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We're seeking a results driven VP of Product to take full ownership of our product vision, strategy, and execution. This role is for a proven leader who thrives on accountability, builds data powered products, and delivers measurable business outcomes.

If youre a strategic thinker who turns insight into action and impact we want to hear from you.

Key Responsibilities

Define and shape the long-term product vision.
Develop, lead, and execute the overall product strategy.
Own the product roadmap and communicate it clearly across the company.
Collaborate with world-class engineering and data science teams to deliver on the roadmap.
Establish and implement best practices across the entire product lifecycle.
Build and lead a high-performing product management organization and culture.
Represent the voice of the customer throughout the organization.
Identify market opportunities for new products or enhancements to existing ones.

We are seeking a seasoned and execution driven VP, head of data platform to lead all the R&D tracks of the Data and Analytics organization in our company. This role focuses on leading a complex data engineering organization at scale, driving delivery, operational excellence and cross-company enablement through world-class data platforms and tools.
This leader will serve as the engineering owner of our data platform, managing multiple data infra, data engineering and BI development teams, overseeing extensive resources, and ensuring the delivery of high-quality, scalable, and reliable data products and services. This position requires a strong technical background combined with exceptional leadership, strategic thinking, and cross-functional collaboration skills.
He will also act as a key stakeholder in defining the architecture and strategic direction of our data infrastructure, pipelines, AI/ML infra and platforms to support the company's rapid growth and evolving business needs.
What youll do: 
Lead and manage the entire data platform, including:
Real-Time Data & Streaming Infrastructure: Introduce and engineer robust data streaming infrastructures (e.g., using Kafka, Pub/Sub, Dataflow) to enable near-real-time data ingestion and scalable low-latency data serving, unlocking advanced analytics and critical use cases.
Data engineering teams responsible for the data ingestion, transformation and delivery pipelines
BI infra and development teams owning the cross-company consumption layer, including BI tools, BI data layers and dashboards
Serve as the operational and delivery lead across the data platform, ensuring strong project execution, roadmap alignment and measurable business impact
Data Engineering & Architecture Oversight: Lead the design, development, and evolution of scalable data platforms, encompassing data lakes, data warehouses, and advanced data products, ensuring they meet performance, reliability, and business requirements.
Operational Excellence & Reliability: Establish and drive engineering operational excellence processes across data engineering, significantly improving data quality, availability, and system reliability. Implement frameworks for proactive monitoring, alerting, and incident management, reducing major incidents and ensuring continuous visibility into data flows.
Advanced Data Observability: Integrate and leverage cutting-edge data observability solutions (e.g., Monte Carlo) to provide comprehensive visibility into data pipelines, enabling proactive detection and resolution of anomalies.
Cross-functional Collaboration & Stakeholder Management: Collaborate extensively with product, analytics, business, and infrastructure teams to align data strategies with overarching business priorities, ensuring the delivery of high-quality data products that meet diverse user needs.
Innovation & Technology Adoption: Stay abreast of the latest data, cloud, and AI trends, driving the evaluation and adoption of modern cloud-native technologies to continuously improve platform capabilities and future-proof the ecosystem.
Leadership & Team Growth: Lead, mentor, and grow a large team of data engineers, fostering a culture of technical excellence, continuous learning, and agile methodologies. Oversee budget management and drive talent development within the team.
Data Governance & Quality: Oversee the implementation of standards for data quality, data integrity tools, governance, privacy, and regulatory compliance across the data ecosystem

we are seeking a visionary and results-driven VP of Business Applications to lead the evolution of our enterprise systems and digital transformation. This executive will define how our company leverages technology to drive growth, operational excellence, and customer experience - accelerating our transition to a service- and subscription-based business model.
The VP will oversee the strategy, implementation, and optimization of enterprise applications that enable efficient operations, scalable sales processes, and data-driven decision-making. A key focus will be embedding AI and automation across business processes to enhance productivity and strategic insights. This leader will manage a team of experienced managers, align initiatives with company goals, and foster a culture of customer obsession and extreme ownership.
Why Join Us?
Lead a high-impact transformation initiative in world-leader of cybersecurity.
Work with cutting-edge technologies, including AI, to drive innovation in business applications.
Collaborate with industry-leading professionals in a dynamic and forward-thinking environment.
Competitive compensation, benefits, and career growth opportunities.
If you are a strategic leader with a passion for business transformation, customer obsession, and extreme ownership, we invite you to apply and be a key driver of our evolution to a subscription and services-first business model.
Key Responsibilities
Define and execute the strategic roadmap for business applications, supporting the companys transition to a subscription- and services-based business model.
Lead the optimization, integration, and scalability of core enterprise systems, including CRM, ERP, and sales enablement tools.
Partner with Sales, Finance, Operations, and IT to align technology solutions with business priorities and strategic goals.
Drive automation, standardization, and AI adoption to enhance operational efficiency, predictive analytics, and decision-making.
Oversee business intelligence and data analytics tools to enable data-driven insights and performance tracking.
Ensure data integrity, security, and compliance across all business systems in collaboration with cybersecurity and governance teams.
Manage vendor relationships and technology investments to maximize value and performance.
Lead, develop, and inspire a global team of managers and specialists, fostering a culture of accountability, innovation, and customer obsession.