• Define and own the roadmap for MBR capabilities, including core bill review workflows, reporting, and adjacent features across integrated solutions • Continuously evaluate where AI-driven capabilities -- such as intelligent document processing, anomaly detection, or workflow automation -- can meaningfully improve client outcomes • Drive the vision for how the product can adapt to client-specific needs while maintaining reliability, compliance, and transparency • Balance innovation with the practical demands of enterprise legal and finance environments • Identify opportunities, including AI-assisted capabilities, that deliver measurable client value without unnecessary complexity • Write clear product requirements and translate these into epics, user stories, and acceptance criteria for product features; leverage AI writing and analysis tools (e.g., Claude, ChatGPT) to accelerate drafting, summarization, and research tasks • Partner with engineering, design, and data teams to deliver features with appropriate guardrails and quality standards • Define and track success metrics including adoption, operational efficiency, and client retention • Draw upon Agile and project management skills to increase engineering effectiveness and execution velocity; use AI-assisted tooling where appropriate to reduce overhead on documentation, sprint planning, and backlog grooming • Act as a translator between business stakeholders, technical teams, and clients across different functional "languages" (Engineering, Sales, Services, Finance) • Present, demo, and influence customers, prospects, and executive leadership on roadmap decisions • Bring clients and prospects along on the AI journey, articulating where AI creates tangible value in their workflows and setting honest expectations about what it can and cannot do today • Develop and align on go-to-market strategies, messaging, and positioning across cross-functional teams • Lead a globally distributed agile team with empathy and cultural intelligence • Model an AI-forward PM culture, encouraging the team to experiment with and adopt AI tools that improve how work gets done • Support engineering teams to ensure agile ceremonies run on time, on budget, and with value across time zones • Foster alignment, accountability, and velocity across diverse teams

Role Description Reporting to the Chief Product Officer, SpyCloud is searching for an amazing VP of Product Management. The ideal candidate possesses a thorough understanding of the security product landscape and has the ability to build and manage security products. This is a critical role within the business that will be responsible for shaping and executing the product vision to ensure we meet the dynamic needs of our customers, delivering innovative and market-leading solutions. You will be a strategic leader, partnering closely with engineering, sales, marketing, and customer success teams to drive product growth and customer success. What You'll Do: - Product Strategy and Vision: - Develop and communicate a clear product strategy and vision that aligns with the company's long-term goals. - Identify market trends, customer needs, and competitive landscape to inform product direction. - Team Leadership: - Lead, mentor, and manage a team of product managers, fostering a collaborative and innovative work environment. - Set clear goals and performance expectations for the product management team. - Product Roadmap: - Create and maintain a comprehensive product roadmap that prioritizes initiatives based on business value and customer impact. - Ensure that product development aligns with the roadmap and timelines. - Cross-Functional Collaboration: - Collaborate closely with cross-functional teams, including engineering, design, marketing, and sales, to ensure successful product launches. - Act as a liaison between different departments, fostering effective communication and alignment. - Market Research and Analysis: - Conduct market research to identify opportunities and threats, and make data-driven decisions. - Monitor industry trends and competitor activities to stay ahead of the curve. - Product Development and Execution: - Work closely with engineering teams to define product requirements, prioritize features, and ensure timely delivery. - Monitor product development progress, resolve issues, and mitigate risks. - Product Performance and Metrics: - Define and track key performance indicators (KPIs) to assess product success and make data-driven adjustments. - Implement strategies to optimize product performance and user satisfaction. - Customer Focus: - Maintain a deep understanding of customer needs and gather feedback through surveys, interviews, and user testing. - Use customer insights to guide product improvements and enhancements. - Budget Management: - Manage the product management budget, allocating resources effectively and efficiently. - Stakeholder Communication: - Communicate product updates and progress to internal and external stakeholders, including executives and customers. Qualifications - Proven experience in product management, or a related role, in the cybersecurity industry. - Fast learner and strategic thinker who can balance big picture strategy with detailed, flawless execution. - Strong customer-centric mindset and proactive sense of urgency. - Experience demonstrating strong leadership, self-motivation, and accountability. - Project management skills with a focus on meeting deadlines and achieving objectives. - Strong technical background and understanding of APIs and integration technologies. - Bachelor’s degree in Math, Science, Engineering, or Business, or equivalent. - Critical thinker that is comfortable supporting collaborative problem solving in a team environment. - Highly self-directed, empathetic, curious, and flexible. - Be self-motivated and able to switch contexts as business needs change. - 5+ years experience in relationship management, product management, or program management within the security product industry. Requirements - Familiarity with Data Science and Artificial Intelligence. - Familiarity with threat intelligence platforms, machine learning applications in cybersecurity, and integrations with SOAR, SIEM, and EDR tools. - Experience in Agile and Lean product development methodologies. - Experience with product lifecycle management in SaaS environments. - CISM, PMP, CISSP. Benefits - 401(k) with Employer Contribution. - Health, Vision, and Dental Insurance. - Health Savings Account (HSA) available with Employer Contribution. - Employer Paid Life, Short-term, and Long-term Disability Insurance. - Generous PTO Plan and 16 paid holidays per year.

• Help define product vision, strategy, roadmap, and growth opportunities, identifying areas of improvement. • Work hands-on with the development, design and customer-facing teams, participating in stand-ups, providing feedback, and assisting in testing. • Keep track of industry trends, diving into product and customer discovery. • Ensure new products and features are evaluated for usability and performance, employing focus group testing when necessary.

• Own the translation of raw alternative datasets into scalable, agent-ready data products. • Design methodologies that answer high-value business questions, determining how disparate datasets should be combined, normalized, and interpreted. • Partner closely with Data Engineering to shape source data pipelines into clean, well-structured datasets with clear definitions and documentation. • Develop deep expertise in the strengths, limitations, biases, and coverage characteristics of key datasets and ensure those nuances are reflected in downstream outputs. • Define how the Insight Agent should use different datasets, including valid query patterns, edge cases, failure modes, and methodological guardrails. • Own metric definitions, data lineage, and documentation to ensure the agent consistently delivers accurate and explainable answers. • Establish standards for how the agent reasons across multiple datasets, preventing over-interpretation and ensuring conclusions remain statistically defensible. • Serve as the final reviewer for methodology-related changes that impact agent behavior. • Translate customer questions into scalable methodologies, data models, and agent capabilities. • Expand the range of questions the agent can answer by enabling new forms of segmentation, cohort analysis, behavioral measurement, and cross-dataset insights. • Partner with Product, Engineering, and Leadership to identify new data sources, use cases, and capabilities that increase the commercial value of the Insight Agent. • Help shape the product roadmap by turning emerging customer needs and experimental insights into repeatable product functionality. • Coordinate testing and validation of staged data changes before they reach production. • Own incident management processes for data quality issues, methodology changes, and upstream source disruptions. • Build and maintain a library of quality checks tailored to the unique requirements of AI-powered customer experiences. • Ensure the agent consistently surfaces reliable, accurate, and internally consistent information across all supported use cases.