לוח משרות דרושים, לחיפוש זה נמצאו 34,953 משרות

Were looking for a Product Manager to own our core platform domain end-to-end. Youll drive the product development from ideation through development to launch and customer adoption, ensuring every feature delivers real value to our customers.
Key Responsibilities:
Manage the product lifecycle for core platform capabilities
Translate company strategy into actionable roadmaps and prioritized backlogs, balancing customer requirements, market requirements, and technical considerations
Work closely with R&D to deliver features on time and to spec, ensuring alignment between customer needs and technical execution
Engage with customers and stakeholders to validate scope, gather feedback, and support improvements throughout the product lifecycle
Collaborate with pre and post-sales teams to support sales cycles and customer satisfaction.

As a Senior Full Stack Engineer, you play a pivotal role in designing and building scalable, high-performance applications. Youll work across the stack, from intuitive user interfaces while building robust, secure backend systems. In addition, you will provide technical leadership, mentor other engineers, and potentially lead a small team while remaining hands-on in development.
Key Responsibilities:
Lead by example through technical guidance, code reviews, and mentorship.
Drive architectural decisions, best practices, and collaboration with leadership.
Remain hands-on in developing high-performance, secure applications across frontend (React) and backend (Node.js/TypeScript).
Work with diverse data sources and modern databases while ensuring scalability, reliability, and observability.
Design and develop high-performance, user-friendly frontend applications using React and modern UI frameworks.
Collaborate with engineers, designers, and product teams to deliver impactful features.
Build and maintain a platform, deployed both on cloud (SaaS) and on-premises.

As a AI-Data Engineer, youll take a leading role in building the foundation of our companys Agentic Exposure Management platform: the source of truth that tells a security team what they have, whats actually risky and why, how to fix it, and who is responsible.
Enterprises run their security across a sprawl of cloud and on-prem tools. Making sense of that sprawl is the heart of what we do. Were building a complex data fabric that reconciles data from a hundred different sources, applies sophisticated transformation and enrichment, and turns partial, uncertain signal into one trustworthy model of an organizations real exposure.
Key Responsibilities:
Model the security graph. Design an ontology that spans both the modern cloud and the classical on-prem world, abstract enough to absorb 100+ different integrations under one model, yet rich enough to carry everything needed for decision making. Decide whats an entity, whats an edge, and whats a denormalized attribute, across millions of assets and finding rows.
Own asset identity engineering and reconciliation. Upstream identifiers are uncertain and volatile. Engineer deterministic identity resolution for assets and findings arriving from different vendors.
Build LLM-based and agentic pipelines for data classification, entity extraction, and enrichment, optimizing for cost, latency, and precision in production.
Build the integration factory. Stand up a scalable integration platform that drives down time-to-integration.
Build and maintain complex ETL pipelines handling millions of records: incremental sync, complex correlation, and data quality observability and monitoring.

Money is becoming software. That changes everything about how it has to be protected. Stablecoins, tokenized assets, and payments made by AI agents are moving real value at machine speed. Thats where our company comes in. We build the security technology behind how money moves. Coinbase, MetaMask, Uniswap, and many of the largest platforms moving money today rely on us to screen billions of transactions and stop fraud, scams, and hacks before they reach a single user.
Were backed by investors including Sequoia Capital, Ribbit Capital, and Cyberstarts, firms behind some of the biggest names in cybersecurity.
As a Security Data Analyst within our R&D team, you will shape how we understand data, uncover trends, and drive strategic decisions across our company. Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction.
What You'll do:
Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.
Partner with cross-functional teams to understand business needs and design data-driven solutions.