission is to empower entrepreneurs to succeed in the global e-commerce landscape. We provide a technology platform that revolutionizes their online sales operations.

Our international team, spanning from Europe to the Americas, delivers a comprehensive, all-in-one solution to thousands of merchants worldwide. We offer seamless integrations with industry leaders, including Amazon, eBay, Shopify, DHL, and FedEx.

However, we are more than just a technology company. We are one of the fastest-scaling platforms in the sector, having achieved 15x growth over the past three years. We cultivate a culture where tangible impact and collaboration are paramount, with our team being the driving force behind our innovation.

If you are driven to shape the future of global e-commerce, we invite you to apply. Your opportunity awaits.

Currently, we are looking for a Business Intelligence Developer (SQL, PowerBI) to take a key role in our data experts team and transform data into actionable insights that will shape the company's dynamic growth strategy. You will play a key role in every stage of the development of our reporting platform, taking end-to-end ownership from gathering requirements, data ingestion and warehousing, through robust data modelling and validation, to the creation of meaningful insights and reporting that enable informed strategic decisions and drive operational excellence across the business.

We seek curious "doers" who are passionate about data analyses and thrive in a role that combines deep technical expertise with strategic business understanding.

You'll be a perfect fit for this role if you have deep expertise in data warehousing and visualization (using Microsoft PowerBI), exceptional analytical and technical skills (advanced SQL proficiency is essential), and a business-first mindset with the ability to think critically and strategically.

Requirements

• 3+ years of experience in Business Intelligence
• Understanding of data warehousing architecture, data modeling concepts, and ETL/ELT best practices
• Advanced proficiency in SQL for complex querying, performance tuning, and data manipulation
• Expertise with business intelligence/data visualization tools (Microsoft PowerBI is a must!)
• Proficiency with version control (Git)
• Flexibility to quickly adapt to changing priorities within a very dynamic startup environment
• Effective and flexible communication skills, including the ability to translate technical details into business and commercial objectives, and vice versa
• A proactive communication style - you're not afraid to challenge the status quo and articulate your vision to both technical and non-technical stakeholders
• Self-driven and detail-oriented mindset while working with data
• Nice-to-have: hands-on experience with AWS data components, like Iceberg, S3, Glue and Redshift for transformation, ingestion and storage of data
• Nice-to-have: experience AI-driven data structures development
  
  

Tasks

• Own the full lifecycle of BI development: from gathering and challenging business requirements to solution design, deployment, and fostering end-user adoption
• Act as a key partner for business stakeholders and data engineers, effectively translating business needs into robust technical solutions
• Design, develop, and maintain scalable and robust Business Intelligence solutions using our modern tech stack (AWS Redshift, AWS RDS, Microsoft PowerBI, Git, AI tools)
• Develop comprehensive data models and build interactive dashboards using Microsoft PowerBI
• Perform both ad-hoc data analysis and build automated reporting solutions that empower business users
  
  

Benefits

• Pivotal role in an expert team where your contributions have an immediate and visible impact on the business
• Chance to develop opportunities in the modern up-to-date cloud technologies environment
• Casual and friendly atmosphere at work and the ability to work with an international team of passionate professionals
• High level of ownership and a real impact on our data strategy
• Growth opportunity in a place focused on long-term collaboration and your personal growth

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About CertifyOS

CertifyOS is building the data infrastructure that powers modern healthcare.

Today, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem.

Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale.

Our vision is simple: One API. One provider ID. Frictionless provider data.

We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients.

About the Role:

As an Intern Machine Learning Engineer on a 6-month contract, you will help build, test, and deploy ML-powered services on our provider data platform. This is not a pure research role; the focus is on strong software engineering, testing, and robust evaluation rather than novel model architectures.

You will own features end-to-end by collaborating with stakeholders, implementing production-ready code, designing evaluation pipelines, and deploying services on Google Cloud Platform (GCP). This is a fully remote position.

What You’ll Do:

Design, implement, and maintain ML-driven services and data workflows in Python.

Apply software engineering best practices, including clean code, testing (unit and integration), code reviews, CI/CD, observability, and documentation.

Build and maintain evaluation pipelines and metrics to measure model and system performance in production-like environments.

Deploy and operate ML services on GCP, including tools such as Cloud Run, GKE, Cloud Functions, Pub/Sub, BigQuery, and Cloud Storage.

