Менеджер по продуктовому маркетингу (B2B Website)

About the Role

You will own product for the Knowledge Graph and the reporting and analytics experience inside Veeam Data Command Platform (DSPM and AISPM). The graph is where the product's intelligence lives: what sensitive data exists, who can access it, how it moves, and whether the AI working on it can be governed. Actionable dashboards and reporting are how customers see that intelligence, prove their posture to auditors and executives, and decide — and act on — what to fix first. 

This is a builder's product role. You will translate a complex graph data model into queries, views, dashboards, and evidence that security, privacy, and governance teams use every day — and you will partner closely with the engineering leader who owns the graph platform and hyperscale lake integrations. 

You will set the roadmap, define the metrics that matter, and work AI-first — using agentic tools to prototype, analyze, and ship faster than a traditional PM team. 

What You’ll Do

• Own the product vision and roadmap for the Knowledge Graph as a customer-facing capability: the entities, relationships, and insights customers can explore, query, and trust. Partner with engineering on the underlying data modeling (sources, identities, access, classifications, lineage) and translate those decisions into concepts customers actually understand 
• Own the dashboard experience end to end: default landing views per persona (CISO, privacy, data governance, security operations), what earns a spot on them, and the path from a top-line number to underlying records in a few clicks. Every widget should answer "so what do I do now?", letting a user assign an owner, open a ticket, launch remediation, tighten a permission, or apply a policy without leaving the view 
• Own the widget framework and library (posture scores, top risks, sensitive-data heatmaps, access exposure, AI usage, trend lines) with consistent filtering, time ranges, and drill-through. Enable customization and role-based layouts so customers and internal teams can build, save, share, and default dashboards by role or business unit 
• Define the reporting layer: a report builder with saved/shared views, scheduling and subscriptions, and export in the formats enterprises use (PDF, CSV, API). Own audit and evidence packages that hold up for regulators and auditors, with clear scope, timestamps, and provenance back to the graph, and extend reporting coverage to backup and archive estates (Veeam Data Cloud workloads: Microsoft 365, Entra ID, Salesforce) so posture and evidence reflect historical data, not just production 
• Drive trending and posture-over-time reporting, including alerting and thresholds, so customers can show risk reduction rather than a single snapshot. Set the bar for data quality and freshness: how recent the numbers are, how coverage gaps are disclosed, and how the product avoids reporting false confidence 
• Enable downstream and agent consumption: BI integration, warehouse export, and APIs for customers who want the data in their own stack, plus partnering with the AI Agents team to expose graph queries, findings, and posture metrics as MCP tools and resources for customer and internal AI agents 
• Turn graph traversals into product surfaces: access paths, blast radius, data flow/lineage views, AI exposure, and risk prioritization. Partner with the Access Entitlements team on identity-to-data surfaces (multi-hop reachability through nested groups and shadow roles, least-privilege recommendations, entitlements for non-human identities). Own query and search UX for non-technical users, including natural-language and AI-assisted question answering over the graph, and define scale/performance requirements from the user's point of view (what must return in under a second, what can be async, where multi-hop queries must stay interactive at enterprise scale), holding the bar with engineering 
• Build the metrics and KPI framework the platform reports on, aligned with regulatory and framework mappings customers are measured against. Run discovery with enterprise CISOs, DPOs, and data governance leads and design partners, converting findings into a prioritized, defensible roadmap 
• Work AI-first, using agentic tools (Claude Code, Cursor, Copilot) and reusable Claude skills to prototype, query data, draft specs, and validate designs. Partner with design, engineering, PMM, and support to land releases: positioning, documentation, enablement, and adoption tracking

What You’ll Bring

• 10+ years in product management, including 4+ years leading product managers or owning a major platform area, with a track record shipping technical/platform products (data platforms, security or governance tooling, analytics, or developer-facing systems) 
• Strong data fluency: comfortable with data models, SQL, and graph concepts (nodes, edges, relationships, lineage), able to reason about queries and their cost, and able to partner credibly with senior engineers on architecture, performance, and scale trade-offs without needing to be the architect 
• Track record owning a reporting or analytics product area (dashboards, report builders, scheduling, exports) that non-technical enterprise users actually adopt, plus experience building composable, widget-based dashboards with user-configurable layouts that turn insights into in-product actions and workflows rather than read-only charts 
• Judgment about dashboard design: what belongs on a default view, how to make a metric drillable, and how to keep a dashboard useful as data volume grows, along with experience making reports credible at enterprise scale (accuracy, freshness, disclosed coverage gaps, performance on large datasets) 
• Experience with enterprise security, privacy, or data governance buyers (CISO, DPO, data governance, audit) and the evidence they need 
• Excellent written communication: crisp specs, clear positioning, and roadmaps that survive scrutiny 
• Hands-on use of AI-assisted tools in your own workflow, and a view on how AI should change the product itself

Bonus Skills

• Experience with graph databases in production (Neo4j, Amazon Neptune) or graph query languages (Cypher/openCypher, Gremlin, SPARQL) 
• Familiarity with data lakes/lakehouses (Delta Lake, Iceberg, Parquet) and cloud data platforms (Databricks and Unity Catalog, Azure Data Lake, AWS S3/Glue, BigQuery) 
• Background in DSPM, DLP, IAM/entitlements, or AI security posture management, and familiarity with regulatory frameworks and control mappings (GDPR, CCPA, HIPAA, NIST, ISO 27001, EU AI Act, NIST AI RMF, MITRE ATLAS, ISO/IEC 42001) 
• Experience with BI or embedded analytics platforms and report generation at scale, and/or building AI-assisted or natural-language query experiences over structured data

#LI-SO2

About the Role

Veeam is looking for a Senior Director, Product Management to own product strategy, roadmap, and execution for our Data and AI Security portfolio, including Data Security and AI Security Posture Management (AISPM). This portfolio came into Veeam through the Securiti AI acquisition and is a strategic priority area as Veeam builds out data and AI trust capabilities. 

This person reports directly to the CEO and acts as the connective tissue between market opportunity, engineering execution, and executive strategy. They will set direction for the data security /AISPM product team, represent product strategy in executive-level conversations, and be accountable for translating strategy into a roadmap the broader org can rally behind. 

This is a high-visibility, high-autonomy role, looking for someone who can move fast and make sound calls independently. 

What You’ll Do

• Responsible for the Data and AI Security portfolio and adjacent data access governance capabilities 
• Lead and develop the product management team supporting this portfolio, setting clear goals and raising the bar on execution 
• Translate company strategy into a prioritized roadmap, balancing customer needs, technical feasibility, and business impact across a recently acquired product line 
• Represent product strategy directly to the CEO and executive team, with clear, data-driven narratives 
• Partner cross-functionally with Engineering, Design, Marketing, and Sales leadership to ensure alignment from concept to launch 
• Own pricing, packaging, and go-to-market input for the data and AI security product line 
• Bring a strong point of view on the data security posture management and AI governance competitive landscape, and use that to inform roadmap decisions

What You’ll Bring

• 12+ years in product management, with meaningful time leading product teams 
• Direct experience in data security, data access governance, cloud security posture management (CSPM/CIEM), or AI governance/security 
• Data loss prevention (DLP) experience 
• Track record owning product strategy for a security or data governance platform, ideally in a company that scaled or was acquired 
• Proven ability to operate with high autonomy and report directly to executive leadership, including comfort presenting to a CEO with minimal hand-holding 
• Strong analytical skills; comfortable making prioritization calls using data plus judgment when data is incomplete 
• Exceptional written and verbal communication; can distill complexity into a clear, executive-ready narrative 
• Demonstrated success driving cross-functional alignment across Engineering, Design, Sales, and Marketing 
• Bachelor's degree in computer science or equivalent practical experience

Bonus Skills

• Experience integrating an acquired product line into a larger platform 
• Experience with platform and integrations product management (RBAC, MFA, API-level access controls) 
• Mix of startup and enterprise experience

#LI-SO2

The Veeam Kasten team is looking for a high-agency, hands-on Technical Staff Product Manager to help shape the future of cloud-native data protection. Kasten is a multi-time Leader and Outperformer in the GigaOm Kubernetes Data Protection report, and we sit at the cutting edge of one of the fastest-growing markets in infrastructure software. You’ll join a friendly, fast-moving team of builders who win together and move quickly through uncharted territory. 

This is a senior individual contributor role — there are no direct reports, and your impact comes from what you build, ship, and influence, not from the size of an org chart. You’ll spin up your own environments in the cloud, get your hands dirty with Kubernetes, test and tinker until you understand the “why,” and then evangelize what you’ve learned to customers, partners, and the engineering team. You’ll thrive here if you love building, form your convictions through rigorous, data-centric analysis, and can bring others along once you’ve convinced yourself. 

What You’ll Do 

• Partner shoulder-to-shoulder with engineering. Work closely with a world-class, globally distributed development team and the community to break complex problems into simple, shippable steps and drive sprint planning. 

• Own the “why.” Articulate why we are building what we’re building, grounded in rigorous, data-centric analysis, and bring engineers, customers, and leadership along once the merits are clear. 

• Evangelize and gather feedback. When it’s time to showcase, build compelling demos and proofs of concept and evangelize Kasten with customers, partners, and at analyst and community events — then close the loop and iterate. 

• Engage customers and the field. Work directly with customers and sales teams to understand real-world usage, identify growth opportunities, and continuously sharpen the roadmap. 

• Launch and scale. Define, prioritize, and execute end-to-end product development — including new initiatives for Kubernetes data protection and modern virtualization environments. 

• Measure what matters. Define and track success metrics for your product areas, and use them to inform what we build next. 

• Strengthen the ecosystem. Enable tighter integration with alliance and ecosystem partners to deliver value to customers faster. 

What You’ll Bring 

• Deep Kubernetes and cloud-native expertise. Hands-on knowledge of Kubernetes and the broader cloud-native domain (e.g., Red Hat OpenShift, AWS, Azure, GCP) — comfortable setting up and operating your own environments in the cloud. 

• A genuine love for building and technology. A tinkerer at heart who tests, breaks, and learns, and who is hands-on enough to build and showcase demos that highlight product capabilities. 

• Relevant background. Prior experience in sales engineering and product management; technical roles such as field/partner solutions architecture, DevOps, or technical marketing engineering are a strong plus. 

• First-principles problem solving. Ability to break complex problems into simple steps and a data-centric mindset that forms convictions through rigorous analysis. 

• Influence without authority. Strong communication skills to engage engineers, enterprise customers, and senior leadership — and to persuade once you’ve convinced yourself of the merits. 

• High agency in fast-moving environments. A self-starter who navigates uncharted waters, manages multiple initiatives at once, and thrives in an agile, non-hierarchical setting rather than a waterfall one. 

• A team-first approach. A can-do collaborator who wins as a team, builds alignment across the organization, and executes. 

• A track record of shipping. Proven experience bringing new products and capabilities successfully to market. 

• Willingness to travel. Open to travel for customer meetings, partner activities, and conferences. 

Bonus Skills 

• Experience in the data protection industry, including exposure to storage and database ecosystems, particularly those related to protection APIs. 

• Active participation or contributions in the CNCF / open-source cloud-native community.

#LI-KC1