Platform Product Manager (Hybrid)

Enova•Chicago, IL

6d•Hybrid

About The Position

Enova’s Platform Product Management Team is seeking a Product Manager to own and drive tools, services, and platforms that help software engineers build and ship faster, including adoption of AI across the software development lifecycle. The role shapes product strategy for the internal developer platform, including the developer portal, on-demand environments, shared libraries, AI-powered developer tools, and tooling for building, testing, securing, and deploying software. The Product Manager treats engineers as customers and partners closely with the Developer Experience team, engineering teams across the company, and technology leadership to identify friction in the development lifecycle, define solutions, and deliver measurable improvements in developer productivity. The position also leads efforts to help engineers adopt AI tools safely and effectively, from coding assistants to internal AI agents and integrations. This highly collaborative role requires strong product and project management skills.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related field, or equivalent experience.
3+ years of product management, technical program management, or business analysis experience; experience with internal platforms, developer tools, or infrastructure products is ideal.
Working knowledge of the software development lifecycle and modern engineering practices, such as CI/CD, testing automation, containerized or cloud environments, and developer security tooling.
Experience gathering requirements directly from engineers or other technical users and validating solutions with them.
Ability to translate user needs into clear requirements and prioritize MVP solutions.
Experience working in Agile environments and tools such as Jira and Confluence, and ability to manage competing priorities in a fast-paced setting.
Proven ability to collaborate with and influence cross-functional stakeholders, including engineering, security, and technology leadership.
Experience with developer portals or internal developer platforms, such as Backstage.
Strong ownership and execution skills, including creating product artifacts such as requirements, process flows, test plans, and roadmaps, and independently driving projects from concept through delivery.
Experience with Model Context Protocol (MCP) or integrating AI agents with internal tools and data sources.
Familiarity with generative AI and AI-assisted development tools, such as AI coding assistants and LLM-based agents, including their capabilities, limitations, and risks.

Responsibilities

Own the product lifecycle for developer platform capabilities, from discovery through delivery, adoption, and iteration.
Define and drive the strategy for AI adoption among engineers, including evaluating, piloting, and rolling out AI-powered developer tools and workflows.
Partner with engineering teams across the company to understand workflows and pain points and define product strategy for the developer platform.
Prioritize initiatives and manage a roadmap aligned with engineering productivity goals, security and reliability needs, and platform evolution.
Elicit, document, and validate requirements with the Developer Experience team, ensuring alignment with technical feasibility and scalable, maintainable solutions.
Drive adoption of platform tools and services through enablement, documentation, communication, and feedback loops with internal users.
Drive alignment across cross-functional teams, ensuring clarity on priorities, scope, and timelines.
Collaborate closely with engineers throughout development and make tradeoff decisions as needed.
Define and track developer experience metrics, such as adoption, environment spin-up time, build and deploy times, and developer satisfaction, using data to inform decisions and continuous improvement.