GTM Systems Engineer
Cognition is hiring a GTM Systems Engineer in San Francisco, United States. Level rates it ; you can apply on Cognition.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Zapier AI, Cursor and Devin.
- Level lists 107 other open roles at Cognition.
AI in this role
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); 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. For US applicants, by submitting your application, you agree to the Applicant Arbitration Agreement.
How we rate this
GTM Systems Engineer at Cognition rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Zapier AI hands-on?
- Walk me through how you've used Cursor in your day-to-day work.
- What are the limits of Devin that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Zapier AI, Cursor, and Devin. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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