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We are hiring an Engineering Manager to own and grow the Data Science group - the R&D team behind our company's security and safety AI models and the data platform that powers them. You will lead a multidisciplinary team of ML engineers, data scientists, and software engineers who ship real-time inference at scale, automated red-teaming of GenAI systems, and the Databricks/Spark data platform underneath. This is a hands-on people-leadership role: you set technical direction, are accountable for delivery and quality, and you build and grow the team.
What your team owns
The group is responsible for a large Python + Rust + PySpark monorepo (dozens of production services and shared libraries) spanning three connected domains:
1. Content-moderation inference at scale
Real-time, multi-tenant detection across text, image, video, and audio - hate speech, CSAM, nudity, child grooming, extremism, PII, prompt injection, age estimation, and more - served through an in-house ActiveServe framework over NVIDIA Triton and a Rust detection monolith, on latency-sensitive, SLA-bound, customer-facing traffic with per-customer custom models.
2. GenAI safety & red-teaming
Automated red-teaming that attacks customers' LLM applications with a research-driven attack taxonomy and measures attack-success rate, alongside the defensive side - LLM-as-judge escalation to cut false positives and the tooling that authors and refines moderation policies - built on a multi-provider LLM foundation (Bedrock, Anthropic, OpenAI, Gemini, xAI Grok) and forming our company's leading edge into agentic-AI safety.
3. Data platform & MLOps
An end-to-end lakehouse and MLOps stack on Databricks - bronze/silver/gold ingestion, PySpark pipelines, and model training, versioning, and promotion through MLflow / Unity Catalog into Triton serving - with the performance-critical hot paths engineered in Rust (PyO3/maturin) for sub-millisecond, high-QPS matching and detection.
What you'll do
Lead and grow the team - mentor ML engineers, data scientists, and software engineers, and own hiring, onboarding, 1:1s, career development, and performance.
Set direction and deliver - set technical direction and standards, turn company and product goals into a prioritized roadmap, and own the quality, reliability, and delivery of the systems above across parallel workstreams.
Champion excellence and partnership - stay hands-on to review designs and unblock the team, drive engineering excellence (testing, observability, CI/CD, on-call, cost/latency), keep the team at the state of the art in ML, LLMs, and GenAI safety, and partner with Product, Platform, and GenAI-safety stakeholders.
Leadership competencies
People-first: builds trust, grows engineers, and creates a healthy, inclusive, high-ownership culture.
Outcome-oriented: drives clarity, sets priorities, and delivers under ambiguity without micromanaging.
Technical credibility: earns the team's respect through sound judgment on architecture and trade-offs.
Systems thinker: balances short-term delivery against long-term platform health, cost, and tech debt.

we are seeking a highly skilled, resilient, and technical Child Safety Researcher to join our team. In this role, you will be on the front lines of investigating complex online child safety violations, handling sensitive content reviews, and developing technical automations to scale our policy and enforcement operations.
This is a high-impact, multi-faceted position that requires blending deep domain expertise in child safety with hands-on scripting and data engineering skills to transform raw queue data into actionable signals and automated review processes.
Key Responsibilities
Investigate & Evaluate Complex Cases: Review, validate, and adjudicate high-risk, graphic, and sensitive child safety content, navigating nuanced contexts involving legal, medical, or parental scenarios.
Extract Signals & Insights: Analyze review queues, large datasets, and user-generated content to identify new adversarial shifts, unknown unknowns, and critical keywords that inform policy updates.
Build Local Automations & Scripts: Design, write, and maintain scripts and local tools to automate review workflows, generate suggestions, and increase overall queue efficiency.
Policy & Enforcement Collaboration: Translate raw investigation findings into structured intelligence reports and actionable recommendations for client policy frameworks and engineering teams.
Quality & Model Support: Partner with product and AI teams to label golden datasets, support ML-based labeling QA, and improve automated detection models.

