• Lead and mentor the Cyber Engineering team in the UK and Singapore, providing both technical guidance and leadership to support their growth in a dynamic, fast-paced environment. • Report into and work closely with the Head of Labs Engineering to define the future direction of the cyber engineering function aligned with the global strategy, ensuring technical consistency and shared standards. • Act as line manager for the engineers, including performance reviews, career development, and day-to-day coaching. • Design, develop, and maintain the offensive security infrastructure that powers the watchTowr Platform, ensuring it can process vast amounts of data and identify vulnerabilities in enterprise systems at scale. • Collaborate closely with product, front-end, backend, and platform teams to align cyber security initiatives with business goals and ensure seamless integration across functions. • Drive innovation and lead R&D projects that push the limits of offensive security, replicating adversary tactics at scale to uncover vulnerabilities and provide actionable insights.

Role Description Zocdoc's most important asset is our people. As the Team Lead for Trust & Safety Operations, you'll play a central role in protecting the integrity of Zocdoc's marketplace — ensuring that patients, providers, and internal partners can trust how we make and enforce Trust & Safety decisions at scale. - Trust & Safety depends on nuance, fairness, and consistency. - Bridge strategy and frontline execution — ensuring that growth and the responsible adoption of AI never come at the expense of accuracy, accountability, or trust. - Provide the human judgment, coaching, and operational rigor that cannot be fully automated. - Help Zocdoc scale responsibly. This is a fully remote role open to candidates based anywhere in the United States. Qualifications - Experience in Trust & Safety, Operations, Risk, or a similar function where policy enforcement and sound judgment are central to the work. - Demonstrated experience as a team lead, mentor, subject matter expert, or informal leader who has supported others' performance and development. - Fluency with AI-assisted workflows and tools (e.g., ChatGPT, Claude, or similar). - A track record of making thoughtful, risk-informed decisions with incomplete information and documenting your rationale clearly. - Strong written and verbal communication skills — with the ability to translate complex policies into clear, operational guidance. - Comfort with metrics and QA frameworks: reading dashboards, spotting trends, and turning insights into action. - An ownership mindset: proactively surface risks, drive follow-through, and care deeply about the team's outcomes and health. Requirements - Excited and fluent in working alongside AI tools — leveraging automation where it helps and stepping in where human judgment is critical. - Energized by coaching others and raising the bar on quality, not just clearing your own queue. - Comfortable making judgment calls in ambiguous, high-stakes scenarios and clearly explaining the "why" behind your decisions. - Highly organized and motivated by smooth operations, clear expectations, and consistent processes. - Curious about how patterns in cases, metrics, and feedback can surface deeper risks or opportunities for improvement. - Able to balance empathy for team members and users with a clear-eyed view of risk, policy, and marketplace integrity. Benefits - Flexible work environment - Competitive PTO - 100% paid employee health benefit options (including medical, dental, and vision) - 401(k) with employer-funded match - Corporate wellness programs with Wellhub - Sabbatical leave (for employees with 5+ years of service) - Competitive paid parental leave and fertility/family planning reimbursement - Cell phone reimbursement - Employee Resource Groups and ZocClubs to promote shared community and belonging - Great Place to Work Certified - Base salary range for this role is currently $65,000 – $85,000 for remote positions only.

• Write and test modern SuiteScript of all types • Design and implement API integrations and SuiteFlow workflows • Manage relationships and technical requirements with key stakeholders • Take shared operational responsibility for the services owned by your team • Work in a multi-disciplinary environment with agile principles • Mentor others in the technical aspects

• Design, build, and operate AI-powered systems and experiences • Collaborate with cross-functional partners to ship AI features end-to-end • Drive engineering excellence and promote best practices for AI/ML engineering • Identify high-leverage technical opportunities and contribute hands-on to AI-native products