Product Manager, Grid

Baseten

. Own the product roadmap for Grid, from early developer adoption to production deployments and enterprise expansion .

Posted 11/11/2026full-timeUnited StatesMid-LevelSenior💰 $200,000 - $400,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and commercializing AI/ML products, focusing on developer experience and model evaluation. Proficient in optimizing AI model quality, latency, and cost while collaborating with technical teams and customers to drive adoption and revenue growth.

Highest-signal resume keywords

AI/ML Product DevelopmentModel Evaluation FrameworksDeveloper Experience OptimizationTechnical CollaborationAutomation in Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringML EngineeringModel Behavior AnalysisTask Quality MeasurementLatency OptimizationCost AnalysisAPI DevelopmentCoding AgentsModel RoutingMulti-Model Platforms

Soft Skills

Excellent Product InstinctsCustomer UnderstandingAdaptability

Tools & Technologies

LLM GatewaysCoding HarnessesAutomation Tools

Industry Keywords

Developer PlatformsEnterprise ExpansionIntelligent Model SelectionRouting PoliciesTechnical Challenges

About the role

Key responsibilities & impact

Own the product roadmap for Grid, from early developer adoption to production deployments and enterprise expansion
Work with researchers and engineers to improve intelligent model selection, routing policies, fallbacks, and controls
Build evaluation frameworks measuring task quality, completion time, latency, and total cost
Shape the developer experience for onboarding, configuration, observability, and routing decisions
Help customers understand why a model was selected and provide confidence and control over routing behavior
Address technical challenges involving conversation history, tool compatibility, prompt caching, retries, and routing overhead
Partner with go-to-market teams and customers to turn early pilots into sustained adoption and revenue growth

Requirements

What you’ll need

Experience building and commercializing AI/ML products or developer platforms, with demonstrated adoption or business impact
A technical background in software engineering, ML engineering, research, or equivalent hands-on experience
Experience working with researchers or ML engineers on model behavior, evaluation, or learned systems in production
Strong understanding of AI model quality, latency, cost, and the tradeoffs involved in optimizing across them
Excellent developer product instincts, with an appreciation for both simple APIs and enterprise-level controls
Hands-on experience using coding agents and a strong point of view on where automation helps developers and where they need control
Comfort building emerging products where the technical approach and customer expectations are still evolving
Nice to have: Experience with LLM gateways, model routing, AI agents, coding harnesses, or multi-model platforms

Benefits

Comp & perks

Competitive compensation, including meaningful equity
(U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities