Product Manager, Inference Platform

Rozgoo; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

Health insurance (family)

Flexible PTO

Parental leave

401(k) stipend

Exposure to ML startups

Job summary

Baseten is building a nascent product function and you’ll help define it. You’ll work directly with founders and top engineers to set the standard for product experiences, owning the surface that makes deployments fast, reliable, and economical at scale.

You’ll shape roadmaps, observe customer needs, and collaborate across platform and product teams to ship impactful AI infrastructure features.

Qualifications

• 8+ years of product management experience, with focus on infrastructure, distributed systems or ML serving.
• Ability to reason about scaling, routing, failover and cost/performance frontiers.
• Experience owning capabilities end-to-end from backend to UX and setting roadmaps.

Responsibilities

• Own deployment surface for autoscaling, routing, and failover across clusters and regions.
• Define how workloads scale and how traffic is observed by customers.
• Lead end-to-end product development across infrastructure and product teams.
• Drive cross-team roadmaps and dependencies to create new platform capabilities.

Job description

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.

Product at Baseten

Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the people who defines it. You'll work directly with our founders and with some of the best systems and AI engineers and you'll set the standard for what product looks like here. PMs at Baseten don't sit above engineers - you earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and just shipping great product experiences.

The role

Once a model is deployed, keeping it fast, reliable, and economical at scale is where production inference is won or lost. You'll own the surface that makes that happen: how deployments autoscale, how traffic is routed, how the system fails over, and how workloads scale across clusters and regions. You'll own these as products end to end - both how they work under the hood and how customers configure and observe them - and you'll help set and define the roadmap that infrastructure and product teams alike can build towards. This space is largely still evolving - think Cloud Infrastructure in mid-2000s. Your job is to make it 10x easier to reliably scale and serve AI models in production and set the market standard.

What you'll own

Autoscaling & placement - how deployments scale to demand (up under load, down to zero when idle) and where they land: one policy expressing region, compliance regime, and capacity preference, with compliance-bound workloads given right-of-way on sensitive capacity. Routing, traffic & failover - every request reaches a healthy replica, rolling deploys never drop traffic, region-aware routing with multi-region / active-active and fallback as first-class policy, health-aware recovery The release engine beneath safe rollouts - the traffic-shifting that powers canary/shadow/A/B, warm-ups, drain, and probes. Reliability as the metric - latency, throughput, uptime, and cost-efficiency at scale and a measurable decline in MTTR through self-serve incident management.

What we’re looking for

8+ years in product management, including deep experience with infrastructure, distributed systems, or ML serving. You reason fluently about scaling, routing, failover, and the cost/performance frontier - and you earn the respect of staff engineers doing it. You've owned capabilities end to end, backend through UX, rather than a single slice. You drive cross-team roadmaps and the dependencies beneath them, and you're at your best defining a category that doesn't fully exist yet.

Bonus:

hands-on with GPU infrastructure, Kubernetes, or serving frameworks like vLLM, TensorRT-LLM, or SGLang.

Not for You if

You prefer only strategy, UX, or writing great docs over doing whatever it takes to ship great products for customers. You lean toward applied AI over building platform, systems, GPUs, models, and scaling platforms and infrastructure. You're not interested in the foundational, sometimes unglamorous work of making AI systems reliable and scalable at the infrastructure level.

BENEFITS

• Competitive compensation, including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
• Paid parental leave
• Fertility and family-building stipend through Carrot Company-facilitated 401(k)
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

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. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance O