Топовая руководящая роль в самом горячем секторе AI, сочетающая ультрасовременный стек, очень высокую оплату и понятные перспективы роста.
Передовой стек
Отличная оплата
Трендовый домен
Огромный потенциал роста
Крутые бенефиты
Понятный scope
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Manager (Player & Coach) of Solution Architect Team (AI): Leading Solution Architects who translate customer needs into technical solutions, drive discovery, demos, proofs of concept, and high-performance AI inference deployments with an accent on LLM infrastructure, benchmarking, and deployment tradeoffs. Focus on mentoring the team, coordinating customer-facing POCs, optimizing latency and throughput, and guiding production AI systems for reliability and cost efficiency.
Location: Hybrid in San Francisco or New York, United States
Salary: $165K–$330K annually, plus equity
Company
Baseten provides applied AI research, infrastructure, and developer tooling for deploying mission-critical inference systems and AI products in production.
What you will do
Lead, mentor, and grow a team of Solution Architects while setting technical direction, delivery goals, and development plans.
Partner with Sales and customers on discovery calls, technical demos, solution scoping, success criteria, and deployment approaches.
Guide benchmarking and repeatable deployments across LLMs, embeddings, image and video generation, and VoiceAI.
Own customer POCs and projects by defining scope, timelines, deliverables, stakeholders, and next steps.
Act as a hands-on technical leader on strategic customer engagements and product initiatives.
Partner with Product, Infrastructure, and customer engineering teams to improve AI system performance, reliability, and cost efficiency in production.
Requirements
AI/ML background and the ability to discuss AI/ML topics credibly with technical stakeholders.
4+ years of professional Solution Architecture or Solutions Engineering experience, including 1+ year in a leadership or mentorship capacity.
Strong customer-facing communication skills, including structured discovery and clarification of ambiguous requirements.
Technical depth to scope solutions without needing to write production code.
Ability to script and prototype as needed, including comfort with fast, informal technical experimentation and “vibe coding.”
Nice to have
Experience running or supporting benchmarks for ML inference deployments.
Familiarity with GPU selection and latency-versus-throughput tradeoffs for inference performance and cost.
Experience serving as a cross-functional technical lead for customer POCs across Sales and Engineering.
Professional software engineering experience.
Culture & Benefits
Meaningful equity and competitive compensation.
For U.S. employees: 100% coverage of medical, dental, and vision insurance for employees and dependents.
Flexible PTO and a company-wide Winter Break from Christmas Eve through New Year's Day.
Paid parental leave and a fertility and family-building stipend through Carrot.
For U.S. employees: company-facilitated 401(k).
Exposure to a variety of ML startups with learning and networking opportunities.
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