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
In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack.
We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Scale our post-training stack, supporting SFT and RL on leading open-weight models.
- Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks.
- Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation.
- Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability.
- Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result.
- Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments.
- Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely.
- Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation.
WHAT YOU HAVE
- Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation.
- Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks.
- Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack.
- Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus.
- Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve.
We are hiring for this role across multiple levels.
COMPENSATION
$230,000 - $450,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
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.
ROLE OVERVIEW
In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work.
We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows.
- Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail.
- Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows.
- Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation.
- Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination.
- Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most.
- Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions.
WHAT YOU HAVE
- Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code.
- A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead.
- The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria.
- Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work.
We are hiring for this role across multiple levels.
COMPENSATION
$230,000 - $450,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
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: London
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
In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work.
We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows.
- Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail.
- Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows.
- Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation.
- Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination.
- Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most.
- Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions.
WHAT YOU HAVE
- Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code.
- A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead.
- The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria.
- Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work.
We are hiring for this role across multiple levels.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
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: Remote
Workplace: Remote
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
In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work.
We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows.
- Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail.
- Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows.
- Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation.
- Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination.
- Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most.
- Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions.
WHAT YOU HAVE
- Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code.
- A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead.
- The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria.
- Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work.
We are hiring for this role across multiple levels.
COMPENSATION
$230,000 - $450,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
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
In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work.
We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows.
- Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail.
- Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows.
- Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation.
- Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination.
- Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most.
- Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions.
WHAT YOU HAVE
- Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code.
- A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead.
- The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria.
- Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work.
We are hiring for this role across multiple levels.
COMPENSATION
$230,000 - $450,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
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.
ROLE OVERVIEW
In this role, you'll own how we adapt and improve leading open-weight models for legal work.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work.
We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows.
- Design and run post-training experiments across SFT and RL, building on leading open-weight models.
- Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break.
- Run and debug training at scale, addressing divergence, reward hacking, and instability.
- Build and use rigorous evals to track improvements and decide what ships.
- Design, implement, test, and debug code across our research stack.
WHAT YOU HAVE
- Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results.
- Deep ML fundamentals and experience getting distributed training runs working reliably.
- Strong engineering skills in Python, with production-quality code and end-to-end system ownership.
- Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required.
We are hiring for this role across multiple levels.
COMPENSATION
$230,000 - $450,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
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: Remote
Workplace: Remote
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
In this role, you'll own how we adapt and improve leading open-weight models for legal work.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work.
We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows.
- Design and run post-training experiments across SFT and RL, building on leading open-weight models.
- Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break.
- Run and debug training at scale, addressing divergence, reward hacking, and instability.
- Build and use rigorous evals to track improvements and decide what ships.
- Design, implement, test, and debug code across our research stack.
WHAT YOU HAVE
- Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results.
- Deep ML fundamentals and experience getting distributed training runs working reliably.
- Strong engineering skills in Python, with production-quality code and end-to-end system ownership.
- Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required.
We are hiring for this role across multiple levels.
COMPENSATION
$230,000 - $450,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
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: London
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
In this role, you'll own how we adapt and improve leading open-weight models for legal work.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work.
We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows.
- Design and run post-training experiments across SFT and RL, building on leading open-weight models.
- Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break.
- Run and debug training at scale, addressing divergence, reward hacking, and instability.
- Build and use rigorous evals to track improvements and decide what ships.
- Design, implement, test, and debug code across our research stack.
WHAT YOU HAVE
- Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results.
- Deep ML fundamentals and experience getting distributed training runs working reliably.
- Strong engineering skills in Python, with production-quality code and end-to-end system ownership.
- Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required.
We are hiring for this role across multiple levels.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
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
In this role, you’ll own how we adapt and improve leading open-weight models for legal work.
We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work.
We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly.
Learn more about our work at harvey.ai/research http://harvey.ai/research.
WHAT YOU'LL DO
- Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows.
- Design and run post-training experiments across SFT and RL, building on leading open-weight models.
- Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break.
- Run and debug training at scale, addressing divergence, reward hacking, and instability.
- Build and use rigorous evals to track improvements and decide what ships.
- Design, implement, test, and debug code across our research stack.
WHAT YOU HAVE
- Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results.
- Deep ML fundamentals and experience getting distributed training runs working reliably.
- Strong engineering skills in Python, with production-quality code and end-to-end system ownership.
- Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required.
We are hiring for this role across multiple levels.
COMPENSATION
$230,000 - $450,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-DZ1
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, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We’re looking for a strategic, entrepreneurial Product Manager to help shape the future of Collab Tools. Collab Tools includes FigJam, Figma Slides, and Figma Specs. You’ll be at the forefront of defining how product teams plan, capture intent, and communicate: from the initial brainstorm to the functional prototype. As we integrate AI to make these workflows more intuitive and powerful, you’ll help us build the next generation of surfaces that empower teams to align and execute faster than ever.
What you’ll do at Figma:
Own the strategy and roadmap for one of our key products (e.g. FigJam), and help drive our vision of Collab Tools as the defacto surfaces for upstream planning and discovery.
Partner deeply with Design and Engineering to ship both foundational improvements and 0-to-1 bets, holding a high bar for craft and consumer-grade quality.
Synthesize quantitative, qualitative, and market signals into a sharp point of view on what to build and why.
Build durable relationships across your direct team, the broader pillar, and cross-functional partners, including the executive team.
Define and run agent evals defined by our vision and grounded in real user behavior to measure and improve quality, latency, and cost.
Push the frontier of AI-native product development in what you ship and in how the team plans and builds.
Operate your area end-to-end, from long-term strategy through launch and iteration, moving fast without dropping standards.
We’d love to hear from you if you have:
5-7+ years of product management experience, with a track record of shipping meaningful, well designed, consumer-grade products at B2B companies.
Comfort with ambiguity and a demonstrated ability to develop and defend a clear point of view.
Hands-on experience building and shipping agentic experiences, including defining evals, designing applied AI products, and navigating tradeoffs around quality, reliability, latency, and cost.
Fluency with the latest AI tools and genuine curiosity and excitement about how EPD teams are changing because of them.
A track record of moving fast, even inside a larger organization.
Fluency across quantitative, qualitative, and market signals to fuel prioritization and decisions.
Strong communication and organizational skills at every level, from IC to executive.
While it’s not required, it’s an added plus if you also have:
Previous experience in an engineering or design role, deeper technical chops, or interesting side projects.
Experience at both a smaller company and a more mature, late-stage or public company.
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$169,000
—
$303,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
As a Senior Implementation Consultant on the Customer Success team, you’ll lead technical deployments and customer enablement for 1Password’s product suite, partnering with Project Managers, Technical Account Managers, and Solutions Architects to deliver successful outcomes for commercial and enterprise customers. You’ll combine hands-on configuration, project management, customer training, and technical guidance to help organizations adopt secure, effective ways of working. Your work will help customers protect access to the tools and information they rely on every day, advancing 1Password’s mission to make life easier and safer for everyone.
How we’re using AI today
Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here.
This is a remote opportunity within Canada and the US.
What we're looking for:
- 5+ years of experience leading technical implementations from planning through launch, with experience in implementation consulting, solutions engineering, customer onboarding, with a proven track record of leading software deployments for large or complex organizations in a related Business-to-Business (B2B) Software as a Service (SaaS) environment.
- Combine strong technical aptitude with project management experience, including managing timelines, coordinating stakeholders, tracking time, and monitoring utilization.
- Configure solutions and answer complex customer questions independently, knowing when to involve the right internal partners.
- Understand identity and security concepts such as identity providers (IdPs), Single Sign-On (SSO), System for Cross-domain Identity Management (SCIM), Active Directory, Mobile Device Management (MDM), and Zero Trust.
- Communicate clearly with technical practitioners, senior stakeholders, and audiences with different levels of technical knowledge.
- Design and deliver engaging virtual and in-person training for enterprise administrators, executives, and end users.
- Use artificial intelligence (AI), automation, and workflow improvements thoughtfully to reduce repetitive work and create reusable solutions.
