New York · San Francisco · Full-time
About InstaLILY
- Insta
- LILY builds AI teammates for the physical-goods economy: industrial distribution, healthcare, supply chain, manufacturing, and automotive.
- Our model is simple: one company brain, many teammates.
- We build company-specific AI-powered brains called Insta
- Brains.
- Built on small, specialized language models (SLMs), they codify the customer's knowledge and decisions, like their parts, jobs, and pricing.
- On top of it, Insta
- Workers act as AI teammates inside the tools customers already use, completing the sales, service, and operations work that drives the business.
Backed by Insight Partners ($25M Series A) and supported by the Google, NVIDIA, and Microsoft ecosystems, we are one of the fastest-growing AI startups in the country. Our team has already driven over $200M in incremental revenue for customers to date. InstaLILY's architecture has been featured in Google DeepMind's case study showcase.
We're driven by three core principles: Customers, Culture, and Code. We call them The Three C's.
The Role
You'll be a trusted advisor and point of contact for enterprise clients. You own the day-to-day relationship through deployment, surface expansion opportunities, and bring back to product what we should be building. Analysis is one tool in a broader toolkit; the job is judgment and client traction.
What You'll Do
- Trusted advisor: Own the day-to-day client relationship across deployment, new opportunities, and the broader strategic conversation. Drive recurring check-ins and working sessions, own pre-reads and materials, close action items.
- Post-discovery deal partnership: Partner with AEs after discovery calls to advance the deal. Author client-facing materials, scope tailored demos, and frame the use case assessment that defines what we'd build.
- Workshops and success metrics: Facilitate use case refinement workshops with the customer. Define success metrics inside the customer's data.
- Contract through pilot: Draft SOWs and contract terms. Stand up and run POCs. Lead pilot onboarding and own pilot success.
- Strategic collaboration with product: Translate field signal into product decisions and zero-to-one feature development. Surface expansion opportunities across accounts.
- Cross-functional operations: Build the templates, trackers, and playbooks the Growth team runs on. Drive alignment across sales, product, marketing, and leadership.
- Sales and market intelligence: Assist sales on prospecting and ICP fit. Maintain a sharp view of client industries, competitive dynamics, and the AI landscape.
What You'll Need
- Experience: Recent graduate or 1–2 years in consulting, client-facing strategy, growth, operations, research, or a comparable high-ownership role.
- Academic background: Technical or research-intensive field (CS, engineering, neuroscience, economics, or similar) that trained you to think rigorously and go deep.
- Natural curiosity: You want to understand how things work — clients' businesses, the product, the industry.
- Comfort with ambiguity: You operate without a playbook and build one as you go.
- Communication: Your writing lands; you can explain complex things to non-technical audiences.
- Bias for action: You drive to closure without being asked.
- Analytical instincts: You structure ambiguous problems, pull signal from data, and turn findings into recommendations.
- Ownership: You finish what you start; the quality shows.
- Technical curiosity: Excited to go deep on how the product works and AI capabilities so you can speak credibly with clients.
- Organization: You manage multiple priorities without dropping threads.
- Good judgment: You know when to push and when to flag a risk early.
- Travel: Occasional client onsite when the situation calls for it.
What You'll Get
- Proven product: Customers are live; this isn't a bet on an unproven thesis.
- AI-native: In how we build, how we work, and what we sell.
- Visibility: Small Growth team at the center of how we scale; what you do here will be visible quickly.
- Stage: Early enough to shape how the company scales.
- Global: Offices in New York, San Francisco, and London.
- Culture: Sharp, low-ego team that keeps raising the bar.
- Growth: The learning curve is steep.
