Jobs at Usercentrics GmbH

Senior Data Scientist responsible for solving complex, cross-functional business problems across marketing, revenue operations, finance, and product. The role develops predictive and statistical models, establishes analytical standards, leads analytics initiatives, mentors team members, and delivers forecasts and recommendations that improve company KPIs. The scientist will partner with executives, translate complex analyses into actionable strategy, and own analytics projects from problem definition through implementation.

Lead and scale the Data Engineering function, overseeing data platform modernization, integration architecture, data warehousing strategy, and team growth while ensuring reliability, compliance, and optimized pipelines for business impact.

Build and ship governed AI applications for departments across the organization using LLM APIs, MCP servers, and internal AI platforms. Partner with business teams, lead technical enablement sessions, advise on AI integrations, document reusable patterns, and contribute to AI infrastructure including gateways, RAG, model operations, and evaluation frameworks. Ensure implementations meet security and governance standards while supporting use-case qualification and adoption reporting.

Lead channel partnership efforts for MCP Manager by identifying, recruiting, onboarding, and managing partners. Develop partner relationships, execute joint go-to-market campaigns and enablement programs, collaborate with Sales, Marketing, Product, and Customer Success, and track partner performance, pipeline, and KPIs. The role also requires monitoring market, competitive, and regulatory trends while aligning partnership strategy with product leadership.

Own the Salesforce ecosystem and broader GTM technology stack, including CRM architecture, governance, automation, integrations, attribution, and data hygiene. Lead a technical team, establish systems roadmaps, implement AI-enabled revenue workflows, evaluate tooling investments, and drive adoption across self-serve, sales-led, and partner-led motions. Partner with Revenue Operations, GTM, Finance, Product, BI, and Enablement to improve pipeline quality, forecasting, productivity, customer experience, and operational efficiency.

Own GTM process governance, enablement methodology, launch readiness, funnel health scorecards, and continuous improvement across self-serve, sales-led, and partner-led motions. Lead a small operations team, establish standardized frameworks, track adoption and conversion metrics, and partner with Product and cross-functional teams to improve market readiness and execution consistency.

Leads global HR operations, managing the HR operations team, HRIS, payroll, benefits, compliance, audits, employee data, and local HR support for Germany or Portugal. Oversees labor-law compliance, vendor coordination, reporting, HR projects, system improvements, automation, and policy implementation across international hubs. Partners with Finance and stakeholders to improve processes, maintain accurate records, and support workforce decision-making.

Owns HR operations across Germany or Portugal and international locations, including HRIS data integrity, payroll, benefits, labor-law compliance, audits, onboarding, offboarding, employee support, reporting, and process improvement. The role maintains systems such as HiBob, coordinates with payroll and government vendors, monitors legislative changes, manages HR queries, and delivers accurate HR metrics and compliance outputs in a global environment.

Manage the full B2B SaaS sales cycle, including outbound prospecting, inbound lead qualification, discovery, product demonstrations, proposals, negotiations, and closing. Build mid-market and enterprise pipeline, maintain CRM hygiene and accurate forecasts, and collaborate with Marketing, Customer Success, and Product. The role focuses on privacy solutions for regulated industries and requires both sales development and account executive capabilities.

Own the end-to-end architecture and long-term health of a global Salesforce ecosystem supporting complex GTM motions. Design data, security, sharing, and integration architectures; translate business requirements into scalable solutions; establish development and release standards; oversee APIs, middleware, and event-driven integrations; guide buy-versus-build decisions; lead technical reviews; manage technical debt and governance; and evaluate Salesforce innovations including Data Cloud, Agentforce, and Flow.

Lead Usercentrics’ Office of AI across engineering platforms and company-wide business adoption. Own AI enablement, champion networks, use-case delivery, platform strategy, evaluation frameworks, governance, hiring, and team development. Guide LLM, agent, RAG, model operations, and AI infrastructure initiatives while partnering with Security, Legal, Platform Engineering, and business leaders. Deliver measurable outcomes, establish technical standards, and grow a mixed technical and non-technical organization.

Supports pre-sales discovery, solution design, demos, customer onboarding, implementation, retention, partner integrations, and RFx responses. Designs scalable architectures, validates API integrations, resolves technical issues, creates partner enablement content, and collaborates with Legal, Product, Engineering, Account Executives, and Customer Success. The role translates technical concepts for customers and executive stakeholders while providing feedback to improve product offerings.

Lead partner marketing strategy and manage a team of three supporting a 6,000-plus partner ecosystem. Oversee partner acquisition and engagement campaigns, field marketing events, co-marketing programs, content and enablement collateral, communications, localization, and performance measurement across Usercentrics and Cookiebot brands. Partner cross-functionally with Partnerships, Enablement, and Marketing leadership to align campaigns with go-to-market and brand objectives while optimizing performance through data and industry insights.

Own the technical strategy and delivery of internal AI enablement. Build complex AI applications and lead the development of the AI platform, including LLM gateways, RAG infrastructure, model operations, evaluation frameworks, guardrails, and an internal AI marketplace. Establish engineering standards, mentor enablement engineers, provide technical education, partner with Security and Platform Engineering, and translate organizational AI goals into measurable roadmaps.

Serve as the primary support contact for B2B self-service clients through Zendesk, helping customers navigate the platform, configure accounts, and resolve issues. Create knowledge-base resources, gather feedback for product improvements, collaborate with Customer Success, Tech Support, Product, and Finance, and resolve billing inquiries. The role requires strong English communication, problem-solving, organization, and the ability to manage multiple priorities in a hybrid environment.

Provide B2B technical support: manage tickets end-to-end, troubleshoot web-related issues, debug with Chrome DevTools, write guides, collaborate with product teams, and suggest product and process improvements.

Own and grow MCP Manager product: define roadmap, gather and analyze customer and usage data, write PRDs, collaborate with engineering and design, support GTM launches, and represent product externally while aligning decisions with Usercentrics' privacy strategy and business goals.

Lead a product management team and own strategy, outcomes, execution, and talent development for a product pillar. Set roadmaps, make investment trade-offs, drive product-led growth, use data and customer insight to guide decisions, partner with Engineering, Design, and Go-To-Market teams, address regulatory challenges, and promote AI-native product practices.

Manage a portfolio of high-value enterprise customers, serving as their trusted advisor and primary contact. Develop customized success plans, support onboarding and adoption, monitor customer health, prevent churn, and identify renewal, upsell, and cross-sell opportunities. Collaborate with Product, Sales, Support, Marketing, and Customer Engineering teams, lead business reviews and commercial discussions, advocate for customer needs, and educate clients on privacy products and industry practices.

Own full-cycle enterprise sales for MCP Manager, prospecting and engaging C-level and security stakeholders, running technical demos, managing vendor security due diligence (SOC 2), closing complex deals, forecasting in CRM, and feeding market input to product and customer success for onboarding and expansion.