# GTM Engineer

**Company:** [Doppel](https://hotfix.jobs/companies/doppel)
**Location:** Remote
**Role:** GTM Engineering
**Salary:** $150k – $200k/yr
**Experience:** 4+ years
**Skills:** Salesforce, HubSpot, Clay, ZoomInfo, BigQuery, SQL, APIs, Webhooks, Zapier, Python, JavaScript, AI, Generative AI, OpenAI, Claude
**Posted:** 2026-05-04

> Builds and scales revenue systems through data integrations, AI automations, and GTM workflows for Sales, Marketing, and CS teams. Requires 4-6+ years in technical GTM roles, expertise in CRM tools like Salesforce/Clay, SQL/BigQuery, and AI deployment.

## Job Description

## What You’ll Do

- Architect and manage data flows, integrations, APIs, and webhooks to ensure clean, reliable, and actionable data across systems. Our stack includes **Salesforce**, **HubSpot**, **LeanData**, **Outreach**, **Clay**, **ZoomInfo**, **LinkedIn Sales Navigator**, **BigQuery**, **Zapier**, and **Clari Copilot**.
- Consolidate contacts, interaction history, and engagement signals from multiple sources into a single, enriched, trustworthy data foundation. Build the orchestration layer that keeps data flowing between tools and powers every workflow downstream.
- 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.

## What We’re Looking For

- 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. We want to leverage **Clay** better as our GTM orchestration and enrichment layer.
- 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.

## Compensation

**$150,000 - $200,000 OTE + meaningful equity.**

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