Manager, Solutions Architect
Baseten · San Francisco
About this role
## About Baseten Baseten powers mission-critical inference for the world’s most dynamic AI companies (e.g., Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer). By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we help frontier AI companies bring cutting-edge models into production. We’re growing quickly and recently raised **$1.5B Series F** (led by Altimeter Capital, Conviction Partners, and Spark Capital). Join us to help build the platform engineers turn to ship AI products. --- ## The Role As **Manager (Player & Coach) of the Solution Architect team**, you’ll lead and mentor a team of Solution Architects who partner closely with **Sales** and **customers** to: - Translate business needs into technical solutions - Run technical discovery - Guide repeatable deployments and proofs of value (POVs) You’ll combine hands-on technical ownership with managerial leadership—driving discovery calls, demos, technical scoping, and POCs through to execution. You’ll also help design, deploy, and manage **high-performance, low-latency AI applications** on Baseten’s platform. You’ll partner with **product, infrastructure, and customer engineering teams** to ensure LLMs and other generative AI systems deliver best-in-class **performance, reliability, and cost efficiency** in production. --- ## Example Initiatives - Forward Deployed Engineering on the frontier of AI: https://www.baseten.co/blog/forward-deployed-engineering/ - The fastest, most accurate Whisper transcription: https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/ - Deploy production-ready model servers from Docker images: https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/ - Deploy custom ComfyUI workflows as APIs: https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/ --- ## Responsibilities ### Leadership - Lead, mentor, and grow a team of Solution Architects (technical direction, 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 - **Player-coach:** be a key driver on strategic product initiatives and customer engagements—hands-on when needed ### Team Management Your team will: - Partner with Sales on customer discovery calls (often second calls; occasionally first calls for large accounts) - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach - Own benchmarking and repeatable deployments, including standard deployment patterns across modalities (LLMs, embeddings, image/video generation, VoiceAI, etc.) - Advise on tradeoffs like **H100 vs B200** and latency-optimized vs throughput-optimized setups - Drive consistent “playbook”-style deployments for common models and use cases - Become power users of runtimes such as **vLLM, SGLang, and TRT-LLM** (configurations and tradeoffs) - Drive POC and project execution: - Scope POCs and keep stakeholders aligned on timeline, deliverables, and next steps - Act as the “ringleader” / project manager for POCs - Pull in Forward Deployed Engineering (FDE) support when deeper technical work is needed --- ## Requirements - AI/ML background and ability to credibly discuss AI/ML topics with technical stakeholders - **4+ years**
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