Actively AI is defining a new category: Intelligence-Led Revenue.
Revenue organizations have always been bottlenecked on human capacity. Reps triage which accounts get attention. Context disappears at every handoff. On any given day, the vast majority of accounts have exactly zero people thinking about them.
Actively addresses this at the structural level. Our platform deploys Per-Account AgentsTM across our customers’ TAM, working 24/7 to research, identify opportunities, and advance next steps without being asked. Leading enterprises including Ramp, Ironclad, and Samsara are already making this shift.
Our co-founders are former Stanford AI researchers, and the team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We've raised $68M from TCV, First Harmonic, Bain Capital Ventures, First Round Capital, and more.
As one of our Agent Product Managers, you'll be at the forefront of how B2B companies transform their GTM strategies with AI. You'll work directly with enterprise customers to design, build, and optimize AI-powered workflows that revolutionize how their sales and marketing teams identify and engage prospects.
This is a high-impact, hands-on role that combines product management, technical implementation, and direct customer-facing work. You'll embed with customer teams to understand their unique GTM processes, then architect and deploy AI agents that integrate into, complement or replace their existing workflows. Working closely with Sales, Forward Deployed Engineers, and leadership, you'll ensure customers aren't just adopting our platform but fundamentally changing how they approach revenue generation as an AI-first GTM org.
What You’ll Do- Design and deploy AI agents tailored to each customer's specific GTM workflows, pain points, and objectives
- Own the full post-sale lifecycle for a portfolio of enterprise customers, implementing repeatable methodologies for agent deployment, training, and ongoing optimization
- Collaborate directly with customer stakeholders (SDRs, AEs, Sales Leaders) to map existing processes and identify optimization opportunities
- Run continuous optimization cycles — analyzing performance data, gathering user feedback, and iterating on agent configurations to maximize ROI
- Act as technical product advisor to customer leadership teams, helping them envision and execute their AI-driven GTM roadmap
- Partner with Forward Deployed Engineers to build and deliver customized product solutions that fit and enhance customer workflows
- Build and manage enablement programs for SDRs and AEs to ensure successful adoption of AI-powered workflows
- Translate frontline insights into scalable product improvements and new use case opportunities
- 4+ years experience in one or more of the following: Product Management, Consulting, Investment Banking, former founder, GTM operator in early stage startups
- Technical fluency with ability to understand AI agent logic, prompt engineering, and workflow automation
- Skilled at working cross-functionally with technical teams like Product Engineering and FDEs
- Proficient in SQL with strong analytical instincts for measuring and optimizing performance
- Customer-obsessed problem solver who thrives on building trust and driving measurable business outcomes
- Excited to build processes from scratch in a fast-moving environment with high ambiguity
- Comfortable wearing multiple hats and stepping into complex technical and business challenges
- Experience at an early-stage startup building and scaling functions and processes
- Background in a technical field (CS, Stats, Engineering, Economics, etc)
- Previous experience with AI/ML product implementation or prompt engineering
- Track record of driving product adoption and measurable customer outcomes
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.
At Actively, you write playbooks rather than follow them. You own outcomes, not just tasks, and see directly how your work changes what customers can do — across a product and go-to-market motion that is scaling fast.
The team is high-caliber and low-ego: people who work from first principles, move with urgency, and care deeply about building something that drives real value. If that's the kind of challenge you're looking for, Actively is the right place.
Benefits- 🚀 Competitive Early-Stage Equity
- ⚕ Health, Dental, Vision Coverage
- 💡 Unlimited PTO + Recharge Days
- 🍽️ Catered Lunch on Tuesday & Friday, Dinners every day!
- 🍿 Fully Stocked Kitchen
- 💻 Cutting-Edge Tech & Tools
- 🌴 Annual Off-sites & Monthly Events
- 🚆 Commuter Benefits
- 🏢 Cozy Office in NYC
Actively AI New York, New York, USA Office
30 W 21st St, New York, New York, United States, 10010 6905
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
