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Technical Product Manager, AI

Technical Product Manager, AI

Posted 45 days ago

Job Description

This job posting has expired and no longer accepting applications.

As Zoox is getting ready for commercial service, we’re building a suite of generative AI-enabled solutions to serve both our external riders and internal operations teams in enhancing the overall customer experience and increasing operational efficiency. We’re seeking a dynamic Technical Product Manager to lead a cross-functional team, including engineers, designers, data scientists, and researchers, in identifying and developing creative ways of leveraging emerging generative AI technologies in our service.

As an integral part of this burgeoning space, you will drive discovery into unmet needs, shape the product vision, define priorities to achieve customer and business objectives, establish clear success metrics, and spearhead exploration of technical feasibility. You will work closely with leadership across Product & Experience, Software, and Vehicle Engineering to advance your vision and implement next-generation AI solutions to support our growing external ride-hail service.

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

In this role you will:

Design dynamic AI-generated capabilities: Leverage creative narrative building elements to enhance the consumer experience across platforms.

Shape Product Vision: Identify major opportunities and craft product vision, strategies, and roadmaps that align with Zoox’s strategic objectives and customer needs.

Strategic Insight: Leverage understanding of Zoox’s market position to deliver industry-leading products that align with our mission.

Dynamic Efficiency: Thrive in a fast-paced environment where processes are flexible, and innovative solutions are essential.

Data Utilization: Utilize data, research, and market insights to guide product strategies and development plans.

User-Centric Design: Integrate user research and market analysis into product requirements to enhance usability and productivity.

Project Leadership: Oversee the planning, initiation, and management of tools, features, services, and product scalability

Team Collaboration: Collaborate with top-tier engineers and designers to drive product development while fostering a positive team environment.

Cross-functional coordination: Work closely with various teams to define product requirements, manage resources, and ensure key milestones are met.

Ship Product: Spearhead the creation and launch of fully realized, generative AI-enabled products with significant customer impact.

Performance Metrics: Develop and analyze metrics to gauge product success and track performance indicators.

Qualifications

6+ years in product management and delivery, with at least 2+ years focused on AI/ML-enabled or Conversational AI products

Bachelor's degree (or equivalent) in Computer Science, Engineering, or a related discipline

Demonstrated success managing the end-to-end product lifecycle, from setting the strategic vision and defining roadmaps to executing product launches and integrating customer feedback

Experience leading discussions with both technical and non-technical audiences around technology tradeoffs and associated product strategy

Strong understanding of Conversational AI technologies, including voice recognition technology, natural language processing and machine learning

Experience leading agile software development and scrum methodology