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
We're looking for a Lead Product Owner, Finance Systems to own the systems and workflows that power Harvey's finance organization as we scale globally. This role sits at the center of our finance technology portfolio: NetSuite as the ERP core, Zip for procurement intake and approvals, Ramp and Brex for spend and card programs, and Metronome for usage-based billing. You'll help shape the roadmap across that portfolio, prioritize competing demands, and drive changes from discovery through deployment, all in an agile and high-growth environment.
You'll partner closely with Accounting, FP&A, Revenue Operations, Procurement, and Tax, as well as teams across Business Technology (where the Finance Systems team lives) and Security, to translate business needs into scalable, well-governed solutions. This role is as much advisory as it is technical and hands-on: you'll bring thought leadership to the finance org, sit with stakeholders to understand complex and often ambiguous business problems, solution design the tools and automations, and then execute hands-on in the toolstack.
WHAT YOU'LL DO
- Act as the product owner for one or more of Harvey's core finance business process areas (order-to-cash, procure-to-pay, and/or record-to-report), along with the systems that serve them. Run discovery with process owners, define target-state process and system design, own the roadmap, and measure success based on value add output and accuracy.
- Lead the hardest problems in your domain, where there's no established pattern to configure against. That could be international expansion and the entity, currency, tax, and statutory complexity that comes with it, or new product offerings where pricing, billing model, and revenue recognition treatment have to be designed together.
- Develop and maintain a holistic architecture strategy for the finance applications ecosystem: where each system's boundaries sit, how data moves between them, and what Harvey will need short, mid and long term. Work with the owners of adjacent enterprise systems, including Workday and Salesforce, on the integrations and handoffs finance depends on.
- Find manual work and eliminate it, replacing spreadsheets, manual data entry, and email-based approvals with core configuration, automated workflows and integrations. Evaluate new functionality within existing and/or new tooling for best fit at Harvey.
- Configure, maintain, and optimize NetSuite and, dependent on business process ownership determined, own the spend and revenue system workflows that feed the ledger: Zip intake and approvals, Ramp and Brex card programs and expenses, Metronome usage ingestion and downstream invoicing logic, and future tooling for advanced revenue recognition. Understand, advise and execute on data flows, as well as the upstream product and company-wide data sources that revenue reporting depends on.
- Identify, test, and implement practical AI and automation opportunities across the processes you own in a controlled manner, with clear resulting impact of time savings and manual output eliminated.
- Own quality across your applications, ensuring lightweight SDLC to balance accuracy and agility. Partner with leadership to set best practices and serve as the mentor and escalation point for peers across Finance and Business Technology on the portfolio's hardest design questions.
WHAT YOU HAVE
- 7+ years of hands-on experience as a finance systems professional, including 5+ years of direct NetSuite experience with demonstrated complex configuration depth and supporting a global, multi-entity and multi-currency finance organization.
- Product owner or product manager experience in at least one core finance business process area (order-to-cash, procure-to-pay, and/or record-to-report), with extensive depth in that domain: discovery with process owners, target-state process design, proposing tradeoffs or workarounds, and owning a roadmap through delivery. Familiarity with the adjacent areas matters more than equal depth in all three.
- Excellent communication and stakeholder management skills at various levels of the business and technology organizations: adapting how you make a case depending on the audience, building alignment across cross-functional teams, and saying no to a request and explaining why. A track record of mentoring peers, setting technical standards, or being the expert others escalate to on hard problems.
- Demonstrated ability to solve ambiguous, high-stakes process problems without an existing playbook, operating with a high degree of autonomy while knowing when to pull others in on high-impact decisions. Examples include international expansion and multi-entity or multi-currency complexity, or new product offerings where pricing, billing model, and revenue recognition treatment have to be designed together.
- Deep understanding of leading and emerging trends in SaaS finance applications and architecture, including where automation and AI are truly driving innovation.
- Direct experience implementing best practices around change management, regression and UAT planning, segregation of duties, and regulatory requirements, while increasing efficiencies.
COMPENSATION
$175,000 - $225,500 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-RB1]
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
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
We're looking for a Lead Product Owner, Finance Systems to own the systems and workflows that power Harvey's finance organization as we scale globally. This role sits at the center of our finance technology portfolio: NetSuite as the ERP core, Zip for procurement intake and approvals, Ramp and Brex for spend and card programs, and Metronome for usage-based billing. You'll help shape the roadmap across that portfolio, prioritize competing demands, and drive changes from discovery through deployment, all in an agile and high-growth environment.
You'll partner closely with Accounting, FP&A, Revenue Operations, Procurement, and Tax, as well as teams across Business Technology (where the Finance Systems team lives) and Security, to translate business needs into scalable, well-governed solutions. This role is as much advisory as it is technical and hands-on: you'll bring thought leadership to the finance org, sit with stakeholders to understand complex and often ambiguous business problems, solution design the tools and automations, and then execute hands-on in the toolstack.
WHAT YOU'LL DO
- Act as the product owner for one or more of Harvey's core finance business process areas (order-to-cash, procure-to-pay, and/or record-to-report), along with the systems that serve them. Run discovery with process owners, define target-state process and system design, own the roadmap, and measure success based on value add output and accuracy.
