77 applicants

Company

SpyCloud · 12 hours ago

Senior Product Manager - Analytics and Data

Austin, TX

Full-time

Remote

Senior Level

5+ years exp

Maximize your interview chances

Cyber SecurityFraud Detection

Growth Opportunities

No H1B

Insider Connection @SpyCloud

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Analyze various market segments and collaborate with leadership to choose the best ones to pursue.

Develop a forward-reaching roadmap for your products to illustrate our vision and plan into the future.

Work along-side business strategy to develop and maintain a business proposal that makes a compelling case for continued investment into your products.

Collaborate with other stakeholders such as product marketing on the creation of positioning for your products.

Create user stories for current and future products based on the market's problems.

Manage the entire product line life cycle from sunsetting legacy products to prototyping and testing new features/products and ideas.

Drive buy-build-partner analysis, and where necessary, review potential partner relationships for the product.

Track why we are winning and losing in the market, and drive changes to our product and processes to create improvement.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Product ManagementCybersecurityData AnalyticsMachine LearningArtificial IntelligenceData Sources KnowledgeAgile ScrumLean Startup PrinciplesMicrosoft OfficeBasecampJIRASalesforcePublic SpeakingCollaboration Tools

Required

5+ years of development or product management experience, with at least 2 of which at a senior-level.

Track record of building category-leading products in the cybersecurity and/or consumer fraud industries.

Experience with reviewing and analyzing data analytics and data sources for applicability to a specific market.

Knowledge of currently available Machine Learning and Artificial Intelligence tools and processes.

Familiarity with the types of data-sources available in the cybersecurity market.

Capable of mapping the applicability of the various data-types available for analysis with the overall market-driver use cases.

Capable of working directly with Data Scientists, Data engineers and Security Researchers to help shape our data and analytics processes, going forward.

Track record of successfully leveraging qualitative and quantitative data to prioritize and drive decision-making.

Proficient in productivity applications such as Microsoft Office, Project or Basecamp.

Metrics-driven: Strong analytical and synthesis skills are a must, including the ability to absorb and process large amounts of data into actionable information.

Experience with best practice agile scrum development and lean startup principles.

Curious and comfortable holding professional conversations with our target buyers and users.

Must be a strong writer and public speaker in front of large, senior groups.

Excellent people and management skills to interact with staff, colleagues, cross-functional teams and third parties.