Staff Product Manager — AI-Native Developer Platform (Platform Developer Experience)

Why This Role Is Exciting

You'll operate across multiple platform layers simultaneously — infrastructure, data intelligence, developer tooling — each with different users, adoption motions, and success metrics

You must drive adoption without mandate across 8,000+ developers and dozens of platform teams

You're defining new interaction models (natural language interfaces, MCP-based tooling, agentic workflows) — not iterating on existing ones

Success requires changing developer behavior at scale, not just shipping features

You'll own measurement frameworks that directly feed executive-level goal reporting — the numbers have to be right, and the story has to be clear

The 3x Developer Velocity Mission

3x is not a slogan — it's a design constraint. Every platform capability PDX builds is evaluated against one question: does this meaningfully reduce time spent on toil across the developer lifecycle?

As Staff PM, you will own the measurement framework that makes 3x visible and credible:

Inner Loop: Lead Time to Change, PR Merge Velocity, Coding Start Time

Outer Loop: Deploy Time, Incident Resolution, Infrastructure Config Time

RDR Loop: Change Failure Rate, MTTR, Agent-Driven Proficiency

Your products should move these numbers. Your dashboards should prove it.

What You'll Own

This role will focus on one or two of the following areas based on candidate strengths and business priorities, while influencing the broader PDX ecosystem as a Staff-level contributor.

ODL Intelligence — Unlocking Intuit's Operational Data Lake (Key Strategic Investment) Transform Intuit's Operational Data Lake from a resource accessible only to SQL experts into an AI-native, self-serve intelligence platform — where any PM, TPM, developer, or engineering leader gets operational insights in seconds using natural language. Own the product strategy across five pillars: DFY Ingestion, Data Catalog & Consumption, AI/ML Enablement, Mid-Market Readiness, and Scalable Governance. Drive MCP server integration, semantic catalogs, and natural language-to-Athena SQL interfaces. This is one of the highest-leverage intelligence bets in PDX — unlocking Dev360, FinOps, GenAI, and operational decision-making across the company.

AI-Native Developer Tooling & MCP Ecosystem Define and launch MCP servers that bring platform capabilities — cloud provisioning, load testing, chaos injection, metric queries, DR orchestration — directly into developer IDEs, eliminating context switching entirely. Own Intuit's MCP Marketplace strategy, drive adoption across Claude Code, Cursor, and Windsurf, and grow the innersource skills ecosystem that accelerates AI adoption across the PM and engineering community.

Cloud Abstraction & Network Infrastructure Own the shift from IaC-heavy provisioning to platform-managed, IDE-first developer experiences — where infrastructure is described, not configured. Drive Done-For-You cloud abstraction, self-serve VPC management, IPv6 readiness, and compliance-by-default guardrails (PCI-DSS, SOX, SOC2). Target outcomes: 70%+ reduction in provisioning time, elimination of manual CloudOps toil, and a foundation for agentic cloud operations.

Production Reliability — DR, Chaos & Performance Own the platform's proactive reliability posture across three interconnected areas: enterprise-scale DR orchestration (multi-workload failover, AI-generated recovery procedures), chaos engineering (Smart FMEA, CI/CD-integrated chaos stages, shift-left resiliency enforcement), and performance engineering (cloud-native load testing, auto-generated scripts, IDE-embedded testing via MCP). Drive the organizational shift from reactive incident response to prevention at code time.

Change Management — Safety by Design Evolve Change Management from a compliance gate into a proactive AI-driven risk platform. Own intelligent risk scoring, shift-left change visibility across the full delivery lifecycle (IDE → Pre-PR → Deploy → Canary), self-serve HCAP workflows for peak operational periods, and an agentic future where low-risk changes auto-approve. Measure success in the metrics that matter: reduction in change-related P1/P2 incidents.