Location: Belgium (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches.
Note this is a remote, freelance opportunity
WHAT YOU’LL DELIVER
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in your native language
- Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus).
- Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
QUALIFICATIONS
- Experience: 1+ years of industry experience in software engineering.
- Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities.
- Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency.
- Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing.
- Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents.
- Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including:
- Encoding/decoding robustness and Unicode normalization.
- Locale-dependent conventions (collation, casing, non-Gregorian dates).
- Text I/O, toolchain interoperability, and safe string operations.
- (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts.
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Next, complete a GenAI assessment to evaluate your skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Canada (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches.
Note this is a remote, freelance opportunity
WHAT YOU’LL DELIVER
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in your native language
- Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus).
- Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
QUALIFICATIONS
- Experience: 1+ years of industry experience in software engineering.
- Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities.
- Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency.
- Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing.
- Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents.
- Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including:
- Encoding/decoding robustness and Unicode normalization.
- Locale-dependent conventions (collation, casing, non-Gregorian dates).
- Text I/O, toolchain interoperability, and safe string operations.
- (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts.
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Next, complete a GenAI assessment to evaluate your skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: France (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches.
Note this is a remote, freelance opportunity
WHAT YOU’LL DELIVER
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in your native language
- Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus).
- Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
QUALIFICATIONS
- Experience: 1+ years of industry experience in software engineering.
- Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities.
- Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency.
- Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing.
- Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents.
- Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including:
- Encoding/decoding robustness and Unicode normalization.
- Locale-dependent conventions (collation, casing, non-Gregorian dates).
- Text I/O, toolchain interoperability, and safe string operations.
- (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts.
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Next, complete a GenAI assessment to evaluate your skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Indonesia (Remote)
Workplace: Remote
ABOUT THE OPPORTUNITY
We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches.
Note this is a remote, freelance opportunity
WHAT YOU’LL DELIVER
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in your native language
- Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus).
- Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
QUALIFICATIONS
- Experience: 1+ years of industry experience in software engineering.
- Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities.
- Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency.
- Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing.
- Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents.
- Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including:
- Encoding/decoding robustness and Unicode normalization.
- Locale-dependent conventions (collation, casing, non-Gregorian dates).
- Text I/O, toolchain interoperability, and safe string operations.
- (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts.
WHY COLLABORATE WITH LILT?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows.
WHAT TO CONSIDER BEFORE APPLYING
- Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed.
- Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit.
- Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging.
HOW TO JOIN OUR EXPERT COMMUNITY
1 - Submit your application including an updated copy of your CV in English
2 - Next, complete a GenAI assessment to evaluate your skills
3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
AI is changing how the world communicates — and LILT is leading that transformation.
LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.
Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Location: Anywhere in France, Belgium, Spain
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐ THE ENGINEERING TEAM ⭐
In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves!
Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions.
We move fast, with a lot of ownership, and are proud to tackle big problems!
Our process is very simple: those who make product decisions are the same ones who build them.
We are also the stewards of our members' most sensitive data, and building privacy in by design is core engineering work for us, not an afterthought.
Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path.
🛠️ THE STACK
Python/Flask, Typescript, React on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it.
🤖 THE TECH FOUNDATIONS AREA
🎯 Mission: Tech Foundations enables product crews and creates the environment to thrive—combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless.
🔭 Scope:
1. Infrastructure enablement for product crews (e.g. hosting improvements https://www.qovery.com/case-study/alan-case-study/, CI/CD https://medium.com/alan/moving-our-ci-cd-to-github-actions-40df3f7e4733, scalability, multi-cloud architecture)
2. Security and compliance facilitation (e.g. authentication, encryption, threat protection)
3. Developer productivity enhancements (e.g. local environment setup https://medium.com/alan/our-journey-from-react-native-to-expo-for-mobile-app-development-at-alan-%EF%B8%8F-3b1569e8ab7c, monorepo tooling https://medium.com/alan/building-debug-tooling-for-engineers-and-support-teams-alike-34cab315b9cc, observability, tech stack evolution, accessibility audits)
4. AI-assisted engineering enablement (e.g. agentic development, code assistants, MCP servers)
👀 Focus for 2026:
In 2026, we will grow the team significantly to further increase our impact. We want to expand our cloud footprint with a revisited multi-cloud strategy as we expand internationally, while we’re elevating the quality bar, from infrastructure to code foundations (backend/frontend/mobile). We are also evolving our AI-augmented development, by putting AI code assistants as a first-class citizen for everyone, including non-engineers. Ultimately we have massive ambitions around our Security stack and posture with enhanced tools and processes to protect our developers and users.
⭐ IS IT YOU WE’RE LOOKING FOR?
EXPERIENCE WE VALUE
- 3+ years in full-stack software engineering roles
- Experience building internal tools, frameworks, CLIs, or libraries that improve developer workflows
- Experience fixing scalability issues and/or bottleneck in the software development lifecycle, from writing code to deploying to production
MINDSET WE VALUE
- You think in terms of developer experience: engineers are your customers
- You are collaborative, humble, and motivated by enabling others
- You simplify complexity with elegant abstractions and maintainable code
- You're excited about AI and automation in engineering workflows
- You are fluent in English (no French required)
- But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus.
🌍 HOW WE WORK
- Location: You must be legally eligible to work in France, Belgium, or Spain.
- Remote work: We offer remote work flexibility, but we value in-person collaboration
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
🔄 A quick note about the process
Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21.
Location: United States- Normal, Illinois
Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better.
Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor.
Principal Duties/Responsibilities:
· Follows verbal instructions to ascertain materials or containers to be moved; moves material in warehouse and other areas as needed; loads and unloads materials onto or from pallets, trays, racks, and shelves by hand; performs basic warehouse work and mail handling; packages and loads materials; counts, weighs, and records number of units of materials moved or handled.
· Records material moves in computer system; Performs shipping data entry into computer system; performs basic tracking and reporting related to job duties.
· Attaches identifying tags or labels to materials or marks information on cases, bales, or other containers; installs strapping, bracing, or padding to prevent shifting or damage in transit.
· Unpackages parts for receiving and performs login/receiving data entry in the system.
· Keeps area clean and organized.
· Operates industrial truck or electric hoist to assist in loading or moving materials and products.
· Manages and organizes storage areas as needed.
· Continually improves processes; quantitatively monitors processes. Completes required quality core classes and uses skills and techniques presented. Uses The Core Values in work environment. Must adhere to our Quality System. Adheres to company/customer safety procedures.
Knowledge, Skills, Abilities (KSAs), & Competencies:
Essential KSAs:
· High school diploma or general education degree (GED); and one year related experience and/or training; or equivalent combination of education and experience.
· Ability to: read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals; write routine reports and correspondence; apply common sense understanding to carry out instructions furnished in written, oral, or diagram form; deal with problems involving several concrete variables in standardized situations.
Desirable KSAs:
· Team player
· Organized, self-motivated and able to prioritize
· Outstanding people and communication skills for interaction with other team members, customers, and management
· Must be capable of doing accurate work and being organized; must be able to operate power tools; must be able to legally operate a motor vehicle and have a good driving record; must be qualified to operate a lift truck.
Competencies:
· Communications
· Customer Focus
· Safety
Physical Demands and Working Conditions:
While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors.
ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more.
Pay Range
$17.82
—
$22.78 USD
ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy
here.
ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí
here.
Location: United States- North Kansas City, Missouri
Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better.
Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor.
Principal Duties/Responsibilities:
· Performs entry to mid-level break-fix & preventative maintenance. This includes but not limited to: adjusting functional parts of devices and control instruments to sustain and improve operations; repairing or replacing defective parts; reconditioning or repairing machine tools.
· Identifies needed parts, supplies, and repair items.
· Provides support and back up for other members of department as needed by leadership.
· Is aware of Maintenance Industry Standards.
· Assures compliance with 5S and housekeeping standards.
· Participates in CI activities - processes, results and cost savings.
· May be required to setup and operate simple machining operations including but not limited to: lathe, drill press, grinder, and other metalworking tools to make and repair parts. May perform basic welding tasks.
· Updates records and reviews CMMS history.
· Performs basic troubleshooting of control systems circuitry.
· Completes technical self-study programs for career development.
· Follows all safety related policies, rules, regulations, technical instructions and guidelines. Situational awareness and identify unsafe behaviors and conditions.
Knowledge, Skills, Abilities, & Behaviors Required:
· High School Graduate or equivalent (GED).
· Associates degree with a Technical focus or 18 months of related experience in general industry or successful completion of the ATS Technician Progression Program.
· Understanding of basic electrical and mechanical systems. Can perform repairs.
· Must be able to use basic hand tools.
Physical Demands and Working Conditions:
While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors.
ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more.
Pay Range
$24.83
—
$31.76 USD
ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy
here.
ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí
here.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
About the Role
We’re looking for a new-generation AI builder — someone between a software engineer, prompt engineer, automation hacker, and product innovator.
This is not a traditional SWE role.
You’ll work on AI-native products, internal agents, automations, and experimental workflows powered by the latest frontier models, open-source tooling, MCP ecosystems, and multimodal systems.
You should be the kind of person who constantly explores what’s happening in AI:
- new agent frameworks
- open-source tooling
- AI video & creative workflows
- MCP servers
- coding agents
- automation stacks
- multimodal systems
- new product patterns emerging every week
You don’t just follow trends — you prototype them.
WHO WE’RE LOOKING FOR
You might be a fit if you:
- Are a hustler who ships fast and experiments constantly
- Have strong intuition for building new AI-native products and workflows
- Stay deeply plugged into the AI ecosystem and emerging tooling
- Understand how modern AI agents actually work under the hood
- Can automate things quickly and creatively
- Think in systems and workflows, not just prompts
- Have strong product taste and curiosity
- Thrive in fast-moving, ambiguous environments
- Learn new tools obsessively fast
MUST-HAVE SKILLS
- Experience with JavaScript or Python (ideally both)
- Comfortable building prototypes, automations, and internal tools
- Understanding of:
- LLMs
- tokens/context windows
- APIs & CLI tooling
- MCP ecosystems
- agent frameworks
- tool use & orchestration
- RAG / retrieval concepts
- Experience using modern AI coding workflows and AI-native tooling
- Ability to quickly turn ideas into working demos or systems
BIG PLUS
- Experience with ML or training/inference infrastructure
- Experience with multimodal or video-generation tooling
- Familiarity with open-source AI ecosystems
- Experience building agentic systems or autonomous workflows
- Strong vibe-coding energy
WHAT YOU’LL WORK ON
- Build AI-native internal and external products
- Prototype new agentic workflows and automation systems
- Explore frontier AI tooling and identify new product opportunities
- Experiment with multimodal generation systems
- Build automations across engineering, creative, and operational workflows
- Work closely with product, infra, and research teams
- Help the company stay ahead of where the AI market is going
THE DEAL
- Top-of-market compensation in USD.
- Small team, high autonomy, and outsized impact.
- On-site role in our Almaty office (we will relocate you from anywhere).
Location: London, United Kingdom
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production.
Vertical search is where we combine public sources with premium vertical data and shape the result into a product for a specific use case. This role owns that layer end to end. You decide which industries and use cases we productize. With the data team, you find and evaluate the public and premium data providers behind each one. You shape the product surface that sits on top.
You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue.
The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another.
In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next.
This is a hands-on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go-to-market.
Your responsibilities will include:
Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it.
Shape the product surface on top of the data, so a customer gets something built for their job.
Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in.
Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build.
Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it.
Work with customer success to learn what customers ask us for and what makes them leave.
Partner with the search owner on how results should be ranked and shaped for each use case.
We expect you to have:
5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products.
Experience building products for a specific industry or use case, combined with enough technical depth to work directly on the data underneath: where it comes from, how good it is, and what it takes to make it usable.
A track record of real customer discovery: you have gone deep on how a particular kind of team works, and shipped something because of what you found.
Experience in API-first or developer-platform businesses.
Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows.
A technical background, through a degree in computer science or engineering or equivalent hands-on experience, with the ability to engage deeply with technical architecture and tradeoffs.
The ability to influence and align cross-functional stakeholders without formal authority.
It will be an added bonus if you have:
Domain experience in market intelligence, news, financial research, or another data-heavy industry.
Background at a data provider, enrichment vendor, market intelligence platform, or vertical search company, or experience building vertical data products in-house.
Experience evaluating and working with external data providers, including judging quality and negotiating what you actually need.
Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Amsterdam, Netherlands
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production.
Vertical search is where we combine public sources with premium vertical data and shape the result into a product for a specific use case. This role owns that layer end to end. You decide which industries and use cases we productize. With the data team, you find and evaluate the public and premium data providers behind each one. You shape the product surface that sits on top.
You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue.
The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another.
In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next.
This is a hands-on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go-to-market.
Your responsibilities will include:
Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it.
Shape the product surface on top of the data, so a customer gets something built for their job.
Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in.
Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build.
Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it.
Work with customer success to learn what customers ask us for and what makes them leave.
Partner with the search owner on how results should be ranked and shaped for each use case.
We expect you to have:
5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products.
Experience building products for a specific industry or use case, combined with enough technical depth to work directly on the data underneath: where it comes from, how good it is, and what it takes to make it usable.
A track record of real customer discovery: you have gone deep on how a particular kind of team works, and shipped something because of what you found.
Experience in API-first or developer-platform businesses.
Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows.
A technical background, through a degree in computer science or engineering or equivalent hands-on experience, with the ability to engage deeply with technical architecture and tradeoffs.
The ability to influence and align cross-functional stakeholders without formal authority.
It will be an added bonus if you have:
Domain experience in market intelligence, news, financial research, or another data-heavy industry.
Background at a data provider, enrichment vendor, market intelligence platform, or vertical search company, or experience building vertical data products in-house.
Experience evaluating and working with external data providers, including judging quality and negotiating what you actually need.
Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production.
Vertical search is where we combine public sources with premium vertical data and shape the result into a product for a specific use case. This role owns that layer end to end. You decide which industries and use cases we productize. With the data team, you find and evaluate the public and premium data providers behind each one. You shape the product surface that sits on top.
You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue.
The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another.
In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next.
This is a hands-on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go-to-market.
Your responsibilities will include:
Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it.
Shape the product surface on top of the data, so a customer gets something built for their job.
Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in.
Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build.
Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it.
Work with customer success to learn what customers ask us for and what makes them leave.
Partner with the search owner on how results should be ranked and shaped for each use case.
We expect you to have:
5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products.
Experience building products for a specific industry or use case, combined with enough technical depth to work directly on the data underneath: where it comes from, how good it is, and what it takes to make it usable.
A track record of real customer discovery: you have gone deep on how a particular kind of team works, and shipped something because of what you found.
Experience in API-first or developer-platform businesses.
Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows.
A technical background, through a degree in computer science or engineering or equivalent hands-on experience, with the ability to engage deeply with technical architecture and tradeoffs.
The ability to influence and align cross-functional stakeholders without formal authority.
It will be an added bonus if you have:
Domain experience in market intelligence, news, financial research, or another data-heavy industry.
Background at a data provider, enrichment vendor, market intelligence platform, or vertical search company, or experience building vertical data products in-house.
Experience evaluating and working with external data providers, including judging quality and negotiating what you actually need.
Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Hong Kong
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location: Hong Kong
Type: Full-time
The Role
As Nex’s Senior Electronic Engineer, you will work at the heart of Playground hardware and smart accessories, helping turn ambitious product ideas into reliable products at scale. You will develop and validate PCBAs, turn product intent into precise specifications, lead JDM execution, support products through production, and solve manufacturing and field problems at their root.
You will work hands-on from development and EVT through industrialization, production, and sustaining. Our partners bring development capacity and manufacturing expertise; you will ensure Nex sets the technical direction, makes the critical decisions, and holds every product to a high engineering standard.
The knowledge you gain from today’s products will also shape what comes next. By strengthening our tools, lab practices, standards, and technical judgment, you will help Nex build better consoles, push the boundaries of active play, and bring exceptional experiences to families everywhere.
The Mindset
You are curious, hands-on, and evidence-led. You turn ambiguity into clear requirements, promising ideas into working hardware, and complex failures into verified root causes. You pair bold product ambition with engineering discipline, challenge weak assumptions, and act on first principles and measured results. You build today’s product while making Nex stronger for the next one.
What You’ll Do
1. Build and Sustain the Hardware
Develop, bring up, and validate functional PCBAs for current consoles and accessories through EVT, production, and sustaining.
Support design changes, component transitions, yield improvement, and field issues throughout the product lifecycle.
2. Set the Engineering Standard
Turn product intent into precise, testable requirements, interfaces, design margins, and acceptance criteria. Codify as design guidelines.
Hold every detail to an exacting standard for performance, reliability, safety, and compliance across global markets.
3. Lead JDM Execution
Set technical direction and guide partners through design, validation, industrialization, production, and sustaining.
Challenge plans, designs, tests, and conclusions; validate key evidence and keep technical authority inside Nex.
4. Make Quality Scale
Build Nex’s failure-analysis capability and establish the true root cause of manufacturing and field issues.
Prescribe and verify corrective actions that improve yield, prevent recurrence, and raise quality as volume grows.
5. Shape What’s Next
Evaluate technologies, platforms, and components that can unlock better consoles and active-play experiences.
Turn lessons, benchmarks, and working prototypes into stronger decisions for future programs.
Success Looks Like
Hardware moves confidently from development through production and sustaining.
Products deliver exceptional performance, reliability, safety, and compliance as volume and global reach grow.
