About the job
Join our team as a Senior Product Manager, Acrobat Enterprise and drive the future of enterprise document workflows. Lead GenAI-native product development, shape strategy, and collaborate with cross-functional teams to deliver impactful solutions. If you excel in product management and AI innovation, this is your opportunity to make a significant impact.
Responsibilities
Own product outcomes end-to-end: Define product vision, strategy, and roadmap, and drive execution to deliver measurable business impact.
Build and scale GenAI-native products: Identify high-value enterprise workflow problems and develop innovative solutions from concept to launch.
Be the voice of the customer: Engage with customers, partners, and analysts to deeply understand needs and translate insights into product direction.
Evangelize the product vision: Clearly communicate strategy and progress to internal partners and external audiences.
Lead cross-functional execution: Partner closely with engineering, design, research, marketing, sales, and legal to deliver high-quality products at speed.
Drive successful go-to-market strategies: Collaborate with GTM teams to launch products, accelerate adoption, and ensure customer success.
Operate with data and rigor: Define success metrics, analyze performance, and continuously iterate based on insights.
Qualifications
Minimum
Product management experience: 7+ years building and shipping customer-facing products, ideally for enterprise customers.
Cross-functional leadership: Proven ability to lead a cross-functional team of engineers across multiple engineering teams and UX designers, while collaborating with product marketing, legal, and other teams to launch new products.
Analytical strength: Strong problem-solving skills with the ability to turn data into actionable decisions.
Communication excellence: Clear and compelling communicator who can simplify complex ideas for diverse audiences.
Technical foundation: Bachelor’s degree (or equivalent experience) in computer science, mathematics, systems engineering, Information Systems, Physics, or an equivalent.
Preferred
Demonstrable GenAI proficiency: Demonstrated ongoing AI skill development and staying current with emerging AI technologies. Experience building AI-native products is a strong plus.