Lead Talent Partner - Engineering

Ode with Anthropic•San Francisco, CA

8d•$150,000 - $200,000•Hybrid

About The Position

Ode with Anthropic is defining frontier AI and bringing it into practice. They are a team of experienced builders focused on getting complex AI systems into production and tackling consequential AI problems for companies. They work closely with client Applied AI and Product teams to turn frontier technology into real-world impact. Ode is backed by prominent investors and has offices in SF, NYC, Raleigh-Durham, and Dubai. The role of Lead Talent Partner - Engineering is crucial for building Ode's team, as talent is considered their product. The focus is on identifying and hiring exceptional talent, with a primary emphasis on engineering hires, but with opportunities to work across functions as the company grows. The goal is to make Ode the best place to learn applied AI.

Requirements

4+ years of experience recruiting exceptional engineering talent.
Experience building foundational engineering teams in early-stage or high-growth environments.
Strong hiring judgment: ability to make thoughtful, evidence-based hiring decisions and earn trust.
Technical fluency: understanding of modern engineering organizations to engage credibly with candidates and leaders.
Leadership through influence: ability to elevate others by sharing knowledge, mentoring, and driving improvements.
Builder mindset: enjoyment in improving systems, challenging processes, and using AI, automation, and data.
High ownership: moving with urgency, following through on commitments, and taking responsibility for outcomes.

Responsibilities

Own critical engineering searches from strategy through close.
Partner with engineering leaders to identify, engage, and hire exceptional software engineers across senior, staff, and principal levels.
Partner with hiring managers to develop hiring strategies, advise on talent markets, calibrate interview quality, and act as a trusted thought partner.
Raise the recruiting bar by sharing best practices, mentoring teammates, and strengthening hiring judgment across the recruiting team.
Build better recruiting systems by continuously improving recruitment processes through data, AI, experimentation, and thoughtful design.
Contribute to interviewer enablement, recruiting operations, sourcing strategy, and the systems that enable scaling while maintaining exceptional hiring quality.