The roleWe're hiring to expand on the immediate success and impact our founding SDR team has had. You will be the engine behind the engine, helping convert high-volume developer inbound into qualified opportunities and building an outbound motion to the teams creating cutting edge agents and AI products.
Your responsibilities will include:- Promptly follow up with inbound and outbound prospects via email, LinkedIn, and calls to ensure no lead slips through the cracks.
- Build a deep understanding of Tavily's ICP: AI engineers, data science teams, and product leaders building agentic systems to identify where they need grounded, real-time search in their product
- Qualify opportunities and book meetings for the Sales team, ensuring they are equiped with the correct information to win the deal.
- Provide structured feedback on signals, workflows, and outputs to help us improve Tavily based on real-life testing.
We expect you to have: - 1-2 years of Sales, SDR, Analytics or Computer Science experience in a SaaS or tech environment preferred (open to exceptional entry-level candidates).
- You are in Austin and excited about an in-person office environment (think 4 days per week).
- You're resilient, energized by building relationships, and genuinely excited to learn.
- You're genuinely curious about AI and enjoy learning what new products and teams are building, even if you're not technical yourself.
- Ability to balance high-volume outreach with thoughtful experimentation and feedback.
Key employee benefits in the US:- Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan: Up to 4% company match with immediate vesting.
- Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote work reimbursement: Up to $85/month for mobile and internet.
- Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.
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Pay TransparencyWe offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$71,700-$89,600 USD
