GTM Engineer

Doppel

GTM Engineer architecting and building scalable systems for revenue engine at Doppel. Overseeing data automation and AI integration across GTM processes.

Posted 7/27/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryJavaScriptPythonSQL

About the role

Key responsibilities & impact

Architect and manage data flows, integrations, APIs, and webhooks to ensure clean, reliable, and actionable data across systems.
Consolidate contacts, interaction history, and engagement signals from multiple sources into a single, enriched, trustworthy data foundation.
Build and evolve our prospecting architecture using tools like Clay, ZoomInfo, and Salesforce to identify high-intent accounts and contacts.
Develop new signal-based workflows (intent, enrichment, behavioral triggers) to improve targeting and timing.
Design and automate outbound and inbound campaign workflows aligned to ICP, personas, and messaging strategy.
Identify high-impact AI use cases and deploy AI agents, copilots, and workflows across GTM teams.
Build automations that reduce manual work (e.g., lead routing, enrichment, account research, sequencing triggers).
Maximize native AI capabilities across existing tools and evaluate new tools to enhance the stack.
Act as a bridge between technical systems and GTM teams.
Train Sales, Marketing, and CS on new workflows, tools, and AI capabilities.
Build internal champions and drive adoption of new systems and processes.

Requirements

What you’ll need

4–6+ years in GTM Engineering, Revenue Operations, Sales Systems, or similar technical GTM roles in B2B SaaS
Strong understanding of sales, marketing, and customer lifecycle processes and how systems support revenue outcomes
Deep experience with CRM and GTM tools listed in our stack above.
Proficiency in SQL and working with data warehouses (BigQuery preferred)
Experience building integrations using APIs, webhooks, and automation platforms (Zapier, Make, n8n, Workato, Clay)
Ability to design scalable workflows and data models across systems
Bonus: Experience with Python or JavaScript for lightweight scripting and automation
Hands-on experience deploying GenAI workflows, agents, or copilots in GTM contexts
Strong familiarity with tools like OpenAI, Claude, Gemini, or similar
Strong interest in staying ahead of trends in LLMs and agentic systems
Builder mentality: you enjoy turning ambiguity into structured systems
Highly analytical with strong problem-solving skills
Scrappy and execution-oriented—you ship fast, iterate, and scale what works
Strong cross-functional communicator able to translate business needs into technical solutions
Background in high-growth or AI-native companies.

Benefits

Comp & perks

Health, dental, vision, 401(k), and generous parental leave.
Flexible PTO and flexible, remote-first culture.
Fast-growing team with immediate impact and visible results.
A culture that values documentation, data-driven decisions, and simple, scalable systems.