Technical Product Manager, Developer Platforms & AI Ops
Oversees the development of internal developer tools and scalable machine learning infrastructure for engineering teams.
Overview
The daily reality of this role involves translating complex technical requirements into a cohesive roadmap for internal infrastructure. It requires a balance between deep technical understanding of cloud systems and the strategic mindset needed to prioritize platform features. The work rhythm is often tied to engineering sprint cycles, with a focus on reducing friction in the software development lifecycle and ensuring the reliability of production machine learning models.
Professionals in this field spend significant time conducting internal user research with software engineers and data scientists to identify bottlenecks in their workflows. Success is measured by the stability of the platform, developer adoption rates, and the efficiency of model deployment. Those who thrive in this environment possess a high degree of technical curiosity and the ability to navigate the trade-offs between custom-built solutions and third-party integrations.
Responsibilities
- Define the product strategy and long-term vision for internal developer portals and AI infrastructure.
- Translate business requirements into detailed technical specifications for engineering and DevOps teams.
- Prioritize the platform backlog based on developer impact, system reliability, and organizational goals.
- Coordinate the rollout of new API versions and infrastructure updates across the engineering organization.
- Establish key performance indicators to measure platform stability and developer velocity.
- Collaborate with security and compliance teams to ensure data privacy and governance in AI workflows.
- Conduct competitive analysis of cloud services and emerging MLOps tools to inform build-versus-buy decisions.
Qualifications
- Extensive experience in product management specifically focused on technical or infrastructure products.
- A strong background in computer science or software engineering to facilitate technical discussions.
- Demonstrated proficiency in cloud architecture, containerization, and distributed systems.
- In-depth knowledge of the software development lifecycle and common CI/CD toolchains.
- Excellent analytical skills and the ability to interpret complex system performance data.
- Proven experience managing cross-functional stakeholders in high-pressure technical environments.
Nice to have
- Advanced degree in a quantitative field or an MBA with a technical focus.
- Direct experience building or managing machine learning pipelines and data engineering platforms.
- Active contributions to open-source software projects or technical standards committees.
Work environment
- Work is typically performed in high-tech office environments or remote settings with frequent virtual collaboration.
- The role utilizes specialized project management tools and technical interfaces such as Jira, GitHub, and cloud consoles.
- Hours are generally standard but may include periods of high intensity during major infrastructure migrations.
- The culture is centered on technical excellence, peer review, and continuous architectural improvement.
Benefits & growth
- Compensation typically includes a high base salary, performance bonuses, and significant equity grants.
- Career progression often leads to roles such as Director of Platform or VP of Infrastructure.
- Generous professional development budgets are common for attending major technical conferences and certifications.
- The role provides exposure to cutting-edge cloud technologies and emerging artificial intelligence frameworks.
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