Lead the strategy and execution of ASAPP's Core ML Platform, driving adoption and delivering measurable innovation in ML development.
At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship.
We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey.
As the Director of Product, you will lead the strategy, execution, and adoption of ASAPP’s Core ML Platform and data tools, empowering data engineers, scientists, and developers across the company. You’ll define the vision, prioritize the roadmap, and deliver enterprise-grade innovation that accelerates ML development and creates measurable business impact.
What you'll do
- Own successful execution of the Core ML Platform area.
- Drive adoption of ML Platform data tools across diverse roles and business groups.
- Engage with a broad customer base to capture and prioritize requirements.
- Partner with platform teams to advance a shared vision for ML/AI acceleration.
- Define and track success metrics (adoption, productivity, business outcomes).
- Anticipate risks and develop mitigation strategies to ensure product success.
- Conduct market and competitive analyses to inform product strategy.
- Communicate product progress and impact to executives and practitioners.
- Collaborate with sales and marketing to articulate product differentiation.
- Maintain and prioritize backlog to ensure focus on the highest-value work.
What you'll need
- 10+ years in technical product management, with significant leadership experience.
- Deep expertise in ML/AI development tools and platforms.
- Experience designing or managing products with voice interfaces, conversational AI, or other voice-enabled capabilities.
- Proven track record delivering and scaling complex enterprise products.
- Strong understanding of developer productivity and how to measure/improve it.
- Strategic thinker able to craft and drive a long-term vision.
- Demonstrated success in clarifying ambiguity and driving outcomes.
- Experience working closely with engineers, data scientists, and research teams.
- Skilled in balancing tradeoffs, driving decisions, and influencing stakeholders.
- Strong communication skills for executives, technical audiences, and customers.
- Ability to move seamlessly between high-level strategy and execution details.
- Ownership mindset with accountability, creativity, and analytical rigor.
- Cross-functional collaboration across engineering, design, research, product, TPM, and GTM.
Benefits include:
Competitive compensation with stock options
Comprehensive medical, vision, and dental insurance401k matching
Fitness and wellness stipend
Mental well-being benefits
Professional learning and development stipend
Parental leave, including adoptive and foster parents
3 weeks paid time off (increases with tenure) along with sick leave, bereavement and jury duty
ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at [email protected] to obtain assistance. #LI-AG1 #LI-Hybrid
Top Skills
AI
Data Tools
Ml
ASAPP Mountain View, California, USA Office
717 North Shoreline Boulevard, Mountain View, California, United States, 94043
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead multiple oncology product teams through clinical development phases, ensuring integration of end-to-end product strategy, risk mitigation, and delivery of milestones while collaborating with internal and external stakeholders.
Financial Services
The role involves leading acquisition strategies for Chase credit cards, driving performance analysis, and managing a team to achieve marketing goals.
Top Skills:
ExcelPowerPoint
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead strategy and commercialization efforts for secure API-based data access, collaborating with internal teams and engaging with industry standards bodies to drive innovation in open finance.
Top Skills:
APIsCloud InfrastructureMicroservices
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
