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.
About the Role
Turing is looking for a high-caliber Product Manager to lead critical product areas across our talent, marketplace, vetting, and platform ecosystem. This person will step into a high-ownership role and should be able to combine strong product judgment, design taste, data-driven decision making, technical fluency, and structured business thinking.
This role is ideal for someone who can operate at the intersection of user experience, systems thinking, analytics, and execution — someone who is equally comfortable shaping product direction, defining elegant user experiences, and driving cross-functional delivery in a fast-moving environment.
Why this role matters
Turing works with many of the world’s leading AI labs and enterprises to help build, improve, and scale advanced AI systems. We sit at the intersection of frontier AI, high-quality talent, and complex product/platform workflows - which means the problems here are real, hard, and highly consequential.
This role sits at the core of how Turing builds scalable, high-quality experiences across talent and customer workflows. The right person will help raise the bar on product execution, clarity of thinking, and quality of experience across the organization.
What you’ll own
You will lead product strategy and execution across some of Turing’s most important platform surfaces, including areas such as:
- Talent discovery, search, and matching
- Talent onboarding and profile quality
- Vetting, trust, and integrity systems
- Marketplace workflows and hiring manager experience
- Internal platforms and operational tooling
- Cross-functional product initiatives spanning product, engineering, design, data, and operations
What you’ll do
- Own roadmap, prioritization, and execution for a core product area
- Translate ambiguous business problems into structured product plans, clear requirements, and strong execution
- Drive product development with a sharp eye for user experience, workflow design, and quality
- Use data deeply to identify opportunities, diagnose issues, prioritize investments, and measure impact
- Partner closely with engineering, design, data, QA, and operations to ship high-quality products quickly
- Balance short-term execution with long-term product and platform thinking
- Build scalable systems and experiences, not just one-off features
- Communicate clearly with senior stakeholders and drive alignment across teams with competing priorities
What we’re looking for
- 2+ years of product management experience
- 2+ years of prior software engineering, Data Science, or Design experience
- Strong product sense with excellent design and UX judgment
- Highly data-driven, with the ability to use metrics, experimentation, and user insights to drive decisions
- Strong technical fluency and ability to work closely with engineering on architecture, tradeoffs, and execution
- Excellent written and verbal communication
- Strong structured thinking and ability to bring clarity to ambiguous, cross-functional problems
- High ownership, urgency, and a strong bias for execution
Preferred qualifications
- Bachelor’s degree in Computer Science, Engineering, Design, or a similarly rigorous discipline, ideally from a top-tier institution such as IIT or equivalent globally recognized universities
- MBA from a top-tier university is a plus, but not required
- Experience working on B2B SaaS, marketplace, platform, workflow, onboarding, trust/safety, search, matching, or AI-enabled products
- Strong track record of partnering closely with engineering and design teams to ship polished, high-quality user experiences
Ideal candidate profile
The ideal candidate brings a rare combination of:
- Strong product judgment
- Sharp design instinct and high-quality bar
- Deep data-driven decision making
- Technical grounding from prior engineering experience
- Structured business thinking
- Strong stakeholder management and executive communication
- They should be able to look at a messy problem, identify the highest-leverage opportunity, craft an elegant user experience, back decisions with data, and drive execution end to end.
- 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.
- 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.
Skills Required
- 2+ years of product management experience
- 2+ years of prior software engineering, data science, or design experience
- Strong product sense with excellent design and UX judgment
- Ability to use metrics, experimentation, and user insights to drive decisions
- Strong technical fluency and ability to work with engineering on architecture, tradeoffs, and execution
- Excellent written and verbal communication
- Strong structured thinking for ambiguous, cross-functional problems
- High ownership, urgency, and bias for execution
- Bachelor's degree in Computer Science, Engineering, Design, or a similarly rigorous discipline
- MBA from a top-tier university
- Experience with B2B SaaS, marketplaces, platforms, workflows, onboarding, trust and safety, search, matching, or AI-enabled products
- Track record of partnering with engineering and design teams to ship polished user experiences
Turing Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Turing and has not been reviewed or approved by Turing.
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Fair & Transparent Compensation — Feedback suggests USD-denominated pay and access to higher-paying clients can outpace local benchmarks for many non‑U.S. developers. Payout timing and processing are described as predictable once engagements begin, which supports confidence in earnings.
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Wellbeing & Lifestyle Benefits — Feedback suggests remote‑first work with flexible hours is a consistent positive that enhances day‑to‑day balance. The ability to work from anywhere and maintain autonomy is frequently highlighted as part of the overall rewards experience.
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Healthcare Strength — Feedback suggests some U.S. corporate roles include comprehensive health benefits, with individual accounts referencing employer‑covered medical insurance. These signals indicate stronger healthcare support for certain employee populations.
Turing Insights
What We Do
We now live in a remote-first world and every company is in a race to find the best remote engineers. There are so many amazing engineers all over the world. Turing’s mission is to help unleash the world’s untapped human potential. More than 300 companies, including those backed by Google Ventures, Bloomberg, Andreessen, Founders Fund, and Kleiner are already using Turing to spin up their engineering dream teams. Turing’s hiring platform combines the planetary reach and AI to deliver your ideal engineers in order to help you spin up your engineering dream team. Our deep matching intelligence finds the best Turing developers across 100+ skills like React, Node, Python, Golang, Angular, Swift, Java, and many more. As part of our rigorous vetting process, we also review software engineers’ technical abilities, English skills, and remote working capabilities. Turing ensures time zone overlap, transparency, and reliable communication in order to make remote development easy for you after the match. The Turing team has deep expertise in AI and building engineering dream teams in the U.S. at top companies. Turing company is backed by well-known investors like Facebook’s initial CTO (Adam D’Angelo), executives from Google, Facebook, Amazon, Twitter, Founders Fund (investors in Facebook, Tesla, Asana, etc). Turing.com is led by serial A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan, their last A.I. firm leveraged remote talent and had a successful acquisition.
