דרושים » אינטרנט ודיגיטל » Technical Product Manager Data & Integrations

As a customer-centric tech company, we created an insurance experience that is smart, instant, and delightful.
youll be working with a group of like-minded makers, who get a kick out of moving fast and delivering great products. We surround ourselves with some of the smartest, most motivated, creative people who are filled with positive energy and good karma.

Unlike most publicly traded companies, were nimble and efficient. We take pride in the fact that we still think and operate like a startup. We dont care much about titles and hierarchy and instead focus on innovation, bold moves, and challenging the status quo.

Were built as a lean, data-driven organization that relies on a common understating of objectives and goals to provide teams with autonomy and ownership. We dont like spending our days in meetings and we skip committees altogether. theres no such thing as going over someones head. We have zero tolerance for bureaucracy, office politics, and lean-back personalities.

As a Public Benefit Corporation and a certified B-Corp, we deliver environmental and social impact using our products and tech. Through our Giveback program, we partner with organizations such as the ACLU, New Story, The Humane Society, Malala Fund, American Red Cross, 360.org, charity: water, and dozens of others, and have donated millions towards reforestation, education, animal rights, LGBTQ+ causes, access to water, and more.

Cortex, one of the fastest-growing products in the history of cybersecurity, is now expanding to shape the future of cloud security.
Being a part of the Cortex product team gives you an unrivaled chance to work with an amazing core team with the resources of the world's cybersecurity leader. At Cortex we challenge the status quo and create the platform and practices that redefine the cybersecurity industry as we know it.
As a senior product manager, you will be responsible for shaping and enhancing our cloud workload protection offering as part of our platform. You will work closely with a team of industry experts within our leading cybersecurity company. Your primary focus will be on helping customers manage vulnerabilities, misconfigurations, compliance, and runtime issues associated with their cloud workloads.
This role will be focused on developing and leading outpost solutions that extend our security capabilities into diverse customer environments. You will play a critical role in shaping how organizations secure their modern applications across hybrid and multi-cloud infrastructures:
Outpost Solution Leadership: Lead the product definition and roadmap for our outpost solutions, enabling seamless integration of our security posture scanning for customers.
Multi-Cloud Expertise: Leverage deep technical knowledge of the configurations and APIs of major cloud providers (AWS, Azure, GCP) to design robust, efficient and adaptable security solutions.
Container and Orchestration Security: Develop capabilities for securing Kubernetes clusters, container registries, and other cloud-native technologies.
Your Impact
Market Research & Competitive Analysis: Conduct market research and competitive analysis to identify trends and opportunities for expanding cloud workload protection capabilities.
Customer Engagement: Collaborate with customers and field teams to gather feedback, understand pain points, and ensure our cloud workload protection solutions meet their needs.
Roadmap Development: Co-develop and maintain the roadmap for cloud workload protection, prioritizing features and making informed trade-offs to balance innovation with practicality.
Enterprise-Grade Features: Work with engineering, research, and UX/UI design teams to design and deliver enterprise-grade cloud workload protection features.
Cross-Functional Collaboration: Collaborate with other product managers and teams to break down silos and bring innovative, disruptive approaches to the platform.
Performance Tracking: Define and track KPIs for Cloud Workload Protection, continuously optimizing product performance against established goals.
Product Evangelism: Work closely with product enablement, marketing, and sales teams to evangelize cloud workload protection internally and externally, conducting demos and presentations.

Were looking for a Product Design Team Leader to lead the Program Design team, which is responsible for shaping the user experience of ' core product offerings, including Cyber Asset Management (CAM), SaaS Management, Identities, Software Management, and Exposure Management.
In this role, youll drive the design vision and execution across these areas while working closely with the Director of Product Management and a group of domain-focused PMs. Youll also collaborate in parallel with the Platform Design and Design System teams to ensure alignment, consistency, and scalability across our products.
This is a player-coach position: you'll lead a team of designers while staying hands-on in the work. A key part of the role includes defining clear and efficient collaboration workflows across Design, Product, Engineering, QA, and Project Management ensuring that every product area your team supports delivers intuitive and high-impact experiences for our users.
If you're passionate about enterprise UX, cross-functional leadership, and building cohesive design solutions in a complex product ecosystem we'd love to hear from you.
Responsibilities:
Lead & mentor: Guide the Program Design teams growth and imact, from recruiting and onboarding new designers to ongoing mentorship and performance development.
Be hands-on: Balance leadership responsibilities with day-to-day design work from wireframes and flows to high-fidelity prototypes.
Collaborate deeply: Work closely with Program PMs, engineers, and stakeholders to ensure alignment across UX, product goals, and technical feasibility.
Own end-to-end experiences: Ensure the product areas your team supports deliver high-value, intuitive experiences to our technical users.
Uplift the craft: Foster a culture of design excellence through critique, design systems alignment, and pushing for pixel-perfect results where it matters.
Think systemically: Help create scalable design frameworks and workflows across the platform.
Translate strategy to action: Connect business and product goals to practical UX improvements and innovations.

Were seeking an experienced Technical Product Manager to lead the development of data-driven solutions that support our organizations strategic goals. In this role, youll work cross-functionally with Data Science, Engineering, and Business teams to turn complex data insights into impactful tools that improve decision-making and operations. We'd love to connect with you if you're passionate about innovation and skilled at bridging technical concepts with business stratagy.
Responsibilities
Product Vision & Strategy:
Develop and drive a clear product vision for our data platform that aligns with company objectives and supports the diverse needs of teams across the organization, delivering scalable solutions and measurable impact.
Cross-Functional Collaboration:
Partner with Data Science, Engineering, and Business teams to design and build products that leverage big data and machine learning, tackling complex challenges and improving operational efficiency.
Requirements Gathering & Analysis:
Lead efforts to collect, analyze, and document requirements, ensuring that solutions are aligned with strategic objectives and informed by real-time data insights.
Lifecycle Management:
Oversee the complete product lifecyclefrom initial discovery to launchmanaging timelines, resources, and deliverables to ensure projects are completed on schedule and within scope.
Performance Optimization:
Track and evaluate product performance using key metrics, leveraging data-driven insights to refine processes and drive continuous improvement.
User Engagement:
Engage with internal end users to gather feedback, understand their evolving needs, and ensure high levels of satisfaction and adoption.
Stakeholder Communication:
Maintain clear and effective communication with all stakeholders, providing regular updates on progress, addressing challenges, and celebrating achievements throughout the product lifecycle.

we are looking for a Senior Data Engineer
What You'll Do:

Shape the Future of Data - Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.
Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).
Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs integrating data engineering with user-facing insights.
Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python. Think creatively to make the hard things simple.
Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines. Take ownership from concept to production and long-term maintenance.
Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective. Help translate ideas into robust data solutions.
Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether thats through lakehouse tables, real-time streams, or analytics-optimized storage.
You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.

Were looking for an experienced and extremely motivated Platform Product Manager to join our rapidly growing team.
As a Platform Product Manager you will create the products and tools that empower teams from Marketing, Monetization, Product, CRM, and Technical Operations to deliver an optimized and personalized experience to millions of players.
Responsibilities
Defining the Product Vision and Strategy: Work closely with stakeholders to understand their pains and needs, and align them with the company's goals and objectives. Define the product roadmap and prioritize feature development based on customer feedback, market research, and business needs.
Gathering Requirements and Creating Product Specifications: Collaborate with cross-functional teams to gather requirements and define detailed product specifications.
Collaborating with Stakeholders: Work closely with various stakeholders, including Market Research, Monetization, Product, R&D, and CRM, to ensure that the products align with the company's overall strategy and meet the needs of the target market. Communicate updates, gather feedback, and address any concerns or issues that arise throughout the product development process.
Overseeing Product Development: Work closely with the development teams to ensure that the product is developed according to the specifications and requirements. Conduct regular sprint planning and prioritization meetings, provide guidance and clarifications to the teams, mitigating risks, and ensure that the products are delivered on time and within project constraints.
Defining and Measuring KPIs: Define and measure KPIs for developed features and products, ensuring they align with business goals and drive product success.

We are seeking an experienced Data Product Manager who is passionate about leveraging data to elevate healthcare. This role focuses on the data platform product, where you will oversee the processing and structuring of data from multiple healthcare sources to build Navinas patient data lake, providing users with a complete, accurate, and actionable understanding of their patients.
Responsibilities:
Shape Navinas Data Platform roadmap by aligning business needs with scalable, high-quality data solutions.
Translate user needs into prioritized product specifications. Make tough prioritization decisions on a day-to-day basis.
Define data processing flows, including API design, data contracts, and data serving, to unify data within the Navina platform and establish a single source of truth across the organization.
Collaborate closely with Engineering, Medical, and Data teams to ensure successful delivery.

We are looking for a seasoned Product Manager to join Product group and help us shape the future of Cybersecurity for nations.

This is a high-ownership role at the intersection of cybersecurity, AI, and product strategy. You will be responsible for defining our cyber artificial agents and applications, leading early-stage discovery, and shaping prototypes into clear product opportunities that can be delivered by the company.

As a PM, you will translate governmental customer problems, threat research, and industry insights into actionable roadmaps that guide platform toward solving the most pressing security challenges. You will impact on nation-wide resilience of countreis, own the lifecycle from problem framing to validated prototype, ensuring continuity through to productionization.

Responsibilities
Lead end-to-end product discovery for cyber use cases of governmental agencies, from market analysis and customer needs to threat landscape research.
Define and own the problem statements and success criteria for AI agents and applications in the Detection, Risk, Response, and CTI pillars.
Partner with Cyber & AI research groups to drive innovation, design and validate prototypes that prove feasibility and demonstrate customer value, and transition validated concepts into scalable reasoning and model capabilities.
Work with R&D application teams to ensure customer-grade delivery of features, maintaining fidelity to the original product vision.
Act as the voice of the customer and the threat landscape, ensuring Dream solves relevant, high-impact problems.
Prioritize initiatives based on threat relevance, business value, and strategic alignment.
Communicate product direction and progress clearly across internal and external stakeholders.
Contribute thought leadership by transforming research outcomes into product narratives and customer-facing messaging.

Required Senior Data Engineer
The opportunity
Join our dynamic Data & ML Engineering team in iAds and play a pivotal role in driving data solutions that empower data science, finance, analytics, and R&D teams. As an Experienced Data Engineer, you'll work with cutting-edge technologies to design scalable pipelines, ensure data quality, and process billions of data points into actionable insights.
Success Indicators:
In the short term, success means delivering reliable, high-performance data pipelines and ensuring data quality across the product. Long-term, you'll be instrumental in optimizing workflows, enabling self-serve analytics platforms, and supporting strategic decisions through impactful data solutions.
Impact:
Your work will directly fuel business decisions, improve data accessibility and reliability, and contribute to the team's ability to handle massive-scale data challenges. You'll help shape the future of data engineering within a global, fast-paced environment.
Benefits and Opportunities
You'll collaborate with talented, passionate teammates, work on exciting projects with cutting-edge technologies, and have opportunities for professional growth. Competitive compensation, comprehensive benefits, and an inclusive culture make this role a chance to thrive and make a global impact.
What you'll be doing
Designing and developing scalable data pipelines and ETL processes to process massive amounts of structured and unstructured data.
Collaborating with cross-functional teams (data science, finance, analytics, and R&D) to deliver actionable data solutions tailored to their needs.
Building and maintaining tools and frameworks to monitor and improve data quality across the product.
Providing tools and insights that empower product teams with real-time analytics and data-driven decision-making capabilities.
Optimizing data workflows and architectures for performance, scalability, and cost efficiency using cutting-edge technologies like Apache Spark and Flink.