Envoy protects the places the world relies on most by unifying people, spaces, and communications in one secure, integrated workplace management platform and ecosystem. More than 16,000 workplaces around the world trust Envoy to run secure, compliant, and connected operations across every location.
From manufacturing sites and data centers to pharmaceutical labs, healthcare facilities, and corporate headquarters, Envoy makes safety, security and associated regulatory compliance something our customers can be proud of. The industry is littered with box-checking and arcane manual processes as the standard and we see our role as the company to bring experience, efficiency and simplicity everywhere. Great experiences bring great security – it's a requirement. We hope this problem space excites you and we hope you're ready to come sweat the details with us – we have a lot of customers counting on us! And it certainly won't be easy.
Learn more at envoy.com
About the role
Marketing at Envoy runs on a mix of product-led signups, inbound demand and outbound motions across several products. You'll be the person who tells us which of those actually create pipeline and revenue — and you'll build the data foundation that makes the answer trustworthy.
This is a hands-on, technical role. You'll write production SQL and dbt models, not just query tables someone else built. You'll sit with Marketing and RevOps leadership as their analytical partner, and with the Data team as a builder who ships to the warehouse.
This is an onsite position that requires at least 5 days a week (Monday - Friday) in our San Francisco HQ office.
You will
You'll work like a forward-deployed engineer embedded in Marketing: sit with the team, find the problem, and ship the data product that solves it — on AWS, in production, end to end.
Own the marketing data platform on AWS. Build and run marketing pipelines across Redshift, S3, Glue, Lambda and Iceberg tables, with infrastructure defined in Terraform and deployed through GitHub Actions.
Model the funnel in dbt. Ship tested staging, intermediate and mart models for lead → MQL → SQL → opportunity → closed-won, plus semantic models others self-serve from.
Build attribution as a product. Design multi-touch attribution across web, paid, events, email and outbound, run it as scheduled jobs in Airflow, and expose it through governed tables and APIs.
<