• Own and articulate the technical strategy and multi‑quarter roadmap for Enterprise Platform APIs, tools, and data models, aligning outcomes with enterprise objectives and retailer needs. • Lead, mentor, and grow a high‑performing team of 10+ software engineers; hire exceptional talent, provide coaching and feedback, and foster an inclusive, high‑trust, high‑ownership culture. • Design and deliver high‑scale, low‑latency APIs and distributed services (REST/gRPC); define clear API contracts, versioning policies, and robust schema management. • Partner cross‑functionally with Product, Business Development, Professional Services, Data Science, and peer engineering teams to prioritize impact, land cross‑org initiatives, and drive platform adoption across stakeholders. • Oversee production services end‑to‑end; establish engineering best practices and SLOs/SLAs, guide on‑call operations, lead incident response and postmortems, and raise the bar on reliability and operational excellence. • Elevate developer velocity and product quality through great tooling, CI/CD, observability, and pragmatic use of AI to automate toil and accelerate delivery.

• 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.