- Lead the hardest problems in your domain, where there's no established pattern to configure against. That could be international expansion and the entity, currency, tax, and statutory complexity that comes with it, or new product offerings where pricing, billing model, and revenue recognition treatment have to be designed together.
- Develop and maintain a holistic architecture strategy for the finance applications ecosystem: where each system's boundaries sit, how data moves between them, and what Harvey will need short, mid and long term. Work with the owners of adjacent enterprise systems, including Workday and Salesforce, on the integrations and handoffs finance depends on.
- Find manual work and eliminate it, replacing spreadsheets, manual data entry, and email-based approvals with core configuration, automated workflows and integrations. Evaluate new functionality within existing and/or new tooling for best fit at Harvey.
- Configure, maintain, and optimize NetSuite and, dependent on business process ownership determined, own the spend and revenue system workflows that feed the ledger: Zip intake and approvals, Ramp and Brex card programs and expenses, Metronome usage ingestion and downstream invoicing logic, and future tooling for advanced revenue recognition. Understand, advise and execute on data flows, as well as the upstream product and company-wide data sources that revenue reporting depends on.
- Identify, test, and implement practical AI and automation opportunities across the processes you own in a controlled manner, with clear resulting impact of time savings and manual output eliminated.
- Own quality across your applications, ensuring lightweight SDLC to balance accuracy and agility. Partner with leadership to set best practices and serve as the mentor and escalation point for peers across Finance and Business Technology on the portfolio's hardest design questions.
WHAT YOU HAVE
- 7+ years of hands-on experience as a finance systems professional, including 5+ years of direct NetSuite experience with demonstrated complex configuration depth and supporting a global, multi-entity and multi-currency finance organization.
- Product owner or product manager experience in at least one core finance business process area (order-to-cash, procure-to-pay, and/or record-to-report), with extensive depth in that domain: discovery with process owners, target-state process design, proposing tradeoffs or workarounds, and owning a roadmap through delivery. Familiarity with the adjacent areas matters more than equal depth in all three.
- Excellent communication and stakeholder management skills at various levels of the business and technology organizations: adapting how you make a case depending on the audience, building alignment across cross-functional teams, and saying no to a request and explaining why. A track record of mentoring peers, setting technical standards, or being the expert others escalate to on hard problems.
- Demonstrated ability to solve ambiguous, high-stakes process problems without an existing playbook, operating with a high degree of autonomy while knowing when to pull others in on high-impact decisions. Examples include international expansion and multi-entity or multi-currency complexity, or new product offerings where pricing, billing model, and revenue recognition treatment have to be designed together.
- Deep understanding of leading and emerging trends in SaaS finance applications and architecture, including where automation and AI are truly driving innovation.
- Direct experience implementing best practices around change management, regression and UAT planning, segregation of duties, and regulatory requirements, while increasing efficiencies.
COMPENSATION
$175,000 - $225,500 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-RB1]
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
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
We're looking for a Lead Product Owner, Finance Systems to own the systems and workflows that power Harvey's finance organization as we scale globally. This role sits at the center of our finance technology portfolio: NetSuite as the ERP core, Zip for procurement intake and approvals, Ramp and Brex for spend and card programs, and Metronome for usage-based billing. You'll help shape the roadmap across that portfolio, prioritize competing demands, and drive changes from discovery through deployment, all in an agile and high-growth environment.
You'll partner closely with Accounting, FP&A, Revenue Operations, Procurement, and Tax, as well as teams across Business Technology (where the Finance Systems team lives) and Security, to translate business needs into scalable, well-governed solutions. This role is as much advisory as it is technical and hands-on: you'll bring thought leadership to the finance org, sit with stakeholders to understand complex and often ambiguous business problems, solution design the tools and automations, and then execute hands-on in the toolstack.
WHAT YOU'LL DO
- Act as the product owner for one or more of Harvey's core finance business process areas (order-to-cash, procure-to-pay, and/or record-to-report), along with the systems that serve them. Run discovery with process owners, define target-state process and system design, own the roadmap, and measure success based on value add output and accuracy.
- Lead the hardest problems in your domain, where there's no established pattern to configure against. That could be international expansion and the entity, currency, tax, and statutory complexity that comes with it, or new product offerings where pricing, billing model, and revenue recognition treatment have to be designed together.
- Develop and maintain a holistic architecture strategy for the finance applications ecosystem: where each system's boundaries sit, how data moves between them, and what Harvey will need short, mid and long term. Work with the owners of adjacent enterprise systems, including Workday and Salesforce, on the integrations and handoffs finance depends on.
- Find manual work and eliminate it, replacing spreadsheets, manual data entry, and email-based approvals with core configuration, automated workflows and integrations. Evaluate new functionality within existing and/or new tooling for best fit at Harvey.
- Configure, maintain, and optimize NetSuite and, dependent on business process ownership determined, own the spend and revenue system workflows that feed the ledger: Zip intake and approvals, Ramp and Brex card programs and expenses, Metronome usage ingestion and downstream invoicing logic, and future tooling for advanced revenue recognition. Understand, advise and execute on data flows, as well as the upstream product and company-wide data sources that revenue reporting depends on.
