
Senior Technical Recruiter at Nace AI (Palo Alto, CA)
Nace AI· Palo Alto, CA· $120k–$140k·
Role details
Job description
About the Job
This role is on-site in Palo Alto, CA. Nace AI is building the next generation of enterprise intelligence — advanced long-horizon reasoning models and autonomous agents designed to execute complex financial workflows with precision. Our flagship product, Agentic Accounting, enables financial audit, billing audit, and revenue leakage detection with speed and accuracy that traditional systems cannot match. We are at a pivotal stage in our growth. While we’ve already achieved $20M in funding, our ambitions are much larger. Our goal is to become the foundational AI platform for intelligent financial operations across the enterprise. To do that, we need exceptional people — and that starts with hiring the right team. The work we are doing has meaningful impact across industries, and every hire at Nace AI plays a critical role in shaping the company’s trajectory. This is a unique opportunity to join a high-conviction AI company at an early stage and directly influence its growth.
If building a world-class AI team from the ground up excites you, we’d love to talk.
What You’ll Do
- Full-cycle recruiting for critical technical and business roles — from proactive sourcing and cold outreach to closing candidates and scaling teams from the ground up.
- Design and implement scalable hiring processes, including structured interviews, scorecards, and recruiting metrics that evolve with company growth.
- Partner closely with founders and hiring managers to define role requirements and translate business priorities into actionable hiring strategies.
- Build and nurture high-quality talent pipelines across AI/ML, engineering, and other key functions.
- Deliver an exceptional candidate experience that reflects our standards, ambition, and values.
- Act as a strategic storyteller — articulating Nace AI’s mission and long-term vision in a way that attracts top-tier talent in a competitive market.
Who Your Are We aren't looking for a specific number of years on a resume; we’re looking for the right DNA. Whether you’ve been doing this for two years or ten, if you have the technical intuition to vet engineers and the hunger to build a world-class team from the ground up, you belong here.
The Must Haves
- Technical Fluency: You don't just "keyword match." You understand the nuances of Engineering, AI/ML, and infra, and you can speak the language of the candidates you’re chasing.
- The "Hunter" Instinct: You can find and engage elite, passive talent.
- High-Growth Grit: You thrive in the organized chaos of an early-stage startup. You don’t need a manual; you build the manual.
- Compelling Communication: You are a storyteller who can influence both skeptical candidates and internal stakeholders with clarity and confidence.
- Radical Ownership: You are highly organized and can juggle high-priority searches without letting a single candidate experience slip through the cracks.
- Builder Background: You have a technical degree and have previously worked in a technical role.
Bonus points
- Architect Mindset: You’ve built a recruiting function or interview process from scratch before.
- Local Pulse: You have a strong network or familiarity with the Bay Area technical talent ecosystem.
Why work at Nace AI
- Culture: Fast‑paced research‑first environment assembling a “world‑class team” to solve high‑stakes scaling challenges in AI reasoning.
- Work model: Hybrid workspace (Palo Alto offices); many roles are in‑office for close collaboration on complex ML and product work.
- Team composition: Heavy technical concentration (45% of staff are engineers/researchers), with deep domain expertise from ex‑Dropbox, Bloomberg, McKinsey, and AI labs.
- Impact: Build infrastructure that gives audit, compliance, and finance professionals their time back – directly reduces manual drudgery in multi‑billion‑dollar compliance markets.
- Perks: Not explicitly detailed, but the company emphasizes “autonomy, impact, and working on the hardest AI problems in enterprise.”