Senior Technical Product Manager

AI is reshaping every industry on earth, and right now, almost no one has figured out how to govern it. This is the defining challenge of the new technology era we just entered. Trustible exists to meet that challenge. We're building the platform that lets the world's largest organizations move fast with AI and prove they're doing it responsibly. The window to get this right is narrow, the stakes are enormous, and we're hiring the people who want to be at the center of it . We're an AI-native Public Benefit Corporation headquartered in Arlington, Virginia, backed by over $6M in venture funding from investors betting on trustworthy AI as one of the defining infrastructure categories of the decade. We've grown fast, we're winning enterprise customers in some of the most impactful industries in the world, and we're still small enough that a Technical PM here shapes the product roadmap directly, not through three layers of process. If you want to work on a genuinely hard, genuinely new problem at a startup with real traction in the DC area, this is that role. The Role We're hiring a Technical Product Manager who will work closely with our CTO and co-founder to build the product roadmap, then get into the details and execute it. You'll write technical requirements, work through UI/UX with design, support product launches, and stay close enough to the work to understand exactly what's being built and why. This role sits closer to engineering than a typical PM role. You should be able to reason through how we'd integrate with AI platforms and model providers, help scope out data pipelines for AI agent outputs, and write requirements detailed enough that engineering can build against them without a lot of back and forth. We're not expecting someone who writes production code day to day, but you need to be fluent enough in how the systems work to catch problems before they get expensive. We also think about AI governance as something that makes AI better, not just a compliance checkbox. Clarity and oversight speed up AI adoption rather than slowing it down, and we want someone who gets that instinctively rather than leaning too hard on the regulatory angle. The role spans both ends of the platform. You'll own bread and butter enterprise software work like permissions and workflows, and you'll also work on autonomousflashier surfaces like AI agents. We need someone humble enough to do both well and move between them without treating one as more important. You'll also need a real feel for where AI itself is heading, since governance only works if the product keeps pace with how fast the technology changes. All product management roles are also business roles, so you’ll need to be comfortable with being customer-facing and extremely business literate. This is an individual contributor role. You won't manage anyone, and your leverage comes from the quality of your thinking and execution. Who You'll Work With Our CTO and CEO , on roadmap and strategy The AI team , researching AI governance practices and informing how the platform should evolve The AI policy team , leading interpretation and analysis of AI regulations Engineering , building the platform day to day What You'll Do Work directly with our CTO and co-founder to shape the product roadmap, then take ownership of executing it Write detailed technical requirements, working through both the underlying system design and the UI/UX with design and engineering Help scope integrations with AI platforms and model providers, and help design data pipelines for ingesting, structuring, and using AI agent outputs Own both foundational enterprise workflows (permissions, admin tooling, review and approval flows) and newer, higher-profile capabilities like AI agents, giving both the same level of rigor Track how the AI landscape is evolving (new model capabilities, new categories of risk, new patterns of enterprise adoption) and translate what you learn into concrete product and technical decisions Make the business case for governance features in terms of values, not just risk avoidance, showing how they lead to faster AI adoption, better decisions, and stronger executive confidence Partner with engineering to scope and sequence work realistically, and partner with customers and prospects to pressure‑test ideas before they get built Engage directly with customers to gather feedback on pain points and new product capabilities Define success metrics that connect what you ship to real outcomes, not vanity metrics What You Bring 6+ years of product management experience, with a substantial track record in B2B SaaS Experience in risk, legaltech, cybersecurity, or an adjacent regulated/compliance-driven market. You don't need to be a regulatory expert, but you understand this buyer and this kind of software Real technical depth. You can understand how to integrate with AI platforms and model providers, reason through how a data pipeline for AI agent outputs should be structured, and write technical requirements detailed enough for engineering to build against Strong UI/UX instincts and real skill at gathering requirements. You can sit with an ambiguous problem, ask the right questions, and turn it into something design and engineering can build, on both the technical and the user-facing side Solid working knowledge of AI and ML, and genuine interest in tracking where the technology is heading. You read about new models and new capabilities because you want to, not because it's required Comfort operating at both ends of the spectrum: unglamorous but essential enterprise features (permissions, workflows, admin surfaces) and newer, more visible capabilities like AI agents. You don't need every project to be the exciting one A bias toward getting into the details. You're glad to shape strategy with the CTO, and just as glad to spend an afternoon in Claude Design, a data schema, or a requirements doc Excellent written and verbal communication, comfortable moving between a deeply technical conversation with engineering and a business conversation with an executive buyer Based in or willing to relocate to the DC metro area, with the ability to work hybrid from our Arlington office Must have current US work authorization; we're not able to sponsor visas for this role Nice to Have Prior experience at an early or growth-stage startup, where you've had to build product processes as much as product itself Experience shipping AI-powered or agentic features, not just AI-adjacent products A background in computer science, engineering, or a hands‑on technical role earlier in your career Exposure to how enterprise risk, compliance, or internal audit functions actually operate day to day Base salary: $175,000-$215,000, commensurate with experience Meaningful equity in an early-stage, venture-backed company #J-18808-Ljbffr Trustible