Technical Product Manager

• Own long-term product scope, defining epics and features, ensuring end-to-end use cases and workflows are captured, intent/capabilities are delivered, and the product is continuously validated • Drive results that deliver user delight and drive products toward product-market fit • Anticipate, identify, and address risks and blockers that could impede engineering progress • Work with clients and users to capture business requirements at the least necessary level of detail to support rapid delivery cycles • Support Engineering and Client collaborative working sessions and capture of feedback • Triangulate engineering, user testing and feedback, AI evaluation to deliver ship ready features • Monitor progress and % complete against longer term roadmaps and structure functionality and supporting dev ops & SRE work into work sprints and releases that deliver incremental value to the client • Act as the first user of solutions, routing feedback and results to Workstream Leads and business partners for prioritization • Monitor engagement and retention metrics to track product-market fit evolution • Triage user feedback back to engineering teams and subject matter experts • Operate seamlessly across strategic (quarterly scope, OKRs) and tactical (sprint mechanics, documentation) horizons simultaneously • Translate technical constraints and trade-offs into business language for client and executive stakeholders • Facilitate prioritization decisions across competing client, engineering, and business demands • Own and maintain product documentation (specs, roadmaps, release notes) as the single source of truth across teams • Proven product management experience delivering new software from conception through MVP and beyond in cross-functional, multi-stakeholder environments • Strong written and verbal communication skills with demonstrated documentation discipline • Ability to capture complex customer journeys clearly and iterate them based on feedback • Comfort defining and tracking success metrics, and making "good enough to ship" calls in ambiguous conditions • Expert stakeholder management across client PMO/QE teams, engineering, and domain experts • Demonstrated comfort developing products in highly regulated environments with significant consideration for risk, compliance, and legal issues • Initiative, curiosity, and adaptability to thrive in evolving AI product environments • Working familiarity with AI/LLM product development including prompt design, evaluation frameworks, and the practical limits of model-based features • Track record of shipping incrementally in ambiguous, evolving scope rather than fixed-spec environments • Comfort managing up and across in client organizations without formal authority Nice to-have: • Prior engineering or technical background • Hands-on experience with agentic AI or LLM-based products • Familiarity with Azure DevOps (ADO) for backlog and sprint management • Experience collaborating with SMEs who author or contribute to products directly What about languages?