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: Clarksville, TN
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
$67,000 Annually
Responsibilities:
'• Designs and revises for OQC inspections and new model test manuals
Decides the shipment of products to check OQC inspection results
Decides the new model approvals to check DQA inspection results
Collects and analyzes production samples to evaluate quality
Analyzes quality control test results and provides feedback and interpretations to production management or staff
Stops production if serious product defects are present
Monitors performance of quality control systems to ensure effectiveness and efficiency
Qualifications:
-• 2+ years of outgoing quality assurance experience
2+ year of development quality assurance experience
CQE(Certified Quality Engineer),CRE (Certified Reliability Engineer), 6 Sigma Belt preferred
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
Location: Berlin, Germany
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
At Figma, we're building a vibrant community where designers and product builders come together to learn, grow, and connect around their shared passion. Our Advocacy team is central to this mission—empowering our users through engaging content, meaningful interactions, and genuine advocacy.
We're looking for a Designer Advocate to partner closely with our Marketing, Sales, and Product teams. You'll bring deep design expertise, strong product intuition, and a genuine love for the design community into our go-to-market strategies. You'll also champion our users' voices internally, ensuring their perspectives shape our product evolution.
You'll be covering the DACH region, where our main languages are German and Polish. Being fluent in either/both of these languages is pretty much a plus!
This is a full time, hybrid role based out of our Berlin hub.
What you'll do at Figma:
Empower users at scale: Collaborate closely with Sales and Customer Experience teams to help customers unlock the full potential of Figma across real product workflows
Create compelling content: Develop written, visual, and video resources that reflect how modern teams actually design and build, from early exploration to production-ready systems
Inspire community connections: Foster meaningful relationships within the Figma community, identify collaboration opportunities, and nurture user-driven initiatives
Speak and engage at events: Regularly present at industry meetups, conferences, and community events, sharing practical insights from real-world design work
Champion user voices: Stay attuned to community feedback, sentiment, and emerging design trends—advocating internally to inform product decisions and improvements
We'd love to hear from you if you have:
Deep, hands-on Figma expertise and an entrepreneurial drive, with experience embedding Figma in real product teams and taking ideas from early exploration to polished, impactful outcomes
A thorough understanding of modern product design workflows, development environments, design systems, tokens, and AI-assisted design or prototyping
Strong technical design skills, including experience working alongside developers or building tools that support design systems, and an understanding of how design decisions translate into development at scale
Clear, compelling communication skills, with the confidence to explain complex workflows and systems, speak publicly, and engage large audiences
A passion for contributing to the design community and a willingness to travel up to 25% of the time to connect with it in person
While it's not required, it's an added plus if you also have:
Fluency in German or Polish
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Video is one of the most powerful ways we bring the Figma brand to life, and we are building the function to match that ambition. As a Video Strategist, you will define what video does for this brand and build the operation that delivers it: the strategy, the franchises people come back for, the production model behind them, and eventually the team that runs it all. You will sit within Brand Marketing and partner closely with design, creative, comms, product marketing, community, and advocacy to turn complex product and customer stories into work people want to watch and share.
This is a rare combination. Figma is a beloved brand with a creative community that already wants to hear from us, and a video function that is still yours to build.
This is a full time role based in San Francisco or New York hub, or remotely in the United States.
What you’ll do at Figma:
Set the strategy: Define the role video plays across brand, social, editorial, product launch, community, and event moments. Own the format architecture and the prioritization framework that decides what we make and what we pass on
Build franchises: Create and run a portfolio of recurring video programs that compound audience over time, alongside the campaign and launch work. Own the development pipeline for new formats and the call to renew, evolve, or retire a series
Build the engine: Decide what we produce in-house, what goes to agencies and directors, and what we source from creators, with the economics behind each. Own the video budget and vendor relationships, and build the standards we are missing today around briefing, review, rights, and asset reuse
Lead the craft: Set and hold the quality bar for video made anywhere under the Figma brand. Write and approve briefs, run creative reviews, and enable cross-functional teams producing their own video with guardrails and coaching rather than gatekeeping
Measure what matters: Partner with our Brand Marketing Technologist to define what good looks like for each format and franchise, instrument it, and report it in a way that changes what we make next
Grow the team: Lead, hire, and develop the video team and the external bench, and make the case for the resourcing the strategy requires
We'd love to hear from you if you have:
10+ years across video, brand storytelling, editorial, content strategy, or production leadership, including several years leading a video function or team
A track record creating and running recurring video franchises that outlasted a single season and grew an audience
Experience owning a production model end to end: the in-house versus agency versus creator call, a real budget, and the partner relationships behind it
People leadership. You have hired, developed, and given hard feedback to producers, editors, or an external bench
Fluency across the format spectrum, from social-first short-form to long-form storytelling, launch films, and customer narratives, with clear opinions on what each format is good for
The ability to set a creative bar for work made by people who do not report to you, and to hold it without becoming the bottleneck
Comfort as the video voice in rooms with senior stakeholders, including the judgment to disagree productively and the measurement literacy to defend your decisions
While it’s not required, it’s an added plus if you also have:
Hands-on editing or motion graphics ability. We are not hiring you to sit on a timeline, but craft fluency sharpens judgment and helps you move fast
Experience with live event and conference content at scale
Familiarity with music licensing, talent releases, and usage rights at volume
Experience building creator and influencer partnerships
Experience scaling video inside a company going through rapid growth or a brand evolution
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$153,000
—
$269,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: 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: Canada Remote
Workplace: Remote
ABOUT THE TEAM
At Mural, we're changing how teams collaborate, think, and make decisions together. The Growth & Engagement team helps customers discover value through intuitive product experiences, rapid experimentation, and emerging AI capabilities that make collaboration more effective. We own key parts of the customer journey - from acquisition and onboarding to activation, engagement, retention, and monetization - and use data, experimentation, and customer insights to continuously improve those experiences.
