23 часа назад
Engineering Manager (Applied AI)
250 000 - 425 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager (Applied AI): Leading and developing Applied AI engineers who build and deploy production AI systems inside complex enterprise environments with an accent on hands-on technical leadership, team growth, and customer delivery. Focus on making architecture decisions under ambiguity, setting engineering standards, integrating enterprise systems, and feeding deployment insights back into Mosaic.
Location: New York City, United States. On-site role with a couple of customer-site days each month and additional presence during deployments or when the team needs in-person support.
Salary: $250,000–$425,000 annually, plus equity.
Company
applies AI to transform critical institutions in healthcare, manufacturing, energy, and other industries through embedded engineering, product, and research expertise.
What you will do
- Lead and develop a small team of Applied AI Engineers working on customer engagements.
- Stay hands-on in the codebase through design reviews, pairing, code reviews, and direct intervention during at-risk launches.
- Own technical outcomes, make difficult architecture decisions, and establish standards for code quality, testing, reviews, and documentation.
- Build trusted technical relationships with customer operators and executives while guiding production AI deployments in complex enterprise environments.
- Identify recurring customer and deployment problems and help improve Mosaic, ’s toolkit for agentic workflows.
- Interview candidates, calibrate hiring decisions, and help grow the engineering organization.
Requirements
- 7+ years building production software, including at least 2 years leading or managing engineers.
- Hands-on experience writing Python and TypeScript code.
- Demonstrated ability to improve engineers through deliberate feedback, coaching, and meaningful stretch assignments.
- Strong systems design judgment, including architecture trade-offs, technical decision-making, and operating with incomplete information.
- Fluency with LLM engineering concepts including agents, tools, context, evaluations, and AI development tooling.
- New York City-based and able to work on-site, including at customer locations as needed.
Nice to have
- Experience managing a team through a production launch in another company’s enterprise environment.
- Enterprise integration experience with EHRs, ERPs, RCM, supply chain, or workforce systems.
- Domain expertise in healthcare, energy, manufacturing, or financial services.
- Forward-deployed, consulting, design partner, startup, or founding engineer experience.
- Experience building tooling or frameworks used by multiple teams.
Culture & Benefits
- Equity in addition to the base salary.
- Hands-on, high-agency environment focused on customer outcomes and production delivery.
- Direct, specific feedback balanced with kindness and trust.
- Flexible working hours without monitoring time, with an expectation of sustained commitment rather than a strict 9-to-5 schedule.
- Close collaboration across engineering, engagement, growth, product, and research functions.
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