Senior GTM Engineer

weave; United States; Hybrid; USD 180,000 - 260,000; Full time

Job summary

Weave seeks a Lead GTM Engineer to design and lead the AI and data systems powering our go-to-market engine. This hands-on leadership role will architect agentic AI workflows and the data infrastructure spanning lead distribution, enrichment, scoring, and sales-conversation intelligence. Hybrid role: 3 days/week at Weave HQ.

Reports to: Director, Revenue & GTM Operations. You will mentor engineers and analysts, set technical standards, and drive cross-functional collaboration with Revenue

Qualifications

• Bachelor's degree in Engineering, Computer Science, Data, or equivalent hands-on experience.
• 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.
• A track record of mentoring or reviewing the work of other engineers or analysts.

Responsibilities

• Lead AI-GTM technical initiatives end-to-end, from roadmap through production, as the technical lead accountable for outcomes.
• Set the technical bar. Define standards for code quality, data quality, evaluation, and deployment; review designs and mentor the engineers and analysts contributing to the work.
• Serve as the quality gate. Act as the technical QA checkpoint on GTM AI projects before they ship, and steward shared infrastructure like repository access and connector credentials.
• Architect agentic workflows. Design multi-step, tool-using agents that autonomously execute GTM tasks, for example a self-optimizing lead-distribution agent that sets caps, routes leads in real time, and refines its own logic from closed-lost analysis.
• Build the data foundation. Design and maintain the pipelines, canonical data models, and golden-record schema in Snowflake and BigQuery that every downstream GTM AI project depends on.
• Own evaluation and reliability. Build eval harnesses and guardrails, measure accuracy and drift, and manage cost, latency, and version control for everything you ship.
• Integrate systems. Connect Salesforce, enrichment vendors, and other source systems via APIs and MCP-based integrations, owning ingestion, deduplication, and match logic.
• Lead vendor evaluation. Own technical proofs of concept and due diligence for data and AI vendors, from benchmarking through production integration.

Skills

SQL

Python

Snowflake

BigQuery

AI agents (Claude/Claude Code/Gemini)

Mentoring engineers/analysts

Vendor evaluation & integration

Education

Bachelor's degree in Engineering, Computer Science, Data, or equivalent hands-on experience

Job description

The Lead GTM Engineer designs, builds, and leads the AI and data systems that power Weave's go-to-market engine. This is a hands-on technical leadership role on the GTM AI Taskforce: you'll architect agentic AI workflows and the data infrastructure beneath them, spanning lead distribution, enrichment, scoring, and sales-conversation intelligence, while mentoring the engineers and analysts who build alongside you. You'll set the technical standards for how Weave applies LLMs and modern data tooling to revenue problems, and act as the connective layer between Revenue Operations, Sales, Marketing, and Business Intelligence. This role suits a builder-leader who's equally comfortable writing SQL and Python as they are mentoring a teammate or evaluating a vendor.

This position will be hybrid (3 days/week at Weave HQ)

Reports to: Director, Revenue & GTM Operations

What You Will Own

• Lead the technical initiatives. Own AI-GTM technical initiatives end to end, from roadmap through production, as the technical lead accountable for outcomes.
• Set the technical bar. Define standards for code quality, data quality, evaluation, and deployment; review designs and mentor the engineers and analysts contributing to the work.
• Serve as the quality gate. Act as the technical QA checkpoint on GTM AI projects before they ship, and steward shared infrastructure like repository access and connector credentials.
• Architect agentic workflows. Design multi-step, tool-using agents that autonomously execute GTM tasks, for example a self-optimizing lead-distribution agent that sets caps, routes leads in real time, and refines its own logic from closed-lost analysis.
• Build the data foundation. Design and maintain the pipelines, canonical data models, and golden-record schema in Snowflake and BigQuery that every downstream GTM AI project depends on.
• Own evaluation and reliability. Build eval harnesses and guardrails, measure accuracy and drift, and manage cost, latency, and version control for everything you ship.
• Integrate systems. Connect Salesforce, enrichment vendors, and other source systems via APIs and MCP-based integrations, owning ingestion, deduplication, and match logic.
• Lead vendor evaluation. Own technical proofs of concept and due diligence for data and AI vendors, from benchmarking through production integration.

What You Will Need to Accomplish the Job

• 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.
• A track record of mentoring or reviewing the work of other engineers or analysts.

What Will Make Us Love You

Preferred qualifications - including personality traits and soft skills.

• You've built or evaluated agentic frameworks and applied LLM evaluation at scale.
• You have experience with Snowflake Cortex, dbt, or Salesforce Agentforce.
• You've owned vendor evaluation and integration end to end.
• You've led or helped build a data, AI, or GTM-engineering function.
• You have experience in a GTM, Revenue Operations, or sales-analytics environment.

Employment with Weave is contingent upon the successful completion of a background check , conducted in accordance with applicable laws.

At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a smoother candidate experience. AI may assist with things like writing job descriptions, scheduling interviews, or reviewing applications against job-related criteria. For additional information, please review the External AI Policy Statement available on our Careers page.

Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported. We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics. If you have a disability or special need that requires accommodation, please let us know.