- Identify, test, and implement practical AI and automation opportunities across the processes you own in a controlled manner, with clear resulting impact of time savings and manual output eliminated.
- Own quality across your applications, ensuring lightweight SDLC to balance accuracy and agility. Partner with leadership to set best practices and serve as the mentor and escalation point for peers across Finance and Business Technology on the portfolio's hardest design questions.
WHAT YOU HAVE
- 7+ years of hands-on experience as a finance systems professional, including 5+ years of direct NetSuite experience with demonstrated complex configuration depth and supporting a global, multi-entity and multi-currency finance organization.
- Product owner or product manager experience in at least one core finance business process area (order-to-cash, procure-to-pay, and/or record-to-report), with extensive depth in that domain: discovery with process owners, target-state process design, proposing tradeoffs or workarounds, and owning a roadmap through delivery. Familiarity with the adjacent areas matters more than equal depth in all three.
- Excellent communication and stakeholder management skills at various levels of the business and technology organizations: adapting how you make a case depending on the audience, building alignment across cross-functional teams, and saying no to a request and explaining why. A track record of mentoring peers, setting technical standards, or being the expert others escalate to on hard problems.
- Demonstrated ability to solve ambiguous, high-stakes process problems without an existing playbook, operating with a high degree of autonomy while knowing when to pull others in on high-impact decisions. Examples include international expansion and multi-entity or multi-currency complexity, or new product offerings where pricing, billing model, and revenue recognition treatment have to be designed together.
- Deep understanding of leading and emerging trends in SaaS finance applications and architecture, including where automation and AI are truly driving innovation.
- Direct experience implementing best practices around change management, regression and UAT planning, segregation of duties, and regulatory requirements, while increasing efficiencies.
COMPENSATION
$170,000 - $225,500 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-RB1]
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: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a Staff Software Engineer, Backend to join our Reverse ETL product engineering team.
Formerly Census, we were acquired in May 2025 to augment Fivetran’s warehouse-first data movement product story. Now we’re integrating our entire product directly into the Fivetran dashboard, bringing best-in-class data activation to every Fivetran customer.
As a staff software engineer in Reverse ETL, you’ll be on the front lines of integrating data activation capabilities into the Fivetran product along every dimension – authentication, billing, data model, UI and more. You’ll be a senior member of a distributed, collaborative, agile team of engineers of varying experience levels and diverse backgrounds.
This is a full-time position based out of our Toronto or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration.
Technologies You’ll Use
Expertise in at least one interpreted language such as Python, Ruby on Rails, etc.
Hands-on experience with at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc.
Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus)
Proven experience in system integration, including API consumption and development (experience with infrastructure management is a bonus)
Familiarity with leading cloud providers, such as GCP, AWS, or Azure
Experience being on-call
What You’ll Do
Make contributions to all parts of our tech stack, which comprises Ruby on Rails, Typescript, Vue, and AWS.
Be comfortable “filling in the gaps” in product / design specs. The prospect of being able to prototype to test ideas out before committing to building is exciting to you.
Work closely with our product team, leaders, and customers to help design and develop features that make Fivetran the one-stop shop for data activation.
Mentor early-career engineers, perform thoughtful and constructive code reviews, advise on best practices, provide project-level leadership, operate across teams, departments, and time zones.
Lead major projects, from driving research spikes, to writing and socializing design documents, to planning the implementation and rollout
Skills We’re Looking For
Can build things end-to-end. Our engineers build, deploy and maintain their code.
Is adept with data, backend systems, APIs, and UI components.
Is customer-focused, with an eye for building delightful product experiences and developer experiences.
Approaches new problems with a scrappy optimism, with a bias towards action.
Thrives in ambiguous environments where you get to work directly with customers and make decisions that build trust and have a huge impact on the business.
Present and available online for synchronous and asynchronous collaboration with a team distributed across North America.
Able to work in-person in our Toronto/Oakland office 2 days per week.
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$196,033
—
$245,041.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Argentina Remote
Workplace: Remote
ABOUT THE TEAM
The Platform Engineering team builds the tools and services that accelerate the software development life cycle of the software engineers at Mural.
We work on tools that provide a reliable development environment, on tools to easily test locally and remotely, on integrations with Github and Github Actions, and a few other pieces throughout the many stages in our build, test and release pipelines. Our work is essential to Mural's success, as we maintain the backbone of the platform, enabling seamless user experiences and fostering innovation across the company.
YOUR MISSION
As a Platform Engineer, you will play a crucial role in driving the performance and efficiency of the software development life cycle across the organization. You will be responsible for understanding, maintaining, and evolving existing systems while designing and implementing advanced automation tools and optimized workflows. By enabling developers to build, test, and deploy software rapidly and reliably, your work will directly enhance development cycle performance, boosting productivity and quality across the entire development team. This makes your role essential to Mural's ongoing success.
WHAT YOU'LL DO
- Design, implement and maintain the build infrastructure for a large Typescript and NodeJS codebase
- Collaborate with software developers and platform engineers to define and refine the Continuous Integration and Continuous Delivery processes and its best practices.
- Identify and address bottlenecks, performance issues, and opportunities for automation within the development pipeline in order to speed up the whole development experience.
- Develop and maintain scalable platform features, ensuring the reliability, availability, and scalability of our software delivery processes.
