GTM Engineer

Tempo

3d•Remote

About The Position

Tempo is seeking a GTM Engineer to build out GTM systems in an AI-first way at an established company. This role is ideal for someone looking to make a name for themselves by building systems that have a huge impact on sales and marketing. The team is designed to be a small group of experts who will have a lot of freedom, flexibility, and ownership to do interesting work. Tempo is a trusted company with over 30,000 customers, including a third of Fortune 500 companies, and is known for its integrated solutions for time management, resource planning, budget management, roadmapping, and program management. Tempo is the #1 time management add-on for Jira and a trusted name in the Atlassian ecosystem.

Requirements

5+ years of experience in data, software engineering, revenue operations, or similar technical roles in B2B SaaS
Experience building AI agents and systems
Experience with complex workflow design (software & no-code), API integrations, error handling, and performance optimization
Understands GTM data & systems: Waterfall enrichment strategies, AI-powered research, CRM best practices, etc…
Prompt Engineering excellence: Proven ability to design effective prompts for AI content generation, and automated research
RAG/Vector database experience: Building intelligent retrieval systems using Supabase, Pinecone, or similar platforms
Proficiency in JavaScript/Python for custom automation logic and data manipulation
SQL expertise for complex data analysis and reporting (intermediate to advanced)
REST API design and webhook management for building custom integrations
Experience with event-driven architecture and real-time data processing
Understanding of data modeling, ETL processes, and data quality management
Knows how to go out and get customers
Deep understanding of B2B buyer journeys and revenue metrics
Experience owning revenue KPIs with measurable impact on pipeline and conversion
Ability to translate technical capabilities into business outcomes
Track record of cross-functional collaboration and project leadership

Responsibilities

Build autonomous AI systems that research prospects, craft personalized messages, and manage follow-up sequences at scale
Develop sophisticated lead scoring and enrichment pipelines using various data providers and waterfall enrichment methodology
Create AI-powered personalization engines using LLMs for dynamic content generation across all touchpoints
Design intent-based trigger systems that identify and act on buying signals automatically
Implement in-app and chat automations that guide users through their journey and capture expansion opportunities
Create real-time dashboards tracking pipeline velocity, conversion rates, and revenue efficiency metrics
Implement predictive models for churn prevention and expansion opportunity identification
Design automated lead routing logic that considers rep expertise, capacity, and historical performance
Create customer lifecycle triggers that identify upsell opportunities and prevent churn
Design and implement a composable GTM architecture connecting tools in our revenue stack
Build event-driven workflows that respond to buyer signals in real-time (e.g., pricing page visits trigger instant enrichment and personalized outreach)
Create reusable automation patterns and maintain APIs