Growth marketer for Tier 1 accounts, aka. Whale hunter [In Person, SF]

56% of the Tier 1 accounts we pursue end up scheduling a serious commercial meeting with us.

We do this through obsessive research and creative angles, aimed at the right person. If that sounds like your kind of puzzle, this role is for you.

We’re a team of 30, mid-8 figs ARR, with products that are used by thousands of companies, from early stage startups to enterprises like Hubspot, Rippling, Clickup etc.

Our ICP is founders, product teams, and engineering teams.

This role is the #1 lever we pull to drive revenue at Recall.ai and is about getting in front of our Tier 1 accounts. Each account is a $500K+ deal. Today, when we go after one of these accounts, we book a meeting 56% of the time. Here's how you’d do it too:

• Extremely deep research. You'll map an org of 1000s of people down to who actually makes the decision. Figure out everything about them, including their priorities and pain.

  • For example: Reading everything that’s publicly available, or tracking down someone who left the company six months ago and networking to get inside intel on the org/person.

• Find all the ways in. The person is important, but so is the way that we get in contact with the person. Every relationship, network, and favor across this company is yours to pull. We prioritize effectiveness over cleverness.

  • For example: cold emailing, warm intros, a dinner built around one person, a package sent to their actual home, an ad in their building's elevator, etc.

• Move every piece on the board. You’ll orchestrate every interaction behind the scenes.

  • For example: Get the founders to ping an investor for a warm intro, get our execs to attend an event our prospect will be at, etc.

We value depth over breadth. You'll work about 100 accounts a quarter. It’s normal to have never done this before.

• We treat everybody like an owner of the company: Watch through our library of recorded fundraising calls from our Seed, Series A and Series B raises. See every board deck, investor update, and more. Get a front row seat to how we close $1M+ deals with companies like Salesforce, while being a 30 person company.

• 50% of the team are ex-founders. Extremely high talent density. Work with others who are as driven as you are.

• No bureaucracy. You’ll own and drive every initiative you work on from start to finish. We fully trust you.

• In-person in SF, 5 days a week.

• You are not ready for the occasional 60 hour work week right now.

• You are not ready to work 5 days a week, in SF.

• You are not comfortable working without clear structure.

• You are not ready for a risky career opportunity. Even with our growth, we are still an early-stage startup. If you need something more predictable, this is not the right fit.

• 100% covered, top-of-the-line health insurance, dental, and vision.

• Breakfast, lunch, and dinner covered.

• Ubers/Waymos to and from office covered.

• Gas costs covered if you commute and live 10mi+ from the office.

• Unlimited PTO.

• If not in SF, we cover relocation costs and provide assistance.

• Computer and workspace stipend.

• Do the best work of your life and be part of a group of people who deeply care about their work.

Recall.ai is building a new hyperscaler for the world's largest dataset: conversation data. Our mission is to get all the conversation data in the world into a form that's accessible and understandable by AI.

Companies like Salesforce, HubSpot, Datadog, Rippling, Deel, Monday.com, Calendly, Asana, and Workday already work with us. Every software company of note is either already powering their AI features through Recall, or in a deal cycle with us.

They choose us because this problem is genuinely important and hard to solve.

Here's why our mission is important: 50-70% of an office worker's day is uncreative toil that AI can alleviate (e.g. sending emails, scheduling, drafting contracts, etc.). But AI is bottlenecked by context, not intelligence. Just like how humans get most context from conversations, we’re giving AI the eyes and ears to access the same conversation data set.

This is a brutal infrastructure problem because conversations happen all at once. At 9am Pacific, millions of people across North America click "start meeting" within 60 seconds of each other, every single hour. Our load graph spikes vertically at the top of every hour. Our weekly peak load is 4,000% higher than our weekly minimum. When Amazon built AWS, they built it to handle Black Friday, one day a year where millions of people hit their systems at once. We deal with the equivalent of roughly 240 Black Fridays a week.

We run nearly 100,000 computers in our cluster, processing the equivalent of 3,000 full length movies of raw video per second at peak load, and we're just getting started. All the words ever written in human history are still less than 20% of one year of US office conversations.

What makes this exciting is how early we are. We captured 0.02% of office conversations last year, just in the US. If in 5 years, 20% of tech forward companies want conversation context inside their AI tools, that's a thousand times more data than we process today.