Senior GTM Engineer

Weave
United States
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Hands-on technical leadership","Mentoring","Code and data quality focus","Evaluation and reliability mindset","Cross-functional collaboration"]

Design, build, and lead AI and data systems that power the GTM engine. Architect agentic AI workflows for lead distribution, enrichment, scoring, and sales-conversation intelligence, while setting technical standards and serving as a quality gate for GTM AI projects. Build Snowflake/BigQuery pipelines and golden-record models, implement evaluation/guardrails, integrate Salesforce and enrichment sources via APIs/MCP, and lead vendor technical evaluations. Mentor engineers and analysts across Revenue Ops, Sales, Marketing, and BI.

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FursaFursa
Weave
Weave
4 days ago

Senior GTM Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Design, build, and lead AI and data systems that power the GTM engine. Architect agentic AI workflows for lead distribution, enrichment, scoring, and sales-conversation intelligence, while setting technical standards and serving as a quality gate for GTM AI projects. Build Snowflake/BigQuery pipelines and golden-record models, implement evaluation/guardrails, integrate Salesforce and enrichment sources via APIs/MCP, and lead vendor technical evaluations. Mentor engineers and analysts across Revenue Ops, Sales, Marketing, and BI.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own AI-GTM technical initiatives end to end, from roadmap through production, as the technical lead accountable for outcomes.
  • •Set technical standards for code quality, data quality, evaluation, and deployment; review designs and mentor engineers and analysts.
  • •Act as the technical QA checkpoint for GTM AI projects before they ship and steward shared infrastructure like repository access and connector credentials.
  • •Architect multi-step agentic workflows for GTM tasks, including real-time lead distribution and self-improving logic from closed-lost analysis.
  • •Build and maintain data pipelines, canonical data models, golden-record schema (Snowflake/BigQuery), and evaluation/guardrails to manage accuracy, drift, cost, and reliability.

Key Requirements

  • •Bachelor’s degree in Engineering, Computer Science, Data, or a related field, or equivalent hands-on experience building production data and AI systems.
  • •Advanced SQL and working proficiency in Python.
  • •Hands-on experience with Snowflake and BigQuery.
  • •Demonstrated experience building AI agents with tools such as Claude, Claude Code, or Gemini.
  • •Experience taking technical projects from concept through production rollout; track record mentoring or reviewing engineers/analysts.
Experience:AIData systemsGTMRevenue operationsSales-analytics
Education:Bachelor's
Skills:Hands-on technical leadershipMentoringCode and data quality focusEvaluation and reliability mindsetCross-functional collaboration
Tech Stack:SQLPythonSnowflakeBigQuerySalesforceAPIsMCPClaudeClaude CodeGeminiSnowflake CortexDbtSalesforce Agentforce

Company Brief

Weave
Provides an integrated communications and customer engagement platform for small and medium businesses, offering phone, messaging, appointment reminders, payments, and CRM tools to improve customer relationships and practice operations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Lehi, United States
Founded: 2008
WebsiteLinkedIn