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San Francisco, California, United States
Onsite
We’re looking for a Founding Customer Success Manager to own and grow our most strategic accounts. Reporting directly to the VP of Sales, you’ll be the first dedicated post-sales professional at Recall.ai, responsible for making sure our biggest customers deploy, expand, and stay. Our ICP is founders, product teams, and engineering teams.
Own a portfolio of 10–15 strategic accounts such as Salesforce, Hubspot, etc. Navigate internal politics, unblock engineering teams, make sure they go from signed -> fully deployed -> expanded
Build a 90-day churn early warning system from scratch. Own the signals, the cadences, the process
Turn top account usage patterns into a replicable playbook for other strategic accounts
Cross-sell new features and products as a natural extension of the relationship, not a separate motion
Partner with AEs on account handoffs and build the knowledge-transfer process that makes them work
Identify patterns across accounts and feed them back into messaging, product, and sales strategy
4–7 years in a technical, customer-facing role or equivalent at a dev-tools or API company
Commercial ownership: you’ve had a renewal quota, expansion target, or NRR goal
Technical credibility with engineering buyers: You can hold your own on APIs, webhooks, and data pipelines without the SE bailing you out
Experience driving adoption inside complex orgs: navigating the gap between the buyer who signed and the team that deploys
Experience working at a Seed, Series A, or Series B company
At least 2+ years of tenure at one company, not a series of short stints
You want to be the first CSM and own the entire motion. No inherited playbook, no inherited accounts list.
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.
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.
