Senior Software Engineer

About Actively

Actively is building superintelligence for GTM teams. We train custom reasoning agents to think like a company’s best sales reps, and then use them to evaluate millions of datapoint about every single prospect account in the company’s TAM to feed their sales reps the optimal actions to take every day to maximize revenue.

Our customers include some of the fastest-growing companies out there — Ramp, Verkada, Justworks, Ironclad, etc. — for whom we’ve driven hundreds of millions of dollars in added revenue in the past year.

We’ve raised over $22.5M in funding, including a recent Series A led by Bain Capital Ventures

About the Role:

We’re looking for a deeply entrepreneurial Senior Engineer to help us scale both product and go-to-market. You’ll work across the stack and across the company — shipping features that deliver outsized value, owning major infrastructure and product decisions, and building systems that help us onboard and retain customers faster.

Our vision is to deliver a revenue-generating machine — “plug this in, and we’ll power & supercharge your GTM function.” We’re on the path, but there’s a ton to build.

This is a high-leverage, high-ownership role. You'll be deeply involved in everything from feature development to architecture to sales strategy — and you'll work directly with customers to make it all land.

What You'll Do

• Own large pieces of product development — from backend architecture to frontend UX to user onboarding flows.
• Talk to users and pilot customers regularly, collecting feedback and turning insights into product improvements.
• Work with large datasets and LLM pipelines to deliver personalized, real-time actions to GTM teams.
• Collaborate with the team to define engineering architecture, prioritize features, and unblock scale.
• Build tools and systems to streamline onboarding and make customer success more self-serve.
• Weigh in on go-to-market strategy — who we target, how we pitch, what metrics we prioritize — and build accordingly.

What a Typical Week Might Look Like

• Ship a high-impact feature that makes the product dramatically more useful to reps.
• Jump on a customer call to debug a data onboarding issue and find a path to value.
• Refactor an internal LLM pipeline to increase throughput and reduce latency.
• Brainstorm GTM questions with the team — e.g., how should we qualify leads? What’s the best way to run a POC?
• Build a new internal tool that makes sales onboarding 10x faster.
• Propose a shift in roadmap based on customer needs and technical complexity.

Who You Are

• Builder with Depth – 5–7+ years experience in full-stack, infra, or ML roles. You’ve built complex systems and shipped customer-facing products end-to-end.
• LLM/ML Curious – You have strong technical fundamentals and have worked with — or are excited to work with — LLMs and ML pipelines.
• Extreme Ownership – You move fast, take initiative, and love turning chaos into clarity. You’ve owned architecture and product decisions in past roles.
• Customer Obsessed – You love talking to users, making them successful, and sweating the edge cases.
• High Slope – You’re always learning, always experimenting, and always raising the bar.
• Cross-Functional Communicator – You collaborate fluidly across engineering, product, sales, and success.

Bonus Points

• Prior experience as a founder or in an early-stage, high-growth startup.
• Built or scaled internal tooling or onboarding infrastructure.
• Owned delivery of technical products directly to end users.
• Background in data-heavy systems or ML model productionization.

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. This position is eligible for incentive stock options, subject to the terms of Actively AI's applicable plans. 

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. Actively.ai reserves the right to modify this information at any time, subject to applicable law.

Actively AI is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Actively AI is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.