About Actively AI Our thesis is that businesses of the future will be powered by agentic human-in-loop-machines that make every business function 10x more efficient.

Actively AI is building that superintelligent machine for Enterprise GTM organizations, focused on increasing productivity per rep. We power the day-to-day for outbound teams at dozens of companies like Samsara, Ramp, Verkada, and Ironclad.

Why does this matter? Because revenue is the ultimate fuel for businesses. The hundreds of millions of dollars we generate for our customers enables them to employ more people, innovate faster, and deliver more value to their customers.

In addition to top-notch customers that love our product, our team is incredibly high caliber - the co-founders are former Stanford AI researchers and the engineering team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We're also backed by top investors, including Bain Capital Ventures, First Round Capital (seed investors in Uber, Square, Roblox, Clearbit), Lachy Groom, and Stanford AI faculty.

We have a very ambitious product and scaling roadmap, there’s strong market interest in what we are doing, and it’s time to put the foot on the gas. If you get excited by the thought of working really hard on these kinds of problems with a high caliber team, then Actively AI is the right place for you.

Job Description We’re excited to see our product clicking with customers and now want to put our foot on the gas. Concretely, this means doing two things: making it faster to bring in and onboard new customers and executing on an ambitious product roadmap.

Our ultimate vision is to literally be able to sell a revenue-printing machine to our customers (”plug this in and we’ll power & supercharge as much of your sales + marketing function as possible”) and we think we’re well-positioned to get there… but there’s a lot to build!

To help us get there, we’re looking for exceptional engineers who are excited about digging in across:

• the product (working closely with users and customers and owning new product features that make the product significantly more valuable for customers end-to-end)
• the stack (some combination of product engineering, working with LLMs, and building infra to make this work reliably and at scale — we process tens of millions of rows of data daily, including thousands of emails, notes, and call transcripts with LLMs)
• the entire business (contributing to everything from engineering & product to figuring out and scaling the sales motion (”go-to-market” / GTM) — we’re excited about the rare kind of engineer who wants to deeply understand customers and apply those same problem-solving skills to “reverse-engineering” our own sales motion, and think this is what has enabled some of the fastest-growing companies in the world, including multiple of our own customers, to scale as quickly as they have)

This is an extremely high-leverage, high-ownership role that touches the entire business — we firmly believe all problems are everyone’s problems here. If this excites you, we’d love to talk! Day in the Life

This role is in-person in San Francisco. In a typical week, you’d probably:

• Talk to multiple users of our product at current customers, or new companies we’re piloting with, to see how they’re using it, what they need help with, and what we can build to make them more successful — we believe in being super hands-on, especially in this phase, to help our customers succeed (e.g., we onboard each sales rep 1:1, check-ins, fast feedback loops, etc.)
• Build a piece of the product you’re owning that will produce a step change in value for our customers, and work closely with users to test it out and iterate
• Help figure out what on the roadmap to prioritize next / what new features we can build out to solve issues users are facing or unlock more value
• Help with data onboarding / POC for a new customer, including potentially building out tools (many AI-powered!) to automate this work and make it easier & faster in the future
• Contribute to brainstorming on a top-of-mind GTM question (”what should the pre-sales process look like? what metrics should we anchor on? what kinds of customers should we disqualify earlier and how can we recognize them a priori?”)

Who You Are

The following are some attempts to define what the ideal candidate could look like for this role, but we’re excited to chat with you if you think you could be a a great fit regardless of how many of the items below you meet!