Sr. Manager, Engineering

At Workwize, we’re helping IT teams to easily equip their remote and global teams with all necessary IT equipment. Our automated SaaS platform simplifies hardware deployment, management, and retrieval with fast, reliable deliveries in 100+ countries. With 50.000 users and 120.000 devices under management, we’re solving hybrid work challenges like laptop deliveries, returns and equipment tracking, allowing IT teams to focus less on manual hassles and more on strategic initiatives. Join our team to help shape the future of global collaboration. At Workwize, your work will make a real impact in building smarter, more connected workplaces worldwide. LinkedIn has also recognised Workwize as one of the Top 10 Startups for 2025 in the Netherlands!     About the Role  As our Product Designer, you’ll be pivotal in shaping how users experience Workwize. You’ll collaborate closely with a Product Manager to discover and define great product solutions, leveraging user-centric design, data-driven insights, and a relentless focus on delivering value. Your work will directly impact the efficiency of IT managers worldwide—transforming complex workflows into intuitive, frictionless experiences.    requirements for applying * A portfolio showcasing a strong understanding of interaction and visual design in addition to product strategy and design thinking   What will you do?  * Partner with product managers, developers, external stakeholders and other members of the design team to define user problems * Facilitate research to identify design problems and discover new opportunities through conducting UX research initiatives * Lead feature discovery and design, take end-to-end ownership of the discovery and design process, from concept to implementing designs that make impact.  * Conduct user research, usability testing, and data analysis to create user-first solutions.  * Work in a cross-functional team alongside a product manager, developers, stakeholders, and other team members to create seamless workflows.  * Maintain and evolve design system to ensure scalability and consistency.  * Tackle intricate workflows and application use cases to meet customer needs for an innovative SaaS product which doesn’t exist yet.    Skills & Qualifications  * 7+ years of experience working as a Product Designer (or similar role), ideally in fast paced SaaS companies, working alongside developers and product managers * A deep understanding of building scalable design solutions that are inherently accessible * Experience working in a collaborative and lean/agile environment (startup, product, agency, studio) * Exceptional written and verbal communication skills * Experience using Figma; building design systems * Ability to clearly articulate design rationale to peers and stakeholders, while always addressing technical feasibility and business goals * Design purposeful solutions that are relentlessly focused on solving real user problems * Help to establish, promote and support human-centred design principles, best practises and accessibility standards. Contribute to our ever-growing design system and visual design language * Provide guidance and mentorship to other designers to help us continue to foster an inclusive and collaborative team environment     Workwize Offers * Flexible hybrid work environment. * Top-notch tools and equipment provided. * Vibrant, entrepreneurial culture with opportunities for growth. * Off-sites and multi-yearly team bonding events. * Team lunches and surprise events to keep things fun. * Pension scheme. * The chance to shape how AI is used across an entire product, not just bolt it onto a feature. * Classpass corporate membership.   Our Team   Becoming part of Workwize means making an impact. We make sure that we will contribute to the change in the way of working. For us it is also important that we make an impact on our employees, that they feel challenged and ease. We consist of a rapid growing and ambitious team with all different backgrounds. Entrepreneurs, Operational specialists, Developers, Sales gurus you can find them all at Workwize and are always on the look-out for the next original ideas to reach more consumers and create the best value for our customers.   We are looking forward to meeting you and discover if there is a match with the Workwize team!

P-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution. Mission Lead and scale a world-class AI-first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads. * Build AI-enabled support workflows and reusable automations to improve resolution speed and support quality. * Use Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root-cause analysis safely. * Create reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams. * Ensure strong AI governance, customer data safety, validation practices, auditability, and human-in-the-loop controls. * Partner with Engineering and Product teams to drive AI-first support innovation and operational excellence. OUTCOMES * Drive AI-first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience. * Partner with Engineering and Product teams to operationalize AI-assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers. * Build and scale reusable AI-enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization. * Lead and manage Technical Solutions Engineers, Team Leads, and support operations personnel across AMER support functions based out of the Dallas location. * Own and improve operational KPIs including customer satisfaction, escalation management, backlog health, resolution efficiency, and support quality. * Act as a senior escalation point for customers and internal teams while driving operational excellence and process optimization. * Lead hiring, onboarding, mentoring, technical assessments, training, and career development for support engineers and technical leads. * Conduct regular one-on-ones, annual review, and career development discussions with direct reports. * Be a hands-on technical leader supporting complex issues related to Spark Core, Spark SQL, Structured Streaming, Delta Lake, Lakehouse architecture, and Databricks Runtime technologies. * Guide customers on Spark runtime optimization, distributed systems performance, and best practices for scalable Data & AI workloads. * Own Engineering JIRA escalations and proactively drive faster resolutions for customer-reported product issues. * Maintain internal operational documentation, runbooks, and customer-facing knowledge base assets. * Coordinate closely with Engineering and Backline Support engineering, customer experience intelligence teams to identify, reproduce, and report product defects effectively. * Act as a strong customer advocate and collaborate with cloud partners to support mutual customer success. * Participate in major incident management, escalation handling, on-call rotations, and critical production support activities. WHAT WE ARE LOOKING FOR: * 10+ years of experience designing, building, troubleshooting, and supporting large-scale Data & AI applications using Python, Java, Scala, Spark, or related distributed technologies. * Strong work experience of AI-enabled support workflows, agentic AI systems, Claude Skills workflows, RAG architectures, vector databases and any other operational automation frameworks. * Proven development/delivery experience at a production scale in Databricks tech stacks like Model serving, Lakehouse, Delta, DLT, Lakeflow, Lakebase platforms is a strong plus. * Experience using AI tools for troubleshooting, root-cause analysis, observability analysis, and support workflow acceleration. * Strong hands-on expertise in Apache Spark, Spark SQL, Structured Streaming, Delta Lake, and distributed data processing systems. * Experience leading production-scale workloads across Big Data, Hadoop, AI/ML, Kafka, Streaming, Data Science, or Analytics platforms. * Strong troubleshooting and performance tuning experience for Spark and JVM-based distributed systems, including memory management, garbage collection, heap analysis, and thread dump analysis. * Hands-on experience with AWS, Azure, or GCP cloud platforms. * Proven experience managing globally distributed technical teams and handling high-severity customer escalations. * Strong analytical, debugging, problem-solving, and distributed systems troubleshooting skills. * Excellent written and verbal communication skills with strong customer-facing leadership abilities. * Strong organizational, multitasking, stakeholder management, and operational leadership capabilities.   About Databricks 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. 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. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.