Aiuc

Founding Talent Partner

San Francisco

Sponsorship not specifiedDetected 43 days ago

CybersecuritySalesRecruitingIntercomUnderwriting

About the role

Designing and managing candidate pipelines with a focus on transparency and high-touch experience candidates should leave the process feeling good about AIUC regardless of outcome
Every candidate you speak to is a brand interaction.
Representing AIUC externally you're often the first person a candidate speaks to, and that matters

Own full-cycle recruiting across non-technical roles, from role intake and calibration through sourcing, outreach, screening, process management, offer strategy, close, and candidate experience.
You'll own the full-cycle recruiting for a broad range of roles without dropping quality, candidate experience, or speed.
You'll be a strategic partner to the founding team shaping how we think about where to find talent, what good looks like for each profile, and how we build AIUC's reputation as an employer.
Partnering with the founding team to define role requirements, set hiring strategy, and build sourcing plays including market mapping and talent pools.
Say the scary thing, create connection, make room for emotions

You know what it feels like to run multiple senior searches simultaneously and still give each one proper attention.
You can convey the AIUC mission and open roles to a security engineer and a McKinsey principal alike, making each feel like the opportunity was written for them.
You have worked alongside high-growth SaaS sales organizations, come from a consulting background, or bring meaningful exposure to international markets.
You have integrated AI into your recruiting workflows or have experimented with agents and automation tools to make your process faster and smarter.

Soon, agents will take on critical work in hospitals, banks and governments.
History teaches us that standards and insurance are capitalism's best tools for making risk legible and shaping incentives.

This listing is sourced directly from Aiuc's careers page and normalized into a canonical job model.