Troubleshoot and improve existing ML services with a focus on reliability, latency, and correctness.

Collaborate proactively with internal stakeholders across product, operations, engineering, and data teams to clarify requirements and iterate on solutions.

Communicate clearly about trade-offs, risks, timelines, and results to both technical and non-technical audiences.

What You’ll Need:

Experience as a Software Engineer or Machine Learning Engineer.

Strong proficiency in Python and experience building production services.

Hands-on experience deploying and running workloads on Google Cloud Platform.

Expertise in writing and debugging SQL queries.

Strong foundation in software engineering fundamentals, including testing, debugging, version control (Git), CI/CD, and monitoring.

Experience evaluating ML systems by defining metrics, building evaluation datasets, running experiments, and interpreting results.

Ability to work independently, take ownership, and drive projects with limited supervision.

Excellent written and verbal communication skills in English.

Comfort proactively reaching out to internal stakeholders to understand requirements.

Bonus Points If You:

Have experience writing code in Java.

Have built or maintained data pipelines or ETL jobs on GCP.

Have experience working with healthcare data, compliance requirements, or PII.

Have used experiment tracking and evaluation tools such as MLflow, Weights & Biases, or custom dashboards.

Benefits of Working at Certify

• At Certify, we’re building with intention and taking care of the people doing the work.

• Your well-being matters to us. We provide 100% coverage of health, dental, and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO, with at least two weeks off each year to recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women.

We are an equal opportunity employer committed to building an inclusive environment where everyone feels valued and empowered to do their best work, and we welcome applicants from all backgrounds and experiences.

If you require reasonable accommodations during the application process, please contact recruiting@certifyos.com.

We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.

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About Liquid AI

Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.

The Opportunity

This is a rare chance to apply frontier sequential recommendation architectures to real enterprise problems at scale. You will own applied ML work end-to-end for recommendation system workloads, adapting Liquid Foundation Models for customers who need personalization and ranking capabilities that run efficiently under production constraints.

Unlike most recommendation roles that are siloed into a single product surface, this role gives you full ownership over how large-scale recommendation models are adapted, evaluated, and deployed for enterprise customers. Between engagements, you will build reusable applied tooling and workflows that accelerate future delivery.

If you care about data quality at scale, user behavior modeling, and making recommendation systems actually work in enterprise production environments, this is the role.

What We’re Looking For

We need someone who:

• Takes ownership: Owns customer recommendation system engagements end-to-end, from requirements through delivery and evaluation.

• Thinks at scale: Can reason about user interaction data, sequential modeling, feature engineering, and evaluation across large-scale production systems.

• Is pragmatic: Optimizes for measurable customer outcomes (engagement, conversion, revenue lift) over theoretical novelty.

• Communicates clearly: Can translate between customer business metrics and internal technical decisions, and push back when needed.

The Work

• Act as the technical owner for enterprise customer engagements involving recommendation and ranking workloads

• Translate customer requirements into concrete specifications for recommendation models

• Design and execute data pipelines for user interaction data, feature engineering, and training data curation at scale

• Fine-tune and adapt large-scale sequential recommendation models (e.g., HSTU-style architectures) for customer-specific use cases

• Design task-specific evaluations for recommendation model performance (ranking quality, latency, throughput) and interpret results

• Build reusable applied tooling and workflows that accelerate future customer engagements

Desired Experience

Must-have:

• Hands-on experience building or fine-tuning recommendation models at scale (not just off-the-shelf collaborative filtering)

• Experience with sequential recommendation architectures, user behavior modeling, or large-scale ranking systems

• Strong intuition for data quality and evaluation design in recommendation contexts (offline metrics, A/B testing, business metric alignment)

• Experience with large-scale data pipelines for user interaction data and feature engineering

• Proficiency in Python and PyTorch with autonomous coding and debugging ability

Nice-to-have:

• Experience with transformer-based recommendation architectures (HSTU, SASRec, BERT4Rec, or similar)

• Experience delivering recommendation systems to external customers with measurable business outcomes

• Familiarity with serving recommendation models under latency and throughput constraints

What Success Looks Like (Year One)

• Independently owns and delivers enterprise recommendation system engagements with minimal oversight

• Is trusted by customers as the technical owner, demonstrating strong judgment on the tradeoffs between model quality, latency, and business impact

• Has built reusable applied workflows or tooling that accelerate future customer engagements

What We Offer

• Real ML work: You will build and adapt large-scale recommendation models for enterprise customers, working with frontier architectures like HSTU under real production constraints.

