• 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 .

Title: Engineering Manager, AI Game Engine Location: San Francisco Department: Engineering Employment Type Full time Location Type Hybrid Compensation - San Francisco$223K – $307K Job Description: About Us Weekend (formerly Volley) is the leading developer of voice AI games for smart TVs. Our games attract millions of users every month, with family favorites like Jeopardy!, Song Quiz, CoComelon: Sing and Play with JJ, and Wheel of Fortune. We believe voice interfaces will become the main way people access entertainment in their living rooms, kitchens, bedrooms, and cars. We’re building a bundled subscription product similar to Netflix or Spotify for the emerging category of “AI-powered games.” Weekend was founded by Max Child and James Wilsterman in 2024. The founders went through Y Combinator in 2018 and landed a spot on the 2022 YC Top Companies List. We’re a quickly-growing team headquartered in Union Square, San Francisco. Role Summary We’re looking for an experienced Engineering Manager to lead our AI Game Engine team. You will lead a high performing team of software and ML engineers building the systems and services needed to deliver best-in-class voice-first AI-native gaming experiences to our players on connected TVs and other gaming surfaces. This is a new team responsible for building and evolving our core voice and model integrations along with other services needed to deliver our game development and runtime platform. This includes speech-to-text and text-to-speech pipelines, LLM game integration, model evaluation and fine tuning, image generation pipelines, and content/prompt management. You will work closely with our Game and Platform teams as well as cross functional partners in Product and Data to drive our AI and game engine strategy. You will identify impactful opportunities, rapidly ship new features, and your products to support current and future players. We’re actively expanding our game titles and platforms and this is an opportunity to play a pivotal role in creating innovative, fun applications in voice-activated gaming across connected devices. This job opportunity offers a hybrid work arrangement, and we are specifically seeking candidates who are comfortable with on-site attendance in our Bay Area office 3 times per week and are either currently residing in or near the Bay Area or willing to relocate for on-site work. What You'll Do at Weekend - Lead and grow a high performing team of engineers, ensuring we build the right things at the right time to support our evolving gaming ecosystem. - We are an AI-first development shop - evangelize and leverage AI productivity and development tools within your team and help drive adoption across the company. - Partner closely with Product and Game teams to define the roadmap, set priorities, deliver delightful and impactful features. - Build and scale systems and services to enable fun, engaging and unique player experiences leveraging STT/TTS, LLMs and other core technologies. - Collaborate with platform and infrastructure teams to identify upstream and downstream dependencies, align delivery schedules, and streamline release processes. - Foster a culture of ownership, continuous learning, and product thinking within the team. - Ensure the technical excellence of the team by providing feedback, promoting best practices, and helping remove roadblocks. We're Excited About You Because You Have - 2+ years managing engineering teams, with a proven record of cultivating productivity and team satisfaction. - Demonstrated ability to build and grow high performing engineering teams - 5+ years of hands-on software engineering experience, ideally in fast-paced consumer product environments. - Experience successfully building and evolving AI integrations leveraging STT/TTS/LLM and similar models. - Demonstrated cross-functional collaboration, with strong communication skills and a bias toward action. - Experience building and running scalable services and/or software platforms including monitoring, alerting and incident response. Bonus Points - Experience and personal interest with gaming, interactive media, and AI-powered consumer applications - Prior work on cross-platform products across mobile, smart TVs or voice assistants Our Stack - Typescript & Node.js - React, React Native, Brightscript - DynamoDB, PostgreSQL, Redis - Kubernetes - Amplitude, Snowflake, Tableau What's in it for You - Your medical, dental, and vision insurance is 100% covered by Weekend, for yourself and all dependents and we match 401k! - We offer a flexible, hybrid work-from-home and in-office work model. - We offer unlimited paid time off (enforced 2-week minimum), 16 paid holidays, 40 hours of bereavement leave, and unlimited sick days. - Our generous parental leave policy includes 24 weeks at 100% pay for birthing parents and 12 weeks at 100% pay for non-birthing parents. - We offer visa support for eligible candidates, making relocating for the job smoother and more streamlined.

• Lead, coach, and support a team of around 9 engineers within the Runtime function • Create a healthy, high-trust team environment with a strong focus on people management and team care • Drive planning, prioritisation, and execution across complex technical workstreams • Negotiate timelines and delivery trade-offs with stakeholders in a clear and pragmatic way • Build enough technical context to understand architecture discussions and help translate them into executable plans • Partner closely with technical leaders and contributors to keep projects moving and unblock delivery • Improve team ways of working, communication, and delivery predictability in a distributed environment • Support hiring, onboarding, and ongoing development of team members as the organisation grows