165K–330K USD / year

Manager, Solutions Architect

Customer successHybrid — San Francisco, New York
Published on 2026-11-04
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Lead and mentor a team of Solution Architects while remaining hands-on in strategic customer engagements. Guide technical discovery, demos, proof-of-concept execution, and production deployments of AI inference workloads, partnering with Sales, Product, and Infrastructure teams.

About the company

Baseten is an inference cloud that helps companies run and scale AI models in production with flexible infrastructure and developer tooling.

The team

Solutions Architecture team within GTM.

Stack

LLMsvLLMSGLangTensorRT-LLMH100B200

What you'll do

  • Lead, mentor, and develop Solution Architects; set goals and oversee delivery across customer projects.
  • Partner with Sales on customer discovery, technical demos, and solution scoping.
  • Guide benchmarking and repeatable deployments for models and use cases across text, image, video, and voice.
  • Drive POC planning and execution, aligning stakeholders on timelines, deliverables, and next steps.
  • Advise customers on inference infrastructure and performance tradeoffs, including GPU selection and latency versus throughput.
  • Partner with Product, Infrastructure, and customer engineering teams to improve production performance, reliability, and cost efficiency.

What we're looking for

  • AI/ML background and ability to discuss technical topics credibly with stakeholders.
  • 4+ years of Solution Architecture or Solutions Engineering experience, including 1+ year in leadership or mentorship.
  • Strong customer-facing communication and structured discovery skills.
  • Technical depth to scope solutions without needing to write production code.
  • Ability to script and prototype, including using rapid coding workflows.

Nice to have

  • Experience benchmarking ML inference deployments.
  • Familiarity with inference infrastructure tradeoffs, GPU selection, and performance tuning.
  • Experience leading cross-functional customer POCs with Sales and Engineering.
  • Professional software engineering experience.

Benefits

  • Meaningful equity.
  • 100% medical, dental, and vision coverage for employees and dependents (U.S.).
  • Flexible PTO and company-wide winter break.
  • Paid parental leave.
  • Fertility and family-building stipend.
  • Company-facilitated 401(k) (U.S.).
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