- Care deeply about the problems and needs of our customers, which are all the engineers in the organization, and on training and supporting them to better use the tools we build to improve their quality of life
WHAT YOU'LL BRING
- 5+ years of experience working on the backend, integrations or CI/CD pipelines of a high-performing engineering team
- Experience building reusable components and libraries, with an understanding of scalable architecture.
- Excellent communication skills, with a focus on documenting solutions and providing clear technical guidance
- A strong sense of ownership over critical problem areas
- A thorough understanding of Linux, Docker and CI tools like Github Actions or similar
- Experience in designing, implementing and documenting API services
- Understanding of the NodeJS and Typescript ecosystems, and its automated build and testing tools is a plus
- Kubernetes, Python, Golang, Terraform and Azure Cloud knowledge is another plus
- Experience managing stateful Kubernetes workloads, including operating, scaling, troubleshooting, and improving the reliability of production-grade services
- Comfortable designing and programming custom operators to automate platform workflows, extend infrastructure capabilities, and improve reliability across development and delivery systems
- Experience designing and building AI-powered platform capabilities that improve developer productivity, automate engineering workflows, or enhance CI/CD, observability, testing, and release processes
- A proactive, ownership-driven approach to troubleshooting and supporting critical technical areas
- Experience in making data-driven decisions
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. .
EQUAL OPPORTUNITY
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.
The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:
Environments for Software Engineering / coding agents
UI-Environments for Computer-Use/Browser-Use agents
MCP-based Environments for general function-calling agents across various enterprise and consumer applications
We are seeking
Research Engineers
to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications.
This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
What You’ll Do
1.
Conduct Research on Frontier AI Systems
Investigate the capabilities, limitations, and training methods of frontier AI systems.
Formulate research questions that can inform Turing’s products, platforms, and technical strategy.
Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.
2. Build and Evaluate Research Systems
Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
Train, test, and evaluate models using modern AI and machine learning tools.
Analyze results carefully and draw clear, evidence-based conclusions.
Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation.
Iterate quickly from early hypothesis through validated technical insight.
3. Translate Research into Practical Impact
Collaborate closely with Research, Engineering, Product, and Operations teams.
Translate research findings into improvements for Turing’s products, platforms, and AI capabilities.
Help identify which ideas are ready to move from exploration into scalable, real-world applications.
Communicate technical findings clearly to both specialized and cross-functional audiences.
4. Contribute to the Research Community
Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate.
Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration.
Represent Turing thoughtfully within the broader AI research community.
What We’re Looking For
Research background:
PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered.
Technical depth:
Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling.
Relevant expertise:
Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
Research engineering ability:
Strong programming skills and the ability to implement, test, and iterate quickly in a research environment.
Scientific judgment:
Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
Communication and collaboration:
Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$250,000 to $400,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.
The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:
Environments for Software Engineering / coding agents
UI-Environments for Computer-Use/Browser-Use agents
MCP-based Environments for general function-calling agents across various enterprise and consumer applications
We are seeking
Research Engineers
to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications.
This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
What You’ll Do
1.
Conduct Research on Frontier AI Systems
Investigate the capabilities, limitations, and training methods of frontier AI systems.
Formulate research questions that can inform Turing’s products, platforms, and technical strategy.
Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.
2. Build and Evaluate Research Systems
Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
Train, test, and evaluate models using modern AI and machine learning tools.
Analyze results carefully and draw clear, evidence-based conclusions.
Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation.
Iterate quickly from early hypothesis through validated technical insight.
3. Translate Research into Practical Impact
Collaborate closely with Research, Engineering, Product, and Operations teams.
Translate research findings into improvements for Turing’s products, platforms, and AI capabilities.
Help identify which ideas are ready to move from exploration into scalable, real-world applications.
Communicate technical findings clearly to both specialized and cross-functional audiences.
4. Contribute to the Research Community
Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate.
Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration.
Represent Turing thoughtfully within the broader AI research community.
What We’re Looking For
Research background:
PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered.
Technical depth:
Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling.
Relevant expertise:
Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
Research engineering ability:
Strong programming skills and the ability to implement, test, and iterate quickly in a research environment.
Scientific judgment:
Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
Communication and collaboration:
Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$250,000 to $350,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing is seeking exceptional
Research Scientists
to join our research organization and develop new ways to evaluate, train, and improve frontier AI systems.
This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication.
Our research is deliberately focused on
frontier evaluation, synthetic data, hallucination and reliability, and agentic science
. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.
What You'll Do
Frontier benchmarks and evaluation
Identify high-impact gaps in existing benchmark and evaluation literature.
Design novel benchmarks in and across STEM fields and on general model functionality.
Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks.
Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies.
Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models.
Synthetic data and post-training
Develop methods for generating high-quality synthetic STEM training data.
Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance.
Explore methods for generating useful training signal in domains where expert human data is scarce or expensive.
Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume.
Hallucination, reliability, and verification
Study hallucination, uncertainty, calibration, and epistemic failure in technical domains.
Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention.
Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know.
Agentic science
Research AI systems capable of performing extended scientific and technical work.
Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning.
Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research.
Explore new approaches to human-AI and multi-agent scientific collaboration.
New research directions
The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities.
