Chief Product Officer

About the role

As Chief Product Officer at ASAPP, you will lead the company’s product strategy and portfolio through the next stage of growth. You will turn differentiated AI technology into products that enterprises buy repeatedly, deploy successfully, and scale. Operating at the executive level with customers and company leadership, you will work closely with product teams, researchers, engineers, and designers on requirements, architecture, production data, customer workflows, and technical trade‑offs. You will bring enterprise AI judgment, commercial instinct, and operating rigor to build a product organization that holds a high standard.

Responsibilities

• Strategy and portfolio
  • Define the vision and priorities for the ASAPP portfolio.
  • Make clear choices about durable differentiation and translate market, customer, and technology shifts into a focused roadmap.
  • Partner with Research, Engineering, Delivery, and Security to convert AI advances into intuitive, reliable, and commercially valuable products.
  • Work directly with customers to uncover repeatable patterns and turn them into reusable product and platform capabilities.
• Ownership and quality
  • Lead products end‑to‑end from incubation through production deployment, adoption, expansion, and scale.
  • Establish clear ownership, success metrics, and accountability across the portfolio.
  • Ensure customers can deploy ASAPP’s GenerativeAgent and achieve measurable value.
  • Maintain high standards for reliability, integrations, usability, configurability, adoption speed, and business results.
  • Use telemetry, customer feedback, operational data, and business metrics to identify issues, improve quality, and set investment priorities.
  • Set a high bar for AI quality, evaluation, safety, reliability, latency, and observability, partnering with technical teams on trade‑offs.
  • Establish clear priorities, make hard trade‑offs, and partner with Engineering to ship with urgency, stability, and technical excellence.
• Organization and market
  • Shape selling and deployment strategies by collaborating with Sales, Marketing, Customer Success, and Delivery on positioning, packaging, segmentation, and product strategy.
  • Build trust across Research, Engineering, GTM, Delivery, and company leadership, aligning the organization around product priorities and customer outcomes.
  • Recruit, develop, and retain outstanding Product and Design talent, creating an organization with strong leaders, clear accountability, and excellent judgment.

Requirements

• Significant experience building and scaling AI products that enterprise customers run in production.
• Strong familiarity with modern generative AI, agentic systems, and AI‑powered workflows.
• Technical product depth: ability to engage meaningfully with researchers and engineers on AI systems, orchestration, knowledge and retrieval, evaluation, safety, latency, reliability, data, and platform architecture.
• Builder mentality: proven record of personally building products through ambiguity, finding product‑market fit, and scaling them.
• Enterprise product judgment: experience in complex B2B environments with deep integrations, many stakeholders, demanding production requirements, and long‑term deployments.
• Customer and commercial instinct: comfortable with senior enterprise customers and able to differentiate individual requests from broader market value.
• Productization ability: demonstrated skill in turning common customer patterns into scalable product or platform capabilities.
• Operating rigor: strong prioritization, metrics orientation, and accountability; comfortable making difficult trade‑offs.
• Leadership: proven ability to attract, develop, and lead exceptional Product and Design talent while staying personally engaged in key decisions.
• Entrepreneurial spirit: thrives in constant change, limited structure, rapid learning, and evolving product‑market fit.
• Relationship builder: can build trust across Research, Engineering, Sales, Delivery, and executive teams and align them around clear product choices.

Strongly Preferred Experience

• Enterprise customer experience, contact‑center, or communications products.
• Voice AI, conversational AI, or AI systems that operate in real time.
• Developer platforms, extensible enterprise platforms, or complex enterprise workflow products.
• Working closely with AI research teams and bringing research advances into production.
• Technology partnerships and ecosystem integrations.

Compensation

Salary range: $350,000 – $400,000 per year, consisting of base salary and performance bonus. In addition, you will receive an equity grant.