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.
We are hiring an AI Operations Lead, GTM to own how AI is applied across the revenue organization. This is a builder, product manager role embedded within GTM.
You will operate as the internal owner of AI systems for GTM, partnering closely with the CRO and GTM leadership to identify high-impact problems, define solutions and build working systems that improve pipeline quality, deal progression and win rates. You will turn ambiguous revenue problems into deployed AI systems that are used daily by Account Executives (AEs).
This role is defined by ownership and impact. The right candidate will consistently demonstrate:
- Owns outcomes, not features
- Demonstrates relentless accountability for real-world results
- Pushes boundaries in pursuit of better outcomes, not novelty
- Gains energy from enabling teammates to win
- Thrives by elevating others through systems and leverage, not by being the hero
- Serve as the internal owner of Actively for Actively’s own revenue organisation
- Deploy and operate Actively internally as the system of intelligence for GTM
- Translate CRO and sales priorities into how Actively should be configured and used day to day
- Act as the primary interface between GTM and Product by operationalising Actively in a real sales environment
- Ensure Actively is deeply embedded into AE workflows and driving measurable revenue impact
- Push boundaries for what our product can do, setting the tone for organisations we sell to and making our revenue org a living breathing example of what best in class AI-Native sales is
- Build and deploy AI-driven solutions on top of Actively and adjacent systems to improve how our revenue org operates day to day across individual contributors, leaders, functions and our CRO/Executive operating cadences
- Must be able to independently build and prototype these solutions and systems end-to-end, even if not at production-grade, with support from engineering as needed
- Examples include:
- Deal progression intelligence
- Stage accuracy and pipeline hygiene
- Next-best-action systems
- Account prioritisation and signal enrichment
- Forecasting
- Post sales
- Automated solutions
- Translate GTM problems into clear system definitions
- Define inputs, outputs, logic and success criteria
- Write lightweight, execution-ready specs
- Move from problem → system → deployment quickly
- Run fast iteration cycles aligned to immediate sales needs
- Partner directly with Sales leaders to prioritise highest leverage problems
- Continuously refine systems based on real usage and feedback
- Own the broader AI tooling stack used by the revenue team
- Ensure systems are usable, adopted and driving measurable outcomes
- Act as the bridge between GTM, Product and Engineering
- Drive improvements in:
- Conversion rates across funnel stages
- Deal velocity
- Forecast accuracy
- Focus on measurable impact, not output
- 2–5 years of experience in roles such as Product Management, RevOps, Sales Ops, Consulting, former Founder or GTM operator in early-stage companies
- Strong technical fluency with solid systems thinking; comfortable working with data, SQL, APIs, AI agent logic, prompt engineering and solutions automation
- Product-minded; able to translate ambiguous problems into clear inputs, outputs, and workflows
- Builder; able to build functional systems and solutions independently, even if not production-grade
- AI-forward; hands-on experience experimenting with LLMs, automation, and emerging AI tool
- Familiarity with GTM workflows including how sales teams operate across pipeline, deal progression, and forecasting
- Experience working with GTM systems such as Salesforce, HubSpot, Gong, Outreach, Chili Piper, BigQuery, Sigma or equivalent platforms
- Comfort working across Product, Engineering, FDEs and GTM teams in a highly cross-functional environment
- Customer-obsessed problem solver who thrives on building trust and driving measurable business outcomes
- Acts as an early AI champion; proactively brings new ideas and capabilities into the organisation
- Prior experience in a high-growth B2B SaaS environment
- Experience building or deploying AI solutions in a production or near-production environment
- Familiarity with sales methodologies and pipeline management concepts (e.g. MEDDICC, forecasting frameworks)
- Experience driving measurable improvements in funnel conversion, pipeline quality, or deal velocity
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
Skills Required
- 2-5 years of experience in Product Management, RevOps, Sales Ops, Consulting, or early-stage GTM roles
- Strong technical fluency with systems thinking, data, SQL, APIs, and AI automation
- Experience with GTM systems like Salesforce and HubSpot
- Hands-on experience with LLMs and automation
- Ability to build functional systems independently
What We Do
Actively is an applied AI company building agents for GTM. Actively transforms revenue teams from human-led execution to Intelligence-Led Revenue — a new way of running revenue where AI agents do the work humans cannot sustain at scale. Its platform deploys one dedicated agent per account, working 24/7 in the background to research, identify opportunities, and advance next steps without being asked. Founded by former Stanford AI researchers, Actively is backed by top investors, including TCV, First Harmonic, and Bain Capital Ventures. To learn more, visit https://www.actively.ai/.









