Senior Product Manager–AI Infrastructure & Agentic Systems

The role

You will define the product vision, strategy, and roadmap for AI infrastructure and agentic systems. You will work with software engineering, data science, and sales teams to build complex software products and operationalize AI technologies.

What you will do

• Define, prioritize, and schedule requirements
• Work with customers, engineers, and stakeholders to maintain a product roadmap
• Identify and communicate risks to requirements
• Participate in standups, planning, and design sessions
• Resolve issues that hinder developer progress
• Take ownership for the execution team delivering on time
• Perform product acceptance testing
• Draft and maintain technical documentation, release notes, and communications
• Partner with marketing to position new capabilities and support launch efforts
• Track customer feedback, market trends, and emerging technologies

Required qualifications

• A degree in a technical field (computer science, engineering, or similar)
• 6+ years of product management or closely related experience building complex, technical software products
• Strong technical fluency in AI and machine learning (ML) systems
• Hands-on experience and deep expertise in one or more of the following: LLM gateways, model routing, inference infrastructure, or model serving; AI observability, model monitoring, model test and eval
• Proven ability to turn ambiguous customer and business problems into clear product requirements, priorities, and measurable outcomes
• Experience partnering closely with engineering teams throughout discovery, design, development, testing, launch, and iteration
• Strong product judgment
• Experience defining and using product metrics, platform KPIs, customer feedback, and usage data to guide decisions
• The ability to communicate technical concepts and product tradeoffs to both technical and non-technical audiences
• US citizenship
• Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance

Nice to have

• Previous experience as a software engineer, ML engineer, data scientist, or solutions architect
• Familiarity with cloud infrastructure, Kubernetes, APIs, distributed systems, or modern data and ML platforms
• Proficiency with Figma to create product design artifacts
• Active Secret (or above) US security clearance

Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Before you apply

• US citizenship required
• Must be eligible and willing to obtain and maintain a Secret (or above) US security clearance

About the company

Striveworks delivers AI systems that provide a layer of assurance by monitoring performance and managing drift for deployed models.