Staff Product Designer - Expert Experience

Databricks

P-1345 You will be the Product Manager for the Databricks Runtime team in Berlin. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data.  This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: * Own the end-to-end product management process * Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product * Drive launches with product marketing through blog posts, release notes, webinars * Define and measure OKRs for your products * Drive the prioritization and development of features, measurably making it simpler and more cost effective for customers to govern and process petabytes of data. What we look for: * 6+ yrs of experience * Bachelors degree in Computer Science or similar field * Experience in Product Management (inbound, outbound, cross-functional processes) * Technical skills * Solid understanding of cloud infrastructure (AWS, Azure, GCP) * Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards) 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.

Parloa

ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.  ABOUT THE ROLE: The Infrastructure Platform team owns the foundation that every other engineering team at Parloa builds on: cloud infrastructure, provisioning and orchestration, CI/CD, and the runtime environments that our AI agents execute in. Its current flagship initiative, Deployment Stamps, is re-platforming how Parloa delivers isolated, reliable, and compliant environments across public cloud and customer-owned private cloud and on-premises infrastructure. We are looking for a Staff or Principal Product Manager to own the product management for this team. This is one of the most technical product roles at Parloa. You will not be writing user stories for a UI, you will be shaping the architecture-adjacent product strategy for a platform whose "customers" are largely internal engineering teams and the most demanding enterprise security, compliance, and infrastructure stakeholders on the other side of the table. This is a builder role in a domain where the playbook is still being written. If you want to define what "good" looks like for enterprise-grade AI infrastructure, data residency and sovereignty, isolation, and a multi-cloud operating model, and you are energized by deeply technical problems and technical stakeholders, this is it. A note on background: We have a strong preference for candidates who have spent time as an Engineering Manager, Tech Lead, or senior engineer before moving into product. This domain rewards genuine technical depth and the instinct to earn trust with engineers by speaking their language. A former EM who has since developed strong product judgment is exactly the profile we have in mind.   AREAS OF OWNERSHIP: * Own the Infrastructure Platform product strategy and roadmap: translating reliability, isolation, data-residency, and multi-cloud goals into a sequenced, outcomes-driven plan that engineering can execute against. * Be the voice of internal and enterprise customers: your primary users are Parloa engineering teams (developer experience, deployment, runtime) and your most demanding external stakeholders are enterprise CISOs, CIOs, and infrastructure leaders with strict compliance and sovereignty requirements. * Drive discovery and write the PRDs that frame outcomes (isolation, compliance, availability) without over-prescribing implementation, then partner with engineering leads and architects to pressure-test feasibility and trade-offs. * Own the hard prioritization calls: balancing near-term delivery milestones against longer-term architecture evolution, and making explicit, defensible decisions about scope, sequencing, and risk. * Define and track the metrics that matter for a platform: availability and SLA attainment, provisioning lead time, deployment frequency, change-failure rate, adoption by internal teams, and developer satisfaction. * Establish mechanisms, not just features: repeatable processes for region readiness/certification, release management, and cross-team alignment that scale as the platform grows from a handful of environments to many. * Align a broad, technical stakeholder set: Engineering, Architecture, Security, Legal/Compliance, and the customer-facing teams (Deployment, Sales Engineering) who need to position the platform's capabilities to enterprise accounts. * Connect the platform to revenue: articulate how infrastructure capabilities (e.g., data residency, private cloud, isolation tiers) unlock enterprise deals, new regions, and expansion, and feed that back into prioritization. * Communicate clearly across technical and business contexts: equally comfortable in an architecture review and in a leadership readout.   WHO YOU ARE: * A technical-leadership background. 7+ years of combined engineering and product experience for Staff (L4); 10+ years with demonstrated product leadership for Principal (L5). Prior experience as an Engineering Manager, Tech Lead, or senior/staff engineer is strongly preferred. * Deep infrastructure fluency. Hands-on familiarity with cloud platforms (Azure, AWS, and/or GCP), Kubernetes, infrastructure-as-code, CI/CD, networking, identity/auth, and observability. You can read an architecture diagram, follow a design trade-off, and hold your own with principal engineers. * Platform product judgment. You understand the difference between building a feature and building a platform capability, and you instinctively design for reusability, operability, and the long-term developer experience rather than one-off solutions. * Comfort with ambiguity and complexity. You can take an under-defined, multi-team initiative with competing constraints and bring clarity, sequencing, and momentum, designing and delivering long-term solutions with limited oversight. * Strong product fundamentals. Discovery, roadmapping, writing crisp PRDs and narratives, defining measurable success criteria, and running a disciplined delivery process with engineering. * Stakeholder leadership and influence without authority. A track record of aligning engineering, security, and business stakeholders around a shared technical direction and resolving contentious trade-offs. * Excellent written and verbal communication tailored to audiences of varying technical depth, from engineers to enterprise security reviewers to company leadership. * An ownership mindset and bias for action: you take responsibility for outcomes end-to-end and move with appropriate urgency. NICE TO HAVE * Direct experience with enterprise data residency, sovereignty, or compliance requirements (e.g., regulated industries, regional data boundaries). * Familiarity with multi-cloud or hybrid / on-premises delivery, and the patterns (and pitfalls) of orchestration at scale. * Experience building internal developer platforms and applying Team Topologies / platform-as-a-product thinking. * Background in B2B SaaS infrastructure, cloud, or developer-tools companies. * Exposure to AI/ML platform or runtime infrastructure.   OUR RECRUITING PROCESS: Recruiter Interview → Hiring Manager Interview → 360° Interviews → Case Interview → Bar Raiser Interview   WHY PARLOA? We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale - and want your work to matter in real, everyday moments - this is where you do it. At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them. We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.   ---------------------------------------------------------------------------------------------------------------------------------- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

Databricks

P-1328 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: * Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. * Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. * Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: * BS (or higher) in Computer Science, or a related field * 7+ years of production level experience in one of: Java, Scala, C++, or similar language. * Experience developing large-scale distributed systems. * Experience working on a SaaS platform or with Service-Oriented Architectures. * Good knowledge of SQL.   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.