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we are looking for a MLOps Team Lead.
As an MLOps Team Leader , you will own our AI infrastructure and backend engineering efforts, leading a team at the intersection of systems design and machine learning to build the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features.
What Youll Be Doing:
Lead MLOps Engineering: Own the roadmap and execution for a team of backend and AI infrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.
Build Production AI Systems: Design and implement production-grade, end-to-end AI solutions, including agentic workflows, that integrate Deep Learning models and Computer Vision algorithms into real features. Own the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Architect Data Platforms: Drive the design and implementation of scalable data platforms and pipelines that power AI capabilities reliably and with an eye on cost and scale.
Cross-functional Collaboration: Work closely with the Algorithms and Data teams to tackle complex, real-world problems, translating research into shippable, maintainable systems.
Elevate Engineering Standards: Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.
Who You Are:

We're looking for a Scrum Master to implement and refine Scrum methodologies across our R&D organization, keeping teams focused, synchronized, and empowered to deliver. This role sits at the intersection of process and delivery - going beyond facilitation to continuously improve ways of working and promote predictable, sustainable delivery.
What Youll Be Doing -
Scrum Implementation: Lead the continuous refinement of Agile ceremonies (Sprint Planning, Daily Stand-ups, Retrospectives) across multiple cross-functional teams.
Transparency & Delivery Management: Promote clear and transparent communication of progress, risks, blockers, and delivery forecasts. Work closely with Product and Engineering to ensure alignment and effective information flow across stakeholders.
Dependency Management: Coordinate across Mobile, Backend, FW, QA, and AI teams to manage cross-functional dependencies, ensuring smooth hand-offs and high-frequency release success.
Roadmap & Quarterly Planning: Support the creation and maintenance of high-level roadmaps aligned with quarterly planning commitments. Ensure alignment between technical execution and business objectives.
Jira Management: Own and evolve the Jira environment by designing efficient workflows, automations, and reporting capabilities that support scalable R&D operations.
AI & Automation: Identify and implement AI-driven solutions to reduce manual effort and optimize team efficiency.
Drive Operational Excellence: Define, track, and communicate KPIs to drive continuous improvement in productivity and efficiency.

We're looking for an AI Security Researcher to join us and uncover emerging AI threats, derive detection logic, discover new attack vectors, conduct red teaming, and identify insider threats and misconfigurations.
What You'll Do:
Deep-dive into AI usage risks, including threat detection for chat platforms and AI agents.
Research emerging agent threats and LLM attacks, such as jailbreaks and prompt injection.
Conduct red teaming and large-scale experiments on AI agents, including quantitative experimentation and advanced result analysis.
Assess internal and externally-facing AI agents for security posture and risk exposure.
Evaluate and attack real-time defenses and runtime protections for AI applications.
Conduct research across cloud, web, and API security to uncover novel threats and attack vectors relevant to AI systems.
Partner with product and engineering teams to turn research findings into detection logic, guardrails, or product features.
Stay current on and contribute to industry frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS) - potentially contributing back to the community.
Publish blog posts, give talks, and represent research at conferences.

We're looking for a sharp, strategic Product Marketing Manager to own the voice in the market. This is a high-impact, cross-functional role at the intersection of product, sales, and go-to-market at a moment when the security landscape is being reshaped by AI.
You'll translate complex capabilities from SaaS posture management to agentic AI security and non-human identity governance into narratives that resonate with security leaders. You'll build competitive programs that arm the field, shape how analysts and buyers understand emerging AI risk categories, and partner with Product and Engineering to ensure the market perspective drives what we build.
You'll be the connective tissue between what does and why it matters to buyers, to practitioners, to analysts, and to our own teams.

We are looking for a Product Manager with a strong cybersecurity background and proven experience building AI-powered products. You will own product strategy and execution end-to-end, working closely with Engineering, Security Research, and GTM teams to deliver innovative solutions that help customers secure their SaaS and AI environments.
Responsibilities
Lead the product lifecycle from strategy and roadmap to delivery and launch.
Define and drive AI-powered product capabilities and user experiences.
Collaborate closely with Engineering, Security Research, and GTM teams.
Work directly with customers to validate product direction and prioritize opportunities.
Define and monitor KPIs to measure product success and drive continuous improvement.
Translate complex security and AI challenges into scalable product solutions.

we are looking for a Engineering Team Lead.
Responsibilities:
Lead, mentor, and grow a cross-functional team of backend, frontend, and research engineers.
Act as a hands-on technical leader: design critical systems, write production code when needed, and set a high engineering bar.
Own backend systems end-to-end, from architecture and design through implementation and production delivery.
Drive technical direction and architectural decisions for large-scale cybersecurity platforms.
Lead the delivery of complex LLM- and agent-based solutions to production, ensuring they meet enterprise standards for reliability, scalability, security, and observability.
Partner closely with Product, Research, and Client Services to translate complex technical challenges into clear, high-impact product capabilities.
Ensure backend systems are built with a strong emphasis on security, correctness, and long-term maintainability.
Review code, guide design decisions, and promote best practices across the team.
Foster a culture of ownership, collaboration, and continuous improvement.