לוח משרות דרושים

Required Senior Cloud Security Architect
Position Overview:
As a Cloud Security Architect, you will be responsible for defining and strengthening the security posture of our products and cloud environments. You will lead threat modeling, risk assessments, and the design of secure architectures, while guiding teams in implementing effective security controls and secure development practices. Working closely with developers, engineers, and management, you will ensure security is embedded throughout the product lifecycle and clearly communicate complex concepts across the organization. This role requires strong technical expertise, strategic thinking, and a proactive approach to emerging threats.
Key Responsibilities:
Conduct Threat Modeling and Security Risk Assessment to identify weaknesses in existing security measures and develop strategies to address them.
Design Security Architecture that withstand attacks and ensure the confidentiality, integrity, and availability of the product. This involves establishing secure configurations, access controls, authentication mechanisms, and encryption methodologies.
Implementing Security Controls guiding the integration of secure coding practices, establishing secure development lifecycles, and ensuring adherence to established security standards.
Collaborate with stakeholders including developers, engineers, and management teams. Communicate complex security concepts in a clear and concise manner, ensuring that all parties understand the importance of incorporating security measures into the product development process.
Stay updated with emerging threats and remain vigilant, continuously monitoring emerging threats and vulnerabilities.

As a Wireless Design Verification Engineer, you will be part of a team that is responsible for pre-silicon RTL verification of communication subsystems, SoC sub-systems and chip-level functionality. The activity may focus on block level, sub-system level or chip level, including end-to-end simulations of the entire data/control path. You will interact with DV methodologists, designers and communication systems engineers to develop reusable testbench and verification environment deploying the latest methodology with metric driven verification.
Description
- Own critical block and sub-system verification of wireless SoC projects
- Architect and develop testbenches and environments, by using state-of-the-art verification methodologies
- Define verification plan, create, simulate and debug test scenarios
- Drive regression and coverage analysis to ensure high quality DV
- Collaborate with design and systems engineering teams to review requirements, specifications and architecture, extract features and define DV attribute

Responsibilities
Partner with team leads to deeply understand workflows, challenges, and operational bottlenecks.
Identify opportunities for automation and AI enablement across teams.
Design and implement AI-powered internal tools and systems.
Build and maintain integrations between platforms (CRM, marketing tools, internal systems, etc.)
Develop lightweight applications and automated workflows.
Rapidly prototype solutions and iterate based on real usage.
Drive adoption and ensure solutions are practical and scalable.
Document processes and create repeatable internal standards.

Responsibilities
Design, develop, and maintain full stack features end-to-end-from frontend UI (Angular) through backend services (.NET / Node.js) to database and infrastructure.
Build and iterate on AI-powered product capabilities, including LLM-based coaching, conversation simulations, and intelligent analytics.
Work with LLM orchestration frameworks (e.g., LangGraph, LangChain) and cloud AI services (AWS Bedrock, OpenAI, Anthropic) to design reliable, production-ready AI pipelines.
Collaborate closely with product managers, designers, and backend engineers to translate requirements into high-quality, scalable solutions.
Design and develop responsive, performant frontend experiences using Angular, TypeScript, and modern component libraries.
Own the quality of your work-write tests, conduct code reviews, and continuously improve the codebase.
Evaluate and integrate new technologies, tools, and architectural patterns to keep our stack modern and efficient.
Troubleshoot and resolve complex technical issues across the full stack, including performance bottlenecks and integration challenges.

