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

Role Description As a Senior Engineering Manager for AI Search & Retrieval, you will lead a high-performing team of engineers (including Senior Staff level talent) responsible for shaping the architecture and long-term evolution of our Search platform. You are a proven engineering leader who is passionate about mentoring technical talent, fostering a culture of psychological safety, and rallying a team to deliver on complex technical initiatives that directly contribute to business goals. This role is ideal for someone who balances strong people leadership with deep technical empathy for Search domains, distributed systems, and modern AI/ML production systems. What You’ll Do - Technical Leadership & Domain Strategy - Evolve Search Architecture: Champion the technical roadmap and long-term strategy for core Search infrastructure, spanning indexing, retrieval, ranking, query-time execution, and data processing. - Bridge Engineering & Applied Science: Partner closely with Applied Science and ML teams to productionize advanced ranking models, vector embeddings, and semantic retrieval techniques. - System Excellence at Scale: Ensure search systems meet strict latency, availability, and cost-efficiency SLAs under heavy, real-world enterprise traffic. - Modernize Data Pipelines: Direct the implementation of scalable data streaming and ingestion platforms to ensure search indexes are accurate, automated, and optimized. - Team and Project Management - Execute with Predictability: Collaborate closely with Product Management and cross-functional stakeholders to translate ambiguous business needs into clear, actionable technical roadmaps. - SDLC & Operational Health: Manage the full project lifecycle using structured development cycles. Set high expectations for code quality, rigorous design reviews, change management, and search evaluation metrics (including A/B testing). - Global Collaboration: Drive alignment and consensus across geographically distributed teams and time zones, proactively resolving dependencies and architectural conflicts. - People Leadership & Culture - Nurture High-Caliber Talent: Build, hire, and mentor a best-in-class search engineering team, fostering an inclusive culture of continuous learning, technical excellence, and high performance. - Coach Technical Leaders: Act as a manager and career coach to senior technical talent (including Staff/Senior Staff engineers), creating growth opportunities, defining clear career paths, and helping them maximize their impact as multipliers. Qualifications - 8+ years of professional software engineering experience, with a proven track record in backend infrastructure, distributed systems, and large-scale computing. - Strong domain expertise in Search or Information Retrieval systems, including understanding of search relevance, ranking, and catalog indexing. - Deep data ecosystem knowledge: Experience with big data processing or streaming technologies (e.g., Spark, Kafka, Flink, Solr, Lucene, or Elasticsearch). - 4+ years of hands-on experience architecting and operating production systems within AWS, GCP, or another major cloud provider. - Strong foundations in core production languages, with Java and/or Python strongly preferred. - 4+ years of experience successfully leading, hiring, coaching, and developing high-performance engineering teams. - Ability to possess and articulate a strong product and architectural vision for AI-driven platforms, balancing precision, recall, latency, and operational costs. - Proven ability to handle complex, high-volume production environments with excellent prioritization, time management, and a focus on measurable execution. - Exceptional communication skills, with the ability to explain complex technical tradeoffs to business stakeholders and advocate for engineering health. Bonus Points - Hands-on experience with vector search, embeddings, or semantic retrieval. - Familiarity with offline search evaluation frameworks and online A/B experimentation. - Experience in a high-growth, fast-paced SaaS, e-commerce search, or startup environment. What Success Looks Like in the First 30/60/90 Days - First 30 Days: Immersion & Foundation - Cultural & Process Acumen: Achieve a deep understanding of our core company values, the development lifecycle, and quality/release processes. - Product Architecture Mastery: Develop a high-level comprehension of the AI Search & Retrieval architecture, its key components, and underlying data flows. - Team & Project Mapping: Establish trusted working relationships with all team engineers. Gain a clear handle on all in-flight search initiatives, priorities, and individual ownership. - First 60 Days: Ownership & Optimization - Deep Component Knowledge: Attain a thorough understanding of search relevance systems, upstream/downstream dependencies, and how the platform delivers customer business value. - Process Ownership: Fully own and optimize the team’s operating norms and processes (e.g., sprint planning, bug triage, query performance review, and on-call rotations). - Internal Network: Establish key, cross-functional working relationships with Product, Applied Science, and Engineering leaders outside the immediate team. - First 90 Days: Strategic Impact & Talent Development - Operational Credibility: Successfully shepherd a small feature, enhancement, or optimization through to production deployment, validating system and process knowledge. - Team & Quality Assessment: Develop a clear, objective insight into the team's technical strengths, weaknesses, and key skill or capacity gaps. - Strategic Improvement Plan: Collaborate with Product and Engineering leadership to propose concrete suggestions for improving search relevance, system latency, or team efficiency. - Talent Management Kick-off: Actively manage engineers' careers, establishing robust rapport and defining tailored growth opportunities for each team member. Benefits - A great deal of freedom and trust; no corporate rules or long approval processes. - Flexible working hours to accommodate your working style. - Virtual-first work environment with several Bloomreach Hubs available across three continents. - Company events to experience the global spirit of the company. - 5 paid days off to volunteer. - $1,500 professional education budget annually. - Employee Assistance Program with counselors for non-work-related challenges. - Subscription to Calm - sleep and meditation app. - ‘DisConnect’ days for additional time off each quarter. - Extended parental leave up to 26 calendar weeks for Primary Caregivers. - Restricted Stock Units or Stock Options depending on role, seniority, and location. - Participation in the company's success through the company performance bonus. - Employee referral bonus of up to $3,000. - Celebration of work anniversaries - Bloomversaries!