Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

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.

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 http://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

OUR COMMITMENT

Equal Opportunity. Cognition is an equal opportunity employer. We do not discriminate on the basis of any 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. Cognition also considers applicants with criminal histories consistent with the SF Fair Chance Ordinance and similar local laws.

Data Privacy and Arbitration: By submitting your application, you agree to our Global Applicant and Job Candidate Privacy Notice https://cognition.com/documents/Cognition-Global-Applicant-and-Job-Candidate-Privacy-Notice.pdf. For US applicants, by submitting your application, you agree to the Applicant Arbitration Agreement https://cognition.com/documents/Cognition-Applicant-Arbitration-Agreement.pdf.