Growth Marketing

Reposted 24 Days Ago
Be an Early Applicant
San Francisco, CA
In-Office
130K-200K Annually
Mid level
Artificial Intelligence • Software
Building embeddings-based search infrastructure
The Role
As a Growth Marketer, you'll design and execute acquisition campaigns, analyze data for improvements, and develop AI workflows to enhance user engagement.
Summary Generated by Built In

About the Team
The growth team drives user and revenue growth across Exa’s consumer and enterprise API products. We recently raised a Series B from Benchmark, and we are rapidly building the most intelligent search engine in history. Now, we’re looking for a Growth Marketer to help us bring Exa to the world!

About the Role
We’re looking for someone with deep expertise in performance marketing strategy, tools, and strong analytical skills. You’ll work with leadership, engineering and marketing to deliver measurable impact across a variety of channels and move quickly from concept to launch.

What you’ll do

  • Design and execute paid user acquisition campaigns across scalable channels (search, influencers, emails, social) to driver user growth

  • Lead experiments and A/B tests — analyzing data, finding insights, and turning those insights into scalable conversion improvements.

  • Develop AI workflows to scale how we reach out to potential users, and activate our existing users

  • Scale outbound, creative direction, and management of creator partnerships


You might thrive if you have

  • 3+ years of experience in growth / performance marketing at high-growth tech companies

  • Proven ability to launch, scale, and optimize paid channels

  • Experience with AI-driven marketing tools, creative ops engineering, and workflow automation (N8N, Gumloop, Zapier)

Top Skills

Ai-Driven Marketing Tools
Gumloop
N8N
Zapier
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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