We are looking for a Principal AI Security Researcher with deep, hands-on expertise in AI red teaming and AI security to lead and scale RLGyms AI security research efforts.
This is not a traditional cybersecurity leadership role. We need someone who has directly worked on breaking, attacking, testing, and securing AI systems, particularly large language models (LLMs), generative AI applications, and agentic AI systems.
The ideal candidate has significant practical experience designing and executing AI red-team programs, developing adversarial attacks, identifying AI-specific vulnerabilities, building automated red-teaming capabilities, and translating findings into effective guardrails and security protections.
What you'll be doing:
Lead and scale multidisciplinary teams focused on AI red teaming, adversarial testing, and AI security research.
Design and execute sophisticated attacks against LLMs, GenAI applications, and agentic AI systems.
Research attack techniques including prompt injection, jailbreaks, indirect prompt injection, tool abuse, agent manipulation, data leakage, model misuse, and adversarial behavior.
Build and evolve AI red-teaming engines and automated adversarial testing systems, including RLGym.
Building and scaling global AI security teams (red teaming, adversarial research, guardrails engineering) while fostering an innovation-driven security culture.
Overseeing advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems
Defining and implementing AI red-teaming frameworks aligned with OWASP AI Security guidelines, MITRE ATLAS, and NIST AI RMF, and operationalizing automated red-team engines to continuously stress-test models at scale.
Partnering with product and engineering to design and deploy enterprise-ready AI guardrails - including policy enforcement layers, monitoring pipelines, and anomaly detection systems - and championing secure deployment practices for GenAI (including agent orchestration via MCP and A2A workflows).

We are seeking a skilled and experienced InfoSec & SecOps Lead to join our company (Formerly ActiveFence) CISO team. The ideal candidate will be responsible for driving the security initiatives.
Responsibilities:
Maintain holistically security corporate architecture and Hardening, including network, systems, applications. Evaluate and implement security remediations to enhance the organization security posture.
Corporate Security: Oversee security measures, including access control, surveillance, and emergency response planning. Manage relationships with external security vendors related to TPRM and IR.
Experience among others on SSPM/SaaS security, IDP, SIEM/SOC, Including conducting threat modeling exercises to identify potential vulnerabilities and risks where required.
Security Operations: Oversee the day-to-day security operations, including monitoring, incident response, Analyze security logs and alerts to identify & respond to security incidents. Conduct regular security assessments and manage the remediations program. Develop and maintain an effective incident response plan.Conduct post-incident reviews to identify lessons learned and improve future response efforts.
Experience with Vulnerability Management: Identify, prioritize vulnerabilities. Monitor and track vulnerability remediation efforts.
Collaborate with other teams within the organization to ensure the overall security posture is maintained. This may include working with IT, Devops, R&D, G&A to implement security policies and technical security procedures. Including all business units, educate employees on security best practices.
AI Governance: Partner with Business Units to create safe-use guardrails for AI. Conduct security reviews for internal AI implementations, ensuring adherence to frameworks like the OWASP Top 10 for LLMs.
Data Driven Metrics: Develop automated dashboards that track real-time security health, focusing on MTTR and reducing manual "toil" for the Security.

We are looking for a strategic and highly hands-on leader to lead our recruitment team and drive our global hiring efforts. This is a "player-coach" role where you will not only manage the team but actively source and recruit for key positions.you will bridge the gap between business objectives and talent acquisition, ensuring we scale effectively while maintaining a high bar for excellence, positive growth ROI and state- of - the- art innovation in leveraging our hiring processes and experience.
We need a proactive self-starter who is a creative problem solver, highly adaptable, and open to continuous changes in a fast-paced environment. You must possess a strong executive presence, allowing you to effectively partner with senior leadership. You are expected to work quickly and accurately, bringing a highly technical mindset and an excellent understanding of data to drive our recruitment forward.
We work in a hybrid mode!
Key Responsibilities
Actively manage full-cycle recruitment for specialized and niche technical roles, demonstrating a strong hands-on approach to ensure a high-quality candidate experience
Lead and mentor a team of TA & HR Associates, providing professional guidance, performance feedback, and career development support.
Partner with executives and senior hiring managers as a confident, trusted advisor to conduct workforce future planning and align hiring priorities with departmental roadmaps
Develop and execute global recruitment strategies to support rapid organizational growth across multiple regions.
Initiate, implement and optimize AI-driven recruitment tools and automated workflows that best serve our companys hiring needs and its cross - business collaboration with stakeholders.
Drive employer branding initiatives to position the company as a top-tier employer in the global technology market.
Apply your technical data expertise to quickly and accurately analyze recruitment data and KPIs to identify bottlenecks and provide actionable insights to leadership.
Lead the hiring-to-onboarding processes and actionable insights with the team, tying the hiring decisions with an effective and successful onboarding experience in the first 90 days that sets up the new joiners for success long-term.