• Compensation: Competitive base salary with equity in a unicorn-stage company

• Health: We pay 100% of medical, dental, and vision premiums for employees and dependents

• Financial: 401(k) matching up to 4% of base pay

• Time Off: Unlimited PTO plus company-wide Refill Days throughout the year

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Location: 100% Remote

Job Type: Contract

Duration: 7 Months

Budget : 1.0 LPM

Working Time: 7 AM IST to 4 PM IST

Experience: 3- 6 years



RESPONSIBILITIES

• Actively participate in the design, implementation, and continuous improvement of end-to-

end data platform architecture using modern Azure cloud technologies including Azure Data

Factory, Azure Data Lake Storage, and Microsoft Fabric (Lakehouses and Warehouses).

• Build scalable, reliable ELT/ETL pipelines to ingest, process, and transform data from multiple

source systems including GCAS, GSS, Insurance, Savvy, and BAS systems.

• Implement and maintain automated data quality checks and pipeline testing to ensure

reliability and trust.

• Develop and maintain data lakehouse solutions implementing medallion architecture

patterns with bronze, silver, and gold layers for progressive data refinement.

• Collaborate with offshore data engineering partners to deliver data engineering initiatives,

providing technical guidance and ensuring quality standards.

• Assist the Business Intelligence team with reporting and analytics requirements, ensuring

their needs are supported through effective data solutions.

• Contribute to and adhere to established data governance and security practices, including

metadata management, data quality frameworks, and data cataloging, to promote trust and

reliability.

• Enable business functions with clean, structured data that supports compliance reporting,

customer insights, fraud detection, and product development.

• Provide detailed documentation, knowledge transfer, and training to internal teams to build

data literacy.


PRIMARY SKILLS

• Microsoft Fabric (Lakehouse, Warehouse, Dataflows).

• Azure Data Factory (ADF).

• Azure Data Lake Storage (ADLS Gen2).

• Python.

• SQL (Advanced queries, performance tuning, data transformation)

• ETL/ELT Pipeline Development

• Data Modeling & Schema Design

• Data Quality and Validation Frameworks

• Git Version Control

• CI/CD Fundamentals

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Responsabilidades do dia a dia:

• Liderar o design, desenvolvimento e implementação de modelos avançados de Machine Learning, incluindo redes neurais, modelos estatísticos e matemáticos para resolver problemas de negócio complexos.
• Explorar e aplicar ativamente as mais recentes inovações em Inteligência Artificial Generativa (GenAI), Large Language Models (LLMs) e Agentes para criar soluções de ponta.
• Atuar como referência técnica e mentor(a) para a equipe de Cientistas de Dados, promovendo o desenvolvimento profissional e a troca de conhecimento.
• Colaborar de perto com equipes multidisciplinares (Engenharia, Produto, Negócios) para identificar oportunidades, traduzir requisitos em soluções técnicas e garantir a entrega de valor.
• Conduzir análises exploratórias de dados complexas, identificando padrões, tendências e insights acionáveis que guiem a tomada de decisão estratégica.
• Monitorar e otimizar a performance dos modelos implementados em ambiente de produção, garantindo sua robustez e eficiência.
• Pesquisar e propor a adoção de novas tecnologias, ferramentas e metodologias em Ciência de Dados e IA.
• Definir e ter a capacidade de obter datasets necessários para análises e modelagens e ambientes exploratórios e produtivos de alta escala.

O que buscamos:

• Formação superior completa em Ciência da Computação, Física, Matemática, Estatística ou áreas correlatas.
• Experiência comprovada em construção e implementação de modelos de machine learning, incluindo redes neurais, modelos estatísticos e matemáticos.
• Conhecimento aprofundado e experiência prática com GenAI, LLMs e Agentes.
• Experiência em Engenharia de Dados, incluindo design de pipelines, ETL/ELT e otimização de bases de dados.
• Experiência na formação, desenvolvimento e liderança técnica de equipes de Ciência de Dados.
• Domínio de linguagens de programação como Python (com bibliotecas como Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) e SQL.
• Capacidade de resolver problemas complexos de forma analítica e criativa, com uma abordagem orientada a resultados.
• Excelentes habilidades de comunicação, liderança e interpessoais, com capacidade de influenciar e colaborar em diferentes níveis da organização.
• Proatividade, curiosidade e paixão por aprendizado contínuo.