What you can expect:
- Lead the hands-on configuration, integration, validation, and launch of 1Password’s Enterprise Password Manager, SaaS Manager, Device Trust, and Unified Access.
- Partner with Project Managers on implementation plans, customer coordination, timelines, and delivery risks.
- Collaborate with Technical Account Managers, Solutions Architects, and Customer Success partners to understand customer environments and align technical approaches with business goals.
- Manage a portfolio of active customer engagements, balancing independently led implementations with training and enablement support for Project Manager-led projects.
- Deliver customized technical consultations and training sessions, including occasional onsite sessions for customers.
- Translate technical concepts into clear business value and help customers adopt solutions that support their security and operational goals.
- Identify risks early, drive issues to resolution, and improve playbooks, training materials, processes, and AI-powered workflows that strengthen the customer experience.
- Share implementation expertise with teammates through mentoring, knowledge sharing, and continuous improvement initiatives.
- Travel occasionally for customer engagements, team events, or other business needs.
USA-based roles only: The annual base salary for this role is between $102,000 USD and $148,000 USD, and is commission-eligible. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $102,000 CAD and $148,000 CAD and is commission-eligible. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to work
We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement.
For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average.
Note: All go-to market roles will have an in-person onboarding in Toronto.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: Warsaw, Mazowieckie, Poland
Workplace: hybrid
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
We are looking for a
Marketing Analyst
to join our Marketing Intelligence & Automation team in Warsaw. Our marketing team already uses an AI-powered decision system to recommend where budget should go. What limits it today is measurement: the sharper our attribution, marketing mix models and experiments, the more decisions we can trust it to make. Your job is to strengthen that foundation and turn marketing data into insights that change how we invest.
Responsibilities:
Build, maintain and improve attribution models, and support new attribution model releases.
Develop and refine marketing mix models (MMM) to understand channel contribution and guide budget allocation.
Design and analyze incrementality tests and experiments to measure the true impact of marketing activity.
Deliver regular reporting and deep-dive analysis on channel, campaign and user performance across markets.
Turn findings into clear, actionable recommendations for marketing stakeholders, linked to acquisition cost, client value and revenue.
Define and document marketing metrics and KPIs so the team works from one source of truth.
Improve the measurement inputs that feed our AI-driven budget recommendation and automation systems.
Partner with MarTech, analytics engineering and, increasingly, Product Marketing and CRM teams on shared measurement needs.
Requirements:
3–5 years of experience in marketing analytics, growth analytics or a similar role.
Experience in financial services, such as trading, brokerage, fintech or banking is
a must
.
Hands-on experience with attribution modeling and/or marketing mix modeling.
Strong SQL skills and experience working with large marketing datasets.
Solid understanding of statistics and experimentation, including incrementality testing.
Strong critical thinking: you structure ambiguous problems, challenge assumptions and connect analysis to business impact.
Ability to explain complex findings clearly to non-technical stakeholders.
Nice to have:
Python (or R) for analysis and modeling.
Hands-on experience with Tableau (or a similar BI tool) and analytics platforms like Google Analytics 4.
Experience using AI tools or LLMs for analysis or workflow automation, at work or in your own projects.
What you will get in return:
Competitive Salary
: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
Work-Life Harmony
: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
Annual Performance Bonus
: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance.
Generous Time Off
: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
Employee Referral Program
: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
Comprehensive Health & Pension Benefits
: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
Workation Wonderland
: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
Volunteer Days
: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Location: San Francisco
Asana is hiring a Head of IT Systems Engineering to lead the team that powers how every Asana employee works. Reporting to the Head of IT, this San Francisco-based leader owns the strategy, architecture, and operations behind our SaaS productivity applications, corporate endpoints, identity, and user lifecycle, setting the standards and roadmap that keep every employee secure and productive. You will also influence the way Asana evaluates, adopts, and governs the tools and platforms our employees rely on. You will be responsible for the Client Platform Engineering, Application Engineering, and Identity & Integrations teams, who deliver this work. This role has one manager level report.
You ask good questions, are confident in not knowing everything, and would rather build with others than go it alone. You are crisp and detail oriented, but comfortable working outside the boundaries when the situation calls for it. You bring a proven record of success, a passion for technology, and, like us, you value hard work and fun in equal measure.
