Latent
Principal Technical Sourcer
San Francisco · Principal
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About the role
- It's about taste, curiosity, and persistence.
Responsibilities
- Own outbound sourcing for technical roles (primarily software engineers)
- Partner closely with recruiters and hiring managers to define "great"
- Build long-term candidate relationships, even when timing isn't right
- You're comfortable with ambiguity and like building from scratch
- One engine works across the pharmacy journey to identify patients who qualify for care, improve medication access, capture eligible prescriptions and support patients throughout treatment.
Requirements
- You enjoy the puzzle of finding people others can't
Nice to have
- Uses AI tools in your workflow and is always looking for ways to move faster with them
- Backed by top-tier investors including General Catalyst, Conviction, and Y Combinator
- Real ownership and visibility
- High-impact role on a small, fast-growing team
- Opportunity to help define the sourcing playbook
- Close partnership with recruiters and founders
- Exposure to the strongest Tech Startup Eco-System
- You have 1-4+ years of technical sourcing experience (startup experience a plus)
Compensation
- Competitive compensation, including meaningful equity
Benefits
- Competitive compensation, including meaningful equity
- Medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy
- Paid parental leave
- Fertility and family-building stipend through Carrot
- Latent is the enterprise pharmacy intelligence platform, powered by a clinical agentic engine, that enables health systems to grow their pharmacy operations and serve more patients.
- Latent's platform enables more than 60 leading health systems that collectively serve an estimated 70 million people.
Company info
- Founded by Sriram "Sri" Somasundaram and Rishabh Jain, Latent has raised $80 million from Transformation Capital, Spark Capital, Conviction, General Catalyst, Y Combinator, and others.
This listing is sourced directly from Latent's careers page and normalized into a canonical job model.