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we are looking for a Legal Counsel
What will you be doing?

Handling legal aspects of commercial transactions, including licensing, distribution, cooperation, affiliation, and others (drafting, reviewing, and negotiating a broad range of agreements).
Overseeing corporate compliance in multiple jurisdictions in the group, and supporting day-to-day corporate governance and company secretarial matters.
Interact and work with the group's departments (sales, purchasing, Human Resources, R&D, operations and finance) on diverse legal issues in different jurisdictions.
Collaborate with, advise, and support cross-functional internal and external teams on a wide variety of legal matters relating to the companys day-to-day operations, including compliance and corporate governance in multiple jurisdictions.
Advising on day-to-day employment matters (employment agreements/social benefits) in various jurisdictions.
Partnering with various corporate teams, including supply, global finance, tax, M&A, operations, support, and business functions to implement various international corporate subsidiary projects.
Engaging with external legal counsels.

As the Treasury Manager, you will be responsible for establishing and leading the companys foundational treasury function, with full oversight of cash management, liquidity planning, and foreign exchange activities. In this capacity, you will play a central role in building and advancing treasury capabilities from the ground up, while ensuring the functions roadmap is strategically aligned with and actively supports the companys broader business objectives.

In this role you will:

Focus on operational excellence, developing and maintaining best-in-class treasury processes and controls, and leveraging automated solutions to support growth.
Manage and oversee the company's group cash requirements, including daily liquidity, focusing on improvement opportunities and ensuring proper controls and procedures.
Build, own and manage treasury policies, procedures, systems, and controls for effective cash management, risk mitigation, and regulatory compliance.
Build and maintain strong relationships with banking partners and financial institutions, supporting worldwide banking system administration.
Establish foreign exchange risk policy and implement strategies to manage and mitigate FX exposures.
Produce accurate and timely treasury reports for senior stakeholders, including presentations to executives and the Board of Directors.
Forecast and plan cash flow to ensure cash optimization and the availability of sufficient funds for ongoing operational and capital investment requirements.
Lead strategic initiatives and provide strategic advice and financial analysis to support decision-making across the company.
Support the maintenance of the companys global insurance portfolio.

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.