Sales Development Representative

Reposted 16 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
100K-130K Annually
Junior
Artificial Intelligence • Software
Building embeddings-based search infrastructure
The Role
The Sales Development Representative will generate pipeline, qualify leads, engage with stakeholders, and exceed quotas through personalized outreach.
Summary Generated by Built In

About Exa
We raised a $250M Series C to build the search engine for AIs. Led by a16z, with existing investors Benchmark, Lightspeed, and YC doubling down, the round brings Exa's valuation to $2.2 billion. Read more
Exa is building a search engine for the AI era. Our Search API currently powers Agents, Fortune 500s and AI labs as we transform an industry that hasn’t been disrupted since the 90s. We're a largely SF-based team of ~100 from Harvard, MIT, Meta, Google Research, ex-founders & dropouts alike.

We are rapidly building the most intelligent search engine in history. We’re high agency, low-ego, and united by the feeling that this is one of the last problems worth getting right.

We are hiring a Sales Development Representative to help bring Exa to the world.

About the Role

As a Sales Development Representative at Exa, you will build high quality pipeline across enterprise and developer segments. You will own outbound prospecting, qualify inbound interest, and partner closely with Account Executives to turn product interest into revenue.

This role is fully in office in San Francisco. We believe working together in person drives speed, accountability, and learning.

We are looking for competitive, curious, high ownership individuals who want to help build a category defining AI company.

What You Will Do
  • Generate pipeline through personalized outbound across email, phone, and social

  • Engage developers, founders, and enterprise leaders in thoughtful conversations

  • Write clear, compelling messaging tailored to AI, search, and infrastructure use cases

  • Partner with AEs, Marketing, and founders on targeted outbound campaigns

  • Build and prioritize account lists within high value segments

  • Qualify inbound leads and convert product interest into meetings

  • Conduct high level conversations with technical and executive stakeholders

  • Hit and exceed monthly quotas for meetings, opportunities, and pipeline generated

  • Track performance metrics and continuously improve outreach strategy

  • Contribute to outbound playbooks and messaging frameworks

What We Are Looking For
  • 1+ years of sales experience, ideally in SaaS, AI, infrastructure, or high growth tech

  • Strong interest in AI, developer tools, or technical products

  • Competitive mindset with a strong internal drive to win

  • Comfortable in a fast moving, high performance environment

  • Resilient and coachable

  • Clear and concise communicator

  • Strong organizational skills and ability to prioritize

  • Self starter mentality. When you see an opportunity, you act

Compensation

Exa rewards impact and performance. This role is variable compensation eligible with uncapped upside and meaningful equity ownership. Final compensation will depend on experience, skill set, and demonstrated ability.

If you want kickoff your career in sales for a generational AI search company and grow alongside a world class team, we would love to meet you!
This is an in-person opportunity in San Francisco. We are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3) In addition to premium healthcare benefits (medical, dental, vision), we also offer fertility benefits and a monthly wellness stipend to all of our employees.

Skills Required

  • 1+ years of sales experience, ideally in SaaS, AI, infrastructure, or high growth tech
  • Strong interest in AI, developer tools, or technical products
  • Clear and concise communicator
  • Strong organizational skills and ability to prioritize
  • Self starter mentality
Am I A Good Fit?
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The Company
San Francisco, , California
86 Employees
Year Founded: 2021

What We Do

Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information.

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