Head of Product Management
Signifyd
(San Jose, California)More than a decade ago our founders got started building a new category of products at PayPal and FedEx to protect online retailers from fraud. We found that existing solutions only provided retailers with a cryptic score and relied on human expertise alone to ultimately decide whether or not to accept a transaction. We soon realized online retailers were in need of a simple yes or no decision, but such a product did not exist, and Signifyd was born.
As Head of Product Management at Signifyd, you will be responsible for driving the product roadmap & related initiatives from inception through execution. You will oversee the PM team as well as collaborate closely with UX designers, engineers, data scientists, analysts, marketers and other cross-functional team members within the organization to ensure that our products amaze and delight our users.
- Leading our product management organization
- Working with internal stakeholders to devise a forward-looking product strategy for a dedicated product area. Build, drive and manage a product roadmap against that strategy.
- Owning delivery of product initiatives and releases
- Defining, documenting, and communicating objectives, requirements and constraints for product initiatives and releases
- Collaborate with engineers and designers
- Communicate development status to other stakeholders and document progress toward milestones
- Prioritize and sequence product initiatives
- Experience leading a product management organization within a startup or B2B organization
- Experience in planning and executing product releases
- An entrepreneurial work style - you're a self-starter
- Ability to work well with designers and engineers
- An analytical and metrics-driven work style and excellent organizational skills
- Impeccable interpersonal and communication abilities
- Comfort working in a fast-paced and dynamic environment
- Passion for e-commerce and new technology
- Experience in product management for complex software systems and/or machine learning products
- Background in payments, fraud, and/or data science is a big plus
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