Technical Product Manager

RWE•Austin, TX

1d•Onsite

About The Position

The Technical Product Manager is a technical delivery leader translating system architecture, data dependencies, and business priorities to ensure AI products are delivered at scale. This role leads execution of the technical product roadmap, translating requirements into well-defined technical backlogs with clear milestones, dependencies, and acceptance criteria, and driving end-to-end system design alignment across models, pipelines, and applications. The Technical Product Manager oversees the technical aspects of the product, influences strategic delivery priorities, and is accountable for production readiness, performance management, and system-level KPIs and SLAs across the AI product portfolio.

Requirements

Master’s or PhD degree in computer science, data science, STEM, or related field required.
Minimum 5 years of relevant professional experience in technical product management, software delivery, or related roles, including experience leading delivery across complex, cross-functional AI or data platform programs
Proven ability to co-own and evolve a technical product roadmap, balancing business priorities against technical constraints and platform dependencies in fast-moving AI delivery environments
Experience leading technical dependency management and trade-off decisions (e.g., latency vs. accuracy, batch vs. real-time), with the credibility to challenge engineering assumptions and drive feasible solutions
Deep understanding of non-functional requirements and production readiness standards, including scalability, reliability, security, and system-level KPI and SLA management for AI products
Demonstrated ability to translate complex business and technical requirements into well-structured backlogs with clear interfaces, dependencies, and acceptance criteria that engineering and data teams can execute against
Highly skilled at engaging and influencing senior stakeholders across business, architecture, and engineering, translating technical trade-offs into clear recommendations for executive audiences
Strong leadership and team development skills, overseeing a team of engineers, and driving consistent delivery processes
Solid execution discipline and ownership, managing milestones, dependencies, and delivery risks proactively across a complex AI product portfolio
Proficiency in standard product and project management tools (e.g., Jira, Confluence, Miro) and productivity tools (e.g., PowerPoint, Excel)
Applicants must be legally authorized to work in the United States. RWE Americas is unable to sponsor or take over sponsorship of employment visas at this time.

Nice To Haves

Experience in the power, utilities, or clean energy sector, including knowledge of U.S. power markets, renewable project development, and clean energy technologies preferred

Responsibilities

Translate strategic product roadmaps into executable delivery plans with clear milestones, dependencies, and success criteria
Align business priorities with system architecture, data dependencies, and platform constraints to ensure plans are realistic, well-sequenced, and tied to measurable outcomes
Translate requirements into well-defined technical backlogs with clear dependencies and acceptance criteria for engineering and data teams, ensuring squads have the clarity needed to execute with speed and quality
Partner with the Data/AI platform owner, Data/AI platform Architect, and Solution Architect to ensure solutions adhere to target architecture and defining key integration patterns across models, pipelines, and applications
Lead technical dependency management and trade-off decisions (e.g., latency vs. accuracy, batch vs. real-time) to enable scalable and feasible solutions, engaging stakeholders to resolve blockers and maintain delivery momentum
Ensure production readiness and performance across AI products, including non-functional requirements (scalability, reliability, security) and system-level KPIs and SLAs