Builds scalable GTM data pipelines, revenue automation, and personalization infrastructure to drive customer acquisition and revenue growth. Requires 5+ years engineering experience with Python/JavaScript, data pipelines, and tools like Salesforce and HubSpot.
Salary not listed
Remote5+ YOEGTM Engineering
About the role
Responsibilities
Design and build scalable GTM data pipelines and automation systems
Integrate systems across Salesforce, enrichment providers, outbound tools, and analytics platforms
Build internal tools that significantly improve BDR and AE productivity
Develop systems for account prioritization, routing, and orchestration
Enable AI-native workflows by building high-quality structured data pipelines
Partner with marketing, sales, and engineering to translate GTM strategy into systems
Continuously improve the reliability and performance of growth infrastructure
What You’ll Build
GTM Data Infrastructure: Customer Data Platform (CDP), data pipelines across CRM, marketing tools, and enrichment providers, account and contact intelligence systems, intent signal ingestion and propensity modeling, attribution and measurement systems
Personalization Infrastructure: AI-assisted outbound messaging systems, data pipelines for personalization signals, campaign-level intelligence and experimentation
Growth Experimentation: Lead generation and conversion experiments, experimentation frameworks for GTM, web analytics and conversion optimization systems
Requirements
5+ years of software engineering experience
Strong experience with data pipelines, APIs, and automation systems
Proficiency in Python, JavaScript, or similar
Experience with data warehouses and ETL pipelines
Experience building systems that impact customer acquisition or revenue
Familiarity with tools like Salesforce, HubSpot, Segment, Airbyte, Clay, or similar
Understanding of B2B growth and sales processes
Strong architectural thinking and ability to design scalable systems
Comfort working across engineering, data, and GTM teams
Preferred Qualifications
Experience at hyper-growth companies (100%+ ARR growth)
Building CDP or GTM data infrastructure
AI-assisted workflow automation
Enterprise sales GTM systems and tooling
Experience with marketing or sales automation platforms
Skills
PythonJavaScriptSalesforceHubSpotSegmentAirbyteClayData PipelinesETLAPIsCustomer Data PlatformAutomation Systems
Embedded with marketing teams to identify, build, and scale AI-powered tools, agents, and automations that transform workflows. Requires 5+ years experience building AI solutions that changed real processes, plus coaching and communication skills to drive adoption.
Salary not listed
Remote5+ YOEGTM Engineering
GTM Engineer
AgentMailSan Francisco, CA
Build and own AgentMail's growth data pipelines, outbound engines, lookalike modeling, and PLG experiments as the company's single source of truth for growth. Requires technical scripting in Python/TypeScript/SQL, high agency, and experience with growth motions at PLG companies.
Salary not listed
On-siteGTM Engineering
GTM Engineer
hudSan Francisco, CA
Build and own end-to-end outbound GTM pipeline for AI training data platform, including technical outreach to ML engineers and AI researchers, workflow automation with AI tools, and deal closing. Requires engineering background, GTM tooling expertise, and startup experience.
Salary not listed
HybridGTM Engineering
GTM AI Engineer
Customer.ioUnited States
GTM AI Engineer responsible for taking prototype AI agents to production-grade systems. Owns observability, deployment pipelines, database interactions, monitoring, and reliability on GCP for the GTM team's 11+ agents serving 120 users.
140k – 170k/yr
Remote4+ YOEGTM Engineering
GTM Engineer, Warp Insurance Services
WarpNew York, NY
Build and own the end-to-end go-to-market motion for Warp Insurance Services, converting payroll clients to benefits, building broker/CPA channels from scratch, and hitting covered-employee onboarding targets while designing the supporting systems and processes.