Lead · Гибрид · Сан-Франциско, США · Английский B2
Навыки
Коммуникация
LLM
Инференс LLM
Machine Learning
Notion
RAG
Spark
О компании и продукте
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 https://www.baseten.co/blog/announcing-our-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.
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.
Задачи
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-LLM 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
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
Будет плюсом
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
Условия
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
If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you
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
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)
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Появилась в Вакандии30 дней
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ГрейдLeadвычитано из текста вакансии
Формат работыГибрид
ГеографияСан-Франциско, СШАвычитано из текста вакансии
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ashbyОсновная публикация · 2026-02-25
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BaseTen
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