---
title: 'Forward Deployed Engineering Lead at Enterpret'
canonical: 'https://feeny.ai/job/forward-deployed-engineering-lead-enterpret-new-york-hep0rm6psbe3'
type: 'job'
last_seen: '2026-09-04'
---

# Forward Deployed Engineering Lead at Enterpret

- **Company:** Enterpret
- **Location:** New York, NY
- **Posted:** 2026-08-31
- **Last confirmed live:** 2026-09-04
- **Apply:** https://job-boards.greenhouse.io/enterpret/jobs/7981576003

## Job description

## About Enterpret

As the world moves to AI native applications, one element matters more than anything: the data. At Enterpret, we are unlocking the most impactful dataset for businesses, customer feedback. We centralize feedback across every source, like Twitter, Salesforce, Zendesk, Slack, Intercom, community forums, surveys, and Gong calls, into a single context graph. On top of it we build an adaptive taxonomy for each customer and an agent platform that lets teams query, monitor, and act on customer intelligence wherever they work, whether that's inside Enterpret, in Slack, or in their own AI tools through our MCP server.

Our customers include companies like Canva, Notion, WisprFlow, ElevenLabs, OpenRouter, Western Union, and several other Product Led Growth decacorns and F500 companies. We are backed by Kleiner Perkins, Peak XV Partners, and Unusual Ventures.

Our engineering culture is AI-native from the ground up. Agents, LLMs, and applied ML are not a side project here, they are the core of how we build. We work at the edge of what is possible in agentic systems and push past it.

## About the Role

Our Forward Deployed Engineering team builds exactly what a customer needs on top of the Enterpret platform, at the speed the deal or renewal demands. A custom solution, a product extension, a new capability. Every engagement has a named customer, a named outcome, and an end date. A win counts when the customer uses what we built and keeps using it. What proves general graduates into the product through the owning teams, so every engagement makes the platform stronger.

This role exists because the team needs a hands-on lead in the field. Our customers are in the US, our FDE engineers are in Bengaluru, and the gap between them is where outcomes stall today. You will be the first FDE Lead, reporting into engineering leadership. You own two things: the outcomes FDE commits to customers, and the team that delivers them.

This is a building role. You will write code, design solutions in customer offices, and lead the team from the front. We are not hiring a pure people manager.

## What You Will Do

- Deliver customer outcomes. Go deep with a few customers at a time. Understand the real problem behind the ask, take the build call with product, and ship the solution yourself: connectors, ingestion integrations, context-graph capabilities, agent workflows.
- Build onsite. Travel to customer offices and stay days to weeks. Collect requirements on day one, build in the room, and leave with the outcome shipped and adopted. Every trip has a solutioning agenda and a named outcome before you book travel.
- Run the team. Manage the FDE engineers in Bengaluru. Own intake, prioritization, onsite nominations, and handoffs. Be the bridge between US customers and the India team, so context flows both ways every day.
- Work the seams. Partner with sales engineering on POCs and customer success on renewals. Set expectations with customers directly, and push back on requirements that lead to unsustainable builds. Hand off finished builds to product teams through a single sign-off review.
- Hold the bar. FDE holds the same bar as product engineering. Raise the team's product breadth until every engineer can answer for the whole product in front of a customer.

What It Takes

- You have built solutions directly inside customer environments and carried them to adoption, as a forward deployed engineer, a founding engineer close to customers, or a solutions engineer who ships real code.
- Breadth over specialization. You pick up an unfamiliar part of a product quickly, and you can design and defend a solution on the fly in a room full of customer engineers. You are as comfortable in an executive conversation as you are deep in the codebase, in the same afternoon.
- You have led a small team while still building, and your team shipped faster because of how you ran it, not just what you coded.
- You read what sits behind a customer ask, say no to builds that will not survive, and set expectations without burning the relationship.
- You are comfortable being on the road. Embeds run from a few days to a few weeks, sometimes on short notice. Expect roughly 30% of your time at customer sites.
- Comfort operating AI-first. Our default is that not using AI for a task is the choice that needs explaining.

What Success Looks Like

First 30 days: You know the product hands-on and use it daily. You have sat with customer success and sales engineering, know every live engagement, and have been in the room with our top accounts. You have shipped your first build.

By 60 days: You have run your first onsite, with the outcome shipped and in use before you leave. You run the team's intake and prioritization day to day, and the US-India rhythm is yours.

By 90 days: The outcomes number is moving and visible: wins counted when customers use and keep using what FDE built. Your first handoff to a product team has gone through a clean sign-off review, and the playbook for going deep with a customer is starting to repeat.

Why Enterpret?

- The problem: Be the founding lead of forward deployed engineering. You get the whole platform, the context graph, the taxonomy, the agent stack, behind everything you build in a customer's office.
- Growth: Work directly with the founders and engineering leadership at a Series-B company, and shape a function from its first hire.
- Benefits: Competitive salary, equity, premium healthcare.

