Senior Technical Product Manager

Trustible•Arlington, VA

10d•$175,000 - $215,000•Hybrid

About The Position

We are seeking a Technical Product Manager to collaborate closely with our CTO and co-founder on defining and executing the product roadmap. This role requires a blend of strategic thinking and detailed execution, including writing technical requirements, working with design on UI/UX, supporting product launches, and maintaining a deep understanding of the product being built. The position is more engineering-focused than a typical PM role, requiring the ability to understand AI platform integrations, scope data pipelines for AI outputs, and write detailed requirements for engineering. A key aspect of this role involves a proactive approach to AI governance, viewing it as a driver of AI improvement rather than just a compliance measure. The role encompasses both core enterprise software functionalities like permissions and workflows, as well as advanced features such as AI agents. The ideal candidate will possess a strong understanding of the evolving AI landscape and be comfortable with customer-facing interactions and business acumen. This is an individual contributor role where influence is derived from the quality of thought and execution.

Requirements

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 Haves

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

Responsibilities

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 value, 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