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Salary: USD 120,000 - 180,000 / annual
Suger is an end-to-end orchestration system for B2B marketplaces and ecosystems, powered by AI and integrations. The company works with 300+ customers including major AI labs, Decagon, Glean, Snowflake, Workday, and Intel. Series A funded by Threshold VC, Craft Ventures, Intel Capital, and Y Combinator.
As GTM Engineer, you will be the technical backbone of the growth team, building and automating tools that drive demand generation through data-driven systems and intelligent automation. This role sits at the intersection of code, data, and go-to-market execution.
Key responsibilities:
- Own and operate the GTM automation engine, scraping, integrating, and transforming data into real-time actions across email marketing, SDR outreach, and web engagement
- Manage a technical GTM backlog and prioritize execution against an OKR-driven roadmap supporting growth, marketing, and sales objectives
- Build outbound and email marketing triggers that identify high-intent signals and launch automated campaigns, personalized sequences, and SDR outreach through CRM and engagement tools
- Leverage OpenAI and third-party APIs to develop tools that generate personalized email and outbound content at scale
- Model and visualize GTM data by writing queries and building dashboards to uncover growth opportunities and measure campaign performance
- Develop internal tools and scripts using Python, SQL, or JavaScript to accelerate workflows and support GTM experiments
- Maintain and extend GTM integrations connecting Salesforce, Clay, Apollo, Outreach, and Segment to ensure seamless data flow across the GTM stack
You'll be a foundational hire in the Sales Engineering organization with outsized impact potential. The team includes ~72 people with backgrounds from Google, Meta, Salesforce, Pave, Motive, and Square. The company has strong product-market fit and a proven sales motion; this role shapes the GTM engine for the next growth phase.
REQUIREMENTS:
- 2–5 years of experience in data engineering, growth engineering, applied data science, or similar technical role
- Fluency in Python and SQL; bonus points for JavaScript, APIs, and scraping tools like Puppeteer or Playwright
- Hands-on experience with GTM and marketing systems like Clay and Salesforce, with understanding of how data, enrichment, CRM, and automation drive pipeline
- Experience with email marketing and automated outreach, with interest in building systems that personalize and scale engagement
- Familiarity with OpenAI's API and ability to build tools that automate content creation, personalization, or enrichment
- Bias toward speed: ability to turn ideas into prototypes quickly and willingness to experiment with new technology
- Understanding of GTM motions and excitement about accelerating pipeline generation through smart systems, automation, and data
- Comfort thriving in fast-paced, zero-to-one startup environments and owning projects end-to-end