This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
What you’ll achieve
Develop the multi-year vision, roadmap, and architecture for Systems Engineering, aligned with Asana’s business priorities and Asana’s broader AI strategy
Accelerate an Agentified Asana, helping teams across Asana embrace our tools and reduce the friction of manual work.
Partner with leaders across Asana to build and maintain an efficient and effective portfolio of SaaS tools to enable all Asanas to do their best work.
Lead, develop, and grow the Client Platform Engineering, Application Engineering, and Identity & Integrations teams, including hiring, performance management, succession planning, and career development
Own the strategy and operation of corporate endpoint management, SaaS application management, identity, and the full user lifecycle
Drive IT’s AI strategy, from evaluating and governing platforms such as Claude, Gemini, and OpenAI to building AI agents and automation for onboarding, access requests, support, and compliance workflows
Partner with Security, Legal, and Privacy to set AI usage policies, data access controls, and vendor risk standards, including identity-based access and data loss prevention for AI tools and integrations
Set client platform standards and drive excellence in system performance, patching, and configuration compliance
Partner with IT Support, IT Infrastructure, and Security leadership to resolve issues, reduce risk, and improve the employee experience
Represent Systems Engineering to senior stakeholders, communicating priorities, tradeoffs, and results clearly
About you
10+ years of IT experience, including 5+ years directly leading teams of systems engineers and software engineers in a fast-paced, cloud-first environment
Proven ownership of purchasing, inventory management, and budgeting at scale
Strong, hands-on knowledge of current IAM practices and cloud-based identity, SSO, SAML, and SCIM
Experience with hosted cloud applications, including Okta, Google Workspace, Asana, Figma, and Slack
Experience establishing governance for emerging technology, including AI usage policy, data protection, and vendor risk review
Track record of setting strategy and roadmaps, then delegating effectively while staying close enough to the details to coach and unblockExperience with configuration management and automation tools such as JAMF, Intune, Puppet, and Munki
Working knowledge of scripting and API integration (REST, OAuth, Python, PowerShell, Bash, or equivalent)
Hands-on experience with enterprise AI platforms such as Claude, and OpenAI, including deployment, administration, and integration through APIs, connectors, and MCP servers
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making
How you work
A strong mix of problem solving and a positive, service-oriented attitude
Excellent communication and documentation skills, with the ability to influence senior stakeholders and cross-functional partners
Curiosity and a bias toward experimenting with AI in your own work, and the ability to lead a team through rapid change
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the estimated base salary range is between $252,000 - $296,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.
#LI-Hybrid #LI-SA
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Location: Amsterdam, Netherlands
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Acts as the senior Rewards Business Partner and connective layer between Nebius' global Rewards operating model and its global Infrastructure organization. Owns delivery of company-wide rewards programs into Infrastructure, ensuring effective execution, adoption, and alignment with global principles, governance, and controls. Brings deep understanding of Infrastructure priorities, talent needs, and external market trends to proactively recommend evidence-based improvements or adaptations. Any changes are developed with global program owners and agreed through established governance, preserving one coherent Nebius operating model.
Key Responsibilities:
Owns end-to-end delivery of Nebius' global rewards programs for Infrastructure, translating enterprise frameworks into clear plans, decisions, communications, and manager actions that work effectively for the organization.
Serves as a trusted advisor to senior Infrastructure leaders, HR Business Partners, and Talent Acquisition, balancing strong advocacy for Infrastructure needs with stewardship of company-wide consistency, fairness, affordability, and governance.
Leads evaluation of new and evolving Infrastructure roles within Nebius' global job architecture, recommending grade, salary range, incentive opportunity, and equity treatment and escalating genuine framework gaps to the relevant global owners.
Leads Infrastructure delivery across merit, bonus, and equity cycles, coordinating global timelines and requirements, guiding leadership calibrations, resolving complex issues, and ensuring accurate, equitable, and on-budget outcomes.
Monitors external market trends and internal Infrastructure workforce data across geographies, roles, pay mix, and incentive practices; identifies emerging gaps and converts the evidence into practical recommendations for global program owners.
