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.

About the Role We’re looking for a Senior/Staff Data Platform Engineer to build and scale the foundation of Actively’s data ecosystem — the pipelines, transformations, and infrastructure that power every agent, insight, and workflow across the company.

You’ll design systems that take in vast amounts of raw, often inconsistent data from many sources and turn it into structured, reliable information that Actively’s agents can reason over in real time. These systems will need to support diverse data shapes — from structured CRM tables to unstructured transcripts, documents, and external signals — and handle both high-volume throughput and nuanced customer-specific variations.

This role combines data architecture and infrastructure engineering at scale. You’ll build modular, schema-aware systems that are flexible enough to adapt to new data types and customer configurations, yet opinionated enough to stay consistent and maintain data quality. As the platform grows, you’ll ensure it remains performant, observable, and ready to serve increasingly complex workloads across thousands of accounts being operated by agents.

What You’ll Do

• Design and scale core data pipelines that process and transform high-volume structured and unstructured data into reliable, ready-to-use data models.
• Build data infrastructure for scale — ensuring performance, reliability, and flexibility as customer volumes and use cases expand.

Who You Are

Why Join It’s not often that you can get in on the ground floor of a well-funded startup that’s scaling very fast. That means that instead of following a playbook, you’ll be writing it. Every single day you will be challenged to identify how we can scale and execute on it. You’ll learn what works when you succeed and what doesn’t when you fail. You'll also be in the trenches with an incredibly high caliber, low-ego group of people that are obsessed with building something great.

Benefits

• 🚀 Competitive Early-Stage Equity
• ⚕ Health, Dental, Vision Coverage
• 💡 Unlimited PTO + Recharge Days
• 🍽️ Catered Lunch on Tuesday & Friday w/ Dinners Everyday!
• 🍿 Fully Stock Kitchen
• 💻 Cutting-Edge Tech & Tools
• 🌴 Annual Off-sites & Monthly Events
• 🚆 Commuter Benefits
• 🏢 Cozy Office in NYC

The base salary range for this full-time position based in New York is: $160,000 - $200,000. Note on Pay Transparency: Actively AI provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Actively AI factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Actively AI leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting.