About the company
Our client is a fast-growing artificial intelligence company.
The role
Raydar is recruiting for this role on behalf of our client. Build the sales pipeline from the ground up as the first go-to-market hire at an early-stage software business. The role focuses on generating qualified leads and booked meetings through outbound channels, testing approaches to see what converts, and scaling the methods that work, with the chance to build a team later.
What you'll do
- Generate qualified leads and book meetings through outbound prospecting.
- Test different outreach channels and keep the approaches that perform.
- Run outbound sales as repeatable experiments and refine them quickly.
- Build and lead a sales team around successful methods, if they prove out.
Requirements
What we're looking for
- Hands-on outbound sales experience across cold email, LinkedIn and social direct messages, with a clear view of each channel's trade-offs.
- Able to run outbound work independently without close supervision.
- Enthusiastic about AI tools and uses them routinely to work more effectively.
- Experience at a fast-growing startup.
- Willing to take feedback and bet on their own judgment.
- 0 to 5 years of relevant experience.
Benefits
Compensation and benefits
- Base salary: USD 80,000 to 150,000 per year
- Performance bonus
Location and work model
- San Francisco, CA, United States
- On-site (in-person)
- Full-time
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



