Senior Product Manager

MetAntz; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Skan.ai is seeking a Senior Product Manager to lead the Engineering Intelligence Platform (EIP). You will shape a data-driven product category, partnering with engineering, data science, design, and GTM teams to surface actionable insights across telemetry, workflows, and AI adoption.

You’ll engage with CIOs/CTOs, delivery leaders, and enterprise customers to drive adoption while balancing ambitious roadmaps, AI capabilities, and enterprise-scale requirements.

Qualifications

• 6+ years of product management experience in enterprise SaaS.
• Strong understanding of software engineering workflows and DevOps tooling.
• Experience translating complex workflows into scalable enterprise products.
• Ability to engage with CIOs/CTOs and engineering leaders.
• Excellent written and verbal communication.

Responsibilities

• Own the vision and roadmap for EIP across engineering telemetry and delivery intelligence.
• Define requirements, prioritize roadmap investments, and ship iterative capabilities.
• Engage with CIOs/CTOs and engineering teams to identify bottlenecks and opportunities.
• Develop productivity frameworks with meaningful signals on execution health and quality.
• Lead cross-functional collaboration with GTM, CS, and Solutions to articulate enterprise value.
• Provide executive storytelling around the future of engineering intelligence.

Skills

Product management

Enterprise SaaS

DevOps analytics

Analytical thinking

Executive communication

Ambiguity tolerance

Education

MBA or equivalent business experience

Bachelor's degree in a technical field

Tools

GitHub

GitLab

Jira

Datadog

Jenkins

Job description

Senior Product Manager — Engineering Intelligence Platform (EIP)

About Skan.ai

Skan.ai is redefining how the world’s largest enterprises understand and optimize work. Our process intelligence platform uses AI and computer vision to observe how work actually happens across systems, teams, and workflows — creating a living operational model of enterprise execution. Fortune 500 enterprises across banking, insurance, healthcare, and BPO rely on Skan to uncover operational inefficiencies, accelerate transformation, and build the foundation for enterprise-scale AI adoption.

As AI reshapes software engineering, enterprises are facing a new challenge: engineering organizations have become increasingly complex, fragmented, and difficult to optimize. Teams operate across dozens of tools, workflows, and delivery models, yet leaders still lack real-time visibility into execution health, delivery friction, quality bottlenecks, and AI-driven productivity.

Skan’s Engineering Intelligence Platform (EIP) is built to solve that problem.

The Role

We’re looking for a Senior Product Manager to lead the vision and execution of Skan’s Engineering Intelligence Platform (EIP) — a next-generation platform that gives engineering leaders unprecedented visibility into how software delivery actually happens. You will help build the operational intelligence layer for modern engineering organizations, integrating telemetry across developer workflows, CI/CD systems, collaboration tools, and delivery pipelines to surface actionable insights around productivity, quality, execution risk, process friction, and AI adoption.

This role sits at the intersection of AI, engineering systems, developer productivity, analytics, and enterprise transformation. You’ll work closely with engineering, data science, design, GTM, and enterprise customers to shape a product category that helps organizations move from anecdotal engineering management to data-driven execution intelligence.

This is a high-impact charter inside a company with proven enterprise scale, deep AI capabilities, and strong Fortune 500 relationships.

What You’ll Own

• Vision and roadmap for Skan’s Engineering Intelligence Platform (EIP), including engineering telemetry, delivery intelligence, workflow analytics, AI adoption measurement, and operational insights.
• Product development across engineering, applied AI, and platform teams — defining requirements, prioritizing roadmap investments, and shipping iterative capabilities that deliver measurable customer value.
• Deep customer engagement with CIOs, CTOs, engineering leaders, DevOps teams, and transformation offices to understand execution bottlenecks and evolving engineering operating models.
• Definition of engineering productivity frameworks that go beyond simplistic metrics to provide meaningful signals around execution health, quality, collaboration, throughput, and developer experience.
• AI-powered insight generation leveraging engineering telemetry, workflow patterns, and operational signals to surface recommendations and improvement opportunities.
• Cross-functional collaboration with GTM, customer success, and solutions engineering to define enterprise value propositions, onboarding motions, and adoption strategies.
• Executive storytelling and thought leadership around the future of engineering intelligence, AI-enabled software delivery, and data-driven engineering organizations.

What You Bring

• 6+ years of product management experience, with at least 3 years building enterprise SaaS products for technical or engineering users.
• Strong understanding of software engineering workflows, DevOps ecosystems, SDLC tooling, and modern engineering organizations.
• Experience working closely with engineering and data teams on analytics, AI/ML, observability, developer tooling, or productivity platforms.
• Ability to engage credibly with engineering leadership, platform teams, architects, and executive stakeholders.
• Proven experience translating complex operational workflows into intuitive product abstractions and scalable enterprise products.
• Strong analytical thinking and comfort working with telemetry, operational data, workflow instrumentation, and KPI frameworks.
• Excellent written and verbal communication skills. You can simplify complex technical concepts into compelling product narratives for both technical and executive audiences.
• Comfort operating in ambiguity with a strong bias toward execution and iteration.

Bonus Points

• Experience with engineering intelligence, developer productivity, DevOps analytics, observability, or software delivery platforms.
• Familiarity with tools and ecosystems such as GitHub, GitLab, Jira, Azure DevOps, Jenkins, Datadog, PagerDuty, ServiceNow, LinearB, Jellyfish, Harness, or similar platforms.
• Experience defining metrics frameworks around engineering effectiveness, delivery performance, quality, or AI-assisted development workflows.
• Exposure to enterprise AI adoption initiatives and governance models.
• Technical background in Computer Science, Engineering, or related fields.
• MBA or equivalent business experience paired with strong technical depth.

Real Enterprise Scale

Skan.ai already powers operational intelligence initiatives inside Fortune 500 enterprises. You’ll be building on top of real enterprise workflows, real telemetry, and real customer adoption.

Defining a New Category

Engineering organizations are undergoing massive transformation driven by AI-assisted development, distributed teams, and increasing delivery complexity. EIP aims to become the operational intelligence layer for this new era.

Proprietary Operational Data Advantage

Skan’s observation-first architecture provides unique visibility into how enterprise work actually happens — creating differentiated insight models competitors cannot easily replicate.

High Ownership, High Impact

This is not an optimization PM role. You’ll help define the product direction, customer narrative, and long-term strategy for one of Skan’s most strategic growth areas.

Bay Area Presence

This role is part of Skan’s growing Bay Area product footprint, close to enterprise customers, AI talent, and the broader innovation ecosystem.

Location

San Francisco Bay Area, hybrid. We expect 2–3 days/week in office for product-engineering collaboration and customer meetings. Occasional travel (~15%) to customer sites and Skan’s other offices.

Compensation

Competitive base salary, meaningful equity, and comprehensive benefits. Compensation will be based on experience, location, and background.