we are seeking to hire a Technical Fraud Threat Analyst to join the Fraud team. In this role, you will research, evaluate, and analyze fraud detection mechanisms, abuse vectors, and platform vulnerabilities across a wide range of online services.
You will generate strategic insights from diverse intelligence sources, conduct OSINT investigations, and identify emerging fraud tactics and behavioral vulnerabilities. In addition to research and analysis, you will leverage technical tools and infrastructure to support investigations, simulate real-world abuse scenarios, and enable scalable fraud research. Your work will culminate in actionable intelligence and mitigation recommendations for clients.
Key Responsibilities:
Conduct investigations and identify fraud methods across web and mobile platforms (social media, forums, apps, and the dark web).
Design and execute fraud research methodologies, including technical validation of abuse scenarios.
Build, maintain, and operate research environments and technical tooling that support fraud investigations and red team activities.
Analyze large datasets, telemetry, and technical artifacts to uncover patterns and deliver actionable insights.
Develop or leverage automation to improve research workflows and increase operational efficiency.
Monitor third-party websites and channels for malicious activities and fraud risks.
Prepare detailed reports with findings, insights, and actionable recommendations.

we are hiring Intermediate Malware Researchers to analyze and review malware applications. Candidates should have a background in cybersecurity and software development.
The role includes training in malware analysis and detection and provides exposure to various malware threats and techniques. Researchers will combine technical and intelligence findings to reach accurate verdicts and assist in the bulk removal of malicious applications. The position requires adaptability and proactive identification of emerging malware trends.
We are seeking candidates who are willing to learn, can perform effectively under pressure, and maintain high professional standards.

You are the guardian of our source of truth. our company runs on a stack of 25+ interconnected SaaS tools, Salesforce, HubSpot, NetSuite, Workato, Gong, Outreach, IronClad, Okta, and more, and when that stack misfires, every team in the company feels it. Your job is to make sure it doesnt.
But ownership isnt just maintenance. As we scale our GenAI capabilities across the company, the quality of our core systems becomes the foundation everything else is built on. Youll be the one who ensures that when our GenAI Builder, our RevOps team, or our Finance team needs data, its clean, current, and accessible. Youre not a systems administrator. Youre the person who decides alongside with the business opener what the core stack looks like, how it grows, and how to build our agentic layer on top of it.
Youll manage a small team alongside a curated bench of specialized freelancers and subcontractors for deep technical work, and youll be the escalation point when things break. You report directly to the CFO.
What Youll Own
Core Stack Administration
Own the full tech stack: GTM (Salesforce, HubSpot, Outreach, Gong, ZoomInfo, Seismic), Finance (NetSuite, Stripe, Mesh, Opstream, Dokka, Expensify), Operations (JIRA, Notion, IronClad), and Infrastructure (Okta, Workato, Slack, Google Analytics) some of the tools will be co owned with IT
Ensure data integrity, system reliability, user access governance, and documentation across all platforms
Manage vendor relationships, license renewals, and cost optimization across the portfolio.

Key Responsibilities:
Lead Forecasting & Planning: Drive forecasting, budgeting, and scenario analysis, owning the numbers end-to-end and delivering actionable insights to mid- and senior leadership.
Leadership & Cross-Functional Collaboration: Lead cross-functional FP&A initiatives, drive alignment across finance and business teams, and foster a culture of accountability, continuous improvement, and operational excellence.
Leadership & Management: Demonstrated ability to lead and develop FP&A teams, manage priorities across multiple workstreams, and influence cross-functional stakeholders to deliver high-quality financial outcomes in a fast-paced environment.
Build & Automate Workstreams: Identify manual, repetitive FP&A processes and rebuild them, using AI tools, scripts, and automation to make the team faster and leaner.
Pricing Analysis: Conduct deal-level pricing analysis, delivering data-driven recommendations to sales and management.
Sales Commission Management: Own commission calculations, accruals, and payments end-to-end.
Financial Reporting: Prepare reporting packages and board/exec presentations.
Accounting Collaboration: Partner with accounting on close processes, expense recording, and reporting accuracy.

Were looking for an AI Software Engineer to own the RL Gym platform end-to-end: from architecting multi-site web environments that simulate real-world attack surfaces, to optimizing our in-house orchestration harness (AgenticVerse) for high-performance delivery into customer training pipelines.
This is a builder role. Youll lead a small team (including a dedicated web environments engineer), operating with high autonomy, moving fast from concept to working prototype to production system. Youll interact directly with customer engineering teams to understand their infrastructure constraints and deliver environments that meet their scale and reliability requirements.
Why this role
This is one of the few roles in the industry where your code directly influences how the next generation of AI models are trained. Youll be at the center of advancing AI safety, building systems that the worlds top labs depend on to make their models more robust. The work is technically deep, the problem space is genuinely novel, and the field is moving faster than any team can keep up with alone. Theres no playbook. Youll write it.
What youll do:
Platform & performance
Own and evolve AgenticVerse, our in-house orchestration harness that provisions and manages RL environments at scale. Focus on performance: low-latency provisioning, high concurrency, minimal overhead per environment instance
Design and build isolated, reproducible web environments using Firecracker microVMs or Docker containers
Architect multi-site scenarios (3-4 interconnected web applications per task) with rich interactions: drag-and-drop, file uploads, authentication flows, LLM-in-the-loop components
Implement deterministic verifiers that evaluate agent behavior with zero ambiguity
Customer delivery
Work directly with engineering teams at leading AI labs to integrate RL Gym environments into their training and evaluation pipelines
Translate customer specs into working environments, iterating rapidly on feedback
Own the technical relationship: SLAs, API contracts, integration architecture
Adapt environment delivery formats to cus tomer infrastructure (real-time API calls vs. offline batch, managed vs. raw artifacts)
Build customer-facing UIs when needed (dashboards, environment configuration portals, monitoring interfaces)
Rapid prototyping
Take ambiguous problem descriptions and produce working prototypes within days, not weeks
Validate new environment types, interaction patterns, and verifier approaches quickly
Build internal tooling that accelerates scenario authoring and testing.

we are looking for an Android Security Research Team Leader to manage a team of super-talented malware researchers and reverse engineers. Our teams help top-level companies improve their security mechanisms using our insights on the latest malware trends, adversarial shifts, and new techniques. Combining intelligence, sophisticated forensics, and data science helps us catch the most relevant and up-to-date threats and threat actors.
What will you do?
Lead and mentor a team of security researchers across multiple projects
Own long-term malware and security research of a variety of Android frameworks, technologies, and domains
Detect large-scale malware campaigns and help bring their operations down
Review and enhance your team's research reports and code
Collaborate with other teams throughout the organization
This role is a management position with 40% hands-on technical work
Find the bad guys - take them down.

we are seeking to hire a Fraud Threat Analyst to join the Fraud team. In this role, you will be responsible for researching, evaluating, and analyzing fraud detection mechanisms and vulnerabilities across various platforms and solutions.
You will generate strategic insights from diverse intelligence sources, conduct OSINT investigations to identify fraud risks, and monitor online platforms to detect malicious activities. You will also focus on uncovering fraud tactics, behavioral vulnerabilities, and process bypasses while delivering actionable mitigation recommendations to clients.
Key Responsibilities:
Conduct investigations and identify fraud methods across web and mobile platforms (social media, forums, apps, and the darknet).
Analyze large datasets to uncover patterns and deliver actionable insights.
Monitor third-party websites and channels for malicious activities and fraud risks.
Prepare detailed reports with findings, insights, and actionable recommendations.