Highlight reel.
Not a resume. This site is linked from the resume, not the reverse.
Amsterdam.
GTM Planning Lead at Remote since April 2026 — owning the planning surface for a globally distributed go-to-market org.
Previously Principal Program Manager at Meta (2022–2025), running cross-functional CX initiatives across a 21-centre, 7,000-agent, 30+-language advertiser-support operation.
Thirteen years.
Click any role to expand the receipts.
- Apr 2026 — now+GTM Planning LeadRemote · Amsterdam · Go-to-market planning
Owning the planning surface for a globally distributed go-to-market org — capacity, targets, segmentation, mid-cycle re-plans. Fresh start in April 2026.
- 2022 — 2025+Principal Program ManagerMeta · Amsterdam · CX & Sales Strategy
Owned cross-functional CX programs across the global advertiser-support footprint — root-cause work in partnership with Product, Ops, Engineering; KPI architecture for CSAT / FCR / AHT / backlog; the field-team enablement layer behind product rollouts.
- Helped drive 40% YoY sales growth (2022–23) and 33% (2023–24) through CX execution.
- Built data-driven cases that influenced $7M+ in product investment decisions.
- Shipped GenAI capability into production support workflows with a measured 4.7% efficiency lift.
- 2021 — 2022+Global Program ManagerMeta · Dublin
Coordinated six global CX product initiatives with a combined budget around $300M — positioning, messaging, enablement strategy across Product / Engineering / Ops.
- Co-developed SOWs and GTM playbooks that scaled external-supplier capacity by 40% and held 84% retention.
- Designed and shipped an ML-based sentiment analytics product (86% accuracy, 92% recall) that fed product prioritization and escalation calls.
- 2019 — 2020+MBARotterdam School of Management · Erasmus University
Dean's Merit Scholarship · President of the MBA Marketing Club.
- 2013 — 2018+Operations Manager, RiskAmazon · Bangalore & Hyderabad · and two other roles
Five years across risk operations and seller-side programs.
- Scaled a $15M global risk program through new product launches.
- Built customer-segmentation work that improved forecasting accuracy by 60% and delivered $41M in annual savings.
- Drove SE Asia market-research + vendor work worth $3M in annualized savings.
- Earlier reduced revenue-loss exposure by 65% ($13M) through refined risk controls and seller-segmentation logic.
AI-first support, Meta.
One program worth its own paragraph. Co-led the strategy and personally drafted the V1 agentic architecture before refining it with engineering.
Three-stage architecture: Diagnosis (contextual classification using customer history and product signals), Communication (an Agent Model grounded by canonical Routines that prevent hallucinations and control access to internal systems), and Resolution (rules-based decision tools plus an Integrity Actions Platform via API). A Customer Emulation Model generates synthetic training data from real customer behaviour.