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A defense-tech startup, building an AI-powered autonomous systems that connect cameras, sensors, and natural-language interfaces, is looking for a Senior Backend Engineer, to take full ownership of high-performance, low-latency backend systems, design scalable infrastructure, and help shape the core architecture of the platform in a hands-on, early-stage environment.
Responsibilities:
Design and build scalable backend services for real-time systems
Develop data pipelines for video streams, camera networks, and AI outputs
Own backend architecture (APIs, databases, infrastructure, observability)
Build low-latency, high-performance distributed systems
Work closely with ML, product, and infrastructure teams
Maintain production infrastructure using Docker, Kubernetes, CI/CD
Improve system performance and reliability end-to-en

we are looking for a Software Engineering Manager.
As an engineering manager at Riskified, you will lead a talented group of experienced engineers in creating a mission-critical suite of services in the payment fraud domain. The team is working to enable new Riskified product offerings, working closely with Product managers, Research and Analytics teams to validate this new offering and drive a new business forward.
The team is currently focused on Adaptive Checkout, Riskified's premier product suite that operates at the E-commerce payments level to optimize the shopping checkout flow. Your goal will be to increase conversion, reduce false declines, and enhance transaction authorization rates while using adaptive features and capabilities. We are looking for a team leader with a passion for service-oriented and microservice architectures, high performance, reliability, and clean design. You should be an AI enthusiast - someone who is not afraid to embrace and integrate new tools, whether its within the product itself, throughout the development lifecycle, or to optimize management processes. You must be able to focus, support, and drive a team while consolidating requirements from all stakeholders, displaying a high interest in our business and a proactive approach to constant improvement.
Our Tech Stack: Kubernetes, Scala, Node.js, Ruby on Rails, Kafka, Avro, gRPC, AWS, Cockroach DB, Aerospike, Claude code.

we are looking for a Payment Fraud Product Manager.
As the Product Manager for Riskified's Payment Fraud domain, you'll help merchants maximize revenue by approving more legitimate transactions while keeping fraudulent ones out - all without compromising the customer experience. Payment Fraud is Riskified's flagship product, delivering real-time fraud decisions across the full transaction lifecycle and driving measurable impact for merchants across industries.
This is a high-impact role at the intersection of risk, machine learning, and merchant experience. You'll work closely with engineering, data science, analysts, and fellow PMs to build innovative capabilities that detect evolving fraud patterns, optimize approval rates, and surface actionable risk intelligence.
At the core of this role is driving Riskified's market expansion by leading new ventures within the Payment Fraud domain. You will partner closely with Sales to pursue new opportunities, map target industries and geographies, and identify critical gaps between Riskified's current capabilities and prospect needs. By developing a deep understanding of vertical-specific fraud patterns, you will shape and validate solutions that ensure successful entry into new markets through direct engagement with potential merchants and pilot partners.

we are looking for a Product Manager (Policy Protect).
As the Product Manager for our Policy Protect solution, you will play a major role in mission to detect and prevent eCommerce policy abuse. Policy Protect uses advanced machine learning to show merchants in real-time which orders, claims, and customers are trustworthy and profitable, and which ones arent.
In this role, youll collaborate closely with engineering and data science teams to build new machine learning models and maintain high accuracy of the existing models.
Youll focus on advancing the analytical capabilities of our product, ensuring the robustness and scalability of the analysis flow. By aligning strategic direction with goals and working on strategic opportunities, youll ensure that the analytical performance of Policy Protect is top-notch. Youll balance technical constraints with business needs in the product roadmap, contributing to continuous improvement and growth.

we are looking for a Data Science Team Lead.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to extract maximum value from data of all shapes and sizes, including classification models, NLP, anomaly detection, graph theory, deep learning, and more.
Our models and algorithms are integrated into the critical path of product, helping to make thousands of decisions per second in real-time. All the capabilities we develop must meet production-grade requirements in both analytical and engineering standards.
As the Team Lead of a Data Science team, you will manage critical analytical initiatives for our suite of products, shaping the team's direction and focus. You will collaborate closely with Product Managers to influence the future of our product offerings and ensure alignment with company goals. You will need a holistic view of challenges and a keen understanding of the underlying goals of the department and company. In this role, you will lead the team, oversee their professional development, build effective collaborations with other departments, and bring measurable value to product through your team's efforts.

We are looking for a Senior Mechanical Engineer to join our rapidly expanding, multi-talented team in central Tel Aviv. In this role, you will be a part of the Flytrexs mechanical team - responsible for developing drones and sub-assembly as well as leading a full product lifecycle in addition to experiments, lab work and team work. Main Responsibilities:
* Ownership of complex mechanical engineering and design initiatives.
* Comprehensive Design Lifecycle: Leading the process from initial concepts through detailed 3D modeling and engineering.
* Technical Documentation: Preparing and maintaining production data, including assembly guides, technical drawings, and BOMs.
* Cross-functional Collaboration: Contributing to physical prototyping and cross-disciplinary development projects.
* Problem Solving: Identifying and fixing mechanical problems during the prototype evaluation phase.
* Expertise & Collaboration: Serving as a technical resource while supporting routine operations and team objectives.

Were looking for a Solution Architect to bridge the gap between complex AI security challenges and real-world enterprise implementations. In this role, you will work closely with customers, Product, R&D, and Sales to design scalable, secure, and high-impact AI security solutions.

