דרושים Data Manager

• High growth: In just six years, we’ve reached milestones that take other companies a decade or more. We’ve doubled our employee count, tripled our customer count, and rapidly expanded our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

• Own the vision, strategy, and roadmap for Orca’s Data & AI Security products.
• Define how Orca helps organizations discover, classify, and protect sensitive data and AI assets across cloud and SaaS environments.
• Drive the evolution of AI Security capabilities, including AI asset discovery, AISPM, AIBOM (AI Bill of Materials), model protection, data lineage visibility, and prompt/response risk prevention.
• Identify and prioritize key product initiatives across detection accuracy, automation, and coverage.
• Establish clear success metrics to measure product adoption, precision, and customer value.

• Partner with cross-functional teams – engineering (London), research and analyst, sales engineering, customer success, design, and marketing – to deliver best-in-class features on time.
• Translate technical and regulatory requirements (e.g., GDPR, PCI, AI governance frameworks) into clear product specifications.
• Collaborate on go-to-market strategies, enablement materials, and field feedback loops to drive awareness and adoption of Data & AI Security offerings.

• Engage with CISOs, security architects, and data protection leads to understand their biggest challenges around sensitive data, model security, and AI risk governance.
• Stay ahead of market trends and competitive landscapes in DSPM, AI Security, and CNAPP ecosystems.
• Represent Orca as a thought leader in Data and AI Security – working with customers, partners, and industry analysts to drive category leadership.

• 5+ years of product management experience in SaaS, cybersecurity, or developer/security platforms.
• Technical depth to collaborate effectively with engineers, analysts, researchers and customer-facing teams.
• Strong understanding of cloud architectures (AWS, Azure, GCP).
• Big advantage for proven track record driving data security, DSPM, or AI security products.
• Experience leading complex initiatives across distributed, international teams.
• Highly independent, proactive, and execution-driven – thrives with autonomy and ownership.
• Exceptional communication and storytelling skills; able to simplify complex concepts for varied audiences.
• Fluent English – both spoken and written – is a must. You can communicate clearly and confidently across global teams and with executive-level stakeholders.

The Marketplace team is specifically responsible for:

• Building and maintaining the platform for drivers and couriers to work with Gett, encompassing both backend systems and driver-facing applications.
• Developing dynamic, ML-driven marketplace solutions for matchmaking, pricing, earnings and broader optimisation.
• Managing driver and courier personas.
• Integrating external supply partners (other taxi companies).

Key Responsibilities:

• Generate comprehensive insights through data, market and user research to guide product vision and roadmap creation, with a specific focus on marketplace dynamics in ride-hailing or delivery sectors.
• Lead products and features throughout their entire lifecycle, from initial concept and detailed product requirements to execution and successful delivery, emphasizing solutions that enhance marketplace efficiency and user experience.
• Collaborate closely with Engineering, Data Analytics, Customer Experience, and Marketing teams to build best-in-class products and ensure their successful market rollout within competitive ride-hailing and delivery markets.
• Analyze feature performance through qualitative and quantitative analysis, iterating as needed until objectives are met, with a keen eye on marketplace KPIs.
• Actively contribute to the overall Gett product roadmap, bringing a deep understanding of marketplace operations and competitive landscapes.

Requirements:

• 5+ years of experience as a Product Manager, with at least 2 years specifically on ride tech, delivery and/or food-tech products, or in similar high-volume, dynamic marketplace environments.
• Proven track record of managing and delivering business cases and requirements for products within a marketplace context: the demand and supply problem, dynamic pricing, matchmaking, efficiency optimisations and automations.
• Ability to design compelling user journeys with a strong understanding of user experience principles, specifically within ride-hailing or delivery platforms.
• Demonstrated ability to prioritise effectively and maintain a sharp focus on main goals while ensuring flawless execution with meticulous attention to detail, particularly in fast-paced marketplace settings.
• Strong data-driven problem-solving mindset, including a solid understanding of how to define relevant metrics, set success KPIs, monitor performance post-rollout, and troubleshoot faulty funnels in a marketplace environment.
• Experience in the definition and execution of gradual rollouts, A/B tests, and user segmentation, with an extraction of insights and statistical conclusions.
• Excitement for finding solutions to real user (client and supplier) problems and a collaborative spirit when working with diverse stakeholders such as developers, designers, sales, marketing, and operations teams, with an emphasis on marketplace growth and optimization.
• Exceptional verbal and written communication skills, with experience leading presentations to executives and large groups, conveying complex marketplace strategies clearly.
• Good to have: experience in day to day processes optimisation via AI tools.
• B.Sc. in Computer Science, Industrial Engineering, Data Science, or equivalent experience as a Software Engineer, Data Scientist, Product Analyst, or startup founder, ideally with exposure to marketplace models.
• Advantage: Experience with building ML-powered, complex logic solutions for marketplace optimization.

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

In your role as a Decision Scientist, you will:

· Trackand measure performance against KPIs and goals to identify and mitigate fraud risk and enable growth

· Plan,drive and execute projects from start to finish, with partners across the company, to develop cutting edge, scalable and safe solutions

· Workwith product and platform teams to develop cutting edge, scalable and safe products, to enhance the experience for our global customers

· Growongoing communication with partners across the company and share updates with senior leaders effectively and while translating complex problems into simpler terms

· Planand measure experiments to analyse incremental value of new intelligence feeds, from internal teams or vendors

Our Benefits:

Any general requests for consideration of your skills, please

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Hire for and lead a team of MDR Analysts working globally, guide the team, create and improve processes, methodologies and capabilities that the team requires to work effectively
• Lead a team that analyzes incidents from real customer environments to identify ongoing threats to customer environments
• Provide critical feedback to the different product, research and engineering and threat hunting teams to help improve the products for the entire Palo Alto Networks’ customer base
• Work closely with Security Research, Threat Intelligence and Threat Hunting teams to remediate and detect new emerging threats

Your Experience

• Great interpersonal skills and a proven experience collaborating with customers
• Understanding of the threat landscape in terms of the tools, tactics, and techniques of attacks, as well as networking and security fundamentals
• Basic hands-on coding skills (e.g. Python)
• Excellent written and oral communication skills in English
• Experience investigating targeted, sophisticated or hidden threats
  • Background in forensic analysis and incident and response tools to identify a threat and determine the extent and scope of a compromise
  • Experience with investigative technologies such as SIEM, packet capture analysis, host forensics, and Endpoint Detection and Response tools
  • Understanding of how APTs operate and the attack cycle – different attack vectors, propagation and data exfiltration, lateral movement, persistence mechanism, etc.
  • Understanding of how organizations protect themselves from cyber-attacks, what tools are used and what remediation techniques are leveraged
• Advantages
  • Having worked in SOC analysis or an investigation environment
  • Having worked in Incident Response environment

All your information will be kept confidential according to EEO guidelines.

• High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

As a Product & Data Analyst at Orca, you will take ownership of product analytics at Orca, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.

In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. You’ll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.

• 3-5 Years of experience as a Data Analyst, preferably from a SaaS company
• Proven experience in SQL writing, specifically in querying large and complex data sets
• Experience in BI tools and in DBT/Python
• Looker proficiency – an advantage
• Ability to translate analytic conclusions to business insights and actions along with strong statistical analysis skills and self-learning capabilities
• B.Sc./BA in industrial/information systems engineering, statistics or equivalent
• Experience in operational or cross-department roles – an advantage
• Great communication skills
• Business orientation and a passion for data analytics
• High level of spoken and written English