Applies Nebius' global equity frameworks across Infrastructure, ensuring consistent treatment while surfacing evidence-based proposals for geographic, performance, or critical-talent differentiation through the appropriate governance channels.
Builds and scales local compensation policies as Infrastructure expands into new countries and regions, ensuring new-market pay practices align with global governance while reflecting local market realities.
Develops executive insights on pay positioning, incentive outcomes, equity value, budget impact, hiring trends, and retention risk, connecting Infrastructure-specific signals to enterprise priorities and clear decisions.
Tracks delivery, adoption, and effectiveness of rewards programs in Infrastructure, identifies structural pay, incentive, compression, or equity risks, and leads corrective action with global program owners and business stakeholders.
Acts as the two-way bridge between Infrastructure and global Rewards: brings business insight into enterprise design, influences priorities and practical adaptations, and translates, supports, and explains global approaches within Infrastructure. Leads manager enablement and guides less experienced rewards professionals.
Requirements:
Extensive progressive experience in compensation or total rewards, including substantial business-partnering experience with Engineering, Infrastructure, or other technical functions in a complex multinational organization.
Advanced, wide-ranging knowledge of base salary, equity programs, market pricing, job evaluation, and annual compensation planning, with depth in technical/infrastructure reward models and international, multi-country pay practices.
Advanced analytical and financial modeling skills, with the ability to evaluate ambiguous variables, assess business and cost implications, and turn complex data into clear executive recommendations.
Demonstrated success influencing and constructively challenging senior stakeholders while balancing business advocacy with enterprise stewardship, global consistency, and sound governance.
Executive-level communication, consulting, and facilitation skills, with the ability to align diverse stakeholders and explain sophisticated rewards concepts with clarity and commercial relevance.
Experience owning delivery of cross-functional rewards programs in a matrixed global model and using compensation, market, and business intelligence tools to drive scalable outcomes.
Experience in a publicly listed, global, fast-growing technology or AI organization preferred; experience guiding other rewards professionals and a Certified Compensation Professional (CCP) designation are advantageous.
#LI-CH1
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Dublin
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
Harvey is looking for a driven, strategic, and entrepreneurial Sales Development Manager to lead and scale our SDR team across EMEA. This will be the first dedicated SDR leadership role in the region, responsible for building a high-performing team that generates pipeline across leading law firms, professional services organizations, and in-house legal teams.
You will own hiring, onboarding, coaching, and performance management while partnering closely with Sales, Marketing, and RevOps to build a scalable pipeline generation engine. You’ll also help shape Harvey’s regional go-to-market strategy by refining targeting, messaging, and outbound programs that resonate with the European legal market.
If you’re excited by the idea of building teams, developing talent, and driving impact at a fast-growing AI company transforming legal work, we’d love to meet you.
WHAT YOU'LL DO
- Own regional pipeline performance: Drive the SDR team’s contribution to pipeline generation across inbound and outbound channels, ensuring strong alignment with EMEA sales targets.
- Build and scale the team: Hire, onboard, and develop a high-performing SDR team, helping establish the structure, operating cadence, and performance standards for the EMEA region.
- Coach and develop SDRs: Deliver hands-on coaching through regular 1:1s, call reviews, and deal strategy sessions to accelerate rep development and performance.
- Design onboarding and enablement: Partner with GTM enablement to create onboarding and ongoing training programs that ramp SDRs quickly and build strong product, industry, and prospecting expertise.
- Partner cross-functionally: Collaborate closely with Sales, Marketing, and RevOps to improve lead routing, campaign effectiveness, and pipeline conversion.
- Refine targeting and messaging: Continuously test and improve outbound strategies, messaging, and account targeting based on ICP fit and performance insights.
- Leverage data and tools: Use platforms such as Salesforce, Salesloft, LinkedIn Sales Navigator, Gong, and ZoomInfo to track team performance and optimize workflows.
- Build a strong team culture: Foster a high-performance culture grounded in ownership, learning, and collaboration.
WHAT YOU HAVE
- 4+ years of experience in SaaS sales or business development, with at least 1–2 years of direct SDR or BDR leadership experience.