What We’re Looking For
PhD or equivalent research experience in
machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field
.
Demonstrated ability to formulate and execute original research.
Strong understanding of modern LLMs and the frontier AI research landscape.
Excellent experimental design, quantitative reasoning, and scientific judgment.
Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas.
Strong Python skills and the ability to independently build research prototypes and evaluation pipelines.
Excellent technical writing and communication.
Comfort working in a fast-moving environment where the research agenda evolves with the frontier.
A strong publication record is valuable, but we care most about whether you can
identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter
.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$250,000 to $400,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing is seeking exceptional
Research Scientists
to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems.
This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication.
Our research is deliberately focused on
frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science
. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.
What You'll Do
Frontier benchmarks and evaluation
Identify high-impact gaps in existing benchmark and evaluation literature.
Design novel benchmarks in and across STEM fields and on general model functionality.
Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks.
Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies.
Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models.
Synthetic data and post-training
Develop methods for generating high-quality synthetic STEM training data.
Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance.
Explore methods for generating useful training signal in domains where expert human data is scarce or expensive.
Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume.
Hallucination, reliability, and verification
Study hallucination, uncertainty, calibration, and epistemic failure in technical domains.
Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention.
Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know.
Agentic science
Research AI systems capable of performing extended scientific and technical work.
Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning.
Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research.
Explore new approaches to human-AI and multi-agent scientific collaboration.
New research directions
The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities.
What We’re Looking For
PhD or equivalent research experience in
machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field
.
Demonstrated ability to formulate and execute original research.
Strong understanding of modern LLMs and the frontier AI research landscape.
Excellent experimental design, quantitative reasoning, and scientific judgment.
Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas.
Strong Python skills and the ability to independently build research prototypes and evaluation pipelines.
Excellent technical writing and communication.
Comfort working in a fast-moving environment where the research agenda evolves with the frontier.
A strong publication record is valuable, but we care most about whether you can
identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter
.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$250,000 to $350,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing is seeking exceptional
AI Research Scientists
to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems.
This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication.
Our research is deliberately focused on
frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science
. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them.
What You'll Do
Frontier benchmarks and evaluation
Identify high-impact gaps in existing benchmark and evaluation literature.
Design novel benchmarks in and across STEM fields and on general model functionality.
Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks.
Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies.
Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models.
Synthetic data and post-training
Develop methods for generating high-quality synthetic STEM training data.
Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance.
Explore methods for generating useful training signal in domains where expert human data is scarce or expensive.
Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume.
Hallucination, reliability, and verification
Study hallucination, uncertainty, calibration, and epistemic failure in technical domains.
Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention.
Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know.
Agentic science
Research AI systems capable of performing extended scientific and technical work.
Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning.
Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research.
Explore new approaches to human-AI and multi-agent scientific collaboration.
New research directions
The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities.
What We’re Looking For
PhD or equivalent research experience in
machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field
.
Demonstrated ability to formulate and execute original research.
Strong understanding of modern LLMs and the frontier AI research landscape.
Excellent experimental design, quantitative reasoning, and scientific judgment.
Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas.
Strong Python skills and the ability to independently build research prototypes and evaluation pipelines.
Excellent technical writing and communication.
Comfort working in a fast-moving environment where the research agenda evolves with the frontier.
A strong publication record is valuable, but we care most about whether you can
identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter
.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$150,000 to $300,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: Toronto, Canada
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
We’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
What you will do as a Customer Engineer
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Key Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization.
Minimum Qualifications
Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows.
Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Strongly Preferred Qualifications (The "Good-to-Haves")
Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms.
Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Travel
This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time.
Compensation
This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.
The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:
Environments for Software Engineering / coding agents
UI-Environments for Computer-Use/Browser-Use agents
MCP-based Environments for general function-calling agents across various enterprise and consumer applications
We are seeking
Research Engineers
to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications.
This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
What You’ll Do
1.
Conduct Research on Frontier AI Systems
Investigate the capabilities, limitations, and training methods of frontier AI systems.
Formulate research questions that can inform Turing’s products, platforms, and technical strategy.
Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.
2. Build and Evaluate Research Systems
Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
Train, test, and evaluate models using modern AI and machine learning tools.
Analyze results carefully and draw clear, evidence-based conclusions.
Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation.
Iterate quickly from early hypothesis through validated technical insight.
3. Translate Research into Practical Impact
Collaborate closely with Research, Engineering, Product, and Operations teams.
Translate research findings into improvements for Turing’s products, platforms, and AI capabilities.
Help identify which ideas are ready to move from exploration into scalable, real-world applications.
Communicate technical findings clearly to both specialized and cross-functional audiences.
4. Contribute to the Research Community
Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate.
Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration.
Represent Turing thoughtfully within the broader AI research community.
What We’re Looking For
Research background:
PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered.
Technical depth:
Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling.
Relevant expertise:
Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
Research engineering ability:
Strong programming skills and the ability to implement, test, and iterate quickly in a research environment.
Scientific judgment:
Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
Communication and collaboration:
Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$250,000 to $350,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Chicago, Illinois
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
Implementation is an activity every Fin customer experiences, whether purchasing Fin for the first time, expanding Fin use to a new team, or adopting new features! As a Partner Services Manager at Fin, you’ll share ownership of this crucial process alongside our Service Delivery Partners. Your primary responsibility is ensuring customers implement Fin’s suite of AI tools to solve their most complex problems and ultimately drive incredible value for their business.