We're a cross-functional team of engineers, product managers, designers, and data partners who move quickly, measure outcomes, and learn from every experiment. We value curiosity, collaboration, and thoughtful technical craftsmanship, building systems that enable rapid iteration while maintaining a high bar for quality, reliability, and scalability.
YOUR MISSION
As a Senior Software Engineer on the Growth & Engagement team, you'll build the products, platforms, and experimentation capabilities that help customers discover value faster and achieve more with our product. You'll partner closely with Product, Design, Data, and other Engineering teams to identify opportunities, validate ideas through experimentation, and deliver experiences that improve customer outcomes and drive sustainable business growth.
Beyond shipping features, you'll help shape the technical direction of the team, mentor other engineers, and establish engineering practices that enable us to experiment confidently and move quickly.
WHAT YOU'LL DO
- Design, build, and maintain customer-facing features that improve acquisition, activation, engagement, retention, and monetization.
- Collaborate closely with Product, Design, Data, Marketing, and Customer Success to identify growth opportunities and translate customer feedback, product analytics, and experimentation to guide product decisions.
- Design, implement, and analyze experiments using feature flags, A/B testing, and analytics to validate hypotheses and measure customer and business impact.
- Build reliable instrumentation and event pipelines that help teams understand customer behavior and make informed product decisions.
- Write high-quality, maintainable code while contributing to architecture, technical design, and long-term platform improvements.
- Improve the performance, reliability, accessibility, and scalability of critical user journeys.
- Mentor teammates through technical leadership, code reviews, design discussions, and knowledge sharing.
- Contribute to roadmap planning, technical strategy, and continuous improvement of the team's engineering practices.
WHAT YOU'LL BRING
- 5+ years of professional experience as a Software Engineer building and operating production software.
- Strong proficiency building modern web applications. Experience with TypeScript, React, Node.js, and MongoDB or similar technologies, with the ability to become productive quickly.
- Familiarity with Model Context Protocol (MCP) and the broader AI tooling ecosystem and the ability to quickly learn emerging AI technologies.
- Experience leveraging AI-assisted development tools and workflows to improve engineering productivity, code quality, and delivery.
- Experience building customer-facing products in close partnership with Product and Design teams.
- A product mindset with the ability to balance customer needs, technical tradeoffs, and business goals.
- Experience using analytics and data to inform engineering and product decisions.
- Strong software engineering fundamentals, including system design, testing, observability, and operational excellence.
- Excellent communication and collaboration skills, with the ability to influence technical decisions across cross-functional teams.
- A track record of taking ownership of ambiguous problems, driving projects from concept to delivery, and mentoring other engineers.
- Experience working on a Growth/Engagement team or in a product engineering role focused on experimentation and customer lifecycle improvements.
- Experience working with business metrics such as activation, engagement, retention, conversion, and monetization to inform product and engineering decisions.
- Experience designing, implementing, or analyzing product experiments (A/B testing, feature flagging, or similar experimentation frameworks).
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: 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 Locations: London, the UK
About the role
What you'll do
Sales Outcome Ownership
Identify and close productivity gaps by cohort; measure success by deal velocity, win rate, and quota attainment, not completion rates
Own 90/180-day new hire outcomes using data and field observation
Support competitive deal reviews; help create structure and tools for improvements
Design repetitive solutions starting from ad-hoc micro-interventions (30-day improvement plans, peer coaching) in addition to broad programs
Onboarding & Methodology
Redesign and operate with AI regional onboarding with structured curriculum (MEDDPICC, SFDC, competitive positioning) plus embedded field support
Master MEDDPICC; audit discovery quality and coach on methodology adoption
Work with managers in 1:1s to diagnose rep-specific barriers and enable managers to coach their teams
Program Management and AI-native operating model
Manage regional onboarding timelines and content rollouts
Partner with other GEO enablement
Act as regional lead for EMEA content on the enablement platform: you are accountable for accuracy and regional relevance of what reps are served, including AI-generated material.
