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BasetenBasetenSan Francisco, CA

Manager, Solutions Architect

Leads and mentors a team of Solution Architects partnering with sales to translate customer needs into technical AI solutions, run discovery, demos, POCs, and deploy high-performance LLM applications on Baseten's platform. Requires 4+ years in solutions architecture with AI/ML expertise and 1+ year leadership.

165k – 330k/yr
Hybrid4+ YOEEngineering Management

About the role

Responsibilities

Leadership

  • Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development.
  • Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization.
  • Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives.
  • Player-coach – drive strategic product initiatives and customer engagements hands-on when needed.

Team Management

  • Lead team partnering with sales on customer discovery calls.
  • Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.
  • Own benchmarking and repeatable deployments for LLMs, embeddings, image/video generation, VoiceAI, etc.
  • Advise on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.
  • Drive consistent “playbook” style deployments for common models and use cases.
  • Become power user of runtimes such as vLLM, SGLang, TRT-LLM and configurations.
  • Drive POC and project execution: scoping, stakeholder alignment, project management, pulling in FDE support.

Requirements

  • AI/ML background to discuss topics credibly with technical stakeholders.
  • 4+ years professional Solution Architecture/Solutions Engineering experience, including 1+ year in leadership/mentorship.
  • Strong customer-facing communication skills for structured discovery and clarifying ambiguous requirements.
  • Technical depth to scope solutions without writing production code.
  • Ability to script and prototype, including “vibe coding” for quick workflows.

Nice to Have

  • Experience running/supporting benchmarks for ML inference deployments.
  • Familiarity with infrastructure tradeoffs for inference (GPU selection, latency vs throughput tuning).
  • Experience as cross-functional technical lead for customer POCs.
  • Professional software engineering experience.

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.
  • Paid parental leave.
  • Fertility and family-building stipend.
  • Company-facilitated 401(k).

Skills

LLMsAI/MLvLLMSglangTrt-LlmGPUH100B200InferenceBenchmarksDockerComfyui
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