JDM partners execute efficiently while Nex leads critical decisions and validates the evidence.
Manufacturing and field issues become verified fixes and lasting improvements.
Lessons from today’s products sharpen future technology and product choices.
Every program leaves behind better tools, knowledge, standards, and engineering capability.
Must Have
Degree in Electrical or Electronic Engineering, or equivalent practical experience.
7+ years developing electronic systems for connected consumer products, including at least one product through mass production and sustaining.
Strong digital, analog, power, high-speed interface, SI/PI, PCB, and system-architecture fundamentals.
Demonstrated ability to evaluate technologies and components and turn findings into product recommendations.
Hands-on experience building prototypes and functional PCBAs, bringing up boards, using lab equipment, and debugging cross-layer problems.
Experience producing detailed engineering requirements and verification criteria.
Experience leading technical work with JDM/ODM partners and critically evaluating designs, plans, circuit and functional testing, test data, and reports.
Strong manufacturing and field failure-analysis skills, including verified root cause and corrective action.
Clear written and spoken English; working Mandarin for supplier and factory collaboration.
Nice to Have
Experience with SoCs, cameras, sensors, audio, HDMI/USB, Wi-Fi/Bluetooth, or smart accessories.
Familiarity with Android/AOSP or embedded Linux and hardware/software co-debugging.
Experience with EMC, safety, reliability, regulatory certification, and high-volume manufacturing.
Python or similar scripting experience for lab automation and data analysis.
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: South Island
Workplace: Remote
ABOUT HALTER
At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.
We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB.
To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
ABOUT THE ROLE.
We’re growing our team in the South Island, to meet market demand! Halter is looking for a hungry and driven sales leader to work with our sales team and grow Halter in the Upper South Island dairy team. We're looking for a go-getter who is out in the field, meeting farmers, championing Halter and converting them into customers. A ‘never give up attitude’ is crucial for this role; you will be a significant contributor to the growth and success of Halter in the Upper SI.
You’ll be responsible for setting and managing quotas and commissions for the team, sales capability management and mentoring for our junior sales staff. You’ll use your strong sales background to drive end-to-end sales, from cold calling and on-farm meetings to deeply understanding our customers’ farm systems. You'll detail Halter’s value proposition, progress the sale, and ultimately close the deal. Make your mark with Halter and help us push the boundaries of farming, connecting animals and humans like never before.
Location - This role is to be based anywhere in the Upper South Island region ideally in Christchurch. Frequent travel is required as part of the position.
WHAT YOUR DAY COULD LOOK LIKE.
- Setting and managing quotas, commissions and other sales management tasks for the sales team.
- Coaching, mentoring and developing our junior sales staff to help drive their professional growth to reach targets.
- Sourcing new leads and opportunities through proactive outreach, referrals/introductions, industry events and other channels, as well as fielding and responding to inbound inquiries.
- Meet high growth sales targets by managing pipeline through to close, including screening, qualifying, executing on-farm demonstrations and successfully negotiating contracts with customers.
- Collaborating with Customer Success to ensure successful post-sales handoff, implementations, customer satisfaction and account renewal.
- Providing support, insight and communication to help build and foster trusting and enduring relationships with customers as they wait for deployment.
- Leveraging opportunities and participating in relevant industry/Halter events and demonstrations.
- Building and leveraging industry relationships to establish and maintain Halter's brand.
- Focusing on the customer and their needs, providing feedback to help drive the product roadmap.
- Working with the team to optimise and evolve the sales process to become faster, more efficient and more predictable as the company scales
WHO ARE WE LOOKING FOR.
- A complete end-to-end sales skill set with at least five years of experience.
- Proven track records and examples of successfully sourcing new prospects, securing meetings with new leads and creating new sales opportunities.
- Someone highly experienced in value-based sales with a proven history of closing deals and high-volume sales results.
- Well-prepared with solid communication skills to present Halter's value proposition.
- Experience in dairy farming or within the agricultural sector is a highly preferred.
- A person who is results-driven, highly motivated with exceptional time management skills.
- Adaptability in a high-stakes sales environment and the ability to think on your feet.
- Sales experience in the technology-based industry is preferred
- A university degree or equivalent would be excellent but not a must.
JOIN OUR TEAM
Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit!
If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch!
Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
WHY OUR TEAM LOVES WORKING AT HALTER:
- Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations.
- Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems.
- You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund.