This is a strategic, customer-facing, and hands-on role where you will own the technical design of enterprise deployments and play a key part in shaping how our platform delivers value in production environments.

What Youll Do:

Own Customer Solution Design

Lead technical discovery sessions with enterprise customers to deeply understand their AI usage, architecture, and security requirements.

Design end-to-end solution architectures tailored to customer environments (cloud, hybrid, on-prem).

Translate security and governance needs into scalable technical implementations.

Be the Technical Bridge

Work closely with Sales during pre-sale processes to support technical validation and proof-of-value engagements.

Partner with Product and R&D to communicate field feedback and influence roadmap priorities.

Ensure smooth handover from pre-sale to post-sale implementation and ongoing optimization.

Drive AI Security Implementations

Architect integrations across AI systems, LLM applications, data pipelines, model layers, and runtime environments.

Define best practices for secure AI adoption, governance workflows, and observability frameworks.

Guide customers through architecture decisions, trade-offs, and scalability considerations.

Lead Technical Authority

Act as a trusted advisor to CISOs, security teams, and AI leaders.

Support complex technical escalations and architectural challenges.

Continuously stay ahead of trends in AI security, cloud architecture, and enterprise security frameworks.

Were looking for a Product Lead to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.

You will lead product vision and execution for critical capabilities that help organizations secure their AI systems end-to-end from data flows, to model governance, to AI usage in production. You will be accountable for turning complex customer problems into scalable product solutions, driving alignment across teams, and ensuring measurable customer and business outcomes.

This is a high-visibility, high-impact role with true ownership, where you will partner closely with Engineering, Design, Data, Security, and GTM teams to build a category-defining AI Security platform.



What Youll Do:

Own Product Strategy & Vision (End-to-End)
Define and own the product vision, strategy, and long-term roadmap for core AI security domains.
Make clear prioritization decisions based on customer value, business impact, and technical constraints.
Act as the product owner and decision-maker throughout the entire product lifecycle.
Lead End-to-End Product Execution

Drive products from discovery and ideation through delivery, launch, and iteration.
Write crisp PRDs, use cases, and UX flows that bring clarity to complex technical and security problems.
Work hands-on with engineering and design to ship high-quality features rapidly and iteratively.
Be the Voice of the Customer

Develop deep understanding of enterprise customer workflows, risks, and success metrics.
Lead customer conversations, evaluations, and POCs, and translate insights into product improvements.
Ensure adoption, usability, and value realization post-launch.
Deliver AI Security Outcomes

Lead the development of capabilities across data protection, AI governance, observability, and secure AI operations.
Align product decisions with evolving standards, compliance requirements, and emerging threat models.
Continuously assess product impact and iterate based on usage, feedback, and risk signals.
Drive Cross-Functional Alignment & Go-To-Market

Partner with GTM teams on positioning, packaging, messaging, and enablement.
Communicate roadmap, timelines, and product impact clearly to internal and external stakeholders.
Serve as a connective tissue between R&D, Security, Sales, and Customers.

Were looking for a Senior Product Manager to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.

You will define and drive the roadmap that helps organizations secure their AI systems end-to-end from data flows, to model governance, to AI usage in production. You will translate customer needs into actionable requirements, guide cross-functional execution, and ensure customers realize business value quickly and consistently.

This is a high-visibility, high-impact role where you will partner closely with Engineering, Design, Data, Security, and GTM teams to build a category-defining AI Security platform.



What Youll Do:

Drive Product Strategy & Roadmap
Define and own the product vision, roadmap, and priorities for core AI security workflows.
Translate market insights, customer feedback, and company goals into clear product direction.
Lead End-to-End Product Execution
Write crisp PRDs, use cases, and UX flows that bring clarity to complex technical problems.
Partner with engineering and design to ship features rapidly and iteratively.
Partner with Customers
Work closely with enterprise customers to understand risks, workflows, and success criteria.
Lead evaluations, POCs, and adoption programs to ensure customer value realization.
Enable AI Security Outcomes
Drive the development of capabilities across data protection, AI governance, observability, and secure AI operations.
Align product decisions with emerging standards, compliance requirements, and threat models.
Collaborate with GTM teams on packaging, messaging, and enablement.
Communicate roadmap, timelines, and impact to internal and external stakeholders.

Youll work alongside world-class engineers and security experts to conduct deep technical research, simulate real-world attacks, and create impactful proof-of-concepts (PoCs) that showcase how to protect AI-driven systems. This role is ideal for a hands-on security researcher who thrives on curiosity, creativity, and rigor, someone who wants to shape the future of AI security in a fast-moving product startup.

What Youll Do:

Drive AI Security Research: Investigate vulnerabilities in AI models, agentic platforms, and infrastructure- covering risks like prompt injection, adversarial manipulation, and model abuse.
Build Proof-of-Concepts: Develop technical PoCs that demonstrate real-world security threats and defenses, supporting both product validation and thought leadership.
Research new Prompt injection techniques: Implement novel techniques of adversarial attacks on AI systems in our automated red team module to evaluate resilience and inform customer-focused security offerings.
Track Competitors & Trends: Research the broader ecosystem of AI and cybersecurity to identify competitor capabilities, market shifts, and innovation opportunities.
Collaborate Across Teams: Partner with engineering and product to translate research into practical protections, product features, and marketing content.