Senior Technical Product Manager, AI at NAVEX

, , United States -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Product Management, Platform Strategy, AI Platform Engineering, AI Enablement, Roadmap Definition, Capability Requirements, Backlog Management, Execution Leadership, LLM-based Systems, Agentic Systems, Orchestration Patterns, AI Governance, Risk Management, Cloud-Native Environments, Cross-functional Alignment, Telemetry-driven Development

Industry

Software Development

Description

At NAVEX, we’re transforming the world—making it safer, more ethical, and ensuring every voice is heard. That’s real impact. Our high-performance culture is driven by our values. We move with speed, passion and purpose — as one team. We are bold in our ideas, accountable in our actions, and committed to doing the right things right. As a Senior Technical Product Manager, AI, you will support the evolution and delivery of the NAVEX AI Product System by translating platform strategy into scalable, reusable capabilities that power AI and agent-driven systems across the NAVEX product portfolio. This role sits within the Product organization and operates at the intersection of AI platform engineering, AI enablement, and application product teams. You will partner closely with AI Product leadership to help define platform capabilities and lead the execution of those capabilities across initiatives. Your focus is ensuring the AI platform evolves in concert with real product needs while remaining governed, scalable, and reusable across NAVEX solutions. You’ll thrive in this role surrounded by an engaged, collaborative team deeply committed to your success. Join us and help shape what’s next! What you’ll get: Meaningful Purpose. Your work helps organizations operate with integrity and protect their people—at a scale few companies can match. High-Performance Environment. We move with urgency, set ambitious goals, and expect excellence. You’ll be trusted with real ownership and supported to do the best work of your career. Candid, Supportive Culture. We communicate openly, challenge ideas—not people—and value teammates who embrace bold thinking and continuous improvement. Growth That Matters. You can count on authentic feedback, strong accountability, and leaders invested in your success so you can achieve real growth. Rewards for Results. We provide clear, competitive compensation designed to recognize measurable outcomes and real impact. What you’ll do: Partner with AI Product leadership to define and evolve the multi-horizon roadmap for the NAVEX AI platform, spanning primitives, runtime infrastructure, orchestration, governance, and release controls Translate platform strategy into prioritized capability requirements, platform backlogs, and delivery milestones aligned to adoption and platform scale Lead execution of platform initiatives, ensuring roadmap priorities translate into reliable, production-ready platform capabilities Partner with application teams and AI product managers to translate workflow and experience needs into reusable AI platform capabilities Identify and prioritize shared platform capabilities that accelerate AI innovation across NAVEX products while preserving platform integrity and reuse Own the platform capability backlog and coordinate delivery across engineering teams to ensure new capabilities ship as extensible platform services Define requirements for AI runtime behavior including execution reliability, scaling, tenant isolation, context assembly, and policy-aware interactions Establish orchestration primitives, intent interpretation frameworks, and safe tool invocation patterns that enable application teams to build workflow-level AI and agent-assisted experiences Define observability, evaluation, and governance standards including execution tracing, telemetry, auditability, and evaluation-gated releases Drive cross-functional alignment across engineering, security, compliance, data, and product teams while ensuring platform capabilities scale safely across the NAVEX product portfolio What you’ll bring: 8+ years of experience in technical product management, with at least 3 years in platform, infrastructure, or AI/ML environments Experience delivering platform products consumed by multiple product teams or services Strong understanding of LLM-based and agentic systems including runtime design, context assembly, orchestration patterns, and tool-using architectures Experience translating architectural capabilities into product outcomes and platform adoption Familiarity with AI governance and risk management principles in enterprise environments Ability to define measurable success criteria for non-deterministic AI systems Experience coordinating cross-functional delivery across engineering, product, security, and compliance teams Experience working in cloud-native environments (AWS preferred) Strong communication skills with the ability to translate complex technical systems into product and executive narratives Comfort operating in iterative, telemetry-driven AI product development cycles Culture Agility. Comfort working in a fast-paced, candid environment that values innovation, healthy debate, and follow-through Fuel performance and outcomes. Leverage your job competencies and champion NAVEX’s core values Our side of the deal: We’ll be clear, we’ll move fast, and we’ll invest in your success. You deserve to be supported, challenged, and rewarded for the impact you make—and we commit to doing that every step of the way. The starting pay range for this role is $159,500 + per annum with 5% MBO. Discover how you can grow, lead, and make an impact by visiting our career page to learn more. NAVEX is an equal opportunity employer committed to including individuals of all backgrounds, including those with disabilities and veteran status.

Responsibilities

The Senior Technical Product Manager will define and evolve the multi-horizon roadmap for the NAVEX AI platform, translating platform strategy into prioritized capability requirements and leading execution to deliver reliable, production-ready platform capabilities. This involves defining requirements for AI runtime behavior, establishing orchestration primitives, and setting standards for observability, evaluation, and governance across the platform.