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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and scaling AI products for enterprise customers, with a strong focus on product-market fit, reliability, and measurable business outcomes. Proven ability to lead cross-functional teams and drive product strategy in complex B2B environments.
Highest-signal resume keywords
AI Product DevelopmentGenerative AI FamiliarityProduct-Market FitStakeholder EngagementTeam Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Systems ArchitectureProduct StrategyMetrics OrientationScalable Product CapabilitiesComplex B2B Integrations
Soft Skills
AccountabilityPrioritizationTrust BuildingEntrepreneurial SpiritDecision-Making
Tools & Technologies
GenerativeAgentTelemetry ToolsOperational Data AnalysisCustomer Feedback SystemsAI-Powered Workflows
Industry Keywords
Enterprise Customer ExperienceContact Center ProductsVoice AIConversational AITechnology Partnerships
About the role
Key responsibilities & impact- Define ASAPP’s product vision, direction, priorities, and focused roadmap
- Partner with Research, Engineering, Delivery, and Security to convert AI advances into intuitive, reliable, commercially valuable products
- Work directly with customers to identify recurring enterprise problems and turn them into reusable product and platform capabilities
- Lead products from incubation and product-market fit through production deployment, adoption, expansion, and scale
- Establish ownership, success metrics, and accountability across the product portfolio
- Ensure customers deploy ASAPP’s GenerativeAgent and achieve measurable value
- Set standards for reliability, integrations, usability, configurability, adoption, speed to value, and business results
- Use telemetry, customer feedback, operational data, and business metrics to improve quality and set investment priorities
- Set standards for AI quality, evaluation, safety, reliability, latency, and observability
- Make prioritization and investment tradeoffs and partner with Engineering to ship with urgency, stability, and technical excellence
- Work with Sales, Marketing, Customer Success, and Delivery on positioning, packaging, segmentation, and product strategy
- Align Research, Engineering, GTM, Delivery, and company leadership around product priorities and customer outcomes
- Recruit, develop, and retain Product and Design talent
- Build an organization with strong leaders, clear accountability, and excellent judgment
Requirements
What you’ll need- 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
- Ability to engage with AI systems, orchestration, knowledge and retrieval, evaluation, safety, latency, reliability, data, and platform architecture
- Record of personally building products through ambiguity, finding product-market fit, and scaling products
- Experience in complex B2B environments with deep integrations, many stakeholders, demanding production requirements, and long-term deployments
- Experience with senior enterprise customers and commercial product judgment
- Demonstrated ability to turn recurring customer needs into scalable product or platform capabilities
- Strong prioritization, metrics orientation, accountability, and tradeoff decision-making
- Proven ability to attract, develop, and lead Product and Design talent
- Entrepreneurial spirit in changing, rapidly learning environments
- Ability to build trust across Research, Engineering, Sales, Delivery, and executive leadership
- Strongly preferred: enterprise customer experience, contact center, or communications products
- Strongly preferred: voice AI, conversational AI, or real-time AI systems
- Strongly preferred: developer platforms, extensible enterprise platforms, or complex enterprise workflow products
- Strongly preferred: working closely with AI research teams and bringing research advances into production
- Strongly preferred: technology partnerships and ecosystem integrations
Benefits
Comp & perks- Performance bonus
- Equity grant
- Hybrid and remote work options
- Equal opportunity employment
- Disability assistance with the employment application process