Draft and send personalized developer communications — not canned responses — reflecting each developer's compliance history, app type, and ecosystem context.
Ensure pre-defined quality key performance indicators (KPIs) and SLA are met.
Review output and quality of AI agent Tier 1 work (sending reminders, answering low complexity questions, providing education) and focus SME attention on Tier 2 work (human touch support for developers, debugging, and troubleshooting of more complex issues).
Monitor the full assessment lifecycle for assigned BoB accounts: proactively identify upcoming deadlines, ensure developers are notified and prepared, and provide cyclical support through to resolution.
Interpret reviewer feedback and provide clear, actionable guidance to developers; escalate unclear or inconsistent feedback and follow through to resolution.
Maintain accurate compliance records in the Outreach Tracker and other designated tools, monitoring outreach dates, submission status, RFI and violation details, and key partner contacts.
Guide developers in navigating developer-facing tools, dashboards, and devkits, including helping them locate privacy requirements, understand submission workflows, request extensions, and report bugs on their behalf.
Conduct 1:1 Zoom calls with developers at the discretion of the overseeing FTE, covering program introductions, check-ins during active assessment cycles, and guidance on complex compliance situations.
Escalate cases that exceed scope with a clear summary of the issue, steps taken, and relevant developer context. AI Readiness Candidates should be comfortable with, and preferably have experience with:
Use AI assistants and internal tools to ◦ (i) prioritize, investigate, and debug issues efficiently, escalate to specialists, when necessary, ◦ (ii) monitor and improve daily efficiency and drafting quality (including basic debugging), and ◦ (iii) flag workflow gaps and contribute feedback to support ongoing AI/automation improvements.
Participate in quality review cycles and retrospectives; flag missing or unclear SOPs and engage constructively with performance feedback and coaching.
Efficient with cognitive load balancing and alternating between manual (human) work and managing one or more AI workstreams/agents, while prioritizing the developer’s success.
Key skills & knowledge:
2–4 years of experience in privacy/compliance, developer support, or customer support
Working knowledge of privacy review frameworks (e.g., data use policies, data protection agreements, privacy assessments)
Exceptional written English; ability to draft clear, accurate, and empathetic developer communications
High degree of accuracy in tracking, documentation, and policy interpretation
Ability to navigate complex internal tools and dashboards; comfort using AI assistants daily
Ability to independently assess case complexity and determine the appropriate escalation path
Ability to work cross-functionally with internal stakeholders
Experience with AI tools
Preferred skills:
CIPP (Certified Information Privacy Professional), CIPM (Certified Information Privacy Manager), or OneTrust Privacy certification; or willingness to obtain within 6 months after starting Background in (para)legal work or legal operations
Experience with developer-facing or partner-facing communications in a tech environment
Familiarity with CRM platforms (e.g., Salesforce) and productivity tools (e.g., Google Drive, Google Chat)