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Equi seeks a technically strong, commercially minded GTM engineer to own and scale the demand engine. You will design experiments, build automation, and drive pipeline from content to meetings and revenue.
You come from both engineering and marketing, and you’ll stand up multiple experiments, measure results, and iterate quickly to find what generates real demand for our evergreen investment solutions.
Job Description:
Equi is an investment management firm building institutional-quality alternative investment solutions. We operate a unique business model: in addition to offering Equi-branded funds, we build white-label fund-of-funds products for some of the top independent multi-family offices and financial advisory firms in the country. We combine deep manager-selection expertise with sophisticated portfolio construction to deliver differentiated outcomes for our clients and partners.
The firm is at an inflection point. Our AUM is scaling rapidly, we've just launched our largest client since inception (a 9-figure opportunity) and have ~6 more clients that have signed or are at the finish line. Now we need someone to build the engine that scales demand for what we've built, and to give Equi a recognizable voice as the experts in evergreen alternative solutions for the wealth channel.
Equi is seeking an Agentic GTM Lead to build our go-to-market engine and own it as it scales. You design and run the systems that create demand, including content, social presence, SEO/GEO, and outbound, along with the automation and AI that tie them together. You own the machine end to end, from strategy to infrastructure to the pipeline and the audience it produces.
If you are a strong engineer without GTM instinct, this is the wrong seat. If you are a strong marketer who cannot build, this is also the wrong seat. We need both in one seat.
Above all, you come with ideas. This is not a role where we hand you a plan to execute. We know the messaging we want and have a hunch about what works, but we do not know which of the fifty things to try will actually generate meetings. That is your job. You bring out-of-the-box demand ideas, stand up multiple experiments at once, and have the instinct and the evidence loop to tell us what is working and what to kill. You are as willing to scrap two weeks of work that isn't producing meetings as you are to double down on what is.
We want a genuinely good, commercially‑minded engineer. Whether you come at it from marketing or from engineering, you pair real technical ability with sharp commercial instinct. You don't just code. You can explain how a given build turns into meetings, pipeline, and dollars. You work like an engineer and a scientist: you build the system, then let rigorous, continuous testing decide what scales and what gets cut.
This seat has a deliberate growth path. As you automate the demand engine, ideally automating much of your own day‑to‑day away, you'll learn what Equi really is by doing the work. That is the ideal background for a client‑facing IR or sales role: someone who already understands the product, the audience, and the systems, and can carry their own book with automation behind them. We're hiring for the engine first, but we're happy to grow the right person into the person who sells.
Equi is a team‑first environment where transparency and healthy debate are integral to our success. We operate with a flat structure: ideas win on merit, not seniority, and every team member is expected to contribute to the conversation. We value intellectual honesty, rigorous thinking, and the humility to change your mind when the evidence warrants it.
Our vision for go‑to‑market is a small, flat team where everyone stays close to the work. As the platform scales, there is a clear path to broader responsibility, whether that runs toward marketing leadership or into a commission‑bearing client‑facing seat.
Equi is a team‑first environment where transparency and healthy debate are integral to our success. We operate with a flat structure: ideas win on merit, not seniority, and every team member is expected to contribute to the conversation. We value intellectual honesty, rigorous thinking, and the humility to change your mind when the evidence warrants it.
Our vision for go‑to‑market is a small, flat team where everyone stays close to the work. As the platform scales, there is a clear path to broader responsibility, whether that runs toward marketing leadership or into a commission‑bearing client‑facing seat.
We are looking for candidates who possess a strong blend of technical ability, commercial instinct, creative range, and a proactive mindset.
Beyond technical skills, we seek people who embody specific traits that are crucial to our culture and success. These qualities are interconnected and define how we approach building demand.
We value builders who look beyond the system to understand the bigger picture. A commercially‑minded GTM engineer at Equi is deeply curious about the "why": Why this channel? Who is the reader? What actually turns attention into a meeting? They engage with stakeholders across the company, offer thoughtful suggestions, constructively challenge assumptions, and propose alternative approaches based on their technical insight and understanding of the audience. They excel at evaluating the trade‑off between build effort and commercial impact, and they can always trace a line from what they shipped to the pipeline it produced.
Trust is fundamental to how we work, and we empower this seat with significant autonomy. High autonomy at Equi means having the freedom to determine the best way to hit an agreed goal. People who thrive here are self‑starters, comfortable navigating ambiguity, proactively seeking information, and taking ownership of their work end to end. This freedom comes paired with accountability: you own your decisions and outcomes, learning and adapting from both successes and setbacks in a psychologically safe environment.
In a firm scaling this fast, speed and decisiveness matter. A bias toward action at Equi means valuing progress and learning through doing rather than getting stalled by over-analysis or the pursuit of unattainable perfection. You make calculated decisions with incomplete information, understanding that most choices are reversible and that iteration leads to better results. You break large problems into manageable steps, run experiments readily, and use feedback to adjust course quickly. You are as comfortable killing something that isn't working as launching something new.
Compensation Range: $120K - $180K
Beyond technical skills, we seek people who embody specific traits that are crucial to our culture and success. These qualities are interconnected and define how we approach building demand.
We value builders who look beyond the system to understand the bigger picture. A commercially‑minded GTM engineer at Equi is deeply curious about the "why": Why this channel? Who is the reader? What actually turns attention into a meeting? They engage with stakeholders across the company, offer thoughtful suggestions, constructively challenge assumptions, and propose alternative approaches based on their technical insight and understanding of the audience. They excel at evaluating the trade‑off between build effort and commercial impact, and they can always trace a line from what they shipped to the pipeline it produced.
Trust is fundamental to how we work, and we empower this seat with significant autonomy. High autonomy at Equi means having the freedom to determine the best way to hit an agreed goal. People who thrive here are self‑starters, comfortable navigating ambiguity, proactively seeking information, and taking ownership of their work end to end. This freedom comes paired with accountability: you own your decisions and outcomes, learning and adapting from both successes and setbacks in a psychologically safe environment.
In a firm scaling this fast, speed and decisiveness matter. A bias toward action at Equi means valuing progress and learning through doing rather than getting stalled by over-analysis or the pursuit of unattainable perfection. You make calculated decisions with incomplete information, understanding that most choices are reversible and that iteration leads to better results. You break large problems into manageable steps, run experiments readily, and use feedback to adjust course quickly. You are as comfortable killing something that isn't working as launching something new.
Compensation Range: $120K - $180K
Requirements: