• Lead and grow a team of software engineers contributing to Backblaze cloud services • Own the software development lifecycle for your team • Contribute to feature development and infrastructure improvements • Ensure the reliability and maintainability of cloud service components • Participate hands-on in code reviews, architecture decisions, and technical problem-solving • Partner with Product Management to shape roadmap priorities • Work closely with QA and release engineering teams • Champion the effective use of AI-assisted development tools • Continuously improve team productivity

• Own the team's technical strategy, roadmap, and goals across Single and Cross retailer search • Drive top-line growth while holding a strict quality bar • Champion the use of LLMs in search • Partner with the platform team to design and ship search architecture • Double the team's experimentation velocity by investing in evaluation, AI-native debugging tooling, and ML foundations • Partner closely with ML, Product, Data Science, Ads, and whitelabel retailer teams

• Lead a high-performing team of software and machine learning engineers focused on Shopping Ads targeting, retrieval, ranking, and engagement models • Drive technical execution for Dynamic Product Ads and Product Listing Ads across ads targeting, candidate retrieval, ranking integrations, model features, and engagement optimization • Act as a hands-on technical leader by contributing to architecture reviews, technical design, debugging complex production issues, and guiding implementation decisions • Partner closely with ML Platform, Ads Serving, Product, Data Science, Measurement, and Infrastructure teams to define roadmaps and deliver advertiser impact • Improve scalability, latency, reliability, relevance, experimentation quality, and operational excellence across Shopping Ads systems • Drive simplification and platformization efforts that improve developer velocity and reduce operational complexity • Establish strong engineering practices around system design, experimentation, code quality, observability, and production ownership • Mentor and develop engineers and technical leads while fostering a culture of technical rigor, accountability, speed, and pragmatic execution • Identify architectural bottlenecks, technical debt, and scaling risks, and proactively drive solutions across organizational boundaries • Stay current with industry trends in commerce advertising, recommendation systems, retrieval and ranking architectures, and Shopping Ads optimization

Role Description The Forward Deployed AI Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first of its kind AI applications with a focus on GenAI. We are looking for a world-class leader to lead and grow our EMEA AI FDE team. In this role, you will: - Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale. - Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations. - Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions. - Lead strategic AI PS initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team. - Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy. - Own OKRs for AI-services led accounts, revenue, utilization, and public references. - Represent Databricks as a thought leader in AI/ML. Qualifications - Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating leaders. - Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments. - Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field. - Experience leading teams building cutting-edge production ML solutions in cloud environments (AWS, Azure, or GCP). - Proven success developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements. - Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI/ML. - “Company-first” mindset. - Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience. Requirements - Experience in a customer-facing consulting or professional services leadership role. - Experience working with Databricks. Benefits - At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Company Description Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .