Location: Dallas
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
FUNCTION OVERVIEW
Harvey's Legal Engineering team is composed of former practicing attorneys who work to bring value to Harvey's prospects and customers. Legal Engineers lead discovery, demos, trainings, and onboarding alongside our AEs and CSMs. They translate real legal work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow.
At Harvey, we segment the Legal Engineering function into three teams: Legal Engineers (Pre-Sales), Legal Engineers, Product Specialists (Post-Sales), and Legal Engineers, Custom Solutions (Pre- and Post-Sales). Legal Engineers across all three subgroups understand how lawyers think and work, and use that expertise to design, build, and refine solutions that hold up under live in-practice pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what the legal profession needs. It's a team built to power Harvey as the platform lawyers can trust with their most important work.
You may be asked to travel around 2-3+ times per month. Travel is always for a significant business need and typically is for 1-3 days at a time.
WHAT YOU'LL DO
Legal Engineer (Pre-Sales)
Legal Engineers are lawyers who left practice to help build the future of legal work. Working closely with Account Executives, they engage with many of the world’s leading law firms and legal teams throughout the pre-sales process. They lead collaborative pilot programs, guide prospects through what’s possible with AI, and work alongside lawyers to understand their workflows, build tailored solutions, and demonstrate meaningful value in real legal use cases. Along the way, they bring prospect feedback back into the product, helping shape the future of Harvey.
Legal Engineer, Product Specialist (Post-Sales)
LEPS take over once a prospect becomes a customer. LEPS build trusted relationships with many of the world's leading legal teams by learning their workflows and showing them how to weave Harvey into daily practice. The LEPS role spans the entire customer journey, from leading onboarding and enablement, to sitting down with a full practice group to build agents on real matters. Along the way, the LEPS translates legal practice needs into actionable feedback for product and engineering, contributes to customer-facing content across practice areas, and upholds Harvey's credibility as the leading AI platform for lawyers.
Legal Engineer, Custom Solutions (Pre-Sale and Post-Sale)
LECS are a specialist group that work on complex no-code custom Harvey in-app solutions. LECS meet with group heads, general counsel, and other senior stakeholders to learn how key processes run today. Drawing on their legal expertise, they use natural language prompting to design bespoke resources, including agents, playbooks, and other tools, that improve the quality, speed, and experience of that process. The build is collaborative. The LECS scope it with the customer, prototype against sample documents, and refine it alongside their team. Most LECS work happens post-sale, but the team also supports strategic accounts pre-sale on an advisory basis. LECS concentrates narrowly on designing tools that automate a specific process, and on building relationships with the senior leaders who own it.
*In your initial interview with our recruiting team, you'll learn more about all three roles, and we'll identify which may be the best fit based on your background and our current hiring needs.
WHAT YOU HAVE
- JD or equivalent legal qualification.
- 3 + years of practicing law in-house, at a top-tier law firm, or advising a sophisticated corporate legal team.
- Strong understanding of the workflows, challenges, and demands of law firms, including balancing legal risk with business priorities.
- Executive presence and relationship-building skills, with the ability to establish credibility with legal and business stakeholders at all levels.
- Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or engaging in strategic customer conversations.
- Deep curiosity about AI's potential to transform legal work, paired with a practical, solutions-oriented mindset and bias toward action.
- Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes.
- Cross-functional experience (business, ops, compliance, product), sales/customer-facing experience (law firm BD, secondment), and/or hands-on experience using AI tools in legal practice are all pluses.
COMPENSATION
$220,000 - $320,000 USD OTE 75/25 split
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-LS1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Chicago
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
FUNCTION OVERVIEW
Harvey's Legal Engineering team is composed of former practicing attorneys who work to bring value to Harvey's prospects and customers. Legal Engineers lead discovery, demos, trainings, and onboarding alongside our AEs and CSMs. They translate real legal work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow.
At Harvey, we segment the Legal Engineering function into three teams: Legal Engineers (Pre-Sales), Legal Engineers, Product Specialists (Post-Sales), and Legal Engineers, Custom Solutions (Pre- and Post-Sales). Legal Engineers across all three subgroups understand how lawyers think and work, and use that expertise to design, build, and refine solutions that hold up under live in-practice pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what the legal profession needs. It's a team built to power Harvey as the platform lawyers can trust with their most important work.
You may be asked to travel around 2-3+ times per month. Travel is always for a significant business need and typically is for 1-3 days at a time.
WHAT YOU'LL DO
Legal Engineer (Pre-Sales)
Legal Engineers are lawyers who left practice to help build the future of legal work. Working closely with Account Executives, they engage with many of the world’s leading law firms and legal teams throughout the pre-sales process. They lead collaborative pilot programs, guide prospects through what’s possible with AI, and work alongside lawyers to understand their workflows, build tailored solutions, and demonstrate meaningful value in real legal use cases. Along the way, they bring prospect feedback back into the product, helping shape the future of Harvey.
Legal Engineer, Product Specialist (Post-Sales)
LEPS take over once a prospect becomes a customer. LEPS build trusted relationships with many of the world's leading legal teams by learning their workflows and showing them how to weave Harvey into daily practice. The LEPS role spans the entire customer journey, from leading onboarding and enablement, to sitting down with a full practice group to build agents on real matters. Along the way, the LEPS translates legal practice needs into actionable feedback for product and engineering, contributes to customer-facing content across practice areas, and upholds Harvey's credibility as the leading AI platform for lawyers.
Legal Engineer, Custom Solutions (Pre-Sale and Post-Sale)
LECS are a specialist group that work on complex no-code custom Harvey in-app solutions. LECS meet with group heads, general counsel, and other senior stakeholders to learn how key processes run today. Drawing on their legal expertise, they use natural language prompting to design bespoke resources, including agents, playbooks, and other tools, that improve the quality, speed, and experience of that process. The build is collaborative. The LECS scope it with the customer, prototype against sample documents, and refine it alongside their team. Most LECS work happens post-sale, but the team also supports strategic accounts pre-sale on an advisory basis. LECS concentrates narrowly on designing tools that automate a specific process, and on building relationships with the senior leaders who own it.
*In your initial interview with our recruiting team, you'll learn more about all three roles, and we'll identify which may be the best fit based on your background and our current hiring needs.
WHAT YOU HAVE
- JD or equivalent legal qualification.
- 3 + years of practicing law in-house, at a top-tier law firm, or advising a sophisticated corporate legal team.
- Strong understanding of the workflows, challenges, and demands of law firms, including balancing legal risk with business priorities.
- Executive presence and relationship-building skills, with the ability to establish credibility with legal and business stakeholders at all levels.
- Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or engaging in strategic customer conversations.
- Deep curiosity about AI's potential to transform legal work, paired with a practical, solutions-oriented mindset and bias toward action.
- Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes.
- Cross-functional experience (business, ops, compliance, product), sales/customer-facing experience (law firm BD, secondment), and/or hands-on experience using AI tools in legal practice are all pluses.
COMPENSATION
$220,000 - $320,000 USD OTE 75/25 split
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-LS1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
FUNCTION OVERVIEW
Harvey's Legal Engineering team is composed of former practicing attorneys who work to bring value to Harvey's prospects and customers. Legal Engineers lead discovery, demos, trainings, and onboarding alongside our AEs and CSMs. They translate real legal work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow.
At Harvey, we segment the Legal Engineering function into three teams: Legal Engineers (Pre-Sales), Legal Engineers, Product Specialists (Post-Sales), and Legal Engineers, Custom Solutions (Pre- and Post-Sales). Legal Engineers across all three subgroups understand how lawyers think and work, and use that expertise to design, build, and refine solutions that hold up under live in-practice pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what the legal profession needs. It's a team built to power Harvey as the platform lawyers can trust with their most important work.
You may be asked to travel around 2-3+ times per month. Travel is always for a significant business need and typically is for 1-3 days at a time.
WHAT YOU'LL DO
Legal Engineer (Pre-Sales)
Legal Engineers are lawyers who left practice to help build the future of legal work. Working closely with Account Executives, they engage with many of the world’s leading law firms and legal teams throughout the pre-sales process. They lead collaborative pilot programs, guide prospects through what’s possible with AI, and work alongside lawyers to understand their workflows, build tailored solutions, and demonstrate meaningful value in real legal use cases. Along the way, they bring prospect feedback back into the product, helping shape the future of Harvey.
Legal Engineer, Product Specialist (Post-Sales)
LEPS take over once a prospect becomes a customer. LEPS build trusted relationships with many of the world's leading legal teams by learning their workflows and showing them how to weave Harvey into daily practice. The LEPS role spans the entire customer journey, from leading onboarding and enablement, to sitting down with a full practice group to build agents on real matters. Along the way, the LEPS translates legal practice needs into actionable feedback for product and engineering, contributes to customer-facing content across practice areas, and upholds Harvey's credibility as the leading AI platform for lawyers.
Legal Engineer, Custom Solutions (Pre-Sale and Post-Sale)
LECS are a specialist group that work on complex no-code custom Harvey in-app solutions. LECS meet with group heads, general counsel, and other senior stakeholders to learn how key processes run today. Drawing on their legal expertise, they use natural language prompting to design bespoke resources, including agents, playbooks, and other tools, that improve the quality, speed, and experience of that process. The build is collaborative. The LECS scope it with the customer, prototype against sample documents, and refine it alongside their team. Most LECS work happens post-sale, but the team also supports strategic accounts pre-sale on an advisory basis. LECS concentrates narrowly on designing tools that automate a specific process, and on building relationships with the senior leaders who own it.
*In your initial interview with our recruiting team, you'll learn more about all three roles, and we'll identify which may be the best fit based on your background and our current hiring needs.
WHAT YOU HAVE
- JD or equivalent legal qualification.
- 3 + years of practicing law in-house, at a top-tier law firm, or advising a sophisticated corporate legal team.
- Strong understanding of the workflows, challenges, and demands of law firms, including balancing legal risk with business priorities.
- Executive presence and relationship-building skills, with the ability to establish credibility with legal and business stakeholders at all levels.
- Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or engaging in strategic customer conversations.
- Deep curiosity about AI's potential to transform legal work, paired with a practical, solutions-oriented mindset and bias toward action.
- Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes.
- Cross-functional experience (business, ops, compliance, product), sales/customer-facing experience (law firm BD, secondment), and/or hands-on experience using AI tools in legal practice are all pluses.
COMPENSATION
$220,000 - $320,000 USD OTE 75/25 split
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-LS1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
FUNCTION OVERVIEW
Harvey's Legal Engineering team is composed of former practicing attorneys who work to bring value to Harvey's prospects and customers. Legal Engineers lead discovery, demos, trainings, and onboarding alongside our AEs and CSMs. They translate real legal work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow.
At Harvey, we segment the Legal Engineering function into three teams: Legal Engineers (Pre-Sales), Legal Engineers, Product Specialists (Post-Sales), and Legal Engineers, Custom Solutions (Pre- and Post-Sales). Legal Engineers across all three subgroups understand how lawyers think and work, and use that expertise to design, build, and refine solutions that hold up under live in-practice pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what the legal profession needs. It's a team built to power Harvey as the platform lawyers can trust with their most important work.
You may be asked to travel around 2-3+ times per month. Travel is always for a significant business need and typically is for 1-3 days at a time.
WHAT YOU'LL DO
Legal Engineer (Pre-Sales)
Legal Engineers are lawyers who left practice to help build the future of legal work. Working closely with Account Executives, they engage with many of the world’s leading law firms and legal teams throughout the pre-sales process. They lead collaborative pilot programs, guide prospects through what’s possible with AI, and work alongside lawyers to understand their workflows, build tailored solutions, and demonstrate meaningful value in real legal use cases. Along the way, they bring prospect feedback back into the product, helping shape the future of Harvey.
Legal Engineer, Product Specialist (Post-Sales)
LEPS take over once a prospect becomes a customer. LEPS build trusted relationships with many of the world's leading legal teams by learning their workflows and showing them how to weave Harvey into daily practice. The LEPS role spans the entire customer journey, from leading onboarding and enablement, to sitting down with a full practice group to build agents on real matters. Along the way, the LEPS translates legal practice needs into actionable feedback for product and engineering, contributes to customer-facing content across practice areas, and upholds Harvey's credibility as the leading AI platform for lawyers.
Legal Engineer, Custom Solutions (Pre-Sale and Post-Sale)
LECS are a specialist group that work on complex no-code custom Harvey in-app solutions. LECS meet with group heads, general counsel, and other senior stakeholders to learn how key processes run today. Drawing on their legal expertise, they use natural language prompting to design bespoke resources, including agents, playbooks, and other tools, that improve the quality, speed, and experience of that process. The build is collaborative. The LECS scope it with the customer, prototype against sample documents, and refine it alongside their team. Most LECS work happens post-sale, but the team also supports strategic accounts pre-sale on an advisory basis. LECS concentrates narrowly on designing tools that automate a specific process, and on building relationships with the senior leaders who own it.
*In your initial interview with our recruiting team, you'll learn more about all three roles, and we'll identify which may be the best fit based on your background and our current hiring needs.
WHAT YOU HAVE
- JD or equivalent legal qualification.
- 3 + years of practicing law in-house, at a top-tier law firm, or advising a sophisticated corporate legal team.
- Strong understanding of the workflows, challenges, and demands of law firms, including balancing legal risk with business priorities.
- Executive presence and relationship-building skills, with the ability to establish credibility with legal and business stakeholders at all levels.
- Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or engaging in strategic customer conversations.
- Deep curiosity about AI's potential to transform legal work, paired with a practical, solutions-oriented mindset and bias toward action.
- Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes.
- Cross-functional experience (business, ops, compliance, product), sales/customer-facing experience (law firm BD, secondment), and/or hands-on experience using AI tools in legal practice are all pluses.
COMPENSATION
$220,000 - $320,000 USD OTE 75/25 split
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-LS1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Bangalore, India
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in training and optimizing vision-language models with a focus on real-world deployment. Your work will span the full model development lifecycle - from data curation and training pipeline design to model evaluation and optimization - with the goal of building models that are both highly capable and practical to deploy at scale.
You will work across a wide spectrum of multimodal architectures integrating text and vision, applying state-of-the-art research to improve model quality, efficiency, and domain-specific performance. We expect you to bring a research-driven mindset combined with strong engineering discipline - someone who can identify the right technique for a given problem, implement it rigorously, and measure its impact clearly.
You will work closely with a small, high-caliber team where your contributions will have direct and meaningful impact. If you are passionate about pushing the boundaries of what multimodal AI can achieve in production environments, this is your opportunity.
Responsibilities
Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle.
Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback.
Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks.
Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques.
Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success.
Build and scale training workflows across distributed GPU infrastructure.
Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks.
Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development.
Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements.
Publish research findings in top-tier AI conferences and journals where applicable.
Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred.
Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback.
Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks.
Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks.
Experience adapting models for resource-constrained environments.
Proven open-source contributions in multimodal AI on GitHub or HuggingFace.
Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.)
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Dubai, United Arab Emirates
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in training and optimizing vision-language models with a focus on real-world deployment. Your work will span the full model development lifecycle - from data curation and training pipeline design to model evaluation and optimization - with the goal of building models that are both highly capable and practical to deploy at scale.
You will work across a wide spectrum of multimodal architectures integrating text and vision, applying state-of-the-art research to improve model quality, efficiency, and domain-specific performance. We expect you to bring a research-driven mindset combined with strong engineering discipline - someone who can identify the right technique for a given problem, implement it rigorously, and measure its impact clearly.
You will work closely with a small, high-caliber team where your contributions will have direct and meaningful impact. If you are passionate about pushing the boundaries of what multimodal AI can achieve in production environments, this is your opportunity.
Responsibilities
Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle.
Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback.
Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks.
Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques.
Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success.
Build and scale training workflows across distributed GPU infrastructure.
Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks.
Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development.
Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements.
Publish research findings in top-tier AI conferences and journals where applicable.
Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred.
Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback.
Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks.
Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks.
Experience adapting models for resource-constrained environments.
Proven open-source contributions in multimodal AI on GitHub or HuggingFace.
Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.)
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: London, United Kingdom
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in training and optimizing vision-language models with a focus on real-world deployment. Your work will span the full model development lifecycle - from data curation and training pipeline design to model evaluation and optimization - with the goal of building models that are both highly capable and practical to deploy at scale.
You will work across a wide spectrum of multimodal architectures integrating text and vision, applying state-of-the-art research to improve model quality, efficiency, and domain-specific performance. We expect you to bring a research-driven mindset combined with strong engineering discipline - someone who can identify the right technique for a given problem, implement it rigorously, and measure its impact clearly.
You will work closely with a small, high-caliber team where your contributions will have direct and meaningful impact. If you are passionate about pushing the boundaries of what multimodal AI can achieve in production environments, this is your opportunity.
Responsibilities
Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle.
Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback.
Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks.
Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques.
Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success.
Build and scale training workflows across distributed GPU infrastructure.
Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks.
Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development.
Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements.
Publish research findings in top-tier AI conferences and journals where applicable.
Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred.
Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback.
Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks.
Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks.
Experience adapting models for resource-constrained environments.
Proven open-source contributions in multimodal AI on GitHub or HuggingFace.
Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.)
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Brussels, Belgium
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in training and optimizing vision-language models with a focus on real-world deployment. Your work will span the full model development lifecycle - from data curation and training pipeline design to model evaluation and optimization - with the goal of building models that are both highly capable and practical to deploy at scale.
You will work across a wide spectrum of multimodal architectures integrating text and vision, applying state-of-the-art research to improve model quality, efficiency, and domain-specific performance. We expect you to bring a research-driven mindset combined with strong engineering discipline - someone who can identify the right technique for a given problem, implement it rigorously, and measure its impact clearly.
You will work closely with a small, high-caliber team where your contributions will have direct and meaningful impact. If you are passionate about pushing the boundaries of what multimodal AI can achieve in production environments, this is your opportunity.
Responsibilities
Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle.
Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback.
Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks.
Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques.
Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success.
Build and scale training workflows across distributed GPU infrastructure.
Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks.
Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development.
Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements.
Publish research findings in top-tier AI conferences and journals where applicable.
Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred.
Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback.
Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks.
Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks.
Experience adapting models for resource-constrained environments.
Proven open-source contributions in multimodal AI on GitHub or HuggingFace.
Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.)
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role
We are seeking an exceptional Staff Applied Researcher to join our Applied Science team. You will be responsible for building the algorithmic systems that power Garner — determining how we evaluate providers, make recommendations, and optimize for outcomes across cost, quality, and access.
You will be responsible for turning ambiguous, real-world problems into systems that deliver measurable impact, defining the objective functions, metrics, and logic that drive our product. You will own these systems end-to-end, from problem definition through production and ongoing performance.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own the most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them
Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks
Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, and set the standard for how the team selects and applies these approaches
Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner
Review applied science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied
Build a deep understanding of the healthcare economy and Garner's place in it
To make the role concrete, here are three problems on our near-term roadmap:
Provider tiering optimization.
Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions.
AI primary care doctor.
Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely.
Member engagement model.
Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
The ideal candidate has:
6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred
A bias toward action, quickly translating ideas into working prototypes to test approaches
Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound
Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
Strong communication skills, including at the executive level, with a track record of driving alignment across an organization
A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
Why this role
This is a unique opportunity to work on high-impact search problems in healthcare, helping shape how members find better care through algorithmic systems that directly influence healthcare outcomes.
Compensation Transparency:
The target base comp range for this position is
$260,000 – $382,000
. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Palo Alto, California
Aptos is a people-first blockchain on a mission to help billions of people achieve universal and fair access to decentralized assets in a safe and scalable way.
Founded by some of the original creators and maintainers that researched, designed, and built the Diem blockchain to serve this purpose, we have dedicated several years toward this mission. We believe the open-source Diem technology we have developed is an important foundation of a safe and scalable web3 world where everyone has more equitable opportunities to grow and access financial assets with lower fees and fewer intermediaries.
Aptos (Ohlone for "The People") encompasses our mission and ethos for why we build.
About The Role
We're looking for a talented, driven Senior Software Engineer to build the critical infrastructure that powers the Aptos blockchain ecosystem.
This role will have significant impact and visibility - the systems you build will directly enable thousands of developers to build on Aptos. You'll work on APIs, indexers, node infrastructure, SDKs, and developer tools that form the foundation of the network. You'll help shape technical direction and may grow into leading other engineers as the team scales.
You should love solving hard distributed systems problems and have a passion for building robust, scalable infrastructure. You will be joining a lean team with a lot of autonomy – you should be a self-starter and thrive on self-directed work in a fast-paced environment.
This role sits in our Palo Alto, CA or New York, NY office.
What you'll be doing:
Leading initiatives to design, build, and optimize backend services and platform infrastructure for the Aptos blockchain
Developing scalable APIs, indexing services, and data pipelines to support blockchain data access
Building and maintaining infrastructure for node operations, monitoring, and observability
Building and maintaining SDKs, libraries, and developer tools
Writing clean, performant, well-tested, and production-ready code
Collaborating closely with protocol engineers, infrastructure teams, and product engineers
What you bring:
5+ years of experience building and shipping scalable backend systems
Strong experience building backend systems in languages such as Rust, Go, C++, Java, Python, or similar
Deep understanding of systems programming concepts
Strong understanding of distributed systems, databases, and API design
Strong problem-solving skills and the ability to work autonomously in a fast-paced environment
Experience with blockchain infrastructure, indexing, or node operations (a plus)
Web3 experience or familiarity (a plus)
Background in payments, DeFi, or TradFi (a plus)
Comfortable leveraging AI tools to enhance productivity and code quality
The base salary range for this full-time position is $160k - $260k. The range displayed on each job posting reflects the minimum and typical maximum target for new hire salaries for the position of a candidate based in the Bay Area at any level. We do hire exceptionally talented professionals with decades of experience in their field. As such, our range may be higher than what is displayed. Our base salary ranges are determined by experience and location, and we hire at all levels for multiple roles. Within the range, individual pay is determined by work location, job-related skills demonstrated during the interviews, working experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only and do not include equity, tokens, or benefits.
#LI-PG1
Our Benefits
100% insurance premium coverage for medical, dental, and vision for you and your dependents (US Employees)
Equipment of your choice
Flexible vacation time, 11 holidays, and floating company days off
Competitive Salary
Protocol Token Grants
401k matching (US Employees)
Fun and inclusive in-person and digital events
Aptos is committed to diversity in the workplace, and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided based on qualifications, merit, and business need.
We are committed to providing a safe and secure hiring process for all applicants. Unfortunately, there are individuals who may attempt to impersonate Aptos or our employees for fraudulent purposes.
To protect yourself, please be aware of the following:
We will
never
ask you for payment of any kind during the application or onboarding process, including fees for background checks, training, or equipment.
We will
always
communicate with you using our official company email domain.
We will
never
request your personal financial information, such as your social security number or bank account details, during the initial application stages or via email or a video/voice call when onboarding.
Location: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Most businesses have no idea if they're overpaying for their software. They renew on autopilot, negotiate without benchmarks, and discover vendor alternatives only after the contract is already signed.
Ramp is uniquely positioned to change that. We see billions of dollars of real-world spend and contract data across thousands of companies, and we're turning it into an intelligence layer that tells businesses exactly what they should be paying, which vendors to consider, and when to act.
As PM for Vendor Intelligence & Marketplace, you'll own the product that powers this: our price benchmarking engine, contract analysis (extracting structure and risk from vendor agreements), and the emerging B2B marketplace that connects Ramp's buyer base to the right vendors at the right price. You'll be one of the first PMs building a true buyer-side intelligence layer inside a financial platform, replacing renewal anxiety and negotiation guesswork with data-driven, AI-powered decisions.
Please note that this role requires in-person presence at our NYC or SF office at least 2 days/week.
WHAT YOU’LL DO
- Own the strategy and roadmap for price benchmarks and contract intelligence, turning Ramp's aggregated spend and contract dataset into the most accurate price benchmarking product on the market.
- Build the B2B marketplace primitives that let Ramp's customers discover, compare, and engage with the right vendors, and give vendors a channel to reach Ramp's buyer base with transparent, competitive pricing.
- Design "decision moments": surfaces inside Ramp that deliver the right benchmark, contract context, or vendor alternative at exactly the moment a customer is about to sign, renew, or spend.
- Partner with data science to build the extraction, normalization, and modeling pipelines that power price benchmarks, going from raw contract PDFs and spend data to unit-normalized, SKU-level intelligence a customer can act on in a negotiation.
- Define the evaluation methodology, quality bar, and feedback loops for AI-powered contract analysis, ensuring the accuracy and explainability that enterprise customers require.
- Cover the full vendor lifecycle: discovery and intake through price negotiation, contract signing, and renewal, with the right intelligence surfaced at each step.
- Develop deep understanding of how procurement, finance, and legal teams evaluate, select, and renegotiate vendors, and translate that into sharp product bets with clear customer outcomes.
- Drive cross-functional alignment on dependencies and launch readiness: GTM enablement, customer communications, compliance review, and supportability.
WHAT YOU NEED
- BA/BS in a technical or analytical field (Computer Science, Engineering, Analytics, Mathematics, Economics, or related).
- 5+ years of product management experience, ideally with products where data quality and customer trust are the core value proposition.
- Sharp product judgment on data products and marketplaces: you understand flywheel dynamics, network effects, coverage-versus-accuracy tradeoffs, and the cold-start problem.
- AI fluency: hands-on experience building AI features, comfort with LLM-based extraction and retrieval, evaluation methodology, and human-in-the-loop design.
- Strong commercial instincts: you understand how businesses buy software, what levers drive negotiation outcomes, and why price transparency changes behavior.
- Track record building products where trust is earned over time: explainability, auditability, graceful degradation, and clear user controls.
- Comfort working in technical environments (Figma, SQL, Git) and prototyping quickly with modern AI tools (Claude Code, Cursor).
- Clear, direct communication across technical and non-technical stakeholders; ability to make a crisp case for a product bet without a deck full of slides.
NICE-TO-HAVES
- Experience building price benchmarking, market intelligence, or contract analytics products, anywhere from procurement software to B2B SaaS to fintech.
- Marketplace experience: supply/demand matching, seller acquisition, buyer discovery, and the trust primitives that make two-sided systems work.
- Document understanding: OCR, LLM-based extraction, normalizing structured data from unstructured contracts.
- Background in procurement, vendor management, or enterprise SaaS buying and selling, either as a PM or as a practitioner.
- Familiarity with compliance-adjacent domains: vendor due diligence, security reviews, NDAs, audit trails.
- Experience at a high-growth startup taking 0→1 products to scale.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Lisbon; Belgrade
Workplace: OnSite
Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.
Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.
Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.
[https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg]
We’re looking for a Senior Technical Writer to own and improve our Docusaurus based developer documentation for products built primarily with JavaScript / TypeScript.
You will work closely with engineers and product teams to create clear, accurate, and structured documentation that helps developers understand how our platform works and how to integrate with it.
This role requires someone who not only writes well but also understands the domain. Experience in fintech or game development is highly valued, as the role involves working with domain-specific concepts and terminology.
You will also help improve and expand our documentation portal, making it a reliable source of knowledge for both internal teams and external developers.
KEY RESPONSIBILITIES
Documentation Creation and Ownership
- Create and maintain developer documentation, including guides, API references, architecture overviews, and integration tutorials
- Work closely with engineers and product teams to translate complex technical concepts into clear, structured documentation
- Ensure documentation remains accurate and up to date as the platform evolves
Documentation Platform and Knowledge Systems
- Own and improve the documentation portal, including structure, navigation, discoverability, and search
- Manage documentation workflows, localization processes, and content organization
- Establish documentation standards and improve consistency across teams
AI-Powered Documentation Experience
- Improve AI-assisted documentation experiences, including knowledge sources, content structure, and AI answer quality
- Help ensure documentation is optimized for both human readers and AI-assisted discovery
REQUIRED QUALIFICATIONS
- 5+ years of experience creating developer-facing technical documentation
- Strong experience with Markdown/MDX and documentation-as-code workflows
- Excellent written English and ability to explain complex technical concepts clearly
- Experience working closely with engineering teams and software development processes
- Experience with AI-assisted writing and development tools
Important: Familiarity with fintech, gaming, or other technically complex product domains
PREFERRED QUALIFICATIONS
- Experience with documentation platforms such as Docusaurus, GitBook, MkDocs, Notion, or Confluence
- Understanding of APIs, developer workflows, and modern JavaScript/TypeScript ecosystems
- Experience structuring and maintaining large documentation systems
- Familiarity with Git-based workflows, frontend technologies, or documentation site customization
- Experience with testing, localization, or documentation quality processes
WHY JOIN US
- World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players
- High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months
- Autonomy and ownership – we trust people to make decisions, take initiative, and drive results
- Modern tools and technology – use AI, automation, and modern tools as part of your everyday work
- Equity – participate in the company's growth and long-term success
Location: Lisbon; Belgrade
Workplace: OnSite
Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.
Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.
Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.
[https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg]
We're looking for a Senior Python Developer to join the Platform team and take ownership of core backend systems powering Aghanim — a direct-to-consumer (DTC) platform that helps mobile game developers monetize outside app stores. We act as a Merchant of Record, handling payments, compliance, and taxation across 200+ territories, while providing game studios with tools for LiveOps automation, player segmentation, and community engagement.
The codebase follows domain-driven design with 60+ business domains, strict code quality standards, and AI-assisted development as a standard part of the workflow. You'll work across a modern Python stack — Python 3.13+, FastAPI, Pydantic — with a heavy integration layer connecting game backends, and external services.
KEY RESPONSIBILITIES
Backend Architecture and Development
- Design, build, and own backend systems end-to-end
- Drive architecture and key technical decisions
- Build APIs, integrations, and scalable backend services
Data, Infrastructure, and Reliability
- Design reliable and scalable data and infrastructure foundations
- Own performance and availability against concrete SLOs (thousands of requests per second at p95 latency under 200ms, with a 99.99% uptime target)
- Diagnose, investigate, and solve complex operational issues
Cross-functional Collaboration and Leadership
- Work closely with product and engineering to deliver business impact
- Raise the engineering bar through reviews, mentorship, and technical leadership
- Take ownership of ambiguous problems and drive them to completion
REQUIRED QUALIFICATIONS
- 5+ years building production backend systems in Python
- Strong experience with FastAPI or similar modern backend frameworks
- Deep understanding of distributed systems, APIs, integrations, and asynchronous architectures
- Strong PostgreSQL and Redis experience
- Experience with NoSQL, distributed, and analytical data stores
- Solid software architecture and system design skills
- Experience operating and scaling high-load systems in production
- High ownership, strong execution, and ability to work independently
- Confident use of AI-assisted development tools with strong validation and engineering judgment
PREFERRED QUALIFICATIONS
- Modern Python tooling (uv, ruff, type checking)
- NoSQL, distributed, and analytical data stores
- Google Cloud Platform
- Event-driven architectures and background processing systems
- High-scale, multi-tenant, or transaction-heavy platforms
- Gaming, fintech, e-commerce, or payments experience
WHY JOIN US
- World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players
- High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months
- Autonomy and ownership – we trust people to make decisions, take initiative, and drive results
- Modern tools and technology – use AI, automation, and modern tools as part of your everyday work
- Equity – participate in the company's growth and long-term success
Location: Toronto; London; New York; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT NORTH
North is Cohere's agentic AI platform: it securely deploys AI agents and automations inside an organization's own infrastructure, combining generative and search models with customizable integrations to drive productivity at scale.
OVERVIEW
North is only as valuable as the systems it can reach - CRM, ITSM, productivity suites, data warehouses, knowledge stores, and identity. You'll own that integrations surface end to end.
It’s a dual mandate: own the integrations themselves (prioritize, ship, and drive adoption) and build the underlying platform capabilities they depend on when those don't yet exist.
OUTCOMES
- Family of integrations that are adopted and driving customer value, measured by usage and retention.
- Reusable, platform-level capabilities and a developer and partner on-ramp that scale across use cases.
RESPONSIBILITIES
- Define the integration ecosystem strategy for North - roadmap, catalogue priorities, and partner posture - anchored to customer demand and revenue.
- Own North's integrations end to end, and partner with strategic customers to define transformative, integrations-based workflows.
- Derive generic, platform-level capabilities (connector framework, auth and identity, tool-use, data sync, permissioning) where they don't yet exist, partnering with the core-experience team on shared work.
- Collaborate with forward-deployed engineering to define how to evolve integration work into reusable product, to scope, sequence, and build it.
- Define the developer and partner experience (APIs, SDKs, plugin model, docs) and instrument analytics to track adoption, time-to-stand-up, and retention.
REQUIREMENTS
- 5+ years in product management on platform / API, integrations, or developer / ecosystem products.
- Track record shipping integration, connector, or platform products with real impact on adoption, expansion, or retention.
- Experience working directly with high-stakes customers and ecosystem partners.
- Technical fluency with APIs, auth, data models, and integration architecture; comfortable with first-party vs. partner vs. self-serve tradeoffs.
- Analytical and metrics-first, and a strong cross-functional collaborator across engineering, design, and field / deployment teams.
- Experience with AI-first product management.
- Bias for shipping and iterating.
- Experience with a least a few domains of: Agentic AI, LLMs, Automation, Productivity, Enterprise security and compliance.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Lisbon, Portugal
About the Role
As a Software Engineer on the Fund Accounting team, you'll have the opportunity to shape the platforms and systems that define how our operations run at scale. This is a full-stack, end-to-end engineering role where your contributions — from architecture decisions to shipped features — directly improve efficiency, automation, and accuracy across fund finance workflows used by industry-leading institutions.
You'll partner closely with Product Management through the full software development lifecycle, from requirements gathering to delivery, building solutions that solve real, high-stakes problems in a domain where precision and scale both matter.
On the technical side, you'll work primarily with Ruby on Rails on the backend and React on the frontend. We value strong engineering fundamentals — if you bring a solid technical foundation and the drive to build exceptional products, you'll have full support to ramp on our technologies through mentorship and hands-on experience.
Familiarity with finance and accounting concepts is a plus. Over time, domain knowledge becomes a meaningful force multiplier when your work is directly automating complex financial processes at the heart of the alternative investments industry.
Responsibilities:
Backend feature development using Ruby (3.3.x) and Rails (8.x)
Frontend application development using React and Redux
Development of unit and integration tests using RSpec, Cucumber, and Capybara
Building prototypes and proof-of-concepts (POCs)
Active participation in recurring team meetings and ceremonies
Participation in peer code reviews as part of our SDLC and change management processes
Qualifications:
Degree in Software Engineering or a related field is
6+ years of full-stack web application development
6+ years of development experience with React and Ruby on
Experience with frameworks such as Python / Elixir, PHP / Laravel or similar may compensate for less direct Ruby on Rails experience.
6+ years of HTML and CSS development
Strong understanding of relational database concepts, data modeling, normalization, and object-relational mapping (ORM).
Passion for learning and adopting new
Ability to work independently and collaboratively within a team environment.
Strong problem-solving and analytical thinking
Excellent communication
Collaborative approach to software
Proficiency in written and spoken English is required. Portuguese fluency is required for positions based in Portugal.
Prior experience in the financial industry, including asset and wealth management, hedge funds, or investment banking, will be valued.
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday).
Benefits
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).
For additional information on iCapital Network, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
Location: United States + International (Remote)
GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find.
The role
Senior Program Officers are the leaders of GiveWell's grantmaking. In this role, you'll take primary responsibility for a significant grantmaking portfolio, setting its strategy and sifting through the many opportunities we could fund to focus on those that matter most. Your decisions will inform the allocation of hundreds of millions of dollars to dozens of grantees. You'll also communicate externally about our work and mentor and advise other members of the team.
You will build and lead a grantmaking portfolio that brings rigor and creativity to GiveWell's hardest funding problems. You'll combine rigorous review of empirical evidence, cost-effectiveness modeling, strong grantee relationships, ground-truthing of how programs are actually delivered, discussions with subject matter experts, understanding of the broader context, and your own judgment to decide what to fund, how to structure it, and when to build something new. In the course of your work, you might approach questions like these:
How should we balance exploring and seeding new, smaller opportunities with funding cost-effective opportunities at scale today?
When the best opportunity doesn't exist yet, how do we create it, whether through co-design, seeding an implementer, or shaping broader incentives?
What is the best direction for our portfolio, and are we correctly prioritizing the programs and grantees we fund?
Where are the highest-impact opportunities to expand the portfolio while improving its cost-effectiveness?
How can we triangulate empirical evidence against expert opinion and other qualitative features, like a grantee's organizational track record?
Do a grantee's reported outputs reflect real coverage, quality, and adherence to evidence-based practices on the ground?
What research can we fund today that could substantially improve our grantmaking five years from now?
How much uncertainty are we willing to accept before making a grant, and which questions do we need to answer first?
Senior Program Officers work closely with
Senior Researchers
, an equivalently-leveled, parallel role on our team. Senior Researchers typically set the research agenda for grantmaking areas and tackle the thorniest, most open-ended questions we face, while Senior Program Officers own the grant and portfolio decisions — deciding what we fund and why, and incorporating Senior Researchers' analysis into their decisionmaking. Senior Program Officers have a research mindset, too: they're comfortable digging into a cost-effectiveness model and forming their own view of the evidence.
Team structure
Our research department is currently organized into eight teams:
Five of the teams (Water, Livelihoods, Nutrition, Malaria, and Vaccines) focus on specific areas of grantmaking.
The New Areas team focuses on interventions in domains that are new to GiveWell.
The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work.
The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing.
New Senior Program Officers typically begin on our Cross-Cutting team, where they complete a structured onboarding program with one-on-one feedback on core GiveWell skills like evidence review, cost-effectiveness analysis, and clear research writing. Onboarding usually lasts one to two months.
We generally decide which team a new hire will join by the end of onboarding. Most move onto one of our grantmaking teams (for example, Malaria, Nutrition, Vaccines, or New Areas), and some stay on Cross-Cutting. Placement is based mainly on the research team's needs. In most cases, we won't know at the time of the offer which team someone will join, but if a candidate brings specialized expertise, we may settle on a team sooner. Once placed, team members usually stay on that team long-term.
Team values
We think our research team has unique qualities:
We care deeply and centrally about finding and sharing truth.
Truth-seeking is one of our
core values
. We post
our mistakes
and we prize our team members who keep our culture of free-flowing feedback strong.
We are independent.
We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs.
We don’t waste time.
Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions.
Lean research team = huge personal impact.
In 2026,
our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future.
We work well together.
Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly.
About you
The strongest candidates typically have at least 5-10 years of professional experience, a significant portion of which was in similar or closely-related roles. Many of our senior staff have quantitatively-oriented advanced degrees, but there’s no hard academic requirement — what matters to us is that you’ve used empirical tools to make rigorous, evidence-based decisions under uncertainty, whether you’ve done that in graduate training or hands-on experience.
In addition to relevant experience with the responsibilities listed above, we'll be interested in people with strong track records in any of the following areas:
Funding, building or scaling new programs, initiatives, or organizations.
Using rigorous quantitative analysis and cost-effectiveness modeling to support decisionmaking
Building relationships with diverse stakeholders (you'll work with other funders, research organizations, NGOs, and more, so it will be important for you to have strong skill in this area)
Owning large budgets and/or grant portfolios
Excellent written and verbal communication, with an emphasis on directness and clarity
Setting and iterating on strategy in complex, fast moving environments
It’s a plus, but not required, if you have experience:
Engaging with global health, development, or related fields
Reviewing randomized controlled trials and impact evaluations
Working with governments or multilateral organizations
Gathering first-hand data to inform program design
Managing a variety of grant types, including advocacy and market-shaping initiatives
You can review our staff bios
here
for more practical insight on the backgrounds and experience of our current team.
We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality:
GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact.
You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny.
You get things done, and you'll drop what you're doing when something matters more. You drive work to conclusions efficiently, and when the evidence shifts or a higher-value opportunity appears, you’re eager to pivot.
You're entrepreneurial. When you see a gap, you want to fill it, whether that's designing a new program, finding an implementer, or setting up a new kind of funding mechanism. You make bets under uncertainty.
You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s.
You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels.
You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks.
You love a
gnarly problem
. You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned.
The details
Compensation:
We set salaries using a location-based tier system. Our pay for this role:
NYC or the San Francisco Bay Area: $308,000.
All other U.S. locations: $280,000.
International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency.
Benefits
: Our
benefits
include:
Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents)
Four weeks of paid time off per year
16 weeks of fully paid parental leave
Ergonomic home workstations or coworking space memberships
Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff)
Countries we can hire from:
GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we'd encourage you to check back and apply again for a role you're eligible for.
Visa sponsorship:
The US is the only country where visa sponsorship is possible for a number of roles, and it's assessed on a case by case basis. For all other countries, you need to already have work authorization, we cannot sponsor visas.
Why we work this way:
Focusing on countries where we already have tested onboarding processes lets us move candidates through hiring faster and with fewer surprises. Every additional country brings its own labor laws, EOR requirements, and new processes to work through, which slows things down for hiring teams and new colleagues alike. Concentrating our footprint keeps the experience consistent and supports GiveWell’s wider absorption capacity goals.
