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
Similar Jobs
Artificial Intelligence • Information Technology • Internet of Things • Social Media • Software • SEO
The Product Marketing Director will lead go-to-market strategy, drive product launches, craft messaging, conduct market insights, and enable sales success, collaborating across teams to enhance customer engagement and product visibility.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Director, Product Sales is responsible for building relationships, winning complex deals, and selling Mastercard Move solutions to key prospects, leveraging extensive payments experience.
Top Skills:
FxPaymentsRfisRfpsTreasuryWire Services
Financial Services
Lead customer-centric product innovation for the Client Relationship Management program, overseeing a data platform that enhances client engagement and insights.
Top Skills:
AICRMData AnalyticsData IntegrationData PlatformMachine Learning
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory



