InstaLILY is an AI products and infrastructure company that puts execution at the frontier of enterprise AI. That work begins with Lily™, 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 https://instalily.ai/.
The TractionRevenue 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.
How We WorkWe 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.
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.
- 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
- Build ICP scoring models, segmentation logic, and intent-signal pipelines so effort concentrates on the accounts most likely to convert
- Own the prospecting and enrichment stack (Clay, Lemlist, LinkedIn, and whatever we adopt next) and wire it into the CRM cleanly
- Build automations and scripts that keep our CRM clean, queryable, and trustworthy — data validation, dedupe, backfills, association logic
- Extend our AI-native workflows: agent skills for call prep, signal digests, and outbound drafting that our reps use daily
- Stand up dashboards and reporting that make it obvious what to focus on each week, with every number tying back to source
- Equip reps by automating the repetitive parts of their day, then showing them how to use what you built
- 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
- 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
- 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
- Are hands-on with modern GTM tools (Clay, Apollo, HubSpot, Lemlist, Instantly, or similar) and genuinely curious about new ones
- 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
- 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
- Want to own problems fully — the need, the system, the launch, and the result
- A CS or adjacent degree, SWE/data internships, or shipped side projects
- Experience building with LLM APIs or agent frameworks
- Prior exposure to outbound motions (SDR/BDR or ops support) at a B2B startup
- Lightweight deployment experience (Vercel/Netlify) or spreadsheet automation at scale
- High leverage: your experiments and systems directly determine how we find and convert customers
- AI-native stack: you'll build with AI agents alongside a team building AI-agent infrastructure as the product
- Cross-functional seat: you'll work with Sales, Product, Engineering, and Leadership daily
- Learning velocity: GTM engineering is an emerging discipline, and you'll define what it means at InstaLILY
- Salary Range: $100,000–$120,000 per year, commensurate with experience
- Equity: Stock options awards, and refreshers for top performers
- Benefits: Medical, Dental, Vision, 401K, in-office Lunch reimbursement, Wellbeing Stipend, Generous Parental leave, PTO and 10 US Federal Holidays, and more!
To ensure a focused, high-quality hiring experience, we kindly ask candidates to limit their applications to 3 open requisitions at any given time. Applying strategically to roles that best align with your skills and career goals gives you the highest chance of standing out. Have you interviewed with us in the past 12 months? We encourage you to reach out directly to your previous interviewer rather than submitting a new application.
InstaLILY is committed to providing an inclusive and barrier-free recruitment process. If you require an accommodation, please let us know, and we will work with you to meet your needs.
InstaLILY New York, New York, USA Office
New York, NY, United States
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