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Required Staff Data Scientist
Job Description
As a Staff Data Scientist, youll play a highly embedded and influential role within our Data Science organisation, partnering closely with Development and Product teams across multiple products within ITOM. Rather than simply responding to predefined requirements, youll bring your own creativity, domain expertise, and ideas to identify opportunities, challenge assumptions, and solve complex problems using real customer data.
What you get to do in this role:
Lead the development and evolution of advanced data science and machine learning capabilities, including noise reduction, anomaly detection, root cause analysis, and new AI-powered product features.
Own complex data science problems end-to-end, from problem definition and ideation through experimentation, model development, evaluation, productionization, and deployment.
Develop advanced algorithms and models using techniques such as machine learning, deep learning, NLP, anomaly detection, and statistical modeling.
Partner closely with Product, Engineering, Quality, and Architects to translate product requirements into scalable, reliable ML solutions.
Drive technical direction and mentor other data scientists, contributing to best practices in modeling, experimentation, evaluation, and ML engineering.
Stay current with advances in AI/ML and identify opportunities to apply emerging technologies to our products.

Required Staff Software Engineer - Product Security
Job Description
Our Product Security organisation is building a dedicated Security R&D function - a software engineering team that builds security capabilities with the same engineering rigour as our product organisation. We are looking for a Staff Security Engineer to be a core contributor on this team.
Security R&D operates in two complementary modes: open contribution to product engineering - writing code alongside product teams where security expertise adds value - and developing its own security capabilities, including internal tooling, externally facing product features, AI-powered security automation, and third-party integrations.
This is a new team being stood up in Petah Tikva, Israel, co-located with our AI Security Research team. You will help shape the teams engineering practices and technical foundation from day one.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do:
Build Security Capabilities:
Design and develop security tooling, automation, and platform services that operate at our enterprise scale.
Contribute code directly into our product engineering codebases, embedding security capabilities where they have the highest impact.
Build AI-powered security automation by integrating in-house models and third-party services into production workflows.
Leverage our platform - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to create security capabilities that external vendors cannot match.
Collaborate Across Teams:
Work closely with the AI Security Research team on tooling for AI agent security, translating research insights into production-grade engineering.
Partner with product engineering teams during open contribution engagements, earning trust through code quality, reliability, and delivery.
Participate in design reviews, code reviews, and architecture discussions, contributing to the teams technical standards and engineering culture.
Grow with the Team:
Help define engineering best practices as a founding member of the Security R&D team.
Contribute to hiring and onboarding as the team scales, helping maintain the engineering bar.
Stay current on emerging AI/ML technologies and security threats, bringing new ideas into the teams roadmap.
What Makes This Role Unique
Builder-led culture: Security R&D is defined by engineering output, not advisory reviews. We build production security capabilities with the same discipline as product engineering.
Dual operating model: The team both contributes directly to product engineering and develops its own security products and services.
Platform advantage: we own the entire stack - runtime, ACLs, data layer, workflow engine. You will build security capabilities that no external vendor can replicate.
Founding team: This is a new team being built from scratch. You will shape its engineering culture, technical standards, and identity from day one.
AI intersection: The role sits alongside the AI Security Research team, placing you at the frontier of securing AI systems at enterprise scale.

We're looking for an exceptional, hands-on technical leader to join our core engineering team as a true force multiplier and technological anchor for the company. You'll have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team, operating with a high degree of autonomy in an ambiguous, fast-moving environment.
What You'll Do:
Drive strategic initiatives: lead complex technical projects, AI feature developments, and core architectural components with an ownership mindset.
Architect for AI & data at scale: design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data.
Bridge product, AI & tech: collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems.
Promote engineering excellence: establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams.
Mentor & guide: act as a technical mentor to fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation.

We're looking for an exceptional, hands-on leader-engineer to join our core engineering team as a true force multiplier and technological anchor for the company. You'll have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team, operating with a high degree of autonomy in an ambiguous, fast-moving environment.
What You'll Do:
Drive strategic initiatives: lead complex technical projects, AI feature developments, and core architectural components with an ownership mindset.
Architect for AI & data at scale: design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data.
Bridge product, AI & tech: collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems.
Promote engineering excellence: establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams.
Mentor & guide: act as a technical mentor to fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation.

We're looking for an AI researcher to take an integral part in research into how these models behave, how they should be evaluated, and how they can be deployed and used more efficiently across real engineering workloads.
This is a deeply technical research role with direct product impact.
You'll study frontier and open-source models, develop evaluation frameworks, investigate inference and model optimization techniques, explore local deployment strategies, and help answer questions such as:
Which model should handle a particular task?
How much capability do we lose when we quantize it?
Can a smaller local model replace a frontier API for a specific workload?
How should models be routed across latency, cost, privacy, and quality constraints?
How do we measure whether one model is actually better than another for agentic software engineering?
Your work will directly shape model strategy and the intelligence behind our AI infrastructure products.

we are looking for a Senior Software Engineer - Endpoint.
What You'll Do:
Own the installation and enrollment mechanics, the CLI flows, MDM scripts, and platform-specific packaging (Windows msi/exe, macOS pkg, Linux deb/rpm) that put TokenShift on developer machines at fleet scale.
Instrument and monitor endpoint behavior through the telemetry pipeline, using signals to improve coverage and catch regressions.
Build and maintain a robust lab enabling automatic research and development of new capabilities and platforms by AI agents.
Build and maintain agent harnesses, the per-agent adapters that hook into Claude Code, Cursor, Copilot CLI, Codex, and future agents to route network and shell commands through the TokenShift proxy.
Develop and extend compression rules and strategies for new command types (git, build tools, infra CLIs, search, and more), ensuring token reduction never comes at the cost of semantic accuracy.
Maintain correctness and resilience of the proxy layer, compression must be reversible on demand, hooks must never block a developer's command, and failures must be silent and transparent.
Collaborate with the research team to translate newly supported agent architectures into production-grade harnesses.

We're looking for a Senior Product Manager to own TokenShift, PointFive's product for finding and cutting wasted AI token spend. This is a chance to define product strategy for a brand-new category, working hands-on with R&D on how AI agents and LLM models actually run, get monitored, and get paid for in production. You'll take TokenShift from early adoption to a core pillar of PointFive's platform, alongside our flagship DeepWaste product.
What You'll Do:
Own the product strategy and roadmap for TokenShift, from discovery through GA and beyond.
Translate a deep technical understanding of how AI agents and LLM workloads run, inference calls, endpoints, agent harnesses and orchestration, into requirements R&D can build against.
Partner with R&D, design, and data science to scope, prioritize, and ship features that surface and reduce AI token waste.
Work directly with enterprise customers and prospects to understand how they deploy AI agents in production and where their cost and visibility gaps are.
Define and track success metrics, adoption, cost savings, detection accuracy, and use them to drive roadmap decisions.
Collaborate with go-to-market teams on positioning, messaging, and launch plans for new capabilities.
Stay current on the landscape: coding agents and harnesses, LLM gateways and routers, AI observability, and endpoint management.
Represent the voice of the customer internally, balancing technical depth with business impact.

We are looking for a Generative AI Engineer to lead our AI efforts end-to-end - from infrastructure and production systems to internal adoption and cross-team enablement.
You will play a significant role in building the world's first Consumer Therapy AI Product (someone said RAG? But we mean a real one that works in production...).
This is a critical role in a high-growth, fast-paced B2C startup, requiring a leader who can advocate for Engineering requirements, tech-debt and best practices while promoting a product-mindset and putting our customers front and center.

we are looking for a Full-Stack Engineer.
Own features end-to-end across our FastAPI + React/TypeScript stack - the catalog, the seller wizard, payments, admin tooling, and the infrastructure layer we're building next.
What you'll do
Design, build, test, and deploy features across the frontend (React + TypeScript) and the backend (FastAPI + PostgreSQL).
Work on what buyers and sellers touch every day - the catalog, the listing wizard, checkout, the seller dashboard, admin tools.
Help build the next phase: hosting and running sellers' apps on our own infrastructure.
Keep the bar high - tests, code review, security-minded by default.

a leading global financial news and data platform, is looking for a Full-Stack Developer to join our R&D team.
As a Full-Stack Developer, you will design and build high-scale web applications used by millions of users worldwide.
You will take ownership of complex features end-to-end, contribute to system design decisions, and play a key role in driving AI innovation across engineering.
We are looking for someone who not only builds great software but also proactively identifies opportunities where AI can solve real business and engineering challenges, defines the right approach, and delivers practical solutions that create impact.

we arelooking for a Senior Backend Developer to join our R&D team.
As a Senior Backend Developer, you will design and build the backend systems behind AI-powered products that automate complex workflows and support intelligent, autonomous processes.
You will play a key role in building agentic and multi-agent systems, designing the architecture and infrastructure that enable AI agents to work autonomously, while taking ownership of complex technical challenges from design through production.

Our R&D team is seeking a Backend Developer to help construct and expand our core financial platform.
In this role, you will collaborate with a talented team to optimize high-impact transactional systems-covering client billing for captured savings, invoice creation and collection, as well as payment reconciliation and processing.

We are seeking a Data Analyst to drive data-informed decision-making and unlock insights that directly fuel our growth. Your mission will be to ensure smooth operations, optimize processes, and maximize efficiency across the organization. As our Data Analyst, you will work with large-scale datasets to identify trends and generate strategic insights. You will collaborate with cross-company teams to ensure the smooth maintenance and daily operations of our flagship product, while driving business analysis and identifying growth opportunities.
Every team member is a versatile contributor, shaping the product from user experience to development, and you will play the same integral role. We value passion for building products end-to-end, across UX, design, testing, and deployment, while always keeping the user experience at the center.
Responsibilities:
Analyze data in our flagship product to uncover trends and deliver actionable insights.
Build and maintain BI dashboards and reports for decision-making.
Design efficient processes and standards for streamlined operations.
Translate business questions into clear, measurable analyses.
Ensure data quality through risk evaluation and QA practices.
Monitor operational performance and recommend improvements.
Integrate and manage data structures to support growth and scalability.