• Lead execution of the ML roadmap, with a focus on building scalable, production-grade ML Platform infrastructure for 3D deep learning and computer vision applications. • Build and lead a high-performing ML Platform team, with an emphasis on reliability, reproducibility, and efficient model lifecycle management. • Partner with product, engineering, and research stakeholders to translate ML innovations into robust, deployable systems that support key business objectives. • Oversee the end-to-end deployment of computer vision models that extract structure from complex 3D scan data, ensuring production readiness and performance at scale. • Drive experimentation and implementation of SOTA techniques for 3D generative AI, while ensuring they are integrated into robust ML Platform workflows. • Collaborate cross-functionally to identify pain points and bottlenecks in current ML pipelines and deliver improvements through automation and tooling. • Manage large-scale data pipelines, versioning, and labeling workflows to support both generalized and fine-tuned model development. • Define and implement rigorous evaluation and monitoring strategies to maintain high model quality, mitigate drift, and ensure reliability in production. • Establish and maintain best practices for CI/CD of ML models, including model versioning, rollback mechanisms, and monitoring for performance and integrity.

• Drive significant impact for our customers and business by leading your team to deliver results consistently and sustainably • Build a best-in-class engineering team by coaching, mentoring, and creating an environment where your team can do their best work • Set direction and guide technical strategy, ensuring that your team is delivering long-term value aligned with Vanta's business priorities • Work closely with product, design, and customer-facing teams to build and ship high-value features that solve real customer problems • Champion engineering excellence, including quality, scalability, and operational rigor, as the team grows its platform capabilities and explores AI-driven innovations

• Lead, develop, and retain a team of 10+ software engineers; set goals, grow careers, and foster a healthy, inclusive, high-performance culture. • Own multi-quarter roadmaps for core Serving surfaces (e.g., Dispatching and Assignments, Geospatial/Mapping, Service Options, Shopper Pay/Consumer Pricing, ML Foundations), delivering measurable reliability, scalability, and cost-efficiency improvements. • Partner closely with Logistics Foundations and adjacent Logistics teams to design platform capabilities and interfaces that unlock experimentation, speed, and long-term maintainability. • Engage deeply in technical design and execution—review designs and code, drive architectural decisions, define SLOs, establish observability standards, and oversee on-call and incident response. • Collaborate with PMs, data scientists, and enterprise partners to shape sustainable retailer customizations and marketplace policies that drive growth and operational efficiency. • Prioritize and manage inbound requests across a horizontal surface area, creating clarity, sequencing complex programs, and delivering outcomes in a fast-moving environment with evolving priorities.

• Responsible for leading engineering teams that design, build, and scale the core Loan management and servicing platform. • Define strategy, priorities, and execution plans for engineering teams working on the Loans product line. • Partner with the Product to set roadmaps, balance innovation with stability, and ensure product-market fit. • Hire, mentor, and grow engineering managers, technical leads and senior engineers. • Ensure Loans & core lending platforms are scalable, resilient, and extensible for future growth. • Define and track KPIs (system reliability, velocity, customer satisfaction, compliance adherence). • Drive initiatives to improve engineering processes, CI/CD pipelines, developer productivity, and overall team effectiveness.