LeanData Logo

LeanData

GTM Engineer (Data & AI)

Reposted 18 Days Ago
Remote
Hiring Remotely in United States
120K-170K Annually
Senior level
Remote
Hiring Remotely in United States
120K-170K Annually
Senior level
The GTM Engineer leads the design of a data layer and autonomous systems for AI-driven revenue optimization, collaborating with leadership on growth strategies.
The summary above was generated by AI

LeanData helps the world’s fastest-growing companies automate, simplify, and accelerate revenue.

We are seeking a GTM Engineer (Data & AI) to be the lead architect of our autonomous revenue engine. This is a critical role focused on building the Data and Context layers that serve as the "brain" for our AI strategy. We aren't just looking for someone to manage tools, we want a builder who can accelerate our agentic GTM automation, where workflows don't just follow rules, but reason through signals to power the entire customer journey.

You will be empowered to use your technical depth to design, test, and scale a system that eliminates manual friction and turns the funnel into a high-velocity machine. This is a highly cross-functional role where you will work directly with GTM VPs to define their growth strategies.

Reporting into the Head of Revenue Operations, you will have a seat at the table with the C-suite to help define the future of RevOps in the GTM tech industry.

This is a remote opportunity.

What you will be doing:

  • Architect the GTM Intelligence Foundation. Design and manage a unified data layer that merges structured (DataLake/APIs/MCPs) and unstructured signals (Calls/Emails/Chats) for agentic reasoning and consumption

  • Engineer Agentic Workflows. Build autonomous systems that sit in the execution path of the funnel, blending probabilistic AI reasoning with deterministic logic to automate complex decisions across Marketing, Sales, and CX

  • Lead our predictive modeling efforts. Own the logic and technical setup for scoring and propensity models ensuring they are integrated into the agentic orchestration layer

  • Prototype and Scale GTM Innovation. Rapidly build and test new AI-native concepts and turn the successful ones into standard operating procedure

Requirements:

  • Engineering-First Mindset. 5+ years in GTM Systems, RevOps, or Data Engineering with a focus on technical workflows. A technical degree or equivalent background is preferred

  • Context Orchestrator. You have built complex data flows across Data Warehouses, APIs, and MCP servers and have hands-on experience building the context layers for AI judgment

  • Track record of shipping GTM logic, like scoring, routing, and lifecycle automation, that measurably moved the needle on pipeline or retention.

  • Hands-on experience with modern orchestration platforms and understand how to orchestrate LLMs, enrichment waterfalls, and agentic workflows.

  • Possess a structured approach to problem-solving and a natural instinct to simplify and automate manual processes rather than adding complexity

Why work at LeanData:

  • LeanData covers employee insurance premiums up to 90%

  • Stock options in LeanData for all full-time employees

  • Flexible PTO

  • 401K plan

Similar Jobs

7 Minutes Ago
Remote
USA
120K-150K Annually
Mid level
120K-150K Annually
Mid level
Artificial Intelligence • Fintech • Software
The Full-Stack Engineer will build and maintain applications, own features end-to-end, contribute to system design, and collaborate closely with product and design teams while improving system reliability and performance.
Top Skills: AWSJavaScriptNode.jsNoSQLTypescript
7 Minutes Ago
Remote
USA
120K-150K Annually
Mid level
120K-150K Annually
Mid level
Artificial Intelligence • Fintech • Software
The Backend Engineer will design and maintain backend systems, contribute to system reliability and performance, and collaborate cross-functionally while taking ownership of projects.
Top Skills: AWSJavaScriptMongoDBNode.js
13 Minutes Ago
Remote or Hybrid
Colorado, USA
130K-150K Annually
Senior level
130K-150K Annually
Senior level
Information Technology • Insurance • Software
Lead design, administration, and reliability engineering for enterprise PostgreSQL and SQL Server environments across AWS and on-prem. Drive cloud migrations, IaC with Terraform, performance tuning, HA/DR, automation, observability, CI/CD integration, cost optimization, and 24x7 production support while mentoring junior DBAs and establishing operational best practices.
Top Skills: Amazon RedshiftAurora PostgresqlAWSBashCi/CdCloudwatchDynatraceGrafanaInfrastructure As Code (Iac)PostgresPowershellPythonRds PostgresqlSQL ServerTerraform

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account