What You’ll DoArchitect and manage data flows, integrations, APIs, and webhooks for clean, actionable data across platformsConsolidate contacts, engagement signals, and interaction history into a single, enriched data foundationBuild and evolve prospecting architecture using Clay, ZoomInfo, and Salesforce to identify high-intent accountsDevelop signal-based workflows (intent, enrichment, behavioral triggers) to optimize targeting and timingDesign and automate outbound and inbound campaign workflows aligned to ICP, personas, and messagingDeploy AI agents, copilots, and automations to reduce manual work and enhance GTM team efficiencyMaximize native AI capabilities across our stack and evaluate new tools for continuous improvementAct as a bridge between technical systems and GTM teams, training users and driving adoption of new workflowsWhat They’re Looking For4–6+ years in GTM Engineering, Revenue Operations, Sales Systems, or similar technical GTM roles in B2B SaaSDeep experience with CRM and GTM tools: Salesforce, HubSpot, Clay, LeanData, Outreach, ZoomInfo, LinkedIn Sales Navigator, BigQuery, Zapier, Clari CopilotProven ability to build enrichment pipelines, define ICP in data terms, and map key engagement signalsProficiency in SQL and 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 systemsBonus: Python or JavaScript scripting for automationHands-on experience deploying GenAI workflows, agents, or copilots in GTM contextsFamiliarity with OpenAI, Claude, Gemini, or similar toolsAnalytical, problem-solving mindset with a builder mentalityStrong cross-functional communication skillsBackground in high-growth or AI-native companies is a plusWhy Join Doppel$150,000–$200,000 OTE plus meaningful equityComprehensive health, dental, vision, 401(k), and generous parental leaveFlexible PTO and a remote-first, flexible cultureImmediate impact in a fast-growing team with visible resultsA culture that values documentation, data-driven decisions, and simple, scalable systems