OpenAI6 дней назад
Руководитель прикладной разработки AI для стартапов
Зарплата не указана
РЫНОК
26 250 ₽медиана по профессии
AI Researcher · 36 вакансий с указанной зарплатой
5 600половина предложений: 16 785–65 900143 300
Работодатель не указал зарплату — сравните с рынком сами.
Полная занятостьУдалёнка
Обязанности
- 01Craft and continuously refine the strategic vision and operating model for the Startups Applied AI Engineering team
- 02Lead, mentor, and grow a team of high-performing technical ICs supporting startup customers
- 03Help startups move from early experimentation to production usage by identifying technical blockers, advising on architecture, and driving practical paths to deployment
- 04Partner closely with Sales to determine where technical engagement can accelerate adoption, production usage, and long-term account growth
- 05Represent the technical voice of startup customers by synthesizing high-signal feedback
- 06Translate recurring startup needs into repeatable playbooks, starter packs, reference architectures, internal tooling, and customer-facing assets
- 07Serve as a senior technical escalation point for priority startup customers
- 08Balance urgent customer needs with OpenAI's broader product and platform priorities
- 09Coach Applied AI Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership
- 10Partner across Sales, Product, Engineering, Research, and other GTM teams to improve how OpenAI supports startups
Требования
- 01Proven experience founding, scaling, or operating within early-stage startups, ideally in technical leadership roles
- 02Strong track record of building and leading technical, customer-facing teams in high-growth, ambiguous, or startup-heavy environments
- 03Strong technical depth across APIs, platform products, AI/ML systems, developer workflows, and production deployment considerations
- 04Experience creating scalable operating models, not just managing one-off customer escalations
- 05Comfortable working directly with founders, CTOs, technical executives, and highly technical ICs
- 06Strong judgment about when to go deep for a strategic customer versus when to build repeatable mechanisms
- 07Ability to translate complex technical and product considerations into clear decisions, practical guidance, and customer-facing recommendations
- 08Operate with speed, iteration, and pragmatic customer impact without sacrificing quality, safety, or long-term platform strategy
- 09Personally committed to fostering the safe and beneficial development of AI