Paid & Digital

Cognition · San Francisco

  • Senior
  • Full-time
  • Posted 2026-09-23
  • Confirmed live on 25 September 2026

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Job description

WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS.

We're the makers of Devin, the first AI software engineer.

Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.

Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.

The Role

We're looking for a leader of Paid & Digital to build and scale Cognition's paid demand engine.

You'll own the strategy and execution behind how we use paid distribution to reach the engineers, technical leaders, and enterprise buyers shaping the future of software development.

This goes well beyond managing ad platforms.

You'll determine where Cognition should invest, which audiences we need to reach, what we should put in front of them, and how we turn that attention into qualified enterprise pipeline.

You'll operate across established channels like paid search, LinkedIn, YouTube, Reddit, and other social platforms, while continuously identifying new opportunities across technical publications, newsletters, communities, creators, sponsorships, and emerging channels.

This is a highly hands-on role. You'll build the strategy and execute it: launching campaigns, analyzing performance, developing audiences, reviewing search queries, testing creative, evaluating new channels, and deciding where the next dollar should go.

What You’ll Do

Build Cognition's Paid Demand Engine

- Own Cognition's paid acquisition and distribution strategy with a focus on generating qualified enterprise pipeline.

- Determine the right channel mix, investment strategy, audiences, offers, and campaign architecture as we scale.

- Build a clear understanding of where our highest-value audiences spend their time and how we can reach them.

- Allocate budget dynamically based on performance and opportunity rather than fixed channel assumptions.

- Build the systems, processes, and measurement framework required to scale paid investment significantly.

- Partner with sales, operations, and sales enablement to ensure leads are qualified and are effectively worked.

Own Paid Media

- Own strategy and execution across paid search, LinkedIn, YouTube, Reddit, Meta, X, and other relevant platforms.

- Build sophisticated audience and account strategies around enterprise segments, personas, intent, and buying stage.

- Capture high-intent demand while creating demand among accounts that may not yet be actively searching.

- Continuously optimize campaigns based on pipeline quality and downstream business outcomes—not just clicks, leads, or platform-reported conversions.

- Maintain deep expertise in the platforms and stay close enough to execution to identify opportunities others miss.

Expand Paid Distribution Beyond Traditional Advertising

- Identify and test new channels where technical and enterprise audiences spend attention.

- Build partnerships across relevant newsletters, technical publications, developer and enterprise communities, podcasts, creators, influencers, and other emerging distribution channels.

- Evaluate opportunities based on audience quality, enterprise relevance, scale potential, economics, and ability to test.

- Build a repeatable process for finding, testing, measuring, and scaling new sources of demand.

- Continuously challenge where Cognition should be spending its next dollar.

Build a High-Velocity Experimentation Engine

- Run a continuous pipeline of experiments across channel × audience × message × creative × offer × format × landing experience.

- Develop clear hypotheses and success criteria before launching tests.

- Test fundamentally different approaches rather than only optimizing existing campaigns.

- Quickly scale what works and shut down what doesn't.

- Build a culture where experimentation velocity increases as the paid program grows.

- Track investment impact throughout the sales journey.

- Turn individual campaign learnings into insights that improve the broader Demand Gen strategy.

Build the Creative Testing System

- Develop a systematic approach to paid creative experimentation.

- Identify which messages, narratives, customer proof, product capabilities, and formats resonate with different audiences.

- Partner with Product Marketing and Design to maintain a consistent pipeline of new creative concepts.

- Test across video, static, product-led creative, customer proof, technical content, executive perspectives, and emerging formats.

- Use performance data to inform the next generation of creative rather than simply requesting more assets.

Develop Offers That Create Demand

- Partner with Web/CRO, Product Marketing, and the broader Demand Gen

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