- This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"
Location: Makati City, Philippines; Philippines
Top Reasons To Join Us
International Environment
100% Remote
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You'll Do
Event Coordination
Support the planning and execution of CoverGo-hosted events, partner webinars, and major regional industry conferences
Conduct research on event opportunities across regions to identify speaking, sponsorship, and networking prospects
Coordinate event logistics, branding, speaker prep, promotions, and post-event content
Work closely with regional sales and product teams to ensure alignment and smooth delivery across all event touchpoints
Content Creation & Coordination
Create engaging organic social media content, especially for LinkedIn, focused on products, thought leadership, and company milestones
Collaborate with internal experts to facilitate thought leadership content—interviews, quotes, and article support
Work closely with a marketing designer to bring content to life visually
Prepare or assist in creating video scripts, storyboards, and screen recordings to support designer-led editing
Draft and publish event-related materials, including invites, promo posts, and recaps
Ongoing Marketing Support
Help prepare and update sales and product marketing materials like one-pagers, pitch decks, and visuals
Support PR efforts, including drafting press-ready quotes, story angles, and background notes
Maintain brand consistency across all content and marketing assets
Campaign & Competitor Insights
Assist in analyzing campaign performance, with a focus on LinkedIn and other digital channels
Conduct ongoing competitor research to track trends, messaging, and positioning
Help monitor content performance and suggest improvements based on engagement and data
What We're Looking For
1–2 years of experience in marketing, communications, or a related role (internship experience welcome!)
Excellent written and verbal communication skills in English
Strong attention to detail, organizational skills, and a proactive attitude
Familiarity with tools like Canva, HubSpot, Google Workspace, and LinkedIn
Comfortable working with designers and supporting light content creation, including video
A collaborative mindset and willingness to learn in a fast-paced, high-growth environment.
Must be based in the Philippines
Why You'll Love Working Here
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT ORGANIC GROWTH MEANS AT HIGGSFIELD
Organic growth here is the set of channels that convert without media spend: search, AI assistants, and the content ecosystem they pull from. The channel has already brought in $2M in under a month, and conversion keeps climbing.
So this isn't an experiment in the dark. It's a proven channel that nobody has figured out how to scale yet, because the rules are still being written.
Millions of people now ask ChatGPT, Claude, Gemini and Perplexity which tool to use instead of typing it into Google. What those answers say about Higgsfield decides who discovers us and whether they choose us.
An Organic Growth Manager here is a high-agency operator who:
- treats SEO, AEO and GEO as one channel, not three disciplines;
- turns observations into hypotheses, tests them, and scales what moves the number;
- builds systems and automations instead of doing the same research by hand every week;
- moves work through adjacent teams, not just through their own hands;
- owns the line from visibility to sign-ups, not just rankings.
WHAT YOU WILL OWN
Visibility across search and AI assistants
- Understand how Higgsfield and competitors appear across Google and across LLMs — and why;
- Map how people actually ask for products in our category, and identify the queries worth winning;
- Find the gaps and the weak spots, including results that currently work against us.
The source ecosystem
- Understand which sites, communities, creators and formats different engines trust and retrieve;
- Shape what information exists about Higgsfield online and how our category gets described;
- Work with content, product and external partners to turn that into things that actually get published.
Measurement and experimentation
- Connect visibility, citations, traffic, sign-ups and revenue — the channel is judged on conversion, not vanity metrics;
- Build lightweight systems (Sheets, APIs, scripts, automation tools) to cut manual work;
- Continuously test new sources, formats and tools as the engines evolve.
WHO WE'RE LOOKING FOR
We don't require experience in AEO or GEO — almost nobody has it. We care about how you solve unfamiliar problems, and about what you've already delivered somewhere else.
Must-have
- A measurable result you can walk us through. Which metric you moved, by how much, and what part of it was yours;
- You turn data into decisions — and can explain why that decision and not another
- Technically curious: you figure out new tools, systems and data on your own;
- Has built or automated something before, rather than doing the same thing by hand every week;
- Can move work through adjacent teams and external sites, strong cross-functional and partner skills
- Fluent English, and comfortable working with content when needed;
- High ownership: you don't wait for a task list, you understand the goal and figure out how to get there;
Good to have
- Experience in SEO, growth, analytics, content, engineering or automation;
- Familiarity with LLM retrieval, RAG, or technical SEO;
- Your own project, product or business — anything you built without a brief;
- Strong understanding of the GenAI ecosystem.
WHAT THIS ROLE IS NOT
- It's not a channel with an existing playbook to execute;
- It's not a role where someone hands you a task list;
- It's not a fit if you prefer strategy over execution, or want predictable 9-to-5 workdays.
THE DEAL
- Competitive salary in USD, reviewed as you grow;
- On-site role in Almaty, Kazakhstan;
- Access to Higgsfield products and the AI tools we use internally;
- Breakfast, lunch and good coffee on us;
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
In 365 days we shipped 305 releases — roughly five years of work at most companies. New models, features and workflows land every week, and each one has to be explained to millions of users in a way that makes them understand it, want to try it, and remember it.
WHAT YOU WILL WORK ON
- Writing about releases, features and updates for our blog, guides and newsletters;
- Translating product context into language users actually understand;
- Working cross-functionally — inside CX, and with the product and marketing teams;
- Shaping how Higgsfield sounds: the words we use about ourselves, how we're read, how we're remembered.
YOUR MUST HAVES
- English C1+ — the language you think in, not the one you translate into;
- Real craft with text in English and Russian: you write from scratch, edit for different audiences, and feel rhythm. You can write simply and you can write densely. You understand structure and know how words move people;
- A nitpicker, in the best sense: you see a weak sentence and can't leave it. You notice where a paragraph sags, where an analogy doesn't hold, where cutting three words makes it stronger;
- A-player mindset: ownership, speed, taste, and genuine interest in AI;
- Comfort with the pace — releases ship weekly and the writing has to keep up.
NICE TO HAVE
- Experience writing for a tech, SaaS or AI product;
- Background in product documentation, developer content or technical writing;
- Familiarity with the GenAI landscape and the tools creators actually use;
- Experience working alongside product teams rather than downstream from them.
THE DEAL
- Competitive salary in USD, reviewed as you grow;
- On-site role in our Almaty office;
- Access to Higgsfield products and the AI tools we use internally;
- Breakfast, lunch and good coffee on us;
- Full-time position with high ownership and growth potential.
Location: London, United Kingdom
Workplace: none
About InvestEngine
We’re a ~200-person, AI-first fintech. We move fast, we expect people to own things end to end, and we don’t have a lot of specialist support infrastructure to hide behind — if you spot a gap, you’re expected to close it, not escalate it and wait.
About the role
We’re hiring our
first dedicated Analytics Engineer
at InvestEngine. This is a foundational hire: you’ll sit at the intersection of data engineering, analytics engineering, and business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on.
You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster, and how we structure our data so that AI tooling can be trusted to answer questions about it.
We’re actively modernising our data stack, and we want the person in this role to shape it.
Some of it is in place, some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them.
Who thrives here
We’ve pitched this at
mid to senior level
, but the honest position is that the level matters less than the appetite. The ultimate test is
hunger, and the desire to shape this space and have real impact
. If you’re technically strong but hungrier than your years of experience suggest, apply anyway — we’d rather have someone who wants to own this than someone who has simply done it before somewhere bigger.
Beyond that, this role suits someone who:
Operates well with ambiguity and limited structure.
You’ll be the first analytics engineer here — no existing playbook, no dedicated data engineering team to lean on, no established BI function to slot into. You’ll be building a lot of it as you go.
Wants a small, fast company on purpose
— not just escaping bureaucracy elsewhere, but genuinely drawn to the trade-off: more ownership and visibility, less process and hand-holding.
Lives in the tools, not in email chains.
You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs.
Can point to things they’ve actually built and shipped
, not just designs or concepts they contributed to.
Already uses AI to do the job better
— Claude, Copilot, or similar — and is curious about where it can go further.
Learns fast.
We care more about how quickly you close a knowledge gap than how complete your CV looks today.
Works well directly with Product, Marketing, Operations, and Engineering
, not just with other analysts — this role sits right at that boundary.
Our values
Everyone at InvestEngine is expected to live these, and this role will be assessed against all five:
Act like an owner
— you take responsibility for outcomes, not just tasks
Keep improving. Stay curious.
— you push your own standards and the team’s, and you’re genuinely curious about better ways to work
Achieve more together
— you make the people around you (business stakeholders included) more effective, not just yourself
Speak up. Share openly.
— you flag risks, disagreements, and better ideas rather than sitting on them
Put customers first. Create real value.
