Product Manager
Turing
Skill Required
Key highlights
- Required experience: 2+ years PM and 2+ years Engineering/DS/Design
- Key benefit: Opportunity to showcase work at top AI conferences (ICLR, ICML, NeurIPS)
- Notable requirement: Strong technical fluency and prior technical background
- Key benefit: Collaborating with experts from Google, Meta, and Amazon
Role overview
Turing is looking for a high-caliber Product Manager to lead critical product areas across their talent, marketplace, vetting, and platform ecosystem. This high-ownership role requires a combination of strong product judgment, design taste, data-driven decision making, technical fluency, and structured business thinking to build scalable, high-quality experiences at the intersection of frontier AI, high-quality talent, and complex product/platform workflows. Turing's mission is to accelerate superintelligence to drive real economic progress by working with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and research benchmarks, while also helping Fortune 500 enterprises deploy end-to-end agentic AI systems.
Responsibilities
- Lead product strategy and execution across some of Turing’s most important platform surfaces, including: 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
- 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
Requirements
- 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
Nice to have
- 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
Benefits
- 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
Additional details
- Ideal candidate profile: 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
- Ideal candidate 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
- Values: client first, work at Start-Up Speed, AI forward
- 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
- Dedicated to building a diverse, inclusive and authentic workplace; encourages application even if past experience doesn’t align perfectly with every qualification
- For applicants from the European Union, please review Turing's GDPR notice
- Originally posted on Himalayas