Use AI to draft, adapt, translate, and localise enablement at speed
Turn recurring questions and objections into durable, reusable assets
Desirable Skills, Knowledge, and Experience:
5-7 years sales enablement focused on field rep coaching and behavior change
Direct enterprise sales experience; complex multi-stakeholder deals
Proven track record diagnosing and closing rep skill gaps
MEDDPICC or equivalent sales methodology mastery
SFDC and AI fluency: comfortable pulling reports and modelling productivity signals
Strong program management and stakeholder communication skills
Preferred Qualifications
Sales manager coaching and 1:1 development experience
Competitive win/loss analysis and field ride-along experience
Productivity metrics and quota attainment analysis
GTM or sales operations partnership in high-growth SaaS background
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 Kingdom (Hybrid)
Workplace: Hybrid
Most money apps talk at you. Cleo talks back ✨
We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance.
The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money.
We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in.
Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥
MEET THE TEAM 👥
Here at Cleo we have team of ~135 member in our Credit Pillar. This function brings together several specialisms, all working toward managing portfolio performance; designing the systems, models, and controls that make lending sustainable. They drive to build and grow a portfolio of responsible EWA & Pay Later products that can scale across markets while protecting users from high cost debt trap.
ABOUT THE ROLE ✍️
We’re hiring a hands-on Lead Product Manager to drive Cleo’s Credit products forward. You’ll lead a cross-functional squad to uncover customer needs, shape bold new product directions, and turn early-stage ideas into compelling, testable experiences for one of Cleo’s most important product areas.
Key responsibilities
- Identify high-potential product opportunities through customer insight, market understanding, and Cleo’s unique strengths.
- Lead early-stage ideation, prototyping, and lean research to validate concepts and reduce uncertainty quickly.
- Bring your squad together around a clear product vision, translating it into polished, high-quality experiences with Design and Engineering.
- Partner with cross-functional stakeholders to shape product direction and solve complex customer problems.
- Build persuasive narratives and data-informed business cases that communicate the value of new ideas and drive decisions.
WHAT WE'RE LOOKING FOR 🕵️
- You should ideally have several years of relevant experience and passion for credit focused work at a senior level
- Experience in consumer-facing fintech or personal finance products
- You can share mobile app product work that demonstrates a proven record of driving high-quality execution in high-growth, fast-paced, product-led businesses
- You are strongly outcome-focused, balancing business goals and user needs through small, rapid, experiment-led product improvements
- You thrive on getting deep into the data and the details to optimise existing features and journeys
- You are a proactive problem solver who can effectively bring structure to large or ambiguous problems to generate buy-in from stakeholders
- You are a strong cross-functional collaborator who can partner successfully with tech and marketing stakeholders to deliver bottom line impact on growth
WHAT WE OFFER
We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements.
For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈
WHAT MATTERS
Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits.
We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know.
We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!
Location: Annapolis, MD
Position Objective:
Responsible for all phases of Surgical Supply Chain Distribution activities including, inventory control, case cart preparation and supply distribution. Monitors and maintains surgical unit supply and patient equipment par levels to ensure that the evolving needs of staff and patients are met.
Essential Job Duties:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Prepares daily case carts for surgical areas.
Reports supplies and/or equipment outages to the appropriate coordinator for action; Processes supply returns to ensure accurate inventory levels; Processes requisitions for non-stock supplies.
Checks sterilization expiration dates and rotates stock of med/surgical supplies on a regular basis. Removes outdated supplies according to established procedure.
Performs periodic analysis of usage patterns and makes recommendations to appropriate personnel regarding standardization and usage.
Responsible for maintaining assigned inventory locations and consignment supplies; Coordinates and communicates loaner equipment and technical support when necessary
Assist in breaking down the case carts in the decontamination as needed
Assist with emptying all washers and putting away the instruments trays according to the service line
Assist with emptying the sterilization rack
Assist with cleaning the case carts through the cart washers
Educational/Experience Requirements:
High School Diploma or equivalent required
Required License/Certifications:
N/A
Working Conditions, Equipment, Physical Demands:
There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens.
Physical Demands -
The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act.
The above job description is an overview of the functions and requirements for this position. This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary.
Pay Range
$17.50
—
$20.10 USD
Luminis Health Benefits Overview:
• Medical, Dental, and Vision Insurance
• Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year)
• Paid Time Off
• Tuition Assistance Benefits
• Employee Referral Bonus Program
• Paid Holidays, Disability, and Life/AD&D for full-time employees
• Wellness Programs
• Employee Assistance Programs and more
*Benefit offerings based on employment status
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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.
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
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