Lead Product Manager, Data and Machine Learning (ML) en CLEAR - Corporate

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 30+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.

As a Lead Data and Machine Learning Product Manager, you’ll own the vision, strategy, and execution for data products and machine learning across CLEAR’s product suite. You'll be powering real-time insights and your work will sit at the core of how CLEAR scales intelligence, automation, and trust.

What You Will Do

• Define and own the product strategy and roadmap for CLEAR’s data and ML-powered capabilities, spanning internal intelligence platforms and customer/partner-facing use cases.
• Lead the design and delivery of systems that support ML model development, deployment, and monitoring, in partnership with Engineering and Data teams.
• Define and evolve reporting and analytics capabilities, helping us understand and optimize user identity verification, usage, and conversion.
• Work closely with stakeholders across Engineering, Data, Security, Product, GTM, and Ops to ensure robust, compliant, and scalable solutions.
• Translate regulatory requirements (e.g. GDPR, CCPA) into data handling features that preserve trust and transparency.
• Set clear KPIs and success metrics, and use them to inform prioritization, iteration, and impact storytelling.

What You’re Great At

• 8+ years of product management experience, ideally owning data platforms, ML-powered features, or analytics products
• Strong fluency in data infrastructure, machine learning workflows, and responsible AI concepts
• Experience delivering end-user and partner-facing features (e.g. personalization, core identity, insights, fraud detection)
• Skilled in partnering with Data, Engineering, and Security teams to ship performant, privacy-safe, and compliant systems
• Adept at leading cross-functional teams, navigating ambiguity, and driving from vision to execution
• Excellent communication skills; able to explain complex concepts to technical and non-technical audiences alike
• Deep curiosity and user-first mindset, with a passion for unlocking value through intelligence

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. 

The base salary range for this role is $200,000-$230,000, depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

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