Founding GTM

Responsibilities

• First conversations. Discovery with new firms: how a team works today, where its data lives, what its engineers are already building, and what a first engagement would need to prove. You'll run these yourself and bring in our CEO and engineers when the conversation calls for it.
• Conferences and events. Which ones we go to, who we meet before we arrive, and what happens after. Also the rooms we host ourselves: dinners and roundtables small enough that the right twelve people actually show up.
• Shaping each deal. No two of our deals look alike. One firm wants our API under the agents its engineers are building, another wants analysts working in our app, another wants one workflow running on its own data before anything else. You'll work out which one you're looking at, and shape the pitch and the offer around it with our CEO and product team.
• The buyer's voice in product and marketing. What PMs, CTOs, and heads of data tell you, turned into clear input for our product team and into how we describe Kepler: the story for each segment, the decks, the one-pagers. You'll use what we build the way a user would, and say so when it misses.
• Keeping it all moving. Inbound requests, live conversations, follow-ups, NDAs, scoping sessions, and materials, across dozens of relationships at once and over months. You'll own the coordination, so every conversation has a clear next step and nothing goes quiet.
• Relationships and partnerships. The people in your network and ours who should know Kepler, and the path to each of them: customers, investors, advisors, and the people they'd introduce us to. Also the firms that sit next to our buyers every day, like prime brokers, fund administrators, and data providers, that could bring us into conversations we can't reach on our own.
• Market read. Which firms are adopting AI and how, what competitors are telling the same buyers, and which segments we should go after next.
• In the first few weeks you might include: Learn our system well enough to walk a CTO through it, from where their data lives to how every number in an answer gets cited.; Take over our inbound and live conversations, and make sure each one has a clear next step.; Map the people you and the team already know at the firms we want to work with, and pick the twenty conversations worth having first.; Choose the next conference worth our time, set up the meetings before we arrive, and follow up on every one.; Host a dinner for a dozen people who run research or data at investment firms, and turn a few of those seats into second conversations.; Sit in on a live deal and tell our product team the three things the buyer would push back on, and how you'd change the pitch.
• Longer term, you'll build how we grow our relationships with investment firms: the events, the partner channels, the advisors, how we run a deal from first meeting to signature, and, when the volume calls for it, the team. You're the first person here whose whole job is the market, so a lot of what the function becomes is going to be your call.
• How We Work. We're a close team, working together in an office in New York (with Wagyu, our office dog). We use AI tools heavily: Claude, Cursor, whatever makes us faster. Fluency is assumed. Our engineers work directly with each customer on the customer's own data, and you'll often be in those rooms with them.

Requirements

• 5+ years at a hedge fund, private equity firm, or allocator, or in a seat that works with them every day: capital introduction, corporate access, research, or advisory. No upper limit, comp scales with experience.
• A current network at the firms we work with. Come ready to tell us who you'd call first and why they'd pick up.
• You've built relationships that turned into business: capital raised, clients won, a deal that happened because you made the introduction.
• You can run a first conversation with a PM, a CTO, or a head of data, learn how their team actually works, and leave with a clear next step.
• You know how investment teams work and how the technology underneath them works. You can talk about a model or a filing with a PM, and about data pipelines, APIs, and security with a CTO. You'll learn our system well enough to explain it and show it yourself, and you'll know when to bring in an engineer.
• You can hold a long deal together. You keep dozens of relationships and live conversations moving over months, and nobody has to ask you where one stands.
• You're a natural host: picking the room and the guest list, and making a dinner of near-strangers worth everyone's evening.
• You don't need a sales background. What matters is that buyers trust you and want to keep talking to you.
• AI fluency is part of the job. You'll use Claude to prepare for meetings, research firms, and keep your relationships organized. If that sounds implausible to you, this isn't the right fit.
• You measure your work by the relationships that turn into customers, not by the meetings on your calendar.

Benefits

• 100% covered top-of-the-line medical, dental, and vision insurance for employees and their families. HSA maxed by the company to the IRS limit.
• Automatic coverage for life, AD&D, and disability insurance.
• Daily lunch in office.
• Unlimited PTO policy.
• Development environment budget - latest MacBook Pro, multiple monitors, ergonomic setup, and any development tools you need.
• "Build anything" budget - dedicated funding for whatever tools, libraries, datasets, or infrastructure you need to solve technical challenges, no questions asked.
• Learning budget - attend any conference, course, or program that makes you better at what we're building.