DELAHODDE Guillaume

Created two squads (Finance Controller, Ecosystem Integrations) and joined an existing one (Customer Operations), in accordance with the various PDE reorganizations.

New pricing & packaging project (Customer Operations):

• replace team lead in existing team lacking a project manager, and release new price & packaging (P&P) (~1y dev)
• • restructured and re-prioritized left-to-do with engineers
  • organized testing sessions with stakeholders
• ±10% mean revenue increase from new customers

HR integrations feature (Ecosystem Integrations):

• create a new squad, release high-stakes HR integrations feature in under 6 months, build foundations for improvements
• • created a new squad (4 engineers, 1 product manager, 1 designer) and a unique and iteratively created squad culture and rituals
  • built an HR integration system in ~5 months (to beta release), including near real-time synchronization of users between the HR tool and Spendesk
  • spun a new micro-service around HR integrations
• • ±15% customers set up the integration 3 months after Go Live
  • less than half a day bugfixing per 2-week sprint
  • > 99.9% uptime since release

Grow the team:

• grow the team following a round of fundraising
• • ramped up recruitment externally (recruitment network) and internally (People Partners)
  • restructured recruitment criteria and process
• • engineering grew from 5 to 20 people by Jan 2022
  • engineering seniority increased (~5 years average)

Mobile app project:

• mobile app development was stalled, release date exceed by 6 months; main developer was burned out
• created a taskforce of engineers with mobile experience
• mobile app was released in three weeks; outstanding bugs were fixed and monitoring was put in place

Recommendation engine project:

• recommendation engine development scope creep, team lead selected a database paradigm unknown to the team (graph-based, Neo4J)
• set-up bi-weekly progress loop; implemented pair-programming sessions; set-up close loop w/ Neo4J technical support
• recommendation engine was released with a measured, reduced scope

• leading a 3-person squad responsible for Client Tools
• developing a dataviz platform with BigQuery, Cube.JS and React
• improving and maintaining the UI kit
• maintaining the configuration console and the related API, and a debug Chrome extension

• product recommendation API (low latency, high throughput) for e-commerce
• the React configuration app for clients (legacy maintenance & evolution, remade from scratch using React)
• the Early Birds UI kit in React
• team work organization as Scrum master

• DNS-like system with rDNS capabilities. Workers all around the world to keep data up-to-date, servers handling more than 1 billion requests per day from these workers to integrate data to the system

• Node.js ES6 batches to synchronize data with various RTB platforms

• internal admin panel app maintenance & evolution

• API server for in-house mobile SDKs and Web interfaces

• proxy system hosted in a renown cloud system for mapping and serving data to Java workers

• a proxy dispatcher with a proxy scoring system and automated proxy restart (Amazon EC2, Node.js), and on an analytics system with close to real time data aggregation and retrieval (Node.js, MongoDB, module system for custom metrics like Facebook events, app download count or search by region)

• an HTML5/CSS3/JS image compositing plugin, with drag 'n drop and sample preview.

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