What are the responsibilities and job description for the Strategic AI Support Engineer position at AI Fund?
About Baseten
Baseten powers inference for the world's most dynamic AI companies, like
The Role
You 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.
Responsibilities
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.
Baseten powers inference for the world's most dynamic AI companies, like
The Role
You 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.
Responsibilities
- Diagnose 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.
- 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.
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.
