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.
We are looking for an experienced Product Manager to lead the strategy, roadmap, and execution for platforms supporting Back Office Operations, especially around Fund controller accounting and Global Business Finance. The ideal candidate brings strong product management experience combined with deep knowledge of financial operations, operational controls, and controller functions.
This role will partner closely with business stakeholders, engineering, and operations teams to modernize back-office platforms and improve operational efficiency. While familiarity with AI is a plus, the primary focus is on delivering business value through well-designed operational systems rather than building AI solutions.
Key Responsibilities- Own the product vision, roadmap, and prioritization for Operations & Controls platforms.
- Lead product discovery by understanding business problems, operational workflows, and stakeholder requirements.
- Partner with Back Office Operations, Controllers, Finance, and Technology teams to improve operational processes.
- Drive modernization initiatives in fund control accounting workflow automation, and operational reporting.
- Build and manage the product backlog, define user stories, and prioritize features based on business value.
- Coordinate delivery across engineering, architecture, and business stakeholders.
- Track milestones, dependencies, risks, and delivery progress.
- Promote transparency and effective stakeholder communication throughout the product lifecycle.
- Identify practical opportunities where AI and automation tools can improve productivity, decision-making, and operational efficiency.
- Ensure solutions meet governance, audit, and operational control requirements.
- 5+ years of experience as a Product Owner, Product Manager, or Senior Business Analyst within Financial Services.
- Strong experience supporting Back Office Operations, Fund Controllers, and Finance Operations.
- Has fund accounting domain literacy, hands-on exposure to at least one fund accounting/admin platform, exception management
- Experience building or enhancing corporate back-office platforms and operational systems.
- Demonstrated experience translating fund control requirements — NAV integrity, cash/position break resolution, and controller sign-off workflows — into product specs and acceptance criteria that satisfy audit and governance standards.
- Excellent stakeholder management and cross-functional collaboration skills.
- Proven ability to manage product roadmaps, planning, prioritization, and execution.
- Strong analytical, communication, and problem-solving skills.
- Familiarity with AI tools (e.g., ChatGPT, Copilot, Gemini) and understanding of where AI can improve operational workflows. Hands-on AI solution development is not required.
- Ability to work effectively with engineering teams and understand modern software delivery practices.
- Experience with platforms such as Geneva/SS&C, Eagle, Advent, Paxus, or similar fund accounting and operations systems.
- Experience working with fund administrators or investment operations teams.
- Experience with Agile product delivery.
- Exposure to workflow automation, cloud platforms, or modern enterprise applications.
Compensation Range: $175,000 - $215,000 total cash
#LI-VC1
- 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.
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
