Founding Forward-Deployed Engineer

Posted 3 Days Ago
Be an Early Applicant
New York, NY, USA
In-Office
140K-260K Annually
Senior level
Artificial Intelligence • Marketing Tech • Sales • Big Data Analytics
The Role
Embed with enterprise customers to deploy and customize Deepline across CRMs, enrichment stacks, sequencing tools and data warehouses. Build production code, run live implementations on sales calls, create reusable playbooks, surface product gaps, and influence roadmap while traveling to customer sites.
Summary Generated by Built In
Deepline | In-Person | NYC

Figure out what’s uniquely difficult about our customers' problems, and ensure Deepline solves it. That's it.

Deepline gives AI agents the ability to enrich, validate, deduplicate, and sequence across 40+ GTM providers with a single command. The technology works. But at high-complexity enterprises, teams need an engineer in the room with the customer. You'd be ours.

If you get a rush from building something live while a customer watches, and then seeing it actually work in production at scale, this is the job. Every week is different. Every customer has a different problem. You figure it out on the spot.

What your first 90 days look like
Month 1: You're embedded with two customers. You deploy Deepline into their CRM, enrichment stack, and sequencing tools. You help them customize their AI workflows to match their hardest problems. It’s a mix of data & product engineering. A signal-based trigger workflow for the other. Both go live before the month ends. You text the team when something clicks because you can't help it.

Month 2: You join a sales call. The prospect describes an “unsolvable” problem. You build the solution live on the call. They watch enrichment cascade through providers, deduplicate against their CRM, and push contacts into Instantly. The deal closes that week. You create a reusable playbook from the deployment because we hate doing the same thing twice.

Month 3: You've surfaced 3 product gaps from the field that nobody in the office would have found. Two become features. You've built trust with technical buyers by being the engineer who actually ships, not the one who "takes it back to the team." You've got opinions about where the product should go next. We want to hear them.

What you'll own
  • Deploying Deepline into customer environments. CRM, enrichment stack, sequencing tools, data warehouse.
  • Custom workflows and integrations for customer-specific GTM challenges (ICP scoring, territory routing, signal triggers)
  • Technical closing. Join sales calls, run live implementations, turn "interesting demo" into "production deployment" in days.
  • Surfacing product gaps from the field. You'll have more roadmap influence than anyone outside the founding team.
  • Reusable playbooks from successful deployments that become product features
  • Building trust with technical buyers by shipping, not presenting
You'll recognize yourself here
  • You've done customer-facing technical work. Solutions engineering, sales engineering, professional services, consulting. And you loved it.
  • You write production code (Next.js, Python, TypeScript, SQL) and you can explain complex systems to a VP of Sales in plain language.
  • Bias toward action. Customer has a problem? You fix it live. You don't file a ticket.
  • You've worked with GTM tools (CRMs, enrichment providers, sequencing platforms) or enterprise data systems.
  • Variety is the point. No two weeks look the same. That's what you want.
  • You're the person who builds a prototype before the meeting where you were supposed to discuss whether to build a prototype.
  • You want to be early enough to shape the product and the GTM motion from the inside.
Compensation
  • Salary: 140K-220K
  • Equity: 0.25%-0.75% (seed-stage)
  • Benefits: Health insurance, equipment budget, travel budget for on-site customer work
  • Location: In-person, with travel to key customers (~25%)

Compensation
The base pay range for this role is $140,000 – $260,000 per year.

Skills Required

  • Customer-facing technical experience (solutions engineering, sales engineering, professional services, or consulting)
  • Production coding experience with Next.js, Python, TypeScript, and SQL
  • Experience integrating and deploying into GTM tools: CRMs, enrichment providers, sequencing platforms, and data warehouses
  • Ability to build custom workflows and integrations (ICP scoring, territory routing, signal triggers)
  • Comfort performing live implementations and technical closings on sales calls
  • Bias toward action; ability to prototype and fix customer issues live without escalating
  • In-person NYC presence with travel to customers (~25%)
Am I A Good Fit?
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The Company
6 Employees

What We Do

Deepline is a GTM (Go-to-Market) data infrastructure platform that provides a unified CLI and API for waterfall enrichment, lead discovery, signal detection, and campaign activation. It helps revenue teams automate their go-to-market stack by integrating with tools like Claude Code, Cursor, and Codex, allowing users to turn data into actionable insights without needing new technical resources.

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