Source description
About the role
Engineering Leadership & Architecture
Own technical direction across platform, infrastructure, and product systems
Define scalable architecture and ensure reliability, performance, and security
Improve engineering velocity, code quality, and delivery discipline
Strengthen documentation, ownership, and system clarity
Mentor tech team: Engineering, ML, Analytics
AI, Data Science & Analytics Strategy
Define how AI and data drive competitive advantage in our product
Ensure ML models move from experimentation into production environments
Strengthen MLOps, data pipelines, and real-time data systems
Align analytics insights with product and customer decision-making
Ensure AI investments translate into real outcomes, not just experiments
Product & Business Alignment
Partner closely with Product to shape technical roadmap
Work with Sales and Customer teams to understand enterprise requirements
Guide solution design for complex customer use casesEnsure engineering effort maps directly to business impact
Team, Culture & Organizational Development
Lead and develop Engineering, ML/Data Science, and Analytics teams
Hire strong senior talent and raise the technical bar
Create clarity in roles, responsibilities, and technical ownership
Reduce single-point dependency across critical systems
Build a culture of accountability, curiosity, and effectiveness
Hands-On Technical Leadership
Stay close to architecture and key system decisions
Review critical designs and technical proposals
Step into complex technical problems when needed
Prototype or validate high-impact ideas
Lead by example in technical depth and problem solving
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