Director of Product Management, Developer Experience

Salesforce•San Francisco, CA

23d

About The Position

Salesforce is seeking a Director of Product Management to join their Developer Experience & Observability organization. This role will focus on delivering a world-class development environment for over 15,000 internal engineers, encompassing the full software development lifecycle (SDLC) from local development to production deployment and observability. The organization is reimagining the SDLC for the agentic era, aiming to turn emerging AI capabilities into trusted developer experiences at enterprise scale. The Director will own the strategy, roadmap, and outcomes for key developer products and platforms, acting as an individual contributor with broad organizational influence. They will partner with engineering and executive leadership, champion developers as customers, and translate their problems into adopted products. This is an opportunity for a product leader to be at the forefront of driving impact across thousands of engineers by laying out a clear strategy, diving into technical details, building and experimenting with AI tools, and obsessing over developer experience.

Requirements

6-10+ years of technical product management experience (or equivalent) with demonstrated success owning large-scale developer platforms, infrastructure platforms, developer tools or DevOps products.
Strong understanding of modern software development practices and developer workflows across source control, build systems, testing, and CI/CD.
Experience with complex development environments such as large monolithic applications, monorepos, and/or distributed cloud-native microservices.
AI-native, hands-on approach: You use AI to improve how you work. You can build prototypes, automations, and agents using tools such as Claude Code, Cursor, Codex, or equivalents. Examples include Slack workflows that capture developer feedback, surface recurring issues, and track follow-through.
A track record of combining customer research, product data, and experimentation to understand technical users, make better product decisions, and deliver experiences developers adopt and value.
The ability to turn complex product and technical tradeoffs into clear written narratives, roadmaps, and executive recommendations while building trust with engineering teams.
Experience building products where scale, security, privacy, compliance, reliability, and performance are fundamental requirements, with an understanding of the additional evaluation and governance considerations for AI tools.
Natural comfort with ambiguity and the ability to bring clarity, focus, and alignment across large, matrixed organizations and in a fast-evolving landscape.
BS or MS in Computer Science, Software Engineering, or a related discipline (or equivalent practical experience).

Nice To Haves

Previous experience as a software engineer, engineering leader, or in another technical role.
Prior ownership of an internal developer platform (IDP), service catalog, developer portal, or similar large-scale developer-facing system.
Experience evaluating or deploying AI-assisted software development tools and cloud-based coding agents at scale.
Strong background in developer advocacy or developer relations.

Responsibilities

Set the product vision and strategy: Define a compelling direction, sequenced roadmap, and investment priorities.
Translate strategy into clear requirements and iterative delivery. Make deliberate choices about what to build, buy, improve, or retire, balancing developer needs, technical debt, security, cost, and long-term business goals.
Champion the voice of the developer: Build trusted customer relationships through interviews, advisory boards, surveys, workflow research, and product telemetry. Uncover the root causes of developer friction, translate those insights into focused product opportunities, validate solutions, and close the feedback loop.
Drive AI-native developer productivity: Identify opportunities for AI coding tools and agents across the SDLC. Prototype and evaluate emerging tools and workflows, considering quality, developer trust, security, human oversight, and cost. Turn the highest-value experiments into reliable products used in everyday development.
Measure and improve outcomes: Establish baselines and success measures for developer experience, delivery performance, adoption, and AI effectiveness. Combine DORA delivery metrics and SPACE-informed measures with build/test feedback times, CI reliability, developer sentiment and satisfaction measures such as NPS/CSAT, and qualitative research. Use this evidence to identify bottlenecks, prioritize investments, and validate improvements in speed, quality, and satisfaction.
Influence & collaborate at scale: Build strong, trusted partnerships across partner teams and drive influence at all levels of the organization. Resolve competing priorities, navigate technical tradeoffs, and communicate clear recommendations to engineers and executives.
Prioritize high-impact investments: Prioritize the product backlog while balancing developer feedback, technical debt, security requirements, and long-term business goals to maximize platform value.