ABOUT BASETEN
Baseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. 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. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling our team to meet accelerating customer demand.
The RoleYou will serve as the primary post-sales technical owner for our most strategic customers, ensuring smooth deployment, performance, and reliability of ML workloads in production. You’ll own the technical success and long-term outcome of our strategic and enterprise accounts by managing and resolving escalations, maintaining and improving our runbooks, and proactively surface patterns that drive product improvements. This role blends hands-on debugging, infrastructure expertise, AI model performance monitoring, and executive-level customer-facing ownership. You’re of course not alone in this endeavor — partnering closely with product, engineering, and forward-deployed teams to remove technical friction, drive adoption, and ensure long-term success for high-value accounts.
ResponsibilitiesDiagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management.
Debug infrastructure issues across Kubernetes (pods, controllers), networking, observability, and alerting systems.
Lead incident response during outages or escalations, managing coordination between Product, FDE, Sales, and Engineering.
Serve as the technical owner for top enterprise accounts with strict SLAs and high responsiveness expectations.
Identify common failure modes and translate user feedback into roadmap signals, product improvements, our internal runbooks, knowledge bases, and diagnostic best practices.
Own project coordination end-to-end: scoping, execution, communication, and stakeholder alignment across technical and non-technical teams ranging from feature requests, new deployments, and operational debugging issues.
Deep Kubernetes troubleshooting expertise, including advanced resource debugging, pod/runtime analysis, and log-based diagnostics using observability tooling such as Grafana, Loki, and Prometheus.
Strong infrastructure debugging ability across container orchestration, networking, and service dependencies, with hands-on experience supporting production-grade clusters.
Experience managing high-severity incidents with major customers, including SLAs, post-incident reviews, and clear communication throughout escalations.
Proven project management and organizational skills with an ownership mindset, able to manage multiple complex, multi-stakeholder initiatives in parallel — including issue resolution, root-cause analysis, and feature delivery.
Ability to translate recurring technical pain points into roadmap-level insights, documentation improvements, or product enhancements.
Strong communication skills and executive presence during high-visibility situations, ensuring technical clarity and customer confidence.
3+ years of experience in a fast-paced, high-growth, or customer-facing engineering environment.
Familiarity with running high-performance AI models and workloads, including troubleshooting ML pipelines from preprocessing through inference and serving.
Experience implementing or managing ticketing and incident-response systems such as Zendesk or Pylon.
Familiarity with Helm, Flux, CI/CD tooling, or scripting automations to improve deployment, release, or operational workflows.
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.
Top Skills
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
