The Role
Lead the strategy and execution of ASAPP's Core ML Platform, driving adoption and delivering measurable innovation in ML development.
Summary Generated by Built In
How We Work: Core Principles at ASAPP
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—embracing both hybrid and remote work to bring the best minds together, wherever they are. 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
- 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.
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
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The Company
What We Do
Our artificial intelligence and machine learning products deliver automation and human augmentation, allowing individuals and organizations to realize their full potential. Today, the world's largest organizations rely on ASAPP to provide amazingly efficient and effective customer experiences. Our Research & Development team is unparalleled, driving the advancement of AI, machine learning, speech recognition, robotic process automation, natural language processing and more.
