Alpaca Health
Head of Talent Engineering
2w ago
80000 –140000 USD / yearUSAHead
Lead the development of a high-performing talent acquisition system combining recruiting, automation, AI, software, and operations for a startup environment.
Requirements
- Building a generational company requires exceptional people.
- You're energized by ambitious goals, move with urgency, and care deeply about quality.
- You believe recruiting is one of the highest-leverage functions inside a startup.
Conditions
- This is a rare opportunity to define how a company hires from its earliest days.
- You'll build a recruiting function powered by AI from the ground up, partner directly with the founders on every strategic hire, and shape the culture, velocity, and trajectory of the business.
- If you enjoy building systems that compound, experimenting with new technology, and helping exceptional people find meaningful work, you'll have enormous ownership here.
- Competitive salary
- Meaningful equity
- Comprehensive health benefits
- Flexible PTO
- Dinner when working late
- Work alongside an ambitious, high-performing team in NYC
Other
- Alpaca Health enables clinicians to become entrepreneurs, starting in autism care.
- We help clinicians launch and scale their own clinics by providing AI-powered software, payer contracting, and full back-office infrastructure. Our goal is simple: make it dramatically easier for exceptional clinicians to build independent practices.
- We've raised over $14M from investors including Core Innovation Capital, Adverb Ventures, and South Park Commons. Today we're serving hundreds of families and growing over 30% month over month.
- We're building a generational company, and that starts with building an exceptional team.
- This is a full-time role based in New York City. We work together in person five days per week.
- We believe recruiting is an engineering problem.
- The best companies don't simply hire great people. They build systems that consistently discover, attract, evaluate, and close exceptional talent before everyone else.
- As our Head of Talent Engineering, you'll build that system.
- You'll combine recruiting, automation, AI, software, content, operations, and storytelling to create one of the highest-performing talent engines in startups.
- You'll recruit incredible people yourself, but just as importantly, you'll design the machine that makes exceptional hiring inevitable.
- The people you hire and the systems you build will directly determine Alpaca's trajectory.
- Design the infrastructure that powers hiring across the company.
- This includes:
- AI-powered sourcing systems
- Recruiting automations and workflows
- Candidate research pipelines
- Outreach engines
- Interview infrastructure
- Recruiting analytics
- Talent CRM
- Hiring dashboards
- Internal recruiting tools
- You'll constantly ask:
- "How can software replace manual recruiting work?"
- Own executive and critical hiring across engineering, product, GTM, operations, clinical leadership, and emerging functions.
- You'll partner directly with founders to define roles, build candidate pipelines, run interview processes, and close world-class talent.
- We care far more about talent density than hiring volume.
- The best candidates rarely apply.
- Develop creative ways to identify talent before anyone else through:
- AI research
- Outbound sourcing
- Community building
- Referral networks
- Events
- Content
- University partnerships
- Open-source contributions
- Founder networks
- Custom datasets
- You enjoy solving the puzzle:
- "Where are the exceptional people nobody else is talking to?"
- Recruiting should improve every month.
- Design systems that continuously increase speed, quality, and leverage.
- Examples include:
- AI sourcing agents
- Automated candidate enrichment
- Personalized outreach generation
- Scheduling automation
- Candidate scoring
- Interview calibration
- Offer workflows
- Recruiting dashboards
- Knowledge management
- You think like an operator and build like an engineer.
- Partner closely with hiring managers to define excellence.
- Improve interview quality.
- Design better work samples.
- Challenge assumptions.
- Continuously improve how we evaluate talent.
- The goal isn't simply filling positions.