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Zendesk is seeking an Accountant to join the EMEA Finance team in Poland (Kraków), responsible for general ledger activities and supporting statutory reporting and compliance. The role includes preparing monthly local-currency accounts under US GAAP and corporate policies, delivering the monthly financial package with variance commentary, performing balance sheet reconciliations, calculating month-end accruals, and coordinating with shared services on fixed assets, prepayments, and accounts payable, plus VAT, cash flow forecasting, internal controls, and ad hoc projects. Requirements include a professional accounting qualification or bachelor’s degree in Accounting/Finance, at least 1 year of relevant GL/international accounting experience, strong Excel, full professional proficiency in English, and the ability to work independently in a fast-paced, highly organized environment with excellent communication. Compensation features a Poland base salary range of zł106,000–zł160,000 per year, with possible bonus or incentives, plus benefits such as hybrid/office flexibility, Extended Stay Program, professional development funds, premium medical and life insurance, mental health support, family-forming benefits, LTIP, and other perks. Zendesk emphasizes collaboration, innovation, and inclusion, offers a global hybrid work environment with in-person and remote work options, and mentions AI may be used in screening; it is an equal opportunity employer with accommodations available.

Zendesk is seeking a Staff Data Engineer, Product Analytics to shape the data foundation for product decision-making, owning data modeling, standards, and trusted datasets across the company. You will own and evolve the product analytics data architecture, define standards for modeling and data quality, translate ambiguous problems into scalable data solutions, and build reliable real-time and batch pipelines while reducing fragmentation through cross-team standardization. The role includes driving performance, scalability, and cost efficiency, establishing data testing/monitoring SLAs, and providing technical leadership through mentorship and design reviews beyond your immediate team. AI is expected to be a core part of operations, with use of AI-assisted tools to accelerate development and a duty to validate outputs and explore AI-enhanced data workflows and analytics. Requirements include 8+ years in data/analytics engineering, strong SQL and data modeling, experience with dbt/Airflow/Snowflake, system design for scalability and cost, data quality/observability, cross-team influence, mentoring, and excellent communication, with a hybrid work setup in Poland and a listed base salary range plus potential bonuses or benefits.

Zendesk is hiring a Senior ML Engineer for its AI Copilot organization, a multi-million ARR product that puts AI directly into the hands of customer service agents, with you owning ML-powered features from prototype to production and applying their “ship to learn” philosophy. You’ll own end-to-end delivery of ML features—from data pipelines and model integration to serving, monitoring, and iterative improvements—work closely with scientists to productionize research, and build ML infrastructure including inference pipelines and evaluation frameworks while mentoring junior engineers. Required qualifications include 5+ years in software/ML engineering, fluency in Python (Ruby a plus), production ML systems experience, LLM integration, SQL/data infrastructure, Docker/Kubernetes, AWS, and strong cross-functional collaboration with scientists, engineers, and product managers. Preferred qualifications include Snowflake and dbt, ML pipeline tools like Metaflow and MLflow, BentoML on Kubernetes, PyTorch or TensorFlow, Kafka, and experience with iterative, metrics-driven development (A/B testing, feature flags, incremental rollouts). The Poland base salary ranges from zł302,000 to zł454,000 with potential bonuses or benefits, and Zendesk emphasizes a hybrid, inclusive culture with equal opportunity and accommodations, while also noting AI-enabled screening during the hiring process.