The Forward Deployed Engineer is the bridge between Genesis's product and the messy reality of our customer’s enterprise data environments. You'll embed directly with our highest-value clients — on-site or virtually — to deploy Genesis, design blueprints for their specific workflows, unblock adoption, and feed what you learn straight back to the core engineering team.
This isn't a traditional solutions or support role. You'll architect real integrations, and operate with the autonomy of a founding engineer — except your context is the client's environment, in addition to ours. You'll work across Snowflake, AWS, Databricks, and whatever else the client runs, configuring Genesis to handle multi-week data missions.
What you'll do
Client delivery. Own end-to-end deployment of Genesis at enterprise accounts. Configure the platform inside client environments, design and customize blueprints, integrate with their existing data infrastructure, and get them to value fast.
Technical problem-solving on the ground. Debug issues in real-time during client engagements. Work across the stack — Docker, AWS, Snowflake, Python, APIs — to unblock customers quickly, owning immediate fixes while partnering with core engineering on root causes and product improvements.
Product feedback loop. You are the tightest signal we have from the field. Translate client friction into concrete engineering input — whether that's a Linear ticket, a blueprint pattern that should be productized, a prototype enhancement to Genesis or solution built using Claude Code or Cursor, or an architecture constraint the core team needs to hear about. As an early-stage product, rapid iteration is how we win — your field insights directly drive what we build and how fast we ship it.
Demo and pre-sales engineering. Support the sales team with technical demos tailored to prospect environments. Build POCs (we've done Investor360 chatbots, data pipeline automations, analytics dashboards) that show Genesis's capabilities in context.
Client relationship and trust. Become the technical point of contact that enterprise clients rely on. Companies need to trust the person configuring autonomous agents inside their infrastructure — you earn that trust through competence and follow-through.
Genesis Computing delivers autonomous AI Data Agents built for enterprise data engineering teams. The agents research source systems to understand schemas and business logic, design field mappings from bronze source data to gold analytics targets, write and test dbt models and data pipelines, create comprehensive documentation, commit code to Git with pull requests, monitor pipeline execution, and automatically fix errors while continuously learning from your environment.
Founded in 2024 and built by early Snowflake employees Matt Glickman and Justin Langseth, with decades of experience building enterprise data platforms at Snowflake and Goldman Sachs, Genesis helps data engineering teams accelerate work that used to take months down to hours.
Genesis Data Agents start by building a digital twin of your data infrastructure to understand every table, pipeline, dependency, and integration, and then use that context to execute complete workflows from discovery through deployment. Organizations across financial services, healthcare and life sciences, media, retail, manufacturing, and technology rely on Genesis to reduce pipeline development cycles by up to 95%, cut manual work by 60-70%, and free hundreds of engineering hours from repetitive tasks.
Genesis runs as a Snowflake Native Application or deploys in AWS, Azure, Databricks, or Docker environments, ensuring your data never leaves your control while working seamlessly with dbt, Airflow, and your existing data stack. Genesis follows proven Blueprint methodologies with built-in quality gates and validation steps to ensure reliable, production-grade outcomes every time.
Join data leaders already multiplying their team's capacity with intelligent agents that understand enterprise data complexity and deliver measurable results from day one.
Salary
$160,000 - $200,000
Location
New York, NY
Total raised
$5.0M
Last stage
Seed
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.