Diferenciais:

• Experiência com ferramentas de Big Data (ex: Spark, Hadoop, Kafka).
• Sólido conhecimento em Engenharia de Dados, incluindo design de pipelines, ETL/ELT e otimização de bases de dados.
• Conhecimento em plataformas de nuvem (AWS, GCP, Azure) para desenvolvimento e deploy de soluções de IA.
• Portfólio de projetos relevantes em Ciência de Dados, especialmente com aplicações de GenAI e LLMs.
• Publicações ou contribuições para a comunidade de Ciência de Dados/IA.

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Build What's Next With Us

At SEAhub Asia, your career isn't just a job — it's a launchpad.

We move fast, think big, and build futures together.

What's waiting for you here?

Remote-first roles built for freedom and flexibility

Learning & Development That Sharpens Skills And Accelerates Careers

Competitive salary packages for high performers

Wellbeing perks that help you thrive inside and outside work

A team that supports, celebrates, and wins as one

and we're just getting started.

We're growing across Southeast Asia — and we're searching for sharp minds, big thinkers and curious hearts ready to help us build what's next. learners, and big thinkers who want to create what's next.

If you're ready to make a real impact and grow with a future-ready team, your next chapter starts here.

Job Summary

Support the Data Analytics team by assisting with data validation, report generation, and basic analysis to help ensure data accuracy and enable informed business decision-making.

Responsibilities:

• Reporting, Analysis & Insight Communication
• Prepare reports and perform data analysis to support data-driven decision-making
• Monitor key business performance metrics to identify trends, patterns, and anomalies
• Assist in building and maintaining dashboards and reports for performance tracking
• Communicate data insights to stakeholders in a clear, concise, and actionable way
  
• Data Quality & Validation
• Support the validation and upkeep of data accuracy across dashboards and data pipelines
  
• Cross-Team Collaboration
• Respond to data requests from cross-functional teams, including coordinating requirements and providing basic analytical support
  
• Process Improvement & Documentation
• Document data processes and workflows, and contribute to improving existing data practices and standards
• Explore and apply new tools and methods to enhance the efficiency and quality of data work
  
• Ad-Hoc Analytical Projects
• Assist with ad-hoc data tasks and analytical projects as needed
  
  
  

Requirements:

• 0–1 year of experience in data analysis or a related field.
• Foundational knowledge of SQL, Excel, and data visualization platforms such as Power BI or Tableau.
• Exposure to Python for data analysis is an added advantage.
• Highly detail-oriented with a strong focus on maintaining data quality and accuracy.
• Strong communication skills with the ability to present findings and insights clearly.
• Demonstrates a proactive mindset and willingness to learn new tools, technologies, and analytical techniques.
• Well-organized, with the ability to prioritize and manage multiple tasks effectively.
  
  
  

Don't miss out on this exciting opportunity! Apply now at www.seahubasia.com.

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About the Role

We're hiring a Senior ML Engineer to be the data team's owner of production ML and AI agent systems. You'll take models from prototype to production, build and maintain the low-latency ML API that powers our Next Best Action (NBA) engine, and partner with our HAL team to ship LLM agents that turn NBA recommendations into real conversations with credit union members and partners. This is a builder's role at a builder's moment: NBA is going live, the agent infrastructure is being shaped now, and you'll define how Clutch does production AI for years to come.

About the Team

The Data team today is five people: one data scientist, two data engineers, one data analyst, and one product manager. We're small, ambitious, and shipping fast — two ML models heading to production, an ML API being built, and two AI agents (one customer-facing, one partner-facing) in active development. You'll be the senior technical voice for ML and AI engineering inside the team, and the bridge to HAL, the platform team that builds Clutch's agent runtime. Expect tight feedback loops, real autonomy, and a team that values pragmatism over purity.

What You’ll Do

Within 3 months, you will:

• Take ownership of the ML API that serves NBA recommendations, partnering with the data engineer who's been building it, and harden it for low-latency production traffic

• Ship your first agent tool contract end-to-end: schema design, handler implementation, structured-error contract, unit tests, deployed via HAL's runtime

• Set up the eval foundation for our agents: golden transcripts, rubric-based judges, regression suites that run on every prompt or model change

• Build a working relationship with HAL and become the data team's go-to on agent infrastructure decisions

Within 6 months, you will:

• Be the primary owner (with data engineer support) of the ML API and the agent tool layer that wraps NBA and our ML models

• Have shipped at least one production-grade agent (customer-facing or partner-facing) with prompt versioning, evals, observability, and multi-tenant gating in place

• Define the data team's playbook for shipping a new ML model as an LLM-callable tool, end-to-end

• Mentor the data engineers on ML/AI patterns so they can confidently support and extend the systems you own

Within 9 months, you will:

• Operate as the technical lead within the data team for NBA production AI at Clutch — the person other teams come to when they want to understand how NBA ships ML and agents responsibly

• Have measurably improved agent cost and latency (target: 30%+ reduction on P95 latency or per-conversation cost on at least one agent)

• Be shaping the data team's roadmap for the next generation of ML and AI products, in partnership with the PM and data scientist

• Help us decide what to hire next as the team scales

What You’ll Bring

Required

• 7+ years of engineering experience, with a proven track record of building and shipping production ML systems — you've taken models from prototype to production and own what happens after deploy

• Strong Python — most of the work (ML training, evaluation, the ML API, data pipelines) is in Python, and you're comfortable in production codebases, not just notebooks. Some TypeScript is involved for tool contracts and integration with our agent runtime — you don't need to be an expert, comfort with a second language is enough

• Tool-design discipline for LLM consumption. Can take an ML model or data source and shape it into an LLM-callable tool with narrow input/output schemas, identity-required and scope-gated dispatch, and structured-error contracts (RATE_LIMITED, UPSTREAM_ERROR, NOT_FOUND) that the agent runtime converts to graceful tool-results instead of crashing

• Eval discipline for non-deterministic systems. You treat evals as the unit-test equivalent for agents: golden transcripts, rubric-based judges, regression suites that run on every prompt or model change. You understand the difference between offline metrics and online evals, and use both

• Prompt-shape literacy. You read a system prompt the way another engineer reads code: audience, register, compliance guardrails, template-var allow-list, allowed-tools section. You debug "why did the agent do that?" by reading the prompt and tool descriptions before reaching for model swaps. You've shipped at least one agent where the prompt was version-controlled and reviewed as code

• Tool implementation rigor. You build handlers behind tool contracts with identity fields read from request context (never from LLM-supplied args), output re-parsed through the tool's schema before return, structured-error throws on every failure path, and unit tests covering both happy path and each named error. You have a story about a tool you shipped, a bug production traffic surfaced, and how you hardened it

• Experience building and maintaining low-latency production APIs (FastAPI, BentoML, or equivalent), with opinions on serving, batching, and caching

• Comfortable in AWS (Lambda especially), Docker, and GitHub-based workflows

• You use AI tooling actively in your engineering workflow — not as a novelty, but as a default. You'll be expected to demonstrate this during the technical evaluation

Desired

• Production agent observability: reading audit rows, distributed traces, per-tool latency and error metrics

• Cost and latency tradeoff intuition in agent loops — has measurably reduced per-conversation cost or P95 latency on a live agent

• Familiarity with an agent runtime framework (Vercel AI SDK, LangChain, LlamaIndex, or equivalent)

• Multi-tenant agent gating experience

• Prior SaaS and/or FinTech experience

• Nice to have but not required: Databricks, PySpark, Terraform

Please note that this role may evolve as our business needs change, so we appreciate your flexibility and adaptability.

What’s In It For You?

• Remote Flexibility: Enjoy the freedom of remote work from anywhere, balancing life and career seamlessly.

• Unforgettable Off-Sites: Twice a year, bond with colleagues in exciting destinations, fostering teamwork and fresh ideas.

• Paid Time Off and National Holidays: Enjoy 20 PTO days yearly and the National Holidays for relaxation and rejuvenation.

• Stock Options: Joining us means having a stake in our success, so you'll receive stock options as part of your compensation package.

• Home Office Setup: Create your ideal workspace with a dedicated budget for home office essentials.

• Work Trip Budget: Grow personally and professionally with a budget for work-related trips and co-working.

About Us

Clutch is a revolutionary vertical SaaS company, proudly backed by Andreessen Horowitz (A16z), aimed at revolutionizing the way Credit Unions engage and change the lives of their members. As a champion of financial well-being, we address the urgent need for affordable lending solutions in an era where the average American grapples with over $155,000 in household debt.  Unlike traditional financial institutions, Clutch develops software to turn Credit Unions into FinTech lenders and leverage their balance sheets to responsibly lend to over 130M Americans. Our mission extends beyond mere financial transactions; we strive to fundamentally enhance the way credit unions interact with their members. By integrating cutting-edge technologies and user-centric designs, we help credit unions provide seamless digital experiences that are on par with leading tech companies. This approach not only preserves but revitalizes the longstanding tradition of community and member-focused service inherent to credit unions.

Please note: This position is offered on a contractor basis. Applicants must have the necessary documentation and authorization to work in the country where the job is located. Clutch cannot provide sponsorship or assist with obtaining work permits for this role.

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About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.

Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

Type: Remote, Full-time

Important: Immigration Sponsorship Policy

This position is not eligible for employment visa sponsorship or transfer sponsorship now or in the future.

• Direct Company Sponsorship: Such as H-1B, J-1, or TN visas
• Employer of Record: Listing Fusemachines as the immigration employer on any government documentation
• Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT)
  
  

About the role:

We are seeking a talented and experienced Data Analyst responsible for gathering, interpreting, analyzing, and visualizing large and complex datasets to provide insights and support data-driven decision-making (BI, visualization, and Advanced Analytics).

Qualification / Skill Set Requirement:

• Data Collection and modeling: Gathering data from various sources such as databases, spreadsheets, APIs, and other relevant sources to support business requirements
• Data Cleaning and Preprocessing: Reviewing and organizing data to ensure accuracy, consistency, and completeness. This may involve handling missing values, removing outliers, and transforming data into a suitable format for analysis
• Data Analysis: Applying statistical techniques and analytical methods to examine data and identify patterns, trends, relationships and insights that inform business decisions. This will involve using tools like SQL, Python or specialized data analysis software
• Data Visualization : Design, build and maintain visual representations of data through charts, graphs, and dashboards to communicate insights effectively to stakeholders. Data visualization tools like SnowSight, and Power BI
• Reporting: Summarizing and presenting findings from data analysis in a clear and concise manner. This includes creating reports, slide decks, or presentations to communicate insights and recommendations to non-technical stakeholders
• Data Governance, including Quality Assurance: Ensuring the accuracy, consistency, and integrity of data by performing quality checks and validation procedures. This involves identifying and resolving data discrepancies or errors
• Data Mining: Identifying patterns, trends, and correlations in large datasets to extract meaningful information and support business objectives. This may involve using techniques like clustering, classification, regression, or association analysis
• Statistical Analysis: Applying statistical methods and hypothesis testing to draw meaningful conclusions from data and make data-driven recommendations
• Identifying and implementing best practices for data visualization, reporting and analysis
• Collaborating with Teams: Working closely with cross-functional teams, such as business analysts, data engineers, and decision-makers, to understand their requirements, provide analytical support, identify key metrics and contribute to data-driven initiatives to solve business challenges
• Continuous Learning: Staying updated with industry trends, new analytical techniques, and tools to enhance data analysis capabilities and improve efficiency
  
  

Responsibilities:

• Bachelor's or master's degree in a quantitative field such as statistics, mathematics, or computer science
• At least 8 years of experience in data analytics, with a focus on business intelligence and data visualization
• 5+ years of real-world data engineering development experience in Snowflake
• Proficient in the application of DBT
• Proficient in Snowflake services such as SnowSight, Snowpipe, stages, stored procedures, views, materialized views, tasks and streams
• Strong SQL skills and experience working with complex data sets and Enterprise Data Warehouse
• Experience with data modeling and schema design
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights
• Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams, are essential to convey complex technical concepts and insights to non-technical stakeholders effectively
• Demonstrated leadership experience with the ability to mentor and develop junior analysts
• Experience with data governance, data quality, and data integrity efforts
• Attention to Detail: Being meticulous and paying attention to detail is critical in data analysis. Small errors or inaccuracies can lead to misleading results, so data analysts should have a keen eye for detail and double-check their work
• Strong project management skills with the ability to manage multiple projects and priorities simultaneously
• for data integration, storage, processing, and manipulation
  
  

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local.

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