Staff BPM, Platform & Product Engineering

Details

• Operating cadence ownership: Design, run, and evolve core operating cadences for Platform and Product Engineering (e.g., delivery reviews, business reviews, leadership/all-hands inputs, calibration support), ensuring clear agendas, inputs, owners, and follow-ups — including AI-assisted agenda drafting, synthesis, and action tracking where appropriate.
• Lightweight mechanisms: Create repeatable mechanisms to gather updates and unblock decisions without adding unnecessary process.
• Delivery visibility and reporting: Partner with Product Operations, TPMs, and functional leaders to ensure end-to-end delivery status reporting rhythm and artifacts, leveraging AI tools to accelerate rollups, identify gaps, and spot emerging risks/dependencies.
• Executive-ready synthesis: Synthesize cross-team updates into decision-ready narratives that clarify progress, risks, tradeoffs, and decisions needed — using AI tools to draft, summarize, and tighten narratives while applying strong judgment and fact-checking.
• Milestone, dependency, and risk management: Establish and maintain tracking for broader org programs and business initiatives across Platform and Product Engineering (e.g., planning/forecasting cycles, operating cadences, cross-org readiness work, and other non-delivery initiatives), including AI-supported signal detection (e.g., trend spotting, overdue follow-ups, dependency mapping).
• Cross-team alignment: Drive alignment on program milestones, owners, and timelines; surface risks, constraints, and tradeoffs early.
• Escalation paths: Maintain clear escalation paths and decision forums for program-level risks, resourcing constraints, and cross-team dependencies.
• Cross-functional partnership: Partner with Product Ops, Finance, and relevant org partners to support planning/forecasting inputs and consistent reporting.
• Coordination across functions: Coordinate across functions (e.g., Product, Security, IT, Experience Design) when initiatives span multiple teams.
• Continuous improvement: Identify friction and failure modes in the operating system (e.g., late updates, unclear ownership, repeated misalignment) and propose, pilot, and roll out improvements grounded in measurable outcomes and stakeholder feedback.
• AI-enabled operating system improvements: Identify opportunities to responsibly apply AI to reduce overhead and increase clarity (e.g., automated intake/triage, meeting capture and summaries, status rollups, FAQ/knowledge curation), and establish lightweight guidelines for quality, privacy, and traceability.
• 6+ years of experience in program management, business operations, or similar roles in a technology environment.
• Proven ability to run cross-functional operating cadences and planning processes with multiple stakeholders.
• Strong facilitation, stakeholder management, and written communication skills.
• Comfort working in ambiguity and improving systems over time.
• Demonstrated ability to use AI tools to improve speed and quality of synthesis, reporting, and documentation (with appropriate review, validation, and confidentiality practices).
• Experience supporting an engineering organization and partnering closely with Product Operations and TPM
• Experience with portfolio visibility and lightweight reporting to inform tradeoffs and prioritization.
• Experience improving planning and operating rhythms at scale.
• Experience operationalizing AI-enabled workflows (e.g., automated summaries, structured status rollups, knowledge management) in a way that improves outcomes without adding process.