Actively AI
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 datapoints about every single prospect account in the company's TAM to identify and execute the optimal actions each 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.
The base salary range for this full-time position based in New York is: $240,000 - $280,000. What You'll Do Build the orchestration layer for agents - designing and scaling frameworks that reliably connect dataintelligenceaction across GTM workflows. Design abstractions for agent reasoning and coordination, enabling composable workflows that can adapt and scale across thousands of use cases. Engineer high-leverage systems that make agents more reliable, debuggable, and efficient - from distributed execution engines to self-healing workflows. Partner with Intelligence and forward-deployed engineering teams to integrate state-of-the-art reasoning models into production workflows. Own technical direction: set the standard for design, architecture, and engineering excellence on the Agents Framework team. Mentor and level up engineers across the org by modeling strong engineering practices and leading through influence. Who You Are 8+ years of experience building distributed systems, orchestration frameworks, or large-scale backend platforms. Deep experience with AI agents, LLM-powered workflows, or orchestration frameworks (LangChain, Semantic Kernel, custom-built agent stacks, etc.). Skilled in architecting systems that balance latency, reliability, and cost under production workloads. Strong software engineering fundamentals: API design, concurrency, state management, observability. Pragmatic builder: can hack a proof-of-concept but equally motivated to engineer robust, reusable frameworks. Comfortable in ambiguous, fast-moving environments; thrive on setting vision and executing independently. Bonus Points Experience building reasoning, planning, or multi-agent systems in production. Familiarity with distributed task orchestration (Airflow, Ray, Temporal, Dagster). Track record of contributing to open-source AI/agents frameworks. Prior experience at high-growth startups or in GTM-facing AI products. 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 Beautiful Office in NYC
This position is eligible for incentive stock options, subject to the terms of Actively AI's applicable plans. Actively AI offers the following benefits for this position, subject to applicable eligibility requirements: health, dental and vision insurance, retirement benefits, and unlimited PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please discuss with your recruiter for more information.
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 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 datapoints about every single prospect account in the company's TAM to identify and execute the optimal actions each 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.
The base salary range for this full-time position based in New York is: $240,000 - $280,000. What You'll Do Build the orchestration layer for agents - designing and scaling frameworks that reliably connect dataintelligenceaction across GTM workflows. Design abstractions for agent reasoning and coordination, enabling composable workflows that can adapt and scale across thousands of use cases. Engineer high-leverage systems that make agents more reliable, debuggable, and efficient - from distributed execution engines to self-healing workflows. Partner with Intelligence and forward-deployed engineering teams to integrate state-of-the-art reasoning models into production workflows. Own technical direction: set the standard for design, architecture, and engineering excellence on the Agents Framework team. Mentor and level up engineers across the org by modeling strong engineering practices and leading through influence. Who You Are 8+ years of experience building distributed systems, orchestration frameworks, or large-scale backend platforms. Deep experience with AI agents, LLM-powered workflows, or orchestration frameworks (LangChain, Semantic Kernel, custom-built agent stacks, etc.). Skilled in architecting systems that balance latency, reliability, and cost under production workloads. Strong software engineering fundamentals: API design, concurrency, state management, observability. Pragmatic builder: can hack a proof-of-concept but equally motivated to engineer robust, reusable frameworks. Comfortable in ambiguous, fast-moving environments; thrive on setting vision and executing independently. Bonus Points Experience building reasoning, planning, or multi-agent systems in production. Familiarity with distributed task orchestration (Airflow, Ray, Temporal, Dagster). Track record of contributing to open-source AI/agents frameworks. Prior experience at high-growth startups or in GTM-facing AI products. 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 Beautiful Office in NYC
This position is eligible for incentive stock options, subject to the terms of Actively AI's applicable plans. Actively AI offers the following benefits for this position, subject to applicable eligibility requirements: health, dental and vision insurance, retirement benefits, and unlimited PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please discuss with your recruiter for more information.
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.