— you build things because they solve a real problem, not because they’re interesting to build
What you’ll do
Analytics engineering & the semantic layer
Design, build, and maintain
dbt Core
models that transform raw data into clean, well-tested, well-documented datasets
Own and evolve our semantic layer — consistent metric definitions, business logic, and naming that the whole company can trust and query against
Establish and enforce data modelling standards, testing practices, and documentation as the function scales
Evaluate and help roll out modern BI tooling — experience with
Lightdash, Omni, Looker, or Metabase
all translates well — to make metrics genuinely self-serve for non-technical stakeholders
Building the AI context layer
Structure our models, metric definitions, documentation, and lineage so they’re
machine-readable, not just human-readable
— because our semantic layer is what AI tooling reasons over
Make AI-driven analytics reliable: if two people (or two agents) ask the same business question, they should get the same answer, because the definition lives in one governed place
Treat naming, documentation, and metric definitions as first-class engineering deliverables rather than afterthoughts, since they directly determine how trustworthy our AI-enabled BI is
Use
Claude
to accelerate development — model scaffolding, code review, documentation, QA, and pipeline debugging — and
Notion AI
to keep documentation and runbooks current and genuinely useful
Bring a point of view on where AI can responsibly speed up analytics engineering, and help the wider team adopt it well
Data engineering & the platform
Build and maintain ingestion and transformation pipelines across our stack. We use a modern data stack, such as AWS, Redshift, and Airflow
Write production-quality Python for extraction, transformation, and automation tasks that fall outside dbt’s remit
Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it
Warehouse cost & performance
Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort and distribution keys, and design incremental models without being asked
Spot and act on opportunities to reduce complexity and cost across our models and pipelines, rather than letting spend and technical debt accumulate quietly
Make deliberate trade-offs between freshness, cost, and complexity — and explain those trade-offs to the business in terms they care about
Data quality & observability
Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them to software
Build and own data quality, freshness, and pipeline monitoring so problems are caught by us before they’re caught by a stakeholder looking at a dashboard
Set the standard for what “trustworthy data” means here, and hold the line on it as the volume of models and requests grows
Upstream influence
Work with our engineering teams to make sure application and event design accommodates reporting and analytics requirements
before
data reaches the warehouse — good analytics starts at the source, not in the transformation layer
Influence payload and schema design for new services and product features, so we’re not permanently reverse-engineering business meaning out of operational tables
Support analysts and business users with automation, tooling, and data engineering expertise, and provide training and guidance on how to use our data well
Business partnership
Work directly with stakeholders to understand their problems, not just their requested outputs — translate ambiguous business questions into pipeline and modelling requirements
Act as a trusted advisor on what’s possible with our data, and push back constructively when a request doesn’t solve the underlying problem
Support financial, operational, and regulatory reporting needs appropriate to a regulated investment platform
Governance
Apply our data classification and access model when onboarding sources: identify PII (including in free-text fields), decide what belongs in the sanitised analytics layer versus a restricted dataset, and document the outcome
Implement least-privilege access across datasets, reports, and dashboards
What we’re looking for
Must-haves
Hands-on production experience with
dbt
(we run dbt Core) — this is a hard requirement
Strong SQL expertise
Solid
Python
for data engineering and automation
Working knowledge of
AWS
data services
Experience with
GitHub
and
GitHub Actions
(or equivalent CI/CD tooling) for testing and deploying data code
Experience with a modern BI tool (e.g., Lightdash, Omni, Looker, or Metabase), and a genuine interest in semantic layers (e.g., MetricFlow, Cube Core) and self-serve analytics
Comfortable using AI tools as part of your day-to-day engineering workflow
Strong communication — you can sit with a non-technical stakeholder, understand their real problem, and explain trade-offs in plain language
Ownership: you’re comfortable being the first and only person in this role, and building things properly from scratch
Nice-to-haves
Airflow
or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte
Warehouse cost and performance tuning, particularly on Redshift
Fintech, investment management, or another regulated industry
Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role-based access tiers, automated PII detection
Experience with Notion AI or Asana automations
Day-to-day working style
We favour clear thinking and simple, well-tested solutions over cleverness
We expect you to engage directly with the business, not hide behind tickets — understanding the “why” behind a request is part of the job
We’re genuinely trying to use AI to work faster and better, not as a buzzword — we want people who’ll experiment, share what works, and level up the team
As the first analytics engineer, you’ll define what “good” looks like here: process, standards, and tooling included
We believe data should be
as accessible as it can safely be, and as restricted as it needs to be
— good judgement applied consistently, not blanket lockdown
Practical details
Reports to:
Chief Data Officer
Team:
Data & Analytics
Level:
Mid to Senior
Location / working pattern:
London / hybrid
УдалённоCanada (Remote)
УдалённоFrance (Remote)
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Автоотклики