Head of Engineering

Unimatch Lab; United States; Remote; USD 167,000 - 279,000; Full time

Benefits offered by this job

Equity or options in products you lead

Startup inside venture studio

Exposure to Silicon Valley funds

Portfolio of AI products in production

Job summary

Unimatch Lab, техасский стартап‑провайдер, находится в Сан-Франциско и управляет портфелем продуктов в области будущего труда, долголетия и образования с использованием агентной архитектуры ИИ. Ваша роль — возглавлять инженерную функцию холдинга, устанавливать процессы разработки и формировать организацию, ориентированную на рост и масштабирование.

Требуется глубокий опыт в ИИ и архитектуре систем, управлении DevOps и ML‑практиками, умение работать в стартап‑цикле и мыслить бизнес‑продажами.

Qualifications

• Опыт руководства инженерной командой в масштабе нескольких продуктов и команд.
• Глубокие знания ИИ: LLM, оркестрация AI‑пайплайнов, архитектуры и их пределы, аппаратное обеспечение и память.
• Опыт DevOps и ML и умение двигаться от идеи до роста стартапа.

Responsibilities

• Возглавлять инженерные усилия по всему холдингу, выступать техническим дверным воротом для технических лидеров, CTO, инженеров и инфраструктуры.
• Установить систему разработки: планирование, бэклог, отчётность и метрики, чтобы обеспечить прозрачность и предсказуемость доставки.
• Формировать архитектуру и организации: нанимать персонал, формировать команды, определить ответственность, устанавливать общие стандарты планирования и выпуска.

Skills

Engineering leadership

AI/ML architecture

DevOps

Transformer math

Product & business thinking

Education

STEM or engineering degree

Tools

Kubernetes

Job description

Описание:

Unimatch Lab is an AI-agent-run venture builder from San Francisco. Its portfolio includes seven products across Future of Work, Longevity, Kids Universe, and Education.

Задачи:

• Own engineering across the holding, serving as the technical gate for technical leads, product CTOs, engineers, and infrastructure
• Establish the development system, including planning, backlog, reporting, and metrics, to make delivery transparent and forecastable
• Make the workflow usable across all portfolio products
• Prioritize, track, and close parallel workstreams while maintaining an overview
• Build the engineering organization by hiring, structuring squads and cross-functional teams, and assigning ownership
• Design and run the engineering compensation model
• Manage daily tracking of work in progress, blockers, shipped work, and pending work
• Shape the organization to support team growth without manually managing every thread
• Set and maintain shared engineering standards for planning, reviewing, and shipping work across portfolio products
• Make architecture trade‑off decisions at holding level, including stack, patterns, and hardware, memory, and model architecture constraints
• Unblock production problems hands‑on by prototyping, working with Kubernetes, debugging, and shipping
• Take the AI‑agent orchestration architecture from design to production
• Own the engineering of agent pipelines, harnesses, and wrappers as a production system

Требования:

• Experience building and running engineering at scale across several products and teams of tens of people, including from scratch
• Deep AI background covering LLMs, AI‑pipeline orchestration, architectures and their limits, hardware, memory, transformer math, and RL
• Background spanning DevOps through ML
• Experience across the full startup cycle: idea, PMF, funding rounds, and growth
• STEM or engineering degree
• Fluent English and written and spoken Russian
• Ability to manage many parallel workstreams, work with large datasets, and ship hands‑on, including prototypes, Kubernetes work, and production debugging
• Experience in organizational management, daily tracking, and hiring; strong engineers choose to work with you, and you think in product and business terms, not only code
• Будет плюсом: Big-tech experience, hardware and devices, deep work in TTS/STT and conversational AI, agent harnesses, wrappers and AI‑agent orchestration, startup experience through IPO, top‑tier university education

Условия:

• Fixed monthly pay + quarterly bonuses
• Equity or options in products you create and lead
• Option to launch your own startup inside the venture studio with its infrastructure, team, funding, and network
• Work with top venture funds from Silicon Valley and a strong professional team
• Access to a portfolio of AI products in production and regular exposure to leading AI solutions shipped to production
• B2B contract; sync windows by agreement, including CET and other time zones as needed