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.
About the Role
We're hiring a GTM Systems Engineer to design, build, and scale the technical infrastructure behind our go-to-market engine. You'll own the architecture that connects our CRM, marketing automation, sales tools, and data warehouse, turning manual processes into reliable, automated workflows. Partnering closely with Sales, Marketing, Partnerships and GTM Operations, you'll translate needs from the field into solutions that improve data quality, speed up our teams, and give leadership a trusted view of the sales funnel.
In this role you will:
Architect, build, and maintain our GTM tech stack, including CRM, CPQ, marketing automation infrastructure, and more.
Design and own integrations and data flows between GTM systems and the data warehouse using APIs, webhooks, and reverse ETL
Build automations to improve data hygiene, pipeline accuracy, deal desk processes, etc.
Develop AI-powered and agent-based workflows that remove manual work and surface timely signals to reps
Ensure data integrity across systems through clear data models, deduplication, validation rules, and monitoring
Partner with Ops and Data Engineering to support reporting, dashboards, and forecasting infrastructure
Evaluate, implement, and retire tools as the business scales, with thoughtful documentation and change management
Requirements for the role:
4+ years in GTM Engineering, Business Systems, Revenue Operations, or a technical Sales/Marketing Ops role at a high-growth company
Deep hands-on experience administering and customizing a CRM (Salesforce), including objects, flows, permissions, and integrations
Experience building and maintaining CPQ and billing systems is preferred
Genuinely curious & interested in AI, with experience applying it to your day-to-day work
Strong SQL skills and experience working with a data warehouse (e.g., Snowflake, BigQuery)
Experience building integrations with APIs and automation platforms (e.g., Zapier, Workato, Tray.io); scripting in Python or JavaScript is a strong plus
A systems-thinking mindset: you design for scale, document your work, and care about clean data
You thrive in high-intensity, high-autonomy environments and enjoy owning problems end to end
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
Skills Required
- 4+ years of experience in GTM systems, business systems, revenue operations, or technical sales/marketing operations at a high-growth company
- Hands-on experience administering and customizing Salesforce or HubSpot, including objects, flows, permissions, and integrations
- Strong SQL skills and experience working with a data warehouse such as Snowflake or BigQuery
- Experience building integrations with APIs and automation platforms such as Zapier, Workato, or Tray.io
- Systems-thinking mindset with emphasis on scalability, documentation, and clean data
- Ability to work in high-intensity, high-autonomy environments and own problems end to end
- Scripting experience in Python or JavaScript
What We Do
Makers of Devin, the first AI software engineer. We are an applied AI lab building end-to-end software agents. We’re building collaborative AI teammates that enable engineers to focus on more interesting problems and empower engineering teams to strive for more ambitious goals.