## What We Value

At Enterpret, we operate with a deep sense of ownership. We play for the team and do what it takes to win together. We care personally for our teammates while pushing each other with honest, actionable feedback. Above all, we approach everything with humility and a drive to keep learning and getting better.

## Equal Opportunities

We are an equal opportunity employer. We ensure that none of our employees or prospective employees receives less favourable treatment as a result of age, sex, disability, marital status, colour, race, religion or ethnic origin. Equally we aim to ensure that no such employee is disadvantaged by terms and conditions of employment which cannot be justified.

## About Enterpret

## Company Overview
- **One-liner**: Enterpret provides an AI-powered customer intelligence platform that connects support, sales, and market signals into structured context for teams and AI workflows to drive retention and revenue.
- **Entity Type**: Private (Series A – $20.8M raised in December 2024)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2020
- **Founders**: Arnav S. (Co-founder & CTO)

## Core Business
- **Primary industry**: Customer Intelligence / AI-powered analytics
- **Target customers**: B2B – product, customer experience, support, operations, and go-to-market teams at high-velocity product organizations (e.g., Notion, Perplexity, Strava)
- **Mission or purpose**: Help companies build better products by uncovering insights from customer feedback, and create a world where every customer voice matters.

## Products & Services
- **[Customer Intelligence Platform](https://www.enterpret.com/)**: A full-stack SaaS platform that ingests and structures feedback from support tickets, sales calls, surveys, reviews, social conversations, community discussions, CRM data, and product usage signals. Features include Adaptive Taxonomy, Context Graph, Support Intelligence, Sales Intelligence, and Market Intelligence.
- **[Enterpret MCP](https://www.enterpret.com/)**: Model Context Protocol (MCP) integrations allowing teams to query and act on customer context from AI tools like Claude and ChatGPT, and create tickets, alerts, and workflows directly from findings.
- **Integrations**: Native connections to Slack, Jira, Linear, Salesforce, and other internal tools; also supports AI workflow triggers and automation.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding raised – **$25.1M** (Seed $4.3M in March 2022, led by Kleiner Perkins; Series A $20.8M in December 2024, led by Canaan Partners)
- **Notable Investors/Partners**: Canaan Partners (lead Series A), Kleiner Perkins, Sequoia Capital; customers include Notion, Perplexity, Strava, The Farmer’s Dog, Loom, Cameo.
- **Growth Signals**: Headcount grew 28.6% YoY to 63 employees; active hiring across engineering and GTM roles; strong brand adoption among high-profile product teams.

## Competitive Advantages
- **Adaptive Taxonomy**: Feedback categories evolve with product language, so insights remain consistent over time without manual re-tagging.
- **Context Graph**: Every signal is tied to customer segments, LTV, lifecycle stage, usage area, and business outcomes (churn, NPS, CSAT, expansion).
- **Outcome Measurement**: Tracks whether product decisions actually worked (e.g., reduction in ticket volume, improvement in sentiment, changes in retention) – closing the feedback loop.
- **AI-First Integration**: Deep compatibility with MCP and major AI tools (Claude, ChatGPT) enables teams to embed customer intelligence directly into existing workflows and agent systems.

## Strategic Focus
- Expand "customer intelligence infrastructure" to power AI workflows and agents across enterprises.
- Continue deepening integrations with productivity and CRM platforms (Jira, Linear, Slack, Salesforce).
- Scale go-to-market with dedicated commercial and enterprise account executives (hiring in NYC).
- Enhance the platform’s ability to measure revenue impact of product decisions (churn prevention, expansion attribution).

## Why Work Here
- **Culture**: Values-driven environment emphasizing ownership, direct feedback, humble growth mindset, solving customer pain, and fast-paced yet detail-oriented execution.
- **Work Policy**: Hybrid/office options – headquarters in San Francisco, offices in New York City (hybrid) and Bengaluru, India (in-office). Some roles (e.g., Enterprise Account Executive) offer remote/hybrid flexibility.
- **Engineering & Perks**: Tackle complex challenges in NLP, serverless computing, and frontend analytics. Backed by top-tier VCs (Kleiner Perkins, Sequoia, Canaan). Opportunities to see direct impact on customer churn, retention, and roadmap decisions. Small, tight-knit team with strong alumni backgrounds from Google, Amazon, Uber, Rubrik, and Scale AI.

## Sources
1. [enterpret.com](https://www.enterpret.com/careers) – Careers page
2. [enterpret.com](https://www.enterpret.com/) – Main product page
3. [boards.greenhouse.io](https://boards.greenhouse.io/enterpret) – Job listings
4. [linkedin.com](https://www.linkedin.com/company/enterpret) – Company LinkedIn profile
5. [builtin.com](https://builtin.com/company/enterpret) – Company profile on Built In

## Other roles at Enterpret

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