Responsibilities
- Lead the end-to-end strategy, roadmap, and delivery of an AI-powered Data Security Platform and Data Security Posture Management features, including data discovery, classification, risk assessment, and automated fixes across cloud, hybrid, and on-prem systems.
- Make machine learning and large language model-driven data discovery and classification the foundation of the product, using context-aware detection and embedding similarity to surpass traditional pattern-matching methods in accuracy and reach.
- Advance autonomous capabilities such as continuous scanning bots, automatic tagging, and policy-based remediation, ensuring appropriate human oversight and system safeguards.
- Advocate for an API-first, headless architecture that exposes all features through well-documented APIs, enabling seamless integration with customer tools and native use by AI agents.
- Translate complex customer data security challenges into a prioritized, actionable roadmap, balancing innovation, competitive needs, and platform stability.
- Conduct comprehensive discovery through customer interviews, win/loss analysis, competitive reviews, and product usage data to inform high-impact product decisions.
- Define success metrics for AI features, including classification precision, coverage, false positive rates, adoption rates, and early indicators of market fit.
- Drive business outcomes by deeply understanding the market, buyer personas (like CISOs and data governance leaders), and competitive dynamics to guide product positioning and investment.
- Collaborate with leadership on pricing and packaging strategies, aligning product development with revenue goals, customer retention, and expansion opportunities.
- Serve as a trusted technical voice with customers, leading roadmap discussions, supporting key sales efforts, and representing the product externally.
- Work closely with Product Marketing and Sales on go-to-market strategy, messaging, launches, training, and incorporating field feedback into product planning.
- Author detailed technical specifications, PRDs, and decision records that precisely define system behavior, data flows, APIs, edge cases, and failure handling.
- Engage at the architectural level with engineering teams to shape scalable solutions for data discovery, classification, posture computation, and integration design.
- Reduce risk in high-ambition initiatives through discovery spikes, prototypes, and reference implementations—especially for AI and autonomous features—before full-scale development.
- Evaluate technical designs independently by reviewing API contracts, sketching data models, and using AI-assisted tools to prototype and validate concepts.
- Define requirements for data discovery and security posture across AWS, Azure, and GCP, as well as hybrid and on-prem environments, ensuring broad and consistent coverage.
- Own the requirements enabling a unified platform experience across SaaS, PaaS, and on-prem deployments without divergent codebases or user experiences.
- Design compliance into the product by enabling customers to demonstrate adherence to standards like PCI-DSS, SOC 2, and GDPR, in partnership with security and customer teams.
- Shape integrations and API design so DSPM data flows seamlessly into existing customer tools such as SIEMs, ticketing systems, and cloud security platforms.
- Collaborate with engineering from concept through launch and adoption, helping prioritize work, remove blockers, and make trade-off decisions when necessary.
- Set a high standard for product craftsmanship—through exemplary documentation, rigorous discovery, sharp prioritization, and clear decision-making—and mentor other product managers.
- Partner with Product Marketing, Sales, and Customer Success to position the product, equip customer-facing teams, and ensure customer insights feed back into the roadmap.
- Apply agentic AI tools in your own workflow for research, analysis, and prototyping, using them as disciplined accelerators while rigorously validating all decision inputs.
Benefits
- Hold the most senior individual contributor role in your domain on a fast-growing, patented data security platform, with full ownership across business and technical dimensions.
- Function in a dual-depth role that combines technical product management rigor with business product ownership, on a platform that values both equally.
- Work at the cutting edge of AI and agentic automation as applied to data security, solving novel problems in securing AI systems and their data.
- Tackle meaningful challenges—your work directly safeguards sensitive data for major global enterprises.
- Own a unified platform spanning cloud, hybrid, and on-prem environments for both data security and posture management, with the challenge of delivering excellence everywhere.
- Join an AI-forward team that actively uses AI as a practical force multiplier, not just a marketing term.
- Be part of a five-time Great Place to Work certified organization with a top-tier team.
Work Arrangement
Hybrid — Mississauga, ON, Hybrid or Remote Across CAN/US/EU
Other
Candidates must be able to commute to and work from the Mississauga office four days per week.
