• Lead two engineering teams (Applied ML and Product Engineering)

• Manage cross-functional collaboration between ML research, product, and engineering to deliver AI features at scale

• Drive technical strategy and roadmap for ML infrastructure and product development initiatives

• Built Greenhouse's first GenAI product features, partnering with platform teams to establish reusable ML infrastructure and deployment patterns for future AI capabilities

• Established engineering processes and technical strategy for new product development, driving alignment across engineering, design, and product teams to accelerate delivery timelines

• Led integration of acquired product into Greenhouse platform, merging two engineering teams and establishing unified technical standards, development practices, and communication norms across previously separate organizations

• Drove technical and cultural alignment by defining architectural patterns, code quality standards, and collaborative workflows to create cohesive engineering culture across merged teams

• Managed engineering team delivering product features while establishing agile development practices and improving team velocity

• Mentored engineers and partnered with product and design teams to prioritize roadmap and ship customer-facing features

• Developed full-stack features for a hiring platform and contributed to technical architecture decisions

• Transitioned from individual contributor to tech lead, demonstrating technical and leadership growth