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Manager (Player & Coach) of Solution Architect Team (AI)

165 000 - 330 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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