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We're looking for a Senior Security Engineer to help secure our company's applications, infrastructure, and the agentic systems we're building for the future of insurance.
You'll be part of a small, sharp security team that works horizontally across the entire organization - from AI and application security, to cloud and IT security, and beyond. This isn't a narrow, siloed role. You'll own meaningful domains, drive automation that lets the team scale, and help shape how security works at a company that's genuinely reimagining what insurance can be. The team has built an in-house AI security platform, and you'll build your agents on top of it.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Build and maintain automation systems and AI agents that minimize manual security work and help the team scale
Code internal security tools in TypeScript and/or Python that the team relies on and builds from
Evaluate third-party security tools and vendors, and take ownership of the ones we adopt
Identify new attack vectors and security gaps proactively - before they become problems
Partner with product, cloud, and IT teams on security design as new features and infrastructure take shape
Support security operations across the organization - from triaging alerts and incidents to reviewing code for vulnerabilities, as you grow into the role.

our company's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and IOS apps - with no SDKs, no coding, and no disruption to engineering cycles.
Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, our company's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever - recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on our company to secure over 50,000 mobile apps and protect more than 1 billion end users globally.
we are an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.
?About the Role We are looking for a data Assurance Engineer with strong experience in data validation, automation, analytics testing, and large-scale event pipeline quality.
This role is focused on ensuring the accuracy, stability, and reliability of data across our analytics and security event systems. The ideal candidate will be responsible for building automated validations, investigating data discrepancies, monitoring data quality, and working closely with engineering, data, and product teams.
Responsibilities

* Design, build, and maintain automated validation processes for large-scale event pipelines.
* Validate end-to-end data flows across ingestion, processing, Storage, and dashboard layers.
* Create SQL-based validations to verify event counts, unique devices, metadata accuracy, schema
* consistency, latency, and data freshness.
* Investigate discrepancies between production systems, staging environments, data warehouses, object
*  Storage, and customer-facing dashboards.
* Monitor event volume, data latency, anomalies, spikes, drops, duplicates, and missing data.
* Build and maintain CI/CD validation jobs using tools such as Jenkins or GitLab CI.
* Create clear automated reports, dashboards, and email summaries for validation results.
* Work closely with backend engineers, data engineers, QA teams, and product stakeholders to identify,
* report, and validate fixes for data quality issues.
* Support performance and scalability testing for analytics dashboards, queries, and data pipelines.

We are proud to lead the industry with our innovation, intelligence, and independence as the company best-suited to power the future of advertising.
We're looking for top-notch, passionate Software Engineer to be part of our world-class Engineering team. If you think you can handle a wide range of technologies, pushing code to production several times a day, working on a different part of our product code with every new task you get, and using the best practices in the industry? Please contact us!
You will -
Participate in designing and developing our company products in multiple technologies, no code ownership environment
Design and develop modules for a high-end product that serves billions of transactions a day
Deploy your code to production in a continuous manner
Be responsible for the healthiness of your application in production
Work with product managers to define, prioritize and finalize features
Carry out full-stack, end to end development

Join our Core SDK Team, responsible for building and maintaining the core mobile technology that powers our platform across millions of applications worldwide. The team develops high-performance, reliable, and secure SDK components used by developers globally.

The Core SDK team operates across Android and iOS platforms, with a long-term vision of a unified mobile SDK engineering team. Engineers collaborate across platform boundaries while maintaining deep expertise in their primary mobile ecosystem.

Operating at the intersection of mobile platforms and large-scale distributed systems, the team tackles complex challenges such as performance optimization, platform compatibility across thousands of devices, and maintaining highly reliable code that runs on billions of devices.

As the team evolves, we are also expanding beyond traditional mobile development and scaling engineering capabilities with AI. This includes building and using AI-powered tooling, MCP-based systems, and agent-driven automation to improve developer productivity, testing, and SDK innovation.

Engineers in the team therefore have the opportunity to work not only on mobile platform challenges, but also on emerging areas where mobile infrastructure, AI systems, and developer platforms intersect.

What youll do
Develop and maintain our mobile SDK features used by developers worldwide.
Design and implement reliable and performant SDK components across multiple mobile platforms and operating system versions.
Take ownership of end-to-end quality, including design, implementation, testing, and production reliability.
Debug and resolve complex issues across different devices, OS versions, and runtime environments.
Improve SDK performance, stability, and reliability at scale.
Develop and maintain SDK wrappers and integrations for cross-platform frameworks such as Unity, React Native, Flutter, and other mobile environments.
Work with modern AI-driven engineering tools, automation systems, and internal developer platforms.
Collaborate with engineers across mobile, backend, frontend, and platform teams.
Participate in code reviews and contribute to engineering best practices.

You are the technical owner of our most strategic and enterprise accounts post-sale. Part solutions architect, part relationship lead - you design and implement the integrations, automations, and AI-driven workflows that make our company the backbone of complex, global IT environments. You bridge business requirements and technical reality, and you own the outcome.
What You'll Do
Lead end-to-end project lifecycles - from architecture workshops to deployment - ensuring a white-glove customer experience
Design and implement complex integrations using REST APIs and webhooks with platforms such as ServiceNow, Salesforce, Okta, and Azure
Build AI-driven automation workflows that reduce manual overhead and optimize IT operations at scale
Serve as the primary technical point of contact for all parties, including C-level and VP-level stakeholders
Produce clear architectural diagrams, technical guides, and API documentation
Travel internationally up to 25% and domestically up to 15% for on-site engagements.

we are looking for a Web QA & Automation Engineer for our WordPress-based marketing website. You'll own site quality end-to-end: test plans, manual testing, and automated tests that keep the site fast, stable, and bug-free.
This is a QA-first role, needing strong manual QA skills and an eye for the risks unique to a CMS-driven site (theme/plugin updates, page builders, third-party scripts, SEO). Automation is a core part of the role - you'll use AI-assisted tools and modern frameworks to steadily expand test coverage and reduce manual overhead.
Responsibilities
Act as a quality champion for the marketing website, fostering a strong testing culture and driving best practices across manual and automated QA.
Collaborate with Marketing stakeholders to validate specifications, align on quality expectations, and ensure smooth release cycles.
Own site quality throughout the development lifecycle - from requirements and design validation to implementation, release, and post-launch monitoring.
Serve as the go-to expert on web quality, acting as the key link between Marketing, Web Development, and external stakeholders.
Write test plans and translate them into automated tests where relevant.
Build regression, functional, and end-to-end tests to protect site quality.
Manually test new features, landing pages, and content updates for release readiness.
Test across browsers and devices for a consistent user experience.
Debug flaky tests and keep automated suites healthy.
Track bugs through to resolution.
Check page performance and SEO-critical elements pre-release.
Partner with Marketing and Web Development to define coverage for upcoming changes.

Required Low-Level Developer
As a Low Level Developer, you will:
Play a central role in advancing the features and infrastructures of one of our security products
Lead features, end to end, from concept and design to production
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows
Find and implement creative solutions to technical challenges.

We are now extending our sensing capabilities into the defense and security domain, where robust, cost-effective perception is a decisive advantage for autonomous platforms, surveillance, situational awareness, and force protection.

The Software Tools Infrastructure team is a part of the Software group and acts as the focal point for cross-company tools, such as drivers, web services, visualization, simulation, image processing, data management, and data analysis tools. The team interacts with other teams in the company, including other R&D teams, Product and Operations groups, to provide cutting-edge solutions.

In this position you will:

Design, construct, and implement the customer-facing tools, including SW libraries (drivers) and UIs focusing on UX, including easy installation, documentation, and UI.
Interact with complex, multi-disciplinary systems

The Embedded Software team is responsible for developing multiple firmware and software packages that comprise our products. The team is responsible for the architecture and implementation of advanced elements, adhering to the quality standards of the automotive industry, within a highly complex and interdisciplinary system.

What you'll do

Design, implement and test real-time embedded software for multi-core ASIC devices
Meet the development standards of the Automotive industry for quality, safety and security
Interface with system/software architects, hardware designers, and system/test engineers

We're looking for a hands-on Software Developer to join our R&D team, working on the full pipeline - cameras, video processing, automated production, graphics, and backend infrastructure. If you love low-level systems, real-time challenges, and seeing your code live in actual sports arenas, this is the role for you.

As part of your role, you will:
Develop and maintain high-performance C++ systems across the video pipeline.
Work on real-time video processing, ingest/transcode pipelines, and streaming infrastructure.
Collaborate with the team on backend services written in Python and Go.
Identify and resolve performance bottlenecks in multithreaded, low-latency systems.
Work closely with Product, QA, and DevOps to ship reliable, scalable features.
Leverage AI tools (primarily Claude) as part of your daily development workflow.

Required Software Developer
As a Software Developer, you will:
Be part of our security research team
Design, develop and maintain production-quality software, primarily in Python or similar languages
Translate research findings and prototypes into reliable, scalable and maintainable solutions
Build internal tools and infrastructure that enable and accelerate security research
Collaborate closely with researchers to understand technical domains and implement practical solutions
Own the software lifecycle from design and implementation through deployment and long-term maintenance
Investigate and resolve production issues, leveraging AI-assisted development tools where appropriate.

As the Head of AI Security, you will be the ultimate authority and strategic leader responsible for securing our AI/ML infrastructure, data pipelines, and deployed models, you will bridge the gap between advanced data science and enterprise-grade security. You will design, implement, and oversee security frameworks that protect our proprietary AI technologies, multi-agent systems, and RAG architectures.
Youll Own:
our companys end-to-end AI security strategy across AI/ML infrastructure, data pipelines, LLMs, RAG systems, and autonomous AI agents
Secure-by-design frameworks and security architecture for AI-powered products and platforms
AI threat modeling, adversarial testing, red teaming, and vulnerability management programs
AI governance, internal security policies, and alignment with emerging global AI regulations and standards
Security tooling, automation frameworks, and continuous monitoring capabilities for AI environments
Cross-functional security leadership across Data Science, AI Engineering, Product, Infrastructure, and SecOps teams
Youll Solve:
Protecting AI systems against emerging threats such as prompt injection, model inversion, data poisoning, and training data leakage
Preventing sensitive customer and enterprise data from leaking into training sets or model outputs
Securing complex AI architectures including LLMs, RAG pipelines, and multi-agent systems at scale
Embedding security seamlessly into the ML lifecycle without slowing innovation
Building scalable AI security operations through automation, monitoring, and continuous adversarial testing
Navigating evolving AI governance, compliance, and regulatory requirements across global markets
Youll Impact:
Maintain our companys reputation as a leader in secure and trustworthy enterprise AI
Build the foundation that allows AI innovation to scale safely and responsibly
Strengthen customer trust by protecting highly sensitive conversational and business data
Create resilient AI systems that can withstand real-world attacks and emerging threat vectors
Drive a security-first AI engineering culture across the organization
Shape the future of AI security, governance, and MLSecOps in a hypergrowth AI company.

As an Application Infrastructure Team Lead, youll spearhead the development of the core frameworks and services that power our entire ecosystem. In this role, youll sit at the vital intersection of application development and systems engineering, ensuring our platform remains resilient, high-performing, and developer-friendly as we scale.
If you are a technical heavyweight who loves Java but thrives on leading teams through complex data and infrastructure puzzles, this is your opportunity to build the foundation for our next phase of growth.
Youll Own:
Team leadership & mentorship: Guiding a high-performing engineering team and fostering a culture of ownership and excellence.
Core application infrastructure: Designing and maintaining mission-critical frameworks using Java and Spring Boot.
Technical standards: Defining and enforcing the benchmarks for code quality, system performance, and security across the entire stack.
Streaming & messaging pipelines: Owning the reliability and scalability of asynchronous communication using Kafka or SQS.
Youll Solve:
Data layer optimization: Leading specialists to tackle challenges in high availability and performance across PostgreSQL, MongoDB, OpenSearch, and Redis.
Distributed systems complexity: Designing robust pipelines for asynchronous communication and data streaming at scale.
Architecture gaps: Bridging the gap between DevOps and Product teams to align infrastructure capabilities with evolving business needs.
Youll Impact:
Engineering velocity: Providing the foundational building blocks that empower all product engineering teams to build faster and better.
System reliability: Ensuring the high availability, scalability, and security of mission-critical systems.
Technical culture: Driving a mindset of continuous improvement and technical excellence that resonates across the R&D organization.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our company engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI at our company, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our companys internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our companys broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team at our company to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents at our company will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

Own product features from idea to production.
Build intuitive, high-performance user experiences using Angular.
Collaborate closely with Product, Design, and Backend engineers to shape product direction - not just implement it.
Take ownership of both frontend and backend aspects where needed.
Translate complex technical concepts into simple, elegant user experiences.
Drive technical decisions with scalability, maintainability, and user experience in mind.
Write clean, well-tested, production-ready code.
Review code, mentor teammates, and continuously raise the engineering bar.
Leverage AI-assisted development to accelerate delivery while maintaining high quality.
Continuously improve our products, engineering practices, and development experience.