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.
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.
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.
- 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'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.
- 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%)
The base pay range for this role is $140,000 – $260,000 per year.
Similar Jobs
Cloud • Software
The Forward Deployed Engineer works hands-on with customers to ensure cloud cost transparency and implementation, focusing on architecture and problem-solving.
Top Skills:
AWSAzureDatadogGCPKubernetesPythonSnowflakeSQLTerraform
Artificial Intelligence • Productivity • Sales • Software
In this role, you will lead the development of software solutions including data pipelines and integrations, while setting technical standards for future projects.
Top Skills:
Custom Application DevelopmentData PipelinesGoogle MeetIntegrations
Artificial Intelligence • Information Technology • Productivity • Software
As a Forward Deployed Engineer, you will integrate AI-ready search APIs with customer products, lead pre-sales technical efforts, and collaborate across teams to drive product development and insights.
Top Skills:
AIAPIsDistributed SystemsJSONRestWeb Infrastructure
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

