Senior Staff Product Manager

22 hours ago

Prague, Hlavní město Praha, Czech Republic Ataccama Full time 120,000 - 240,000 per year
We are Ataccama, and we are on a mission to empower organizations to maximize the transformative potential of data and AI. Our product enables both technical and less technical 'data people' across their organizations to create high-quality, governed, safe, and reusable data products. It's what made us a Leader in the Gartner Magic Quadrant for Data Quality Solutions, and what inspired Bain Capital Tech Opportunities to invest in our future growth.
Our vision is to be the leading AI-powered cloud data management company and to do that, we're making Ataccama a great place to work and grow. Our people are located across the globe. They succeed by collaborating as a team and thrive in our company culture defined by these core values:
Challenging Fun ONE Team Customer Centric Candid and Caring Aim High
We are open to a hybrid working setup.
Role Mission
As a Senior Staff Product Manager for Platform & APIs, you will drive the strategic direction for Ataccama's core data processing engine and programmatic interfaces. You'll define how our platform scales to process massive data volumes efficiently, securely, and cost-effectively across the modern data stack - from Databricks and Snowflake to Kafka and beyond.
You will own the end-to-end API and SDK strategy that makes Ataccama accessible and extensible, while also leading key product decisions around how our underlying engine executes, optimizes, and scales data workloads