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Product Manager
Data Platform
Confirmed live in the last 24 hours
Locations
Burlingame, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Data Analysis
Data Science
Management
Research
Sales
UI/UX Design
Writing
Responsibilities
  • Lead one or more engineering teams through the ideation, technical development, and launch of innovative product capabilities, geared towards ingestion of data into the platform
  • Drive feature level design sessions and product development with engineers, architects & UX
  • Establish shared vision across the company by building consensus on priorities leading to product execution
  • Define and analyze metrics that inform the success of products
  • Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
  • You will work with your manager and peers to ensure alignment of your team's work with larger Data platform and analytic organization's roadmap
  • Gather and define the requirements that will be used to research and innovate new methods of data acquisition in the cloud
  • Be the expert who can help customers, QA, support, sales, and other groups with questions about our cloud native data infrastructure and products
  • Manage dependencies across different teams and ensure features are delivered on time
  • Triage, prioritize and respond to customer issues and escalations
  • 3+ years product management experience
  • 3+ years of experience working with technical architecture of cloud solutions & security
  • This role requires conceptual understanding & knowledge of micro services, distributed systems, AWS (Amazon Web Services), Big Data eco system
  • Cloud native software delivery experience
  • Ability to manage complex initiatives with limited supervision
  • You are driven, focused, and quick to take ownership of your work
  • Adaptable, resilient, and able to thrive in ambiguity
  • You should feel comfortable with data ingestion, cataloging, integration, and enrichment concepts and techniques and be able to understand how data relates to end user analytics requirements and applications
  • Technical knowledge of big data & cloud technologies, services, tooling & infrastructure preferred
  • Experience working with different technologies used for data acquisition and data replication, like change data capture is preferred
  • Experience working with B2B SaaS (software as a service) company is a plus
  • Software engineering experience is a plus
Guidewire

1,001-5,000 employees

Recurring revenue software
Company Overview
Guidewire's mission is the be the platform insurers trust to engage, innovate, and grow efficiently. The company is building a data-backed insurance solution.
Benefits
  • Financial: Receive market-competitive pay and incentive programs—because you deserve it! To help future-proof your income, we offer generous support through retirement savings plans.
  • Health & Wellness: Keep your physical and emotional health in tip-top shape with health insurance for you and your family, an employee assistance program, annual wellness reimbursement, and access to wellness resources.
  • Flexible Working: Work in an environment where you’ll have the freedom and trust to make an impact, with time for your life outside of work.
  • Downtime: Relax and kick back through our generous paid time-off programs. Make a difference in your community with three volunteer days each year. Take your own personal day of rest with My Day. We also offer ample paid leave for all new parents.
  • Continual Development: We encourage self-directed learning, giving you every chance to become a better version of yourself, both professionally and personally. At Guidewire, lifelong learning is here for the taking.
  • Career Mobility: Your career opportunities are only limited by your own imagination. Guidewire’s community is filled with chances to expand your horizons across any of our teams or worldwide locations.
Company Core Values
  • Integrity: We build and maintain honest, candid, and caring relationships with clients, potential customers, partners, investors, and of course, each other!
  • Rationality: All we do is supported by factual evidence—whether it’s building awesome products, making decisions, or communicating with each other.
  • Collegiality: We’re in it together—so we’re all equal. We work in professional harmony, with respect, without arrogance, and as part of a structure where responsibility is shared and owned by all of us.