Flexibility:
We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another.
Travel:
Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend annual department retreats and twice-annual whole org visit weeks to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting obligations.
Start date:
We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date.
Application deadline:
We don't currently have an application deadline. If that changes, we'll update the posting. We're reviewing applications on a rolling basis, so we recommend applying as soon as possible.
Miscellaneous details:
Please note that our hiring process relies on some (not all) of the same work trials that we use in our Researcher and Senior Researcher roles (including team-specific Senior Researcher postings). If you applied to one of these roles within the last year, you should hold off on applying to others unless our team reaches out directly. If you're interested in multiple roles, please just apply once and note in your application that you'd like to be considered for the other roles, too.
After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our
FAQs page
!
We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible.
We have a strong preference for full-time applicants, but we sometimes consider applications for part-time work on a case-by-case basis. We aren’t interested in reviewing applications for contract or project-based work at this time.
If we settle on an application deadline, we’ll write it in bold here. If you’re on our website job posting and don’t see a deadline, there is no deadline. If you’re reading this on an external job board and don’t see a deadline, you should double-check on our
website
.
You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions.
About GiveWell
GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our
giving funds
enable donors to contribute to the most impactful and cost-effective programs our researchers identify.
GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than
430,000 lives
.
GiveWell is most well-known for recommending a small number of
Top Charities
, which currently support
seasonal malaria chemoprevention
,
insecticide-treated nets
,
vaccine incentivization
, and
vitamin A supplementation
. However, most of our research capacity and grantmaking is devoted to
cost-effective opportunities outside of those programs
.
GiveWell
grants
have:
Helped governments
navigate changes to the funding landscape
and implement high-impact health programs, like
HIV/syphilis screening and treatment
for pregnant people in Zambia and Cameroon.
Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the
Clinton Health Access Initiative’s Incubator
to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we
funded a program
to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program.
Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like
healthcare support and malnutrition treatment
in northern Cameroon.
Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support
treatment of clubfoot
and to
evaluate the program
.
Tested our
assumptions and refined our understanding
through further research and data collection, including
improved estimates of disease burden
and studies on
the effect of water chlorination on mortality
and
the impact of a tree-planting program on farmers’ income
.
We make our reasoning public and transparent so others can challenge it (sometimes we even
pay people to point out our errors
). We go to unusual lengths to check our assumptions and assess our impact, including
funding research
to address our uncertainties and gathering
independent monitoring and evaluation data
about the programs we support. We
change
our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s
interview
with GiveWell’s co-founder and CEO Elie Hassenfeld.
Additional information
We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records.
By submitting an application, you acknowledge that you have read and consent to GiveWell’s
Privacy Statement for Applicants
. By completing an application exercise, you acknowledge and assent to
GiveWell’s Work Trial Policy
.
Location: San Francisco
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Customer Success Manager you’ll play a critical role in guiding our clients through their journey with Harvey, and help define the future of work at both law firms and in-house teams. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows. This individual will also have a chance to design and deploy scalable 1:many solutions that will impact how we serve our broad mid-market customer base in a highly efficient manner at scale.
WHAT YOU'LL DO
- Strategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions.
- Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product.
- Client Relationship Management: Serve as the primary contact for 40+ mid-market clients with a prescriptive and consultative approach and delivering a superior customer experience.
- Process Creation: Drive scalability in the way we operate through documentation, designing playbooks, self-help materials, email cadences, and automation to ensure we drive efficiency in our long term mid-market strategy.
- Success Metrics Management: Utilize adoption rates, benchmarks, and other key metrics to drive strategies ensuring client satisfaction and high ROI.
- Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations.
- Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities.
- Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services.
WHAT YOU HAVE
- Experienced professionals from legal firms or SaaS organizations, with direct experience managing a high volume of client cases and/or customers.
- Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels.
- Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly.
- Team players described as empathetic, committed, structured, motivated, and collaborative with a team-first mentality.
- Experience with Salesforce and Catalyst, are preferred, but not required.
WHAT WE OFFER
- A chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive.
- An opportunity to contribute to the growth and direction of our Customer Success program, building out best-in-class playbooks and processes.
- A collaborative work environment that promotes growth, learning, and development.
COMPENSATION RANGE
$125,000 - $145,000 OTE
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-JL1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Customer Experience runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that.
As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the Customer Experience org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with Customer Experience leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale.
This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace.
WHAT YOU'LL DO
- Own recurring reporting for Customer Experience — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences
- Translate support data into clear narratives: what's happening, why, and what to do about it
- Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time
- Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance
- Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need
- Work with Harvey's central data team to connect support data to broader product and customer data sources
- Identify and close data collection gaps — if we can't measure it, help define how we should
- Design feedback loops that connect support signals to Product, Engineering, and Customer Success
- Quantify the operational cost of product bugs, feature gaps, and onboarding failures
- Contribute to QA analytics as the QA program matures
- Track ticket deflection, AI/chatbot performance, and self-service effectiveness
- Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools
- Support ad hoc analytical requests from the Support Operations Manager, Customer Experience leadership, and senior stakeholders
WHAT YOU HAVE
Required
- 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function
- Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't
- SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas)
- Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent
- Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly
- Strong data storytelling — you don't just present numbers, you write the narrative
- Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at
Strong Plus
- Experience with Python for data manipulation or automation
- Familiarity with dbt or similar data transformation tooling
- Experience building or contributing to QA analytics programs
- Background supporting enterprise SaaS or AI-native products
- Experience working with Zendesk APIs or extracting data beyond standard reporting
Key Attributes
- AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier
- Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask
- Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong
- Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself
- Ownership: you treat Customer Experience analytics as your problem to solve, not a ticket queue to process
COMPENSATION
$112,000 - $168,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-ML1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
ГибридChicago
ГибридSan Francisco
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ГибридNew York, NY (HQ); San Francisco, CA; Relocation expense coverage to NYC or SF (if needed)
ОфисseniorLisbon; Belgrade
ОфисseniorLisbon; Belgrade
УдалённоToronto; London; New York; Montreal; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
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