Digital Marketing Manager, Exa
$130-200k
Offers Equity
More information about location
5 days a week in office
Search infrastructure for AI
Open for applications
Search infrastructure for AI
101-200 employees
Open for applications
$130-200k
Offers Equity
More information about location
5 days a week in office
101-200 employees
Company mission
To understand any query – no matter how complex – and filter the internet to exactly the knowledge required for that query.
Role
Who you are
- 4+ years in growth, digital, or performance marketing at a B2B technology company, with hands-on ownership of paid budgets, landing pages, and technical SEO. Not agency oversight, hands on keyboard
- Deep craft in at least one of the three areas and real working competence in the other two. Tell us which is your strongest and be ready to prove it
- Credibility marketing to developers: you understand why gated whitepapers fail with this audience and what works instead
- A track record of experiments that changed a number, with the honesty to tell us which ones failed
- Analytics fluency: you can build your own reporting, and you know the difference between a lift and a coincidence
- Comfort in the build layer. You can ship a landing page yourself, read the console, and work in whatever the site is built on rather than waiting on engineering
- A proven AI builder mindset: you've shipped automations and creative pipelines using LLMs, not just used ChatGPT
- Nice to Have
- Experience at a PLG or self-serve developer product with a free tier
- SQL and comfort querying a warehouse directly
- Experience with developer-native paid channels and sponsorship buying
- Hands-on with the modern web stack (Next.js, Webflow, or similar) and CRO tooling
- Early experience with AI answer visibility and how it differs from classic SEO
What the job involves
- This is a full-stack growth role
- You own paid acquisition, the website and its conversion path, and the technical mechanics of search and answer-engine visibility
- You need to be genuinely hands-on in all of them rather than a manager of agencies
- Developers can be cynical about marketing, allergic to gated content, and they evaluate by trying the product
- So the job is less about clever campaigns and more about removing friction: fast load-times, a signup flow that gets someone to their first API success, and spend that goes where developers are
- You will work closely with Technical PMM, who owns the content narrative, while you own the surfaces and channels that distribute it
- You'll also work with Marketing Ops, who owns the tech-stack and attribution method, while you own channel performance
- This is an AI-first role at an AI-first company. Creative production, landing page velocity, and reporting should be AI-accelerated so that one person can run three functions
- Own paid channels end to end: search, social, developer-native placements (newsletters, podcasts, communities, sponsorships), budget allocation, creative testing, and channel mix. Success is measured by qualified signups and pipeline per dollar, with an honest view of incrementality
- Own the marketing site as a conversion surface: landing pages, page speed, messaging tests, and the path from first visit to signup. Success is measured by conversion rate improvements you can defend and by shipping velocity on new pages
- Own the technical side of organic visibility: site architecture, crawlability, schema and structured data, page performance, and the tooling that monitors it. You can collaborate with Technical PMM to identify and pursue target keywords
- Own the top of the self-serve funnel through to activation handoff: signup flow experiments, friction removal, and the instrumentation to see where developers drop. Success is measured by signup-to-first-call conversion
- Own channel-level reporting, the experiment backlog, and the discipline of running tests that produce decisions. Marketing Ops owns the attribution model and the source of truth; you own performance within it and you use the same numbers everyone else does
- Design and deploy AI-powered workflows for creative variants, page builds, keyword and audience research, and reporting. If a step runs manually more than twice, you should be itching to automate it
- What Success Looks Like
- Qualified signups grow while keeping CAC in range, and you can show which channels are incremental
- New landing pages ship in days
- The site is technically clean: fast, crawlable, structured, and monitored
- Signup-to-first-API-call conversion improves through experiments you ran
- You and Technical PMM operate together on organic
- Spend decisions are made weekly from data, and losing channels get cut
Our take
The way we currently query AIs means that the models we rely on are themselves reliant on the quality of internet search tools. To answer this, Exa is building a tool that allows AI models to perform the equivalent of a web search, making the models more effective in their responses to our questions.
Exa’s embeddings-based search engine is free of “hallucinations” (those bizarre search query answers that AI sometimes brings back to users). Also, in the same way that LLMs complete sentences, its predictive technology does the same for search queries by providing the next probable link.
It's an alluring product for companies and individuals who want to accelerate their research answers. It's also one of a kind at present, which has led to several successful funding rounds which will help accelerate its product. If it maintains its current momentum, Exa could well be the AI search engine of the future.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
May 2026
$250m
SERIES C
Sep 2025
$85m
SERIES B
Total funding: $362.2m
Company HQ
Mission District, San Francisco, CA
Leadership
Will Bryk
(Co-Founder & CEO)Previously a Software Engineer at Cresta, Intern at Zoox Inc and was the President of the Harvard Undergrad Robotics Club.
Jeffrey Wang
(Co-Founder)Previously a Member of South Park Commons and was a Software Engineer at Plaid.
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