Join Cognition as a GTM Engineer to design and scale the technical infrastructure behind our go-to-market engine.
Posted by employer 19 hours ago
First seen on Joblaze 15 hours ago
Last verified on the company career page 15 hours ago
Skills & Technologies
What you'll build
- Architect, build, and maintain GTM tech stack
- Design and own integrations and data flows
- Build automations to improve data hygiene
- Develop AI-powered workflows
- Ensure data integrity across systems
Must have
- 4+ years in GTM Engineering, Business Systems, or Revenue Operations
- Deep hands-on experience administering Salesforce
- Strong SQL skills
- Experience building integrations with APIs
Nice to have
- Experience building and maintaining CPQ and billing systems
- Scripting in Python or JavaScript is a strong plus
AI in the day-to-day
Experience applying AI to day-to-day work is preferred.
Requirements
- Experience
- 4+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
The GTM Engineer at Cognition is responsible for designing and maintaining the technical infrastructure that supports the company's go-to-market operations, focusing on automating workflows and ensuring data integrity across various systems. Key skills include deep experience with CRM systems like Salesforce, strong SQL capabilities, and familiarity with API integrations and automation tools. This role is ideal for someone with over four years in GTM Engineering or related fields, particularly in high-growth environments. Cognition's team is composed of highly skilled professionals from leading AI companies, fostering a culture of innovation.
Joblaze insights
Quick facts
- How much experience is required?
- At least 4 years of relevant experience for this GTM Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: BigQuery, JavaScript, Python, SQL, Salesforce, Snowflake.
- What seniority level is this role?
- Cognition targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this GTM Engineer role at Cognition.
From the original posting
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
Standard company text repeated across Cognition's postings is omitted here.