Principal GTM Data Engineer & Architect

Tempo

22h•Remote

About The Position

With over 30,000 customers, including a third of Fortune 500 companies, Tempo is trusted by organizations across the globe to make their workflows work better. We create a suite of integrated solutions for time management, resource planning, budget management, roadmapping, program management, reporting and more. We create the tech that enables the modern team to deliver – for every step from first vision to value. Since our beginning in 2007 as a project to make a time-tracking tool to help a client – Tempo has expanded to become the #1 time management add-on for Jira, and we have developed and acquired a multitude of tools to become one of the most trusted names in the Atlassian ecosystem. We want everyone to work better – but we also want to be a tech company with a heart. Join us as we continuously innovate our award-winning products, create new solutions, and help the world work smarter, not harder. About the role: We’re building the revenue engine on clean, structured, AI-ready data, and we’re looking for a senior data leader to architect and launch our GTM data practice. You’ll design and implement the unified GTM data spine that powers segmentation, targeting, ABM, ecosystem intelligence, forecasting inputs, and AI-driven revenue workflows. This role differs from general BI and Data roles. It is focused specifically on GTM systems, revenue modeling, signal activation, and predictive intelligence. You’ll be our primary GTM data leader building the system hands-on while managing external partners as we scale.

Requirements

10+ years of experience in data engineering, analytics engineering, revenue data, or related leadership roles.
Demonstrated experience standing up a GTM or revenue data function from the ground up.
Deep hands-on expertise with modern data stack tools (cloud warehouse, transformation layer, orchestration, reverse ETL).
Advanced proficiency in SQL and Python.
Experience applying data science techniques in a GTM or revenue context.
Experience architecting data systems that power automation and AI workflows.
Strong understanding of CRM and marketing automation data models.

Responsibilities

Build the GTM Data Foundation
Architect and implement the unified GTM data spine across CRM, marketing automation, product telemetry, billing, enrichment providers, partner data, and the warehouse.
Establish identity resolution, deduplication, and source-of-truth logic across systems.
Define canonical schemas that we’ll use to operate the business, enable AI across teams and drive results..
Build scalable ELT/ETL pipelines and orchestration workflows tailored to revenue activation.
Implement governance, lineage, access control, and quality monitoring for GTM data assets.
Partner closely with the BI / enterprise data team to align on shared infrastructure while owning GTM-specific models and activation layers.
Drive Revenue Intelligence & Modeling
Develop and productionize segmentation and scoring models (ICP scoring, ABM prioritization, expansion propensity, trial health, pipeline likelihood).
Apply statistical and machine learning techniques to improve scoring, targeting, routing, and revenue predictability.
Design experimentation and measurement frameworks for GTM programs.
Operationalize predictive outputs directly into GTM systems via agents, reverse ETL, or custom integration (Salesforce workflows, outbound automation, lifecycle programs, ABM platforms, partner programs).
Build Ecosystem & Prospect Intelligence
Architect customer and prospect intelligence systems integrating first-party, enrichment, and ecosystem signals.
Develop frameworks for ecosystem intelligence (partner influence, marketplace signals, derived demand).
Enable real-time or near-real-time signal activation to sales and marketing teams.
Design structured data systems that power future AI-driven revenue workflows.
Lead the Practice
Manage and direct external agency/consulting partners executing against the GTM data roadmap.
Establish architectural standards and technical review processes.
Define the build vs. buy strategy for GTM data systems.
Develop the long-term roadmap for in-house data capability.

Benefits

Remote First work environment
Unlimited vacation in most of our locations!!
Great benefits including health, dental, vision and savings plan.
Perks such as training reimbursement, WFH reimbursement, and more.
Diverse and dynamic teams with challenging and exciting work.
An opportunity to have a real impact on our business.
A great range of social activities (both in person and virtual).
Optional in person meet-ups and the ability to travel to our international offices
Employee referral program
And so much more!