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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in building and shipping AI/ML products, with a strong technical background in software engineering and ML engineering. Capable of leading cross-functional initiatives and translating technical capabilities into developer-friendly products and measurable business impact.
Highest-signal resume keywords
10+ Years AI/ML Product ExperienceModel Serving ExpertisePyTorch Framework ProficiencyCross-Functional LeadershipDeveloper Product Instincts
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML Product DevelopmentModel DeploymentInfrastructure BuildingTechnical StrategyModel Evaluation
Soft Skills
Exceptional CommunicationCustomer EngagementCollaborative Problem-Solving
Tools & Technologies
PyTorchTensorRT-LLMVLLMSGLangNVIDIA Dynamo
Industry Keywords
Developer AdoptionProduct RoadmapGTM CollaborationModel APIsGPU Economics
Tech Stack
Tools & technologiesPyTorch
About the role
Key responsibilities & impact- Own product strategy and roadmap across Baseten's inference offerings, focusing on developer adoption and business impact
- Make it easier for developers to discover, evaluate, deploy, and manage AI models through APIs, SDKs, CLI, and console
- Work with inference engineers and researchers to turn technical advances into customer-facing capabilities
- Help determine which models, workloads, and customer needs to prioritize
- Partner with GTM and leadership on pricing, packaging, launches, and commercialization
- Spend time with developers and customers to understand needs and inform product development
- Shape products including Model APIs, Dedicated Inference, Model Evaluations, and the Model Library
Requirements
What you’ll need- 10+ years building and shipping AI/ML products or platforms
- A technical background in software engineering, ML engineering, research, or equivalent hands-on experience
- Direct experience building or deploying models using technologies like PyTorch, TensorRT-LLM, vLLM, SGLang, NVIDIA Dynamo, or similar frameworks
- Strong understanding of model serving, GPU economics, and the tradeoffs between quality, latency, throughput, and cost
- Exceptional developer product instincts
- A track record of leading cross-functional product initiatives and turning technical capabilities into measurable adoption or revenue growth
- Experience deploying models, building infrastructure products, building ML infrastructure, or designing tools used from both a terminal and a console (nice to have)
- Past experience as a software developer (nice to have)
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
