Product Manager

Senior Product Manager – Engineering Intelligence Platform

Location: San Francisco Bay Area, CA (Hybrid – 2–3 days per week in office)

Compensation: $180K–$220K base salary, negotiable, plus equity and benefits.

About the Role

We are looking for a technically strong Product Manager with a background in Software Engineering to lead the development of an AI-powered Engineering Intelligence Platform. This platform helps enterprise organizations improve software delivery, engineering productivity, code quality, and AI adoption through data-driven insights.

The ideal candidate has hands-on software development experience and transitioned into Product Management within the last 2–3 years. They should understand engineering workflows and be comfortable collaborating with software engineers, AI/ML teams, and enterprise stakeholders.

Key Responsibilities

• Define product strategy, vision, roadmap, and requirements for an engineering intelligence platform.
• Work closely with engineering, data science, and AI/ML teams to build and deliver product capabilities.
• Analyze engineering workflows, telemetry, and delivery metrics to identify productivity improvements.
• Develop solutions that improve software delivery performance, code quality, and developer experience.
• Collaborate with CTOs, engineering leaders, and enterprise customers to understand business and technical challenges.
• Translate complex technical requirements into scalable product features and measurable outcomes.
• Drive product development from ideation through launch, adoption, and continuous improvement.

Required Qualifications

• Strong prior experience as a Software Engineer, Software Developer, or similar technical professional.
• Approximately 2–3 years of Product Management experience following a transition from software engineering.
• Experience building or managing enterprise SaaS products, developer tools, engineering analytics, or AI-powered platforms.
• Strong understanding of SDLC, CI/CD pipelines, DevOps, and modern software engineering practices.
• Experience collaborating with engineering, data, and cross-functional product teams.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.

Preferred Background

Candidates from companies specializing in engineering intelligence, developer productivity, DevOps, observability, and software delivery platforms are strongly preferred.

Target companies include: LinearB, Jellyfish, DX, Swarmia, Allstacks, Harness, Datadog, GitLab, Atlassian, and PagerDuty.

Experience with GitHub, GitLab, Jira, Azure DevOps, Jenkins, Datadog, or similar engineering platforms is an advantage.

Ideal Candidate: A former Software Engineer who has transitioned into Product Management in the last 2–3 years and can combine technical depth with product strategy to improve engineering productivity and software delivery through AI and analytics.