Apply Job Type Full-time Description

  

About the Role 

We are seeking a highly skilled Technical Group Product Manager (GPM) to lead our Data Engineering product portfolio. You will own the vision, strategy, and roadmap for data infrastructure, pipelines, and platforms that enable scalable and reliable data delivery across the organization. This role bridges engineering and business teams and will work cross-functionally with data engineers, analysts, software developers, and other product teams to build data products that support analytics, machine learning, and operational needs. 

Key Responsibilities Product Leadership: Define and drive the product vision and roadmap for the data engineering platform, including data pipelines, ETL      frameworks, data lakes/warehouses, and governance tooling. Lead a team of product managers focused on individual data platform components. Partner with engineering leadership to prioritize initiatives and manage technical trade-offs. Strategy and Execution: Develop a clear strategy for scaling and modernizing data infrastructure to support company growth. Champion data engineering best practices including observability, data quality, security, and lineage. Cross-Functional Collaboration: Work closely with stakeholders from analytics, data science, finance, and product teams to understand data needs and translate them into technical solutions. Collaborate with Data Governance, InfoSec, and Compliance to meet regulatory and privacy requirements. Technical Acumen: Understand core data engineering      concepts including batch and streaming architecture, data modeling, orchestration tools (e.g., Airflow, Dagster), and platforms like Spark, Kafka, or Snowflake. Serve as a thought partner for engineering in technical architecture discussions and vendor/tool evaluations. Team Development: Mentor and grow a team of data product managers, fostering a culture of customer focus, delivery excellence, and continuous improvement. Qualifications 8+ years of experience in product management, with 3+ years managing or leading teams. Strong technical background, preferably with a degree in Computer Science, Engineering, or a related field. Demonstrated success managing data infrastructure or data platform products. Experience with modern data stacks (e.g., dbt, Snowflake, Databricks, Kafka, etc.). Excellent communication and stakeholder management skills. Experience forecasting cost increases based on the roadmap and making tradeoff decisions to meet customer needs while staying within budget. Passion for building foundational systems that unlock value across the company. Preferred Qualifications Prior experience as a data engineer or software engineer. Familiarity with cloud-based data architecture (AWS, GCP, or Azure). Experience with data privacy and compliance requirements (e.g., GDPR, HIPAA). Proficient in writing SQL queries.What We Offer

At our company, we believe that supporting our employees inside and outside of work leads to long-term success. That’s why we offer a comprehensive benefits package designed to support your health, financial well-being, personal growth, and work-life balance:

Employer-paid life insurance – fully covered life insurance for your peace of mind.Employer match pension – 4% employer match with an annual cap of CZK 50,000.Multisport card – free or discounted daily access to partner gyms and wellness centers across the Czech Republic, fully      sponsored by us.Private medical care – quality private healthcare at trusted clinics with a 15-year tradition.Paid certified illness – up to 100% salary compensation for temporary illness or family member care.Paid family leave – paid leave for childbirth or adoption, with up to 100% compensation.Paid tuition – financial support to help you grow your knowledge and career through higher education.Employee assistance program (EAP) – confidential support including 3 free mental health sessions, life coaching, legal/financial consultations, and more.Meal vouchers – daily meal support to help cover lunch expenses.Generous PTO – 25 vacation days, 5 sick/flexible days, and 16 paid volunteer hours annually.Flexible work opportunities – options to work in ways that suit your lifestyle.Learning & development – access to a global learning platform to support continuous growth.Referral program – bonuses for referring top talent, based on business needs and policy.

Paylocity is an equal-opportunity employer. Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. At Paylocity, we believe diversity makes us better. We embrace and encourage our employees’ differences in age, culture, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion or spiritual belief, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique. We actively cultivate these differences through our employee resource groups (ERGs), employee experiences, perspectives, talents, and approaches to drive innovation in the software and services we provide our customers. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. To request reasonable accommodation in the job application or interview process, please contact LeaveBenefits@paylocity.com. This email address is exclusively designated for such requests, aligning with federal and state disability laws. Please do not send resumes to this email address, as they will be removed.