We are seeking a Senior Backend & Data Engineer to join its SaaS Data Platform team.
This role offers a unique opportunity to design and build large-scale, high-performance data platforms and backend services that power our cloud-based products.
You will own features end to end-from architecture and design through development and production deployment-while working closely with Data Science, Machine Learning, DevOps, and Product teams.
What Youll Do:
Design, develop, and maintain scalable, secure data platforms and backend services on AWS.
Build batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS.
Develop backend components and data-processing workflows in a cloud-native environment.
Optimize performance, reliability, and observability of data pipelines and backend services.
Collaborate with ML, backend, DevOps, and product teams to deliver data-powered solutions.
Drive best practices, code quality, and technical excellence within the team.
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing).
Tech Stack:
AWS Services: S3, Lambda, Glue, Step Functions, Kinesis, Athena, EMR, Airflow, Iceberg, EKS, SNS/SQS, EventBridge
Languages: Python (Node.js/TypeScript a plus)
Data & Processing: batch & streaming pipelines, distributed computing, serverless architectures, big data workflows
Tooling: CI/CD, GitHub, IaC (Terraform/CDK/SAM), containerized environments, Kubernetes
Observability: CloudWatch, Splunk, Grafana, Datadog
Key Responsibilities:
Design, develop, and maintain scalable, secure backend services and data platforms on AWS
Build and operate batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS
Develop backend components and data processing workflows in a cloud-native environment
Optimize performance, reliability, and observability of data pipelines and backend services
Collaborate with ML, backend, DevOps, and product teams to deliver data-driven solutions
Lead best practices in code quality, architecture, and technical excellence
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing).

We are looking for a Senior SW, full-stack Developer
To lead technical efforts and develop core components of our platform
Take part it architectural decisions and implementations.

Required Security Researcher
Position Overview:
Join our Forensic Research Group and take part in uncovering hidden data across mobile applications and cloud ecosystems. The team identifies, analyzes, and extracts forensic artifacts from mobile apps, APIs, cloud services, and raw binary data.
Research areas include protocol analysis, data extraction, file format reverse engineering, and decryption. The team specializes in black-box reverse engineering and advanced mobile analysis across Android and iOS.
You will investigate how mobile applications interact with cloud services and APIs, uncover hidden data flows, and extract forensic artifacts. Your work will include analyzing network traffic, reverse engineering API communication, and understanding data exchange between mobile apps and backend systems. You will conduct research across mobile platforms and cloud environments, reverse engineer protocols and data formats, and develop production-grade code in C# and Python to support large-scale data extraction and analysis, while maintaining internal parsers and research infrastructure.

we are looking for a AI Architect.
Responsibilities
1. AI Architecture & Technical Leadership
Guide AI architectural direction across platform, focusing on system design, model lifecycle, and integration of AI components into product workflows.
Act as a senior technical reviewer and thought partner for complex or cross-team AI design decisions.
Provide technical oversight on areas such as exploring new models/technologies/opportunities for the company
Surface architectural risks, tradeoffs, and long-term implications, including cost, security and compliance aspects and clearly advise the VP of AI when certain technical directions should not be pursued.
This role influences judgment, clarity, and experience, not through blocking authority.
2. Hands-on Applied Innovation (Core Pillar | ~50%)
Spend at least 50% of time hands-on, building:
End-to-end AI prototypes
Technical demos and proofs of concept
Exploratory implementations of new AI capabilities
Drive applied innovation that:
De-risks new technologies
Demonstrates feasibility and impact
Informs product direction and business opportunities
Build fast, concrete examples that teams can learn from and extend.
Transition successful prototypes to team ownership for further development and scaling.
This role is expected to lead AI innovation by doing, while working closely with product, medical and engineering
3. Best Practices & Technical Enablement
Define and promote best practices for applied AI development, including:
Rapid prototyping and vibe coding.
Agent design, orchestration, and evaluation patterns
Experimentation, benchmarking, and validation workflows
Help teams align on shared technical patterns, tools, and standards.
Identify opportunities to consolidate duplicated efforts and improve cross-team coherence.
Lead technical deep dives, architecture discussions, and design reviews.
4. AI Compliance & Regulatory Enablement (Technical Scope)
Ensure AI development practices align with applicable AI regulations for a software product handling sensitive medical data.
Define and guide AI-specific compliance practices, including data usage, transparency, evaluation, and documentation expectations.
Support and contribute to AI-related compliance and regulatory documentation, in close collaboration with Legal, Security, and Medical Research teams.
Serve as a technical point of reference for AI compliance questions.

We're looking for a Technical Account Manager to join our growing team and serve as trusted advisors to our customers. As a TAM, youll play a critical role in driving customer success by combining your technical expertise with your passion for customer engagement. Youll guide customers through onboarding, help them maximize value from our platform, and ensure their long-term satisfaction and retention.
While the primary focus of this role is post-sales, you will also support pre-sales activities, partnering with the sales team on technical deep-dives, product demonstrations, and proof-of-value engagements to help win new business.
Responsibilities
Build strong relationships with customers and become their primary point of contact for technical matters
Own the post-sales technical relationship, ensuring successful onboarding, implementation, and ongoing usage
Provide technical guidance, conduct training sessions, and lead workshops to help customers get the most out of our platform
Deeply understand customer architecture and workflows, offering proactive recommendations and best practices
Act as the voice of the customer internally, working closely with Product, Engineering, and Support teams
Monitor account health, identify risks, and proactively drive resolutions
Partner with the sales team on technical evaluations, product demonstrations, and proof-of-value engagements
Serve as a technical resource during prospect meetings, addressing architecture and security questions
Help craft tailored proposals and technical solutions that align with prospect requirements.

We are looking for an experienced and motivated R&D Team Leader to join our engineering organization.
This role combines hands-on technical leadership with team management responsibilities, leading the development of a complex and scalable solution.
The ideal candidate will guide the team in building high-quality products while driving architectural decisions and ensuring strong engineering practices.
If you are passionate about technology, excited about AI innovation, and thrive in a proactive, ownership-driven environment - wed love to meet you.
Responsibilities:
People Leadership & Team Development:
Lead hiring processes and build a strong, high-performing team.
Provide regular feedback to team and conduct 1:1 meetings to support professional growth, especially of junior team members.
Facilitate and lead team rituals to foster collaboration, alignment, and continuous improvement.
Technical Leadership & Execution:
Demonstrate proficiency in the teams technologies and guide technical direction.
Own the delivery of high-quality solutions, reviewing code and designs, while remaining fully hands-on.
Drive sprint planning and execution, ensuring timely delivery of features with high quality and low defect rates.
Identify, communicate, and escalate risks and blockers to maintain progress.
Product & Collaboration:
Understand the product and user domain, ensuring team work aligns with product goals and customer needs.
Work closely with Product Managers, designers, and QA to ensure alignment and smooth development.
Communicate updates and progress transparently to stakeholders.
Adjust team priorities and plans in response to changing circumstances and constraints.
Innovation & Continuous Improvement:
Encourage the team to experiment and try new approaches to solving problems.
Explore and promote the use of generative AI tools (e.g., Copilot, ChatGPT) to enhance coding, documentation, and daily workflows.
Make data-informed decisions, balancing priorities, technical constraints, and business needs.

We are looking for a strategic product leader to head Data Platform domain - a core area of our offering. This role is critical to the companys growth, driving both short-term impact and long-term vision for managing and leveraging massive amounts of structured and unstructured clinical data. In this role, you will lead the product strategy and execution for the domain, while guiding and mentoring product managers within the team. You will work closely with Engineering, Data Science, Clinical Experts, the rest of the Product group, as well as partners and strategic customers, shaping how our platform operates and scales to meet the needs of our growing business.
Responsibilities:
Define and drive the roadmap for Data Platform, balancing short-term business needs with long-term scalability and platform strategy.
Own the product vision for data ingestion, processing, and access, ensuring the platform supports all product groups and business initiatives.
Lead and mentor a team of product managers, fostering growth, collaboration, and a culture of ownership and impact.
Support your team in translating complex technical and data requirements into clear product specifications, prioritizing initiatives that maximize business impact.
Partner closely with Engineering, Data Science, Clinical Experts, Customer Success, the entire PM group, and external partners and strategic clients, to design and prioritize initiatives, ensuring data quality, performance, and usability.
Drive cross-team technical initiatives end-to-end, coordinating dependencies and aligning stakeholders across the organization.
Establish key metrics to measure platform performance, adoption, and impact on product outcomes.

We are a well-funded cybersecurity startup backed by top-tier VCs. Our mission is to solve some of the most challenging problems in the security of software- how to make AI-first organizations release applications fast and not be bothered by security, leveraging AI agents to create secure code and fix vulnerabilities.
We are in a fast-growing, new space and looking to lead this new era of application security where AI write code.
The Role
We are looking for an experienced Development Team Lead to lead a team of talented engineers building core components of our platform.
This is a hands-on leadership role combining technical ownership, people management, and architectural decision-making. You will lead a team of engineers, drive execution of complex projects, and help scale both the technology and the team.
Responsibilities
Lead and mentor a team of software engineers, fostering technical excellence and ownership
Drive the design, architecture, and development of scalable cloud-native services
Collaborate with product, security, and platform teams to deliver high-impact features
Maintain high engineering standards including code quality, testing, and system reliability
Take an active role in hands-on development and technical problem solving
Support team growth through mentoring, feedback, and hiring.

Required Full Stack GenAI Engineer
Position Overview:
We are assembling a small-scale team of innovators committed to a transformative mission: advancing generative AI from conceptual breakthrough to tangible product reality. As a Senior Full Stack GenAI Engineer, you will be a critical architect of the technological infrastructure that brings our most ambitious GenAI concepts to life, transforming our digital intelligence solutions through cutting-edge AI innovation.
What youll love about your mission:
You are more than a developer, you are an innovation catalyst who will:
Transform abstract GenAI concepts into tangible, functional web applications
Design and develop flexible, scalable platforms that can rapidly prototype AI-driven solutions
Create intuitive interfaces that showcase the transformative potential of our AI technologies
Build the technological bridge between complex AI research and user-friendly product experiences
Experiment fearlessly with emerging technologies to push the boundaries of what's possible
What sets this role apart: Innovation at the Intersection of Technology
You'll be working at the forefront of GenAI product development
Every line of code you write has the potential to unlock a breakthrough GenAI solution
Your technical expertise will directly impact the future of digital intelligence technologies
Exploration and Innovation
Develop adaptive web architectures that can quickly integrate new GenAI capabilities
Experiment with cutting-edge frontend and backend technologies
Create flexible systems that can evolve with rapidly changing GenAI technologies
Collaborate closely with AI/GenAI researchers to translate complex concepts into user-friendly interfaces.

We're currently seeking a Data Research Team Lead to join our Data Research Group and help proactively drive product growth and performance through the provision of strategic product insights and deep expertise with analytical tools and techniques. You will work closely with product managers, medical analysts, and the engineering team and bring your expert analytical ability to provide key product insights, identify improvement opportunities, and drive data-informed product initiatives forward.
Responsibilities:
Lead and mentor a team of product analysts embedded across product squads, driving high-impact analytics and professional growth.
Own and shape the companys product KPI framework, driving clarity, alignment, and real-time visibility across the organization to ensure every decision is grounded in impact.
Act as a strategic thought partner to Product leadership and executive stakeholders, to translate business strategy into measurable outcomes and data-driven roadmap decisions.
Drive structured analysis around feature development, product performance, and long-term optimization.
Own and oversee analytical data pipelines, ETL processes, and BI development within the team, ensuring scalable, reliable, and well-governed data assets.

Were looking for a business-driven Financial Business Analyst to join our strategic FB&A team and help drive the next phase of growth. This role is a unique mix of hands-on financial modeling, business partnering with Sales, and strategic market analysis. Youll take ownership of EMEA region, modeling OPEX and workforce costs, while also supporting broader strategic initiatives including Top-line, Special deals revenue\ARR & forecasting.
Key Responsibilities:
Build and maintain dynamic financial models to support strategic decision-making, including revenue forecasting, cost projections, and profitability analysis.
Conduct P&L for special deals and integration of relevant stakeholders.
Act as the FB&A partner to Sales EMEA leadership - covering budgets, quarterly forecasts, headcount planning, and actual vs. forecast analysis.
Collaborate with cross-functional teams including Operation, BI, R&D, Marketing, and procurement to support decision-making with data-driven insights.