Solution Architect

🏢 ОфисMiddleПолная занятость

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Наша компания

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. 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. We're growing quickly and recently raised our $1.5B Series F led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.

О роли

As a Solution Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering

Чем предстоит заниматься

Partner with Sales on customer discovery calls (most 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

Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc

Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups

Driving consistent “playbook” style deployments for common models and use cases

Become a power user of different runtimes such as vllm, sglang, and TRT-LMM and all the common configurations and tradeoffs between them

Drive POC and project execution, including

Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps

Acting as the “ringleader” or project manager for POCs

Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed

Наши требования

AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders

Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements

Technical depth to scope solutions, without needing to write production code

Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows

Experience running or supporting benchmarks for ML inference deployments

Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning)

Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering

Мы предлагаем

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 (our offices are closed from Christmas Eve to New Year's Day!)

Paid parental leave

Fertility and family-building stipend through Carrot

Company-facilitated 401(k)

Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities

Baseten

San Francisco

ГрейдMiddle

ЗанятостьПолная занятость

РегионСША

ФорматОфис

ИсточникСкрыто

Опубликовано25 февр.

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