Gigaml
Enterprise Sales Development Representative
San Francisco · Vp
Sponsorship not specified$80k-$120kDetected 149 days ago
Agentic AISalesOutbound SalesResearchLeadership
About the role
- We're looking for a high-performing Sales Development Representative (SDR) who's ready to accelerate their career in enterprise sales.
- If you thrive in fast-paced environments, love turning conversations into opportunities, and enjoy being part of a team that scales with purpose, this is your stage.
Responsibilities
- Own outbound prospecting: Drive quality conversations with enterprise prospects through calls, email, and social.
- Partner to win: Collaborate closely with AEs to refine strategy, messaging, and account targeting.
- Perform above the bar: Meet and exceed goals for qualified pipeline and meetings consistently.
- Giga builds AI agents trusted by the largest B2C companies in the world.
- Industry leaders like DoorDash rely on Giga to automate complex support and operations workflows across voice, chat, and email.
- At Giga, you'll learn from top sales operators, sell a world‑class AI product, and collaborate with some of the biggest brands on the planet.
Nice to have
- 1+ years of SDR or BDR experience in B2B tech or SaaS
- Proven record of success prospecting into enterprise accounts ($100K+ deals)
- Excellent communicator - confident on the phone and skilled at getting replies from VP- and C-level leaders
- Competitive and team-oriented ideally with a background in sports, teaching, finance or other performance-driven environments
- Relentlessly curious, growth‑minded, and serious about advancing your sales career
Compensation
- $80K-$120K OTE + commission
Benefits
- Dinner stipend
- $150/month wellness benefit
- Paid parental leave (12 weeks maternal, 6 weeks paternal)
- Commuter benefits
- Medical, dental, and vision coverage
- Process-driven and coachable, but entrepreneurial enough to build your own motion
Equal opportunity
- Giga is an equal opportunity employer.
This listing is sourced directly from Gigaml's careers page and normalized into a canonical job model.