Partner Services Managers have an outsized impact on the company. If you want to help make business personal for our customers and you want to work with an ever growing and changing team, you’re in the right place!
What will I be doing?
You will act as the Fin owner of partner-delivered services projects and the liaison who ensures that Services Delivery Partners have a good experience working with Fin
You will onboard and certify new Service Delivery Partners on Fin's product, methodology, and delivery standards, and continually uplevel existing partners as our product and best practices evolve
You will enable partners to facilitate discovery of complex customer objectives and requirements and help translate them to items included in our deployment plans
You will enable partners to execute tailored AI-first customer service strategies based on customer goals and drive product adoption of our AI features
You will work closely with our Partners to help drive success by exceeding portfolio KPIs (Partner CSAT, Fin Outcomes, Escalation Rate, and Project Management Compliance)
You will own escalation and risk communication for at-risk projects — driving intervention and solutions while keeping Deployment Services and Sales leadership informed of status and path to resolution
You will drive the overall efficiency of our Services Delivery Partner operations
You will partner with the rest of the Deployment Services team, the Sales team, and the Customer Success team to deliver the best possible experience for new clients
You’ll collaborate with our Customer Support and R&D teams to help coordinate resolution of issues, potential defects, and provide detailed product feedback around feature enhancements
You will drive a Quarterly Business Review with each service partner to ensure we are tracking towards stated goals
What skills do I need?
6+ years of work experience, with 4+ year(s) in an Implementation Manager role
Technical Fluency: comfortable with core SaaS and AI concepts (APIs, integrations, LLM basics, automation logic) — enough to speak credibly with technical partner teams
Positivity and Engagement: A genuine interest in the work you do and a positive attitude!
Curiosity: a passion for learning, for technology, and for solving problems
Training: the ability to make complex topics simple to understand
Rapport Building: comfortable working with customers and consultants via video calls
Adaptability: change is constant and the Deployment Services Team values experimentation to find the best processes and solutions
Demonstrate the Fin Values: Customer Obsessed, Success First, Incredibly High Standards, Open Mindedness, Resilience, Impatience, Positive and Optimistic
Bonus skills & attributes
Experience training on SaaS products or specifically, experience with Fin
Experience with AI Agents and / or Large Language Models
Past experience managing projects delivered by Consulting Firms
Past experience in Customer Success, Support, Sales Engineering, Consulting
Great examples of self started projects with measurable success
Experience with RESTful API Integrations
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the Greater Chicago Area is $139,300-$166,400. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: San Francisco, California
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
Implementation is an activity every Fin customer experiences, whether purchasing Fin for the first time, expanding Fin use to a new team, or adopting new features! As a Partner Services Manager at Fin, you’ll share ownership of this crucial process alongside our Service Delivery Partners. Your primary responsibility is ensuring customers implement Fin’s suite of AI tools to solve their most complex problems and ultimately drive incredible value for their business.
Partner Services Managers have an outsized impact on the company. If you want to help make business personal for our customers and you want to work with an ever growing and changing team, you’re in the right place!
What will I be doing?
You will act as the Fin owner of partner-delivered services projects and the liaison who ensures that Services Delivery Partners have a good experience working with Fin
You will onboard and certify new Service Delivery Partners on Fin's product, methodology, and delivery standards, and continually uplevel existing partners as our product and best practices evolve
You will enable partners to facilitate discovery of complex customer objectives and requirements and help translate them to items included in our deployment plans
You will enable partners to execute tailored AI-first customer service strategies based on customer goals and drive product adoption of our AI features
You will work closely with our Partners to help drive success by exceeding portfolio KPIs (Partner CSAT, Fin Outcomes, Escalation Rate, and Project Management Compliance)
You will own escalation and risk communication for at-risk projects — driving intervention and solutions while keeping Deployment Services and Sales leadership informed of status and path to resolution
You will drive the overall efficiency of our Services Delivery Partner operations
You will partner with the rest of the Deployment Services team, the Sales team, and the Customer Success team to deliver the best possible experience for new clients
You’ll collaborate with our Customer Support and R&D teams to help coordinate resolution of issues, potential defects, and provide detailed product feedback around feature enhancements
You will drive a Quarterly Business Review with each service partner to ensure we are tracking towards stated goals
What skills do I need?
6+ years of work experience, with 4+ year(s) in an Implementation Manager role
Technical Fluency: comfortable with core SaaS and AI concepts (APIs, integrations, LLM basics, automation logic) — enough to speak credibly with technical partner teams
Positivity and Engagement: A genuine interest in the work you do and a positive attitude!
Curiosity: a passion for learning, for technology, and for solving problems
Training: the ability to make complex topics simple to understand
Rapport Building: comfortable working with customers and consultants via video calls
Adaptability: change is constant and the Deployment Services Team values experimentation to find the best processes and solutions
Demonstrate the Fin Values: Customer Obsessed, Success First, Incredibly High Standards, Open Mindedness, Resilience, Impatience, Positive and Optimistic
Bonus skills & attributes
Experience training on SaaS products or specifically, experience with Fin
Experience with AI Agents and / or Large Language Models
Past experience managing projects delivered by Consulting Firms
Past experience in Customer Success, Support, Sales Engineering, Consulting
Great examples of self started projects with measurable success
Experience with RESTful API Integrations
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the San Francisco Bay Area is $154,800-$184,900. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
General Information
Location: Remote.
Talents from the USA or Canada.
French/English bilingual candidates are preferred for the Montreal hub.
Overlap: 6hs with East Coast time zone, USA
Commitment: full-time
Length: 12+ month
Required Skills:
— 6–10 years of Salesforce administration and development experience with platform ownership responsibilities
— Expert-level Salesforce Flow experience
— Solid hands-on experience with Apex and Lightning Web Components (LWC)
— Experience with Salesforce Experience Cloud and Service Cloud
— Strong Salesforce release management experience
— Experience with CI/CD for Salesforce environments
— Strong knowledge of Salesforce security, sharing, permissions, and platform governance
— Experience defining and enforcing coding and configuration standards through hands-on pull request reviews
— Experience managing production Salesforce environments, including releases, sandbox strategy, backup, and recovery
— Experience designing reusable Flow, LWC, and integration patterns for development teams
— Experience leading or supporting P1 production incident response
— Hands-on experience using AI coding copilots and agents in Salesforce development workflows
— Experience with Salesforce metadata automation, test generation, org discovery, and AI-assisted pull request review
— Ability to validate AI-generated code and automation before production deployment
Optional Skills (not mandatory):
— French and English bilingual proficiency
— Salesforce Administrator certification
— Salesforce Platform App Builder certification
— Salesforce Platform Developer certification
— Bachelor’s degree or equivalent experience
Deliverables:
— Own the Salesforce production environment, including releases, security, sandbox strategy, backup, and recovery
— Define Salesforce coding and configuration standards and participate directly in pull request reviews
— Build reusable reference patterns for Salesforce Flow, LWC, and integrations
— Lead P1 incident response, including triage, remediation, and pairing with engineers on fixes
— Drive a release cadence of two weeks or less in collaboration with QA and product stakeholders
— Allocate and manage ongoing technical-debt capacity, targeting approximately 10–30% of engineering capacity
— Own the AI-assisted Salesforce development toolchain, including coding copilots, test generation, org discovery agents, and pull request pre-review
— Measure developer effective capacity when using AI-assisted workflows and identify friction caused by manual delivery processes
— Automate operational runbooks and release-note generation while maintaining human approval for production-risk decisions
— Use AI copilots and agents daily to accelerate discovery, development, testing, and documentation while remaining accountable for production decisions
Location: Vilnius
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Boston Office
Workplace: Hybrid
OUR STORY
Pointr is the market leader in Indoor Mapping, Location and Analytics, and the inventor of AI-based map production. Its innovative (20+ patents) Pointr Maps™ platform is used by millions of users across offices, retail locations, airports, hospitals, and more every month.
As the top choice of Fortune 100 customers and billions of sqft. deployed globally (30+ countries), Pointr is always on the lookout for great team members to support its fast growth. Our core values are Ownership, Harmony, and Scale, and we look for Passionate, Kind, and No-Ego team members to join the team.
ROLE OVERVIEW
Technical Project Managers (TPMs) are the engine that drives our clients’ success. They are adept communicators with strong technical knowledge and a knack for problem-solving.
At Pointr, we empower TPMs to partner with clients and internal teams to deliver premier indoor technology solutions. To that end, they are comfortable operating in a flat, fast-paced organization and are energized by leveraging cutting-edge technology to create the future of indoor experiences.
At its core, this role requires the TPM to combine tactical execution skills with strategic expertise to lead cross-functional teams through multiple, often concurrent project lifecycles.
As the Sr. TPM for Healthcare, this person operates as a player-coach: they own delivery for their own healthcare projects and programs end-to-end, including large, multi-site, multi-customer programs, while also serving as the strategic lead for the vertical.
As the strategic lead, this person sets priorities across the portfolio of healthcare vertical projects based on project needs and client value, standardizes delivery processes for the vertical, and works closely with the account owners and delivery team leads to track resource availability and effectiveness. Other TPMs rotate onto healthcare projects as volume requires, and are coordinated by the Sr. TPM.
Oversee program focused on delivery of all projects for our aggressively growing health care vertical; managing and reviewing project needs, client value, and determining priority across all projects for the health care vertical. Standardize and
work closely with the account owner, and the delivery team leads to track resource availability and effectiveness.
Track and report on resource utilization and limitations, escalating for resolution.
CORE RESPONSIBILITIES
- Own requirements gathering, project planning, implementation, and deployment support for our global clients and partners, ensuring timely, efficient delivery and high levels of customer satisfaction.
- Work with client and delivery team members to rapidly and accurately deliver Pointr products and services.
- Review and identify Delivery Organization process improvements focusing on shortening the effort and duration of delivery activities.
- Work with clients to identify and resolve mapping and wayfinding issues. Coordinate and solve these issues working closely with technical teams.
- Develop broad understanding of Pointr products, enabling an increasing ability to provide direct support and problem resolution to map, wayfinding, and integration solutions.
- Proactively partner with commercial and technical stakeholders, regularly educating them on Pointr’s solutions and deployment process while serving as a key partner to their success
- Closely collaborate with developers, designers, and deployment managers to integrate Pointr’s suite of technology with client applications
- Investigate and diagnose hardware and software challenges alongside Pointr’s delivery teams to ensure solution quality and sustainability
- Facilitate client status meetings to manage the scope and schedule of multiple, often concurrent deployments
- Learn! Master Pointr’s product suite to better understand how clients can use our technology and in turn supplement our product roadmap
- Engage in proactive and timely communication that consistently impresses our clients.
- Set priority across all healthcare vertical projects based on project needs, client value, and delivery capacity.
- Coordinate and support other TPMs rotating onto healthcare projects as volume requires.
- Standardize delivery processes across the healthcare vertical, in partnership with the account owner and delivery team leads.
- Track and report on resource utilization and limitations across the portfolio, escalating for resolution.
- Partner with hospital IT, network, and facilities teams; support EHR integration work (Epic in particular), RTLS, and patient experience initiatives.
- Build and maintain relationships with client-side executives across the healthcare portfolio.
MINIMUM QUALIFICATIONS
- 10+ years of IT project management or technical consultancy experience in a hardware or software company
- 5+ years leading programs supporting multiple client implementations simultaneously, successfully, at speed.
- 3+ years of experience working in the health care industry with hands-on exposure to health IT, EHR integration (Epic in particular), RTLS, hospital facilities operations, patient experience initiatives, or hospital network teams.
- Demonstrated ability to move in a fast-paced environment, learning on the job while juggling multiple deliveries.
- Experience leading the delivery and support phases of the customer lifecycle.
- A self-starter by nature with applied knowledge of agile software development processes and a strong interest in learning about indoor location technology
- Like us, you're a high-performer with an exceptional record of getting things done in a fast-paced, analytical environment
- Strong interpersonal skills, with the ability to solve problems and foster relationships with technical and commercial stakeholders
- Process-oriented with an eye for detail and improvements
- Experience managing or mentoring other project or program managers in a matrixed or player-coach capacity.
- Experience delivering large-scale, multi-site, or multi-customer programs.
PREFERRED QUALIFICATIONS
- BS or MS degree in a relevant technology or management field (Computer Science is a plus)
- Experience with project management tools (Jira, Smartsheet, Google Suite, MS Office, MS Project)
- Project Management Professional® (PMP) / Certified ScrumMaster® (CSM) certifications preferred
WHAT WE OFFER?
- Supportive, kind (no-ego), and smart team
- Hybrid work (2 days being in the office is required)
- International environment and inclusive culture
- Competitive base salary and attractive stock options
- Cool and comfortable office in Boston (Back Bay) or access to WeWork in other locations
- Private health care (75%) and Dental
- Company-sponsored parental leave
- 18 days PTO, plus sick time + 12 holidays per year
- 401(k) retirement scheme
COMPENSATION
Base salary range: $150,000 - $165,000 + bonus, based on experience and market. Total compensation also includes stock options and benefits: medical/dental, 401(k), 18 days PTO + sick time + 12 holidays, and paid parental leave.
#LI-HYBRID
Do Not Meet Every Requirement? Apply anyway. We are not looking for perfect resumes. We are looking for the right teammate who is excited to contribute to our mission and grow with us.
WE SUCCEED TOGETHER
Great outcomes happen when talented, diverse people come together with a shared purpose. We value empathy, humility, and expertise, and we believe the best ideas come from collaboration, thoughtful challenges, and open feedback.
We empower our teams with clear goals and ownership, creating an environment where everyone can contribute, grow, and succeed. We take responsibility for our individual and collective development, celebrate our progress, learn from our experiences, and recognize the impact we create together.
We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do.
We are committed to providing an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or recruiting process, please reach out to your recruiter or contact our team at hiring@pointr.tech hiring@pointr.tech.
A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS
While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team.
On our end, we utilize a platform called Granola as a notetaker and review tool to ensure a fair and transparent hiring process.
Beware of scammers! All legitimate communication from Pointr regarding your application will come directly from an @pointr.tech http://pointr.tech email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.
Location: Poland
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat.
What You Will Be Doing
Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle.
Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts.
Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production.
Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred.
Who You Are
At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI).
Strong in SQL and Python, and with cloud data platforms (e.g. Databricks).
Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity.
Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus.
Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting.
A quantitative education (math, engineering, economics, or CS) and full working proficiency in English.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
leadNew York
leadSan Francisco
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Oakland, California, United States; Mentor early-career engineers, perform thoughtful and constructive code reviews, advise on best practices, provide project-level leadership, operate across teams, departments, and time zones
УдалённоГеография найма не уточнена
United States; For applicants from the European Union, please review
seniorUnited States; For applicants from the European Union, please review
United States; For applicants from the European Union, please review
seniorUnited States; For applicants from the European Union, please review
United States; For applicants from the European Union, please review
География найма не уточнена
seniorUnited States; For applicants from the European Union, please review
seniorChicago, Illinois
seniorSan Francisco, California
УдалённоleadOverlap: 6hs with East Coast time zone, USA
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