Product Manager - Infrastructure

Sorry, this job was removed at 10:07 p.m. (CST) on Friday, Feb 27, 2026
2 Locations
Hybrid
Software
The Role

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.

THE ROLE

As an Infrastructure Product Manager at Baseten, you’ll own the roadmap for our core inference and compute infrastructure, ensuring our platform delivers world-class reliability, scalability, and performance. You’ll work closely with engineering teams to define how we handle large-scale distributed systems, optimize GPU utilization, and provide enterprise-grade security and observability. This is a deeply technical role that bridges engineering excellence and customer impact, ensuring Baseten’s infrastructure is a foundation our users can depend on.

EXAMPLE INITIATIVES

You'll get to work on these types of projects as part of our Infrastructure team:

  • Multi-cloud capacity management

  • Inference on B200 GPUs

  • Multi-node inference

  • Fractional H100 GPUs for efficient model serving

RESPONSIBILITIES

  • Define the product vision and roadmap for Baseten’s inference, serving, and orchestration infrastructure

  • Collaborate with engineering to improve the reliability, latency, and cost efficiency of model deployments

  • Partner with Forward Deployed Engineering and customer teams to translate performance needs into infrastructure investments

  • Drive internal platform scalability from multi-GPU support to hybrid cloud architecture

  • Establish metrics for uptime, latency, and cost, ensuring we deliver best-in-class performance and efficiency

  • Lead cross-functional initiatives around observability, deployment automation, and infrastructure security

REQUIREMENTS

  • 4+ years of Product Management experience in developer platforms, infrastructure, or ML systems

  • Engineering background (e.g., degree in Computer Science, Electrical Engineering, or related field; or equivalent hands-on experience as a software engineer)

  • Strong technical understanding of distributed systems, cloud computing, and GPU-based workloads

  • Proven track record of shipping technical products with measurable reliability or performance improvements

  • Excellent communication and prioritization skills with deeply technical teams

NICE TO HAVE

  • Experience with Kubernetes, autoscaling systems, or inference optimization

  • Understanding of LLM and multimodal model serving

  • Prior experience at a company building infrastructure for ML or developer tools

BENEFITS

  • Competitive compensation, including meaningful equity.

  • 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Company-facilitated 401(k)

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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The Company
59 Employees

What We Do

At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently. Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models. We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic. Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature

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