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Become a product expert, lead customer onboarding and enablement, configure and optimize AI agents and workflows, diagnose product issues, and translate customer feedback into product insights. Create repeatable guides and playbooks, support feature adoption, and help sales teams incorporate Actively into their workflows. The role requires strong communication, teaching ability, technical fluency, curiosity about AI products, and comfort working in an early-stage environment.

Own customer onboarding, Salesforce integrations, technical pilots, data troubleshooting, model performance analysis, and post-launch optimization. Partner with customers, engineering, product, and founders to improve adoption, tune LLM outputs, build onboarding tooling, and inform product roadmap decisions. The role combines software engineering, data science, customer engagement, and technical delivery to drive measurable revenue outcomes.

The Agent Product Manager will design, deploy, and optimize AI workflows for enterprise customers, ensuring effective GTM strategies and measurable outcomes.

The Chief of Staff will support the Co-Founder by driving strategic initiatives, collaborating with executive leaders, and ensuring high execution speed in various tasks across the organization.

Own a concentrated portfolio of 6–8 strategic enterprise SaaS accounts, driving retention, renewals, expansion, executive relationships, ROI narratives, and customer references. The role carries end-to-end commercial responsibility for multi-million-dollar accounts, partners with AEs and product teams, and translates AI-driven workflows into measurable revenue outcomes. This senior individual contributor position is based in New York with expected customer travel and a preference for three office days weekly.

Design and own the companys end-to-end data and analytics stack: build metrics, dashboards, and reporting; instrument product and GTM signals; transform messy data into structured inputs for AI agents; and define analytics infrastructure (dbt, Snowflake, Mode) while partnering across founders, engineering, and GTM teams.

The role involves designing and scaling the data platform for Actively AI, including integrating data from various sources, ensuring data quality, and supporting real-time decision-making for automated agents.

As an Agent Engagement Manager, you'll design and deploy AI agents for clients, optimize workflows, and ensure AI adoption by collaborating with sales teams and analyzing performance data.

Build and scale the data infrastructure for Actively AI's platform, focusing on pipelines, transformations, and operational data management. Ensure data quality and real-time processing.

Design and build AI-driven agents and large-scale backend systems to improve efficiency in revenue organizations, ensuring reliability and scalability during high-volume processing.