Ireland
I build products that scale—and the teams that build them. Over 15 years, I've led AI/ML/Data products through every growth stage, from founding startups to managing platforms serving hundreds of millions of users. My approach combines technical depth with business acumen, translating complex capabilities into measurable outcomes. Key achievements: - Scaled YouTube's creator access 5X (50M → 250M users), generating $1B+ revenue impact - Reduced operational costs by $200M through strategic AI/ML automation - Enabled 9-figure ARR growth at Workday through platform architecture transformation - Built and led teams of 45+ across multiple geographies My expertise—where I add most value: - Infrastructure & Platform Products: Distributed systems (Spark, Kubernetes), public cloud architecture, autoscaling and cost optimization at scale - AI/ML Products: Feature engineering, serving infrastructure, personalization and recommendation systems - Data & Analytics: Query processing, batch workflows, pricing strategy for database/reporting products - Scale Stage: Specializing in 10-to-100 growth—taking established products through their next order of magnitude Recruiters: Reach out if you're scaling infrastructure 10X, building AI/ML products that require both deep technical and product thinking, or optimizing platforms where cost reduction directly unlocks business value. Currently leading SRE & Distributed Systems at Workday. Previously at YouTube building ML systems for creator access and platform integrity.
Currently building MongoDB Atlas data platform products focused on intelligent data tiering, lifecycle management, and federated querying across cloud storage. Products I handle: Online Archive, Cold Collections and Atlas Data Federation product.
Role: Product Lead - Distributed Systems, SRE and Data Platform (Workday Data Cloud) Own platform and product strategy for large-scale data processing, reliability, and operational intelligence underpinning Workday’s enterprise analytics and data products, supporting nine-figure ARR businesses and positioning the platform for 30%+ growth through next-generation data cloud initiatives. Set multi-year product vision for cloud-native data and reliability platforms, enabling enterprise customers to extract business-critical insights at scale and supporting ARR growth from of 30% - Partnered with central strategy, finance, and GTM teams to refine product pricing and packaging, contributing to the evolution of Workday’s Flex Credits–based enterprise consumption model - Shaped next-generation product strategy for Workday Data Cloud, outlining a ~35% growth trajectory through ecosystem partnerships with Snowflake, Databricks, and Salesforce - Unblocked ~$150M in enterprise sales pipeline by leading cloud transition and Kubernetes-native Spark architecture, enabling adoption by the largest Workday customers - Improved platform profitability by ~20% and increased renewal rates by ~25% through predictive operations and capacity planning products that shifted teams from reactive to proactive execution - Established enterprise reliability governance via SLO-based measurement and observability frameworks adopted by 20+ teams, reducing P0 incidents by ~40% and improving MTTR by ~80% - Built and scaled a globally distributed engineering organization from 15 to 45+ engineers across the US and Ireland, while developing a strong product leadership bench - Leading AI-powered autonomous operations initiatives (incident triage, root cause analysis, resource optimization), materially reducing operational toil and cloud spend at scale
Product: YouTube Led product strategy for AI/Machine learning-driven access control, identity verification (Selfie/Facial Detection), and platform integrity systems at YouTube scale. Owned outcomes spanning creator growth, platform safety, and operational cost efficiency across hundreds of millions of users. - Scaled identity-based premium creator access from ~50M to ~250M users in three years, supporting multi-billion-dollar creator economy growth - Drove adoption of ML-based automation across identity verification workflows, reducing operational costs by ~90% while improving accuracy and user experience - Led trust & safety product initiatives that reduced harmful content visibility by billions of views, protecting advertiser confidence and creator monetization - Defined and executed a three-year ML platform strategy for classifiers, rate limiting, and abuse prevention systems in partnership with engineering, data science, and policy teams - Established experimentation and A/B testing frameworks to optimize high-value creator journeys across global markets - Operated at the intersection of product, engineering, policy, and legal stakeholders, balancing growth, safety, and regulatory considerations at global scale
Owned global personalization and recommendation products across adidas’ digital ecosystem, driving measurable revenue growth and operational efficiency through ML-driven customer engagement. Led strategic overhaul of personalization and targeting systems, re-engaging 150K+ customers and increasing repeat engagement by ~30%, contributing ~$25M+ in incremental revenue - Rolled out ML-driven personalization capabilities across EMEA and Americas, scaling to millions of users while reducing manual marketing operations by ~95% - Secured C-suite alignment on a unified product metrics framework spanning acquisition, engagement, and retention, driving enterprise-wide adoption - Orchestrated cross-functional execution across data science, marketing, and engineering teams, establishing new standards for customer-centric personalization at global scale
Built foundational capabilities across analytics, pricing, personalization, and large-scale data systems in high-growth consumer and enterprise environments. Progressed from hands-on execution to owning problem definition, solution design, and business outcomes across multiple industries including e-commerce, retail, and logistics. Strategic Impact: - Scaled analytics-first Last mile delivery startup (Fetchr) to $30M ARR, creating route optimization as core competitive advantage - Generated $5M+ incremental revenue through loyalty analytics products at $2B retail conglomerate - Improved e-commerce margins 28% and reduced stockouts 45% via ML-driven pricing algorithms Leadership Development: - Built and scaled analytics and data science teams from early-stage groups to 50+ analysts, partnering directly with senior leadership and boards on strategic initiatives - Designed enterprise metrics frameworks that became the operating backbone for product, supply chain, and commercial decision-making - Co-founded education startup, scaling to 200+ students and INR 1Cr+ revenue Notable Organizations: Fetchr, Snapdeal, Microsoft, Fractal Analytics, Accenture