InstaLILY is an AI company that builds and deploys Lily, an AI Forward Deployed Engineer that runs and automates enterprise operational work.
<div class="content-intro"><h2><strong>About InstaLILY</strong></h2> <p><a href="https://portal.instalily.ai/i/homepage" target="_blank">InstaLILY</a> is an AI products and infrastructure company that puts execution at the frontier of enterprise AI. That work begins with <a href="https://portal.instalily.ai/i/lily" target="_blank">Lily™</a>, the world's first AI Forward Deployed Engineer, which learns how a business works, builds the software it needs, and goes live in days. It does not leave when the work ships; it stays and keeps the software working as the business changes. Lily runs wherever the work happens, in the cloud, on-premise, or at the edge, through InstaLILY's Small Data Center, built with NVIDIA technology. Founded in 2023 by Amit Shah and Sumantro Das, InstaLILY has raised nearly $100 million from Energize Capital, Insight Partners, and Home Depot Ventures. Headquartered in New York, with offices in San Francisco, London, and Toronto, InstaLILY serves leading companies across construction, industrial distribution, logistics, healthcare, and other operationally intensive industries. Learn more at <a href="https://instalily.ai/" target="_blank">https://instalily.ai/</a>.</p> <h3><strong>The Traction</strong></h3> <p>Revenue grew 5x over the past year, and Lily has driven over $200M in new annual sales for a single customer. We serve some of the largest operators in our industries, including SRS Distribution (part of The Home Depot family), United Rentals, and Henry Schein, and we work closely with the Google DeepMind and NVIDIA ecosystems.</p> <h3><strong>How We Work</strong></h3> <p>We work in small teams with real ownership: clear problems, direct access to the customers whose work you're changing, and room to ship. Your code runs in live production systems inside billion-dollar operations, so you see your impact directly. People who do well here want that proximity to the work. We're growing fast, and the people who join now shape what this company becomes. Everything runs on three principles: Customers, Culture, and Code.</p></div><h2><strong>TL;DR</strong></h2> <div>We're hiring a GTM Engineer to build and run the engine that drives our growth — outbound experiments, ICP targeting, signal detection, and the data and AI systems underneath them. You're technical enough to build the machine and commercial enough to run it. 0–3 years of experience, with a stronger technical foundation than the typical RevOps profile.</div> <h2><strong>About the Role</strong></h2> <div>Our GTM motion is signal-driven and AI-native. We detect what's happening at target accounts, prioritize who to reach and why, and run outbound plays that are measured from first touch to ARR. The systems behind that — CRM architecture, enrichment workflows, AI agents that prep reps and draft outreach, dashboards our GM checks every Monday — are built in-house, and you'll own them.<br>Some days you're designing and launching a new outbound play against a fresh signal. Others, you're writing the script that validates a CRM import, tightening an ICP scoring model, or extending an AI workflow that turns call transcripts into deal intelligence. You design the experiment, build what it needs, run it, and read the results honestly. There's no layer between you and impact.</div> <h2><strong>What You'll Do</strong></h2> <ul> <li>Design, launch, and iterate outbound experiments: hypothesize → build → launch → measure → systematize. Test ICP segments, signals, channels, messaging, and sequencing — and turn what works into repeatable plays</li> <li>Build ICP scoring models, segmentation logic, and intent-signal pipelines so effort concentrates on the accounts most likely to convert</li> <li>Own the prospecting and enrichment stack (Clay, Lemlist, LinkedIn, and whatever we adopt next) and wire it into the CRM cleanly</li> <li>Build automations and scripts that keep our CRM clean, queryable, and trustworthy — data validation, dedupe, backfills, association logic</li> <li>Extend our AI-native workflows: agent skills for call prep, signal digests, and outbound drafting that our reps use daily</li> <li>Stand up dashboards and reporting that make it obvious what to focus on each week, with every number tying back to source</li> <li>Equip reps by automating the repetitive parts of their day, then showing them how to use what you built</li> </ul> <h2><strong>You Might Be a Great Fit If You</strong></h2> <ul> <li>Have 0–3 years in growth, outbound, RevOps, or a GTM-adjacent role — or a technical background and a deliberate choice to apply it to revenue</li> <li>Are more technical than the typical GTM hire: comfortable with SQL, at least one scripting language (Python or JavaScript), and working with APIs — enough to build without waiting on engineering</li> <li>Think in experiments: you form a hypothesis, ship a V1 this week, measure it, and let the data decide — including when the data says your idea didn't work</li> <li>Are hands-on with modern GTM tools (Clay, Apollo, HubSpot, Lemlist, Instantly, or similar) and genuinely curious about new ones</li> <li>Use AI as a builder, not just a chat user — you've automated real workflows with LLMs or agent tools, or you're itching to</li> <li>Care about data integrity: you verify your work, notice when numbers don't reconcile, and would rather report an honest number than a clean one</li> <li>Want to own problems fully — the need, the system, the launch, and the result</li> </ul> <h2><strong>Nice to Haves</strong></h2> <ul> <li>A CS or adjacent degree, SWE/data internships, or shipped side projects</li> <li>Experience building with LLM APIs or agent frameworks</li> <li>Prior exposure to outbound motions (SDR/BDR or ops support) at a B2B startup</li> <li>Lightweight deployment experience (Vercel/Netlify) or spreadsheet automation at scale</li> </ul> <h2><strong>Why This Role</strong></h2> <ul> <li>High leverage: your experiments and systems directly determine how we find and convert cus