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Principal Product Manager
HybridFull-timeProduct ManagementEnterprise Software
Own strategy, roadmap, and outcomes for shared platform capabilities used across enterprise products. Lead discovery and delivery with cross-functional teams, from problem validation through adoption and iteration. Apply AI product thinking to platform requirements and decisions.
Responsibilities
- Set product strategy, roadmap, and measurable outcomes for shared platform capabilities.
- Lead discovery with product teams, customers, engineers, and other stakeholders; identify repeatable platform needs.
- Translate customer problems and technical constraints into requirements, acceptance criteria, sequencing, and investment decisions.
- Drive capabilities from validation and concept through MVP, production readiness, adoption, and iteration.
- Partner with UX and Engineering on workflows and developer experiences across APIs, services, integrations, and administration.
- Define enterprise requirements for access, security, privacy, observability, reliability, performance, deployment, and support.
- Apply AI product thinking to grounding, integrations, evaluation, telemetry, guardrails, explainability, and human oversight.
- Establish success measures for adoption, quality, reliability, cost, satisfaction, retention, and business impact.
- Coordinate roadmaps, dependencies, feedback, release readiness, field enablement, and post-launch learning.
- Communicate strategy and decisions to stakeholders and mentor product managers.
Requirements
- At least 8 years of product management experience in enterprise software, including technically complex products, platforms, or shared services.
- Principal-level experience setting strategy, making prioritization decisions, and delivering outcomes across multiple teams or product areas.
- Strong inbound product skills spanning discovery, problem framing, requirements, workflows, technical tradeoffs, roadmaps, launch readiness, and adoption.
- Experience in a relevant platform area such as APIs, identity, data services, observability, workflow automation, administration, extensibility, or enterprise infrastructure.
- Working knowledge of AI-enabled product considerations, including LLMs, retrieval and grounding, agents, evaluation, observability, safety, latency, and cost.
- Ability to balance reusable platform capabilities with domain-specific needs and deliver in environments requiring security, reliability, governance, and operational rigor.
- Ability to influence cross-functional teams and senior stakeholders without formal authority, and communicate technical decisions clearly.
- Bachelor’s degree in a relevant field or equivalent practical experience.
Nice to have
- Experience in mainframe, systems management, observability, AIOps, automation, data management, security, developer experience, or IT operations.
- Experience with hybrid, on-premises, cloud, regulated, or air-gapped deployments; APIs, SDKs, integrations, or extensible developer platforms.
- Experience in enterprise AI governance, evaluation, or human-in-the-loop design; prototyping with APIs, AI tools, analytics, or scripting.
- Experience with global engineering teams, design partners, strategic customers, or enterprise go-to-market teams.