- Proven success in building and managing pipeline-generating teams in a high-growth, outbound-focused environment.
- Deep understanding of modern sales development tools (e.g., Salesforce, Salesloft, LinkedIn Sales Navigator, Gong).
- A data-driven mindset with the ability to analyze team performance, uncover insights, and iterate quickly.
- Experience building SDR processes from scratch—comfortable in ambiguity and excited to be the architect of something new.
- A coaching-first leadership style: you invest in people, celebrate wins, and hold high standards with care.
- Excellent communication skills and executive presence—both internally and externally.
- Passion for AI, innovation, and the transformation of knowledge work—especially in professional services and legal.
- Influence tech stack - develop recommendations and drive implementation
- Prior experience selling into legal or professional services firms is a plus but not required.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
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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: Neenah, WI
Lead Estimator - Transmission
Overhead Transmission | Power Delivery | EPC | Utility Infrastructure
Location:
Neenah, WI Preferred | Flexible Within Michels Power Operating Regions
Employment Type:
Full-Time
Travel:
Approximately 25% Travel Required
Build the Projects That Power the Grid
The future of the electric grid depends on the successful delivery of transmission infrastructure that connects power generation, renewable energy resources, substations, and customers across North America. Long before construction begins, successful projects are shaped by accurate estimating, strategic planning, risk evaluation, and strong customer relationships.
As a
Lead Estimator - Transmission
, you will play a critical role in helping Michels Power secure and successfully execute some of the nation's most complex overhead transmission projects. You will provide technical estimating leadership, mentor developing estimators, support major project pursuits, and collaborate with Operations, Procurement, and Project Management teams to develop competitive and executable project strategies.
About Michels Power, Inc.
Michels Power, Inc. supports America's electrical and communication backbone by delivering comprehensive overhead and underground construction services for
69 kV to 765 kV electric utility systems and fiber networks
. As one of the largest private power utility electrical contractors in the United States, Michels Power combines experienced project leadership, highly skilled field resources, and one of the industry's premier equipment fleets to successfully execute complex power delivery projects across North America.
Our teams design, build, and maintain critical infrastructure including
transmission lines, distribution systems, electrical substations, renewable energy facilities, battery energy storage systems (BESS), communication systems, structure foundations, heavy civil infrastructure, and horizontal directional drilling (HDD) projects
. We provide comprehensive project oversight from planning and scheduling through procurement, construction, quality assurance, commissioning, and project closeout.
Leveraging engineering, procurement, and construction (EPC) delivery capabilities, Michels Power is proud to be a member of the Michels Family of Companies.
Position Overview
As a
Lead Estimator - Transmission
, you will lead estimating efforts supporting overhead transmission construction projects across Michels Power's operating regions. You will review bid opportunities, prepare and review estimates, develop pricing strategies, evaluate project risks, coordinate subcontractor and supplier pricing, and support project pursuit efforts from opportunity identification through project award.
This role serves as a senior estimating resource within the organization, providing guidance and mentorship to Estimators while working closely with Estimating Managers, Project Managers, Regional Operations leaders, Procurement personnel, customers, suppliers, and subcontractors.
Success requires strong transmission construction knowledge, commercial awareness, estimating expertise, leadership skills, and the ability to develop accurate, competitive, and executable project estimates.
Key Responsibilities
Lead estimating efforts supporting overhead transmission construction projects.
Assist in the development, training, and mentorship of Estimators and estimating personnel.
Review bid requirements and ensure all project scopes, risks, assumptions, and deliverables are properly documented and captured.
Develop competitive cost estimates that support profitable project execution.
Promote a strong culture of safety, accountability, teamwork, and continuous improvement.
Support the continued growth and success of Michels Power's transmission construction business.
What You'll Do
Review plans, specifications, contracts, bid documents, and customer requirements for transmission construction projects.
Prepare and review detailed quantity takeoffs, labor projections, equipment requirements, subcontractor costs, indirect costs, and material pricing.
Work closely with Procurement to obtain supplier quotations, vendor pricing, and market intelligence.
Analyze project risks, constructability challenges, schedule impacts, labor requirements, and execution strategies.
Develop project schedules, production assumptions, cost forecasts, and pricing strategies.
Participate in site visits, pre-bid meetings, customer meetings, and project reviews.
Facilitate resolution of complex estimating, pricing, scope, and constructability issues.
Support proposal development and bid submission activities.
Review subcontractor proposals and assist with negotiations during the pursuit phase.
Maintain organized estimate documentation, historical cost information, and project records.
Collaborate with Project Management and Operations teams to support successful project turnover and execution.
Work with estimating leadership across Michels Power to develop and implement estimating best practices.
Types of Projects Supported
This role may support estimating efforts involving:
Overhead Transmission Lines
Greenfield Transmission Construction
Transmission Line Rebuilds
Reconductoring Programs
Utility Hardening Initiatives
Grid Modernization Projects
Renewable Energy Interconnections
Transmission Structure Installations
Steel Pole Projects
Lattice Tower Projects
Foundation Construction
EPC Power Delivery Projects
Utility Infrastructure Expansion Programs
Leadership Responsibilities
Mentor and train Estimators and developing estimating professionals.
Share technical estimating knowledge, industry best practices, and construction expertise.
Support workload planning and estimate reviews across the estimating organization.
Promote consistency, accuracy, and quality throughout estimating activities.
Foster collaboration between Estimating, Operations, Procurement, and Project Management teams.
Serve as a trusted resource for complex project pursuits and high-profile opportunities.
Why Michels Power, Inc.?
We help build, strengthen, and modernize the infrastructure that powers communities and industries across North America.
We execute some of the nation's most complex transmission, distribution, substation, renewable energy, and power delivery projects.
We are family owned and operated.
We invest an average of
$5,000 per employee per year
in training and career development.
We perform meaningful work that supports the future of energy infrastructure.
We believe everyone is responsible for promoting safety, regardless of job title.
We are part of the Michels Family of Companies, one of North America's largest and most diversified energy and infrastructure contractors.
We provide opportunities to influence major project pursuits and shape the future growth of our transmission business.
Comprehensive Benefits Package
Health Insurance
Dental Insurance
Life Insurance
Flexible Spending Accounts (FSA)
Health Savings Account (HSA)
Short-Term Disability Insurance
Long-Term Disability Insurance
401(k) Retirement Plan
Legal Plan
Identity Theft Protection and Monitoring Plan
Benefits may vary based on position and location.
Why You?
You like to surround yourself with dedicated, value-driven people.
You relish new challenges and evolving technology.
You cringe when you hear: “Because that's the way we've always done it.”
You like to know your efforts are noticed and appreciated.
You want to make your own decisions, but know support is always available.
You enjoy solving complex technical and commercial challenges.
You thrive when balancing strategy, planning, and execution.
You want to work to make a difference.
What It Takes
10+ years of related estimating, construction, project management, operations, or utility infrastructure experience
, or an equivalent combination of education and experience.
Demonstrated experience estimating or executing
overhead transmission construction projects
.
Strong understanding of transmission construction means and methods, including:
Transmission structures
Steel poles
Lattice towers
Conductor installation
Stringing operations
Foundations
Access roads
Right-of-way construction
Utility infrastructure
Experience reviewing plans, specifications, contracts, and bid documents.
Negotiation and contract review experience.
Experience preparing detailed cost estimates, quantity takeoffs, schedules, labor forecasts, and pricing strategies.
Ability to evaluate project risks, constructability considerations, procurement challenges, and execution strategies.
Experience mentoring, training, or leading estimating personnel.
Utility construction experience preferred.
Project management experience preferred.
Strong Microsoft Office Suite skills.
Experience with estimating software and construction cost management tools preferred.
Strong communication, organizational, analytical, and problem-solving skills.
Valid driver's license with an acceptable driving record.
Ability to travel approximately
25%
for jobsite visits, pre-bid meetings, customer meetings, and preconstruction activities.
Join a company that powers progress. Be a part of Michels Power, Inc.—where you don't just build projects, you build a career.
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AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
ГибридSan Francisco
ГибридLondon
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