Turing is a startup building fully autonomous driving systems powered by an end-to-end AI stack and a large-scale foundation model.
<div class="content-intro"><h1><span style="font-family: helvetica, arial, sans-serif;"><strong><span style="font-size: 24pt;">About Turing</span></strong></span></h1> <p><span style="font-size: 10pt;">Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.</span></p> <p><span style="font-size: 10pt;">Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at<a class="c-link c-link--underline" href="http://www.turing.com/" target="_blank" data-stringify-link="http://www.turing.com" data-sk="tooltip_parent"> www.turing.com</a></span></p></div><h2><strong>The Role</strong></h2> <p>We are looking for a Product Owner who can own outcomes, not just artifacts -- and who brings a vision for how AI and intelligent automation can fundamentally improve how back-office operations and controls work. This role blends product thinking, deep financial services operations knowledge, and hands-on experience driving AI-enabled transformation: shaping a roadmap, aligning stakeholders, planning intelligently, and driving execution with transparency. You'll partner closely with Back Office Operations and Global Business Finance, helping modernize workflows and platforms in a way that is practical, controlled, and genuinely improves how the business runs -- with AI as a core enabler. Our team has a track record of delivering ~95% of projects on time and under budget. We do that by treating ambiguity as work: we break complex initiatives into two phases -- Discovery (to distill the real problem, align stakeholders, and establish a confident plan) and Delivery (to execute with clear milestones, risks, and dependencies).</p> <h2><strong>What you'll do</strong></h2> <ul> <li>Own discovery. Lead structured discovery efforts to clarify problem statements, current-state workflows, constraints, and success metrics and then translate that into a plan stakeholders can believe in.</li> <li>Set direction. Build and maintain a product roadmap that balances transformation, near-term outcomes, and operational stability.</li> <li>Drive AI-enabled transformation. Identify opportunities to embed AI, ML, and intelligent automation into operational workflows -- from reconciliation matching and exception triage to controls monitoring and evidence generation.</li> <li>Work with data science and engineering to move beyond manual processes, designing workflows where AI augments human judgment rather than replacing it.</li> <li>Run delivery with discipline. Define milestones, manage dependencies, track progress, and surface risks early.</li> <li>Be the connective tissue. Coordinate across business users, engineering, architecture, data science, and leadership; communicate status, tradeoffs, and decisions clearly.</li> <li>Bring users along. We use agile practices, but not every user group is mature in agile. You'll build trust through honest conversations, humility, and transparency while helping partners adopt better ways of working over time.</li> <li>Own the backlog. Translate needs into well-formed epics and stories with clear acceptance criteria; prioritize based on business value, risk, and effort.</li> <li>Handle conflict well. Navigate competing priorities, resolve disagreements constructively, and keep teams focused on outcomes.</li> <li>Champion quality and controls. Ensure solutions are operable and auditable where needed with clear definitions, controlled rollouts, and attention to reliability.</li> <li>Use AI responsibly. Leverage AI tools to move faster (analysis, writing, summarizing, prototyping, documentation), while maintaining strong judgment, validation, and appropriate guardrails. Model responsible AI usage for the team and the organization.</li> </ul> <h2>What we’re looking for</h2> <ul> <li>7+ years in a Product Owner, Product Manager, or Senior Business Analyst role within financial services. Direct experience with back-office operations, fund accounting, reconciliation, controller workflows, or treasury is required.</li> <li>Demonstrated experience leading AI-driven or intelligent automation initiatives within finance or investment operations. Designing AI-enabled workflows, not just consuming AI tools. You've fundamentally changed how an operational process works through the application of ML, NLP, LLMs, or advanced analytics.</li> <li>Controllers or Ops environment familiarity. Experience with back-office functions such as cash and position reconciliation and working control procedures.</li> <li>Hands-on experience with fund accounting, reconciliation platforms, NAV processes, GL controls, or operational control frameworks at an asset manager, hedge fund, or fund administrator.</li> <li>Demonstrated strength in planning, budgeting, tracking, and delivery execution.</li> <li>Strong stakeholder management skills: you build rapport, create clarity, and keep diverse groups aligned across operations, finance, technology, and leadership.</li> <li>Excellent written and verbal communication; you can make complex work understandable and actionable.</li> <li>Proven ability to break down complex problems and drive decisions with incomplete information.</li> <li>Comfort working closely with engineering and data science teams; you don't need to code, but you should understand how software gets