Open Select Rec · 1 day ago
Applied AI Lead (Enterprise)
San Francisco Bay Area
Full-time
Onsite
Mid, Senior Level
$0/yr - $450K/yr
5+ years expOpen Select is an early-stage AI company building an AI operating system for organizations. The Applied AI Lead will define strategy, lead a team of AI engineers, and develop enterprise-level AI systems for high-stakes decision-making.
AppsInternetMobile Apps
No H1B
Hiring Manager
Matt Geppert
Responsibilities
Define the strategy and roadmap for Applied AI across product and customers
Build and lead a high-performing team of AI engineers and applied ML practitioners from the ground up
Own the development and deployment of the AI operating system for enterprise clients, from prototype to production
Take responsibility for reliability, evaluation, monitoring, and failure modes of enterprise AI systems
Work directly with the CEO and founding team to shape core architecture and long-term technical direction
Design and ship agentic systems that reason across tools, take action, and improve with organizational context
Qualification
Required
5+ years in software engineering, including 3+ years building applied AI or ML systems
You have personally shipped AI products used by paying customers, not just demos or experiments
Strong hands-on experience with LLMs, agents, retrieval, evaluation, and production deployment
Comfortable as a hands-on leader. You can architect systems, write code, and hire the right team around you
You thrive in early-stage environments with ambiguity, speed, and high ownership
Work authorization: At this time, we're only able to consider candidates authorized to work in the US (US citizens, Green Card holders, or TN visa holders)
Preferred
Bonus experience with enterprise SaaS, data platforms, CRMs, analytics, or deeply integrated internal tools
Benefits
Meaningful equity
Free food and transport
Dog-friendly office
Company
Open Select Rec
At Open Select, we partner with some of the most ambitious startups and high-growth companies shaping the future of technology, from early-stage ventures backed by a16z, YC, and General Catalyst, to scale-ups driving transformation in FinTech, AI, and Deep Tech.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase