Engineering Manager, Iam and Trust & Safety

Calendly Calendly · Enterprise · Remote · Engineering

Engineering Manager for Identity & Access Management (IAM) and Trust & Safety (T&S) teams. Responsible for leading teams that build secure, reliable, and intelligent products, including shaping the T&S roadmap with AI, and applying ML/AI to fraud prevention, abuse mitigation, and compliance. Focus on people leadership, technical guidance, and strategic planning for identity and security systems.

What you'd actually do

  1. Recruit, manage, and mentor a diverse team of Identity and Trust & Safety engineers, fostering a culture of collaboration, accountability, and continuous improvement
  2. Provide hands-on mentorship, guidance, and decision-making to help engineering teams deliver effective, high-quality solutions
  3. Own and drive execution on critical initiatives, ensuring timely, high-quality outcomes while promoting incremental delivery and impact
  4. Define and evolve our Identity and Access management capabilities to meet future demands while shaping the Trust & Safety roadmap in alignment with company priorities and emerging threats
  5. Design and implement scalable systems to detect, prevent, and respond to fraud and abuse, leveraging key metrics to measure effectiveness

Skills

Required

  • 5+ years experience as a people leader within a platform engineering organization
  • Domain expertise with customer-facing Identity & Access Management (IAM) And/Or Trust & Safety
  • Strong technical acumen with a deep understanding of design of detection and prevention systems
  • practical understanding of how to apply machine learning and AI to Trust & Safety and/or security problems
  • Deep understanding of distributed systems and cloud computing
  • Experience building, operating, and maintaining high-traffic, high-availability platforms and systems
  • Excellent problem-solving skills
  • Demonstrated ability to drive innovation
  • Strong communication and interpersonal skills
  • Proven leadership capabilities with experience mentoring and guiding engineering teams
  • Ability to adapt to new technologies, changing requirements, and evolving organizational needs

Nice to have

  • AI/ML
  • automation
  • data products

What the JD emphasized

  • strong background in people leadership
  • strong domain experience in these domains
  • technical competency
  • distributed systems experience
  • practical understanding of how to apply machine learning and AI to Trust & Safety and/or security problems

Other signals

  • incorporate AI into engineering practices
  • apply AI/ML, automation, and data products to Identity, Auth and Trust & Safety problems
  • apply machine learning and AI to Trust & Safety and/or security problems