What are the responsibilities and job description for the GTM Engineer position at Suger.io?
About UsSuger is a revenue platform that helps our customers grow on the fastest-growing B2B sales channel: the cloud marketplaces of AWS, Azure, GCP, and Alibaba. Launched in 2022, we take the tech debt out of marketplace sales by providing an API-first approach to quote-to-cash and billing processes. We’re working with over 200 B2B customers, ranging from large enterprises like Snowflake and Intel to fast-growing startups like Glean and Vanta.We’re looking for a GTM Engineer to help us scale demand generation through data-driven systems, intelligent automation, and custom-built growth infrastructure.This isn’t a traditional engineering role - it’s a high-impact position at the intersection of code, data, and go-to-market execution. You’ll be the technical backbone of our growth team, using your skills to build, connect, and automate tools that turn data into actions across our GTM stack.This is an awesome opportunity to get involved with a growing company that practices continuous innovation, and transforming the landscape of software solutions in the B2B sales market!We are a Series A start-up, funded by top tier investors, including Threshold VC, Craft Ventures, Intel Capital, and Y-Combinator. What You’ll DoOwn and operate the GTM automation engine: Scrape, integrate, and transform data into real-time actions across email marketing, SDR outreach, and web engagement to inform growth approaches and tactics.Manage a technical GTM backlog: Prioritize and execute against an OKR-driven roadmap to support growth, marketing, and sales objectives.Build outbound triggers: Identify high-intent signals and launch automated sequences through CRM and outreach tools.Leverage OpenAI and third-party APIs: Develop tools that generate personalized content and automate engagement at scale.Model and visualize GTM data: Write queries and build dashboards to uncover new growth opportunities and measure campaign performance.Develop internal tools and scripts: Use Python, SQL, or JavaScript to accelerate workflows and support new GTM experiments.Maintain and extend GTM integrations: Connect systems like Salesforce, Apollo, Segment, and Clearbit to ensure data flows seamlessly across the stack.What You’ll NeedHave 2–5 years experience in a data engineering, growth engineering, or applied data science role.Are fluent in Python and SQL, with bonus points for JS, APIs, and scraping tools like Puppeteer or Playwright.Know your way around OpenAI’s API and have a knack for building tools that automate content creation or enrichment.Are obsessed with speed: you can turn ideas into prototypes quickly, and love experimenting with new tech.Understand GTM motions and are excited about accelerating pipeline generation with smart systems.Thrive in fast-paced, zero-to-one startup environments.Good to HaveExperience in RevOps, martech, or sales techFamiliarity with cloud marketplace ecosystems (AWS, Azure, GCP)Why Join UsWe are a team of ~50 people, headquartered in the Bay Area (with teams globally), and growing rapidlyWork with an exceptional team that has built large-scale enterprise SaaS products at companies like Google, Meta, Microsoft, Salesforce, Confluent, Asana, and Opower (Oracle), as well as high-growth startups such as Workstream, Pave, Motive, and SquareOpportunity to have outsized impact as the foundational member of the Sales Engineering organizationCompetitive compensation, meaningful early-stage equity, and comprehensive benefits - including healthcare, a monthly stipend for office expenses, and team outingsWell-funded with top-tier investorsFast-moving, flat org structure with significant ownership and autonomyCompensation Range: $120,000 - $180,000/year
Salary : $120,000 - $180,000