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Digital

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: RiseMe
Full Time position
Listed on 2026-09-27
Job specializations:
  • Education / Teaching
    Digital Marketing
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below
Position: Paid & Digital

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 Deep Mind, and Nuro.

Building Devin is just the first step—our hardest challenges still lie ahead.

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, Linked In, You Tube, Reddit, and other social platforms, while continuously identifying new opportunities across technical publications, newsletters, communities, creators, sponsor ships, 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, Linked In, You Tube, 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…

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