Product Manager

Product Manager : Privacy / AI Governance

Dutient Labs | Full-time

About Dutient Labs

Dutient Labs is building an AI-native platform for privacy governance and regulatory execution. We operate in a space where most tools stop at tracking requirements, while actual execution remains manual and fragmented.

Our approach is shaped by real-world privacy and compliance work through dutient.ai, giving us direct insight into how organisations manage (and struggle with) regulatory workflows. We’re focused on building systems that move beyond documentation toward reliable, repeatable execution.

The Role

This is a founding product role.

You won’t be handed a roadmap. You’ll help define it.

You’ll work directly with the founders to shape how AI systems, workflows, and compliance primitives come together into a product that actually works in practice, not just in demos.

This role is suited for someone who wants to:

• Build in a 0→1 environment
• Work on AI systems beyond surface-level features
• Operate with high ownership and minimal structure
• Make product decisions with incomplete information

If you’re optimising for well-defined scope and clear boundaries, this won’t be a fit.

What You’ll Own

• End-to-end ownership of core product areas, from problem discovery to shipped systems
• Defining how regulatory requirements translate into actual product behaviour
• Designing AI-driven workflows, including agent interactions, evaluation loops, and human-in-the-loop systems
• Making trade-offs between speed, accuracy, and trust in AI features
• Building internal clarity where none exists, structuring ambiguous problem spaces into actionable plans
• Working closely with engineering to ship fast, iterate faster, and course-correct when needed
• Turning real-world usage and feedback into product direction (not just incremental improvements)

What This Role Demands

• You’ve built and shipped products before (internships, startups, side projects, doesn’t matter; depth does)
• You understand the difference between feature shipping and problem solving
• You can break down ambiguous problems without waiting for perfect context
• You’re comfortable working with AI systems as systems (not just APIs): prompts, evaluation, failure modes, edge cases
• You think in trade-offs, not ideals
• You write clearly, because unclear thinking shows up in unclear specs
• You default to action and iteration over prolonged planning

Strong Signals (Not Checkboxes)

• You’ve worked with LLMs beyond basic usage (agents, RAG, evals, etc.)
• You’ve built something where users depended on it, even at small scale
• You’ve operated in environments where things were undefined, and made progress anyway
• You’ve engaged with domains like security, compliance, or other high-trust systems
• You care about how things actually work, not just how they’re presented

What You Get

• Real ownership from day one, no “shadow PM” phase
• Direct involvement in shaping product, not just executing it
• Exposure to AI product design in a high-stakes, non-trivial domain
• A fast feedback loop from real-world usage, not just internal opinions
• A small team where output matters more than process

How to Standout

Send:

• A short write-up on one product you’ve built or worked on
• What problem you were solving
• What decisions you made
• What you got wrong
• Links to anything you’ve built or shipped

📩 Rohit@dutient.ai