About the team
HashiCorp’s Portfolio Strategy team is central to our R&D organization and closely connected to product management, engineering, design, product marketing, support, and go-to-market teams. As a Senior Product Insights Analyst focused on our secure products (including Vault, Boundary, and Radar), you will connect our product development process to business outcomes and drive insights to improve growth and adoption. This is an opportunity to play a key role in driving impact throughout the product development lifecycle and contribute to the strategic direction of our secure products. You will have high levels of executive visibility and opportunities to work cross-functionally.
What you’ll do (responsibilities)
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Product Insights: Develop and maintain a comprehensive analytics framework that provides real-time insights into the performance of our secure products, focusing on key metrics such as user engagement, feature adoption, retention, and churn.
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Strategic Planning: Leverage insights from the analytics framework to collaborate closely with product managers, driving continuous improvements and strategic adjustments to the roadmaps for Vault, Boundary, and Radar. Drive strategic business transformation initiatives, like quarterly business reviews and annual planning processes.
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Competitive Intelligence: Conduct thorough analyses of competitor security products, gathering intelligence that will inform our product strategy. Produce strategic reports that will guide product management in making data-driven decisions specific to our secure offerings.
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Pricing and Packaging: Collaborate with product marketing to develop and refine pricing and packaging strategies that drive customer adoption and market differentiation. Focus on simplifying the customer journey and optimizing revenue.
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Customer Feedback and Sentiment Analysis: Collect, analyze, and synthesize customer feedback from various sources (e.g., surveys, support interactions, social media) to identify trends and pain points. Use this data to inform continuous product improvements, enhance user satisfaction, and address emerging threats.
What you’ll need (basic qualifications)
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Experience: 10+ years of experience in product management, management consulting, product analytics, or other relevant experience, specifically within the cybersecurity or identity management space.
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Background: Deep understanding of cybersecurity software business models, with a strong grasp of the underlying economics, key product and usage metrics, and the role of telemetry in supporting data-driven decision-making.
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Strategic Thinking: Demonstrated ability to think strategically and develop frameworks for novel problems, with a proven track record of translating data-driven insights into actionable strategies that align with long-term business goals and drive product success.
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Analytical & Technical Skills: Ability to analyze complex datasets and provide actionable insights. Familiarity with data analytics tools (e.g., Snowflake, SQL, Python, etc.) and data visualization tools (e.g., Tableau, Sigma, etc.) or similar tools is required.
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Collaboration Skills: Demonstrated ability to work effectively with cross-functional teams, including engineering, product management, sales, and marketing. Experience in aligning diverse teams to achieve strategic objectives is essential.
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Problem Solving Skills: Strong problem-solving abilities, with a track record of identifying issues and developing innovative solutions in a fast-paced environment.
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Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely to executive level stakeholders.
What's nice to have (preferred qualifications)
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Education: A degree in computer science, statistics, data science, or an MBA.
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Telemetry: Expertise in designing and implementing telemetry systems to capture key data points, enabling robust analytics and insights within infrastructure products.
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Open Source: Familiarity with open source ecosystems, particularly within the security space.
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Licensing Models: Exposure to both on-premise licensing models and migration strategies to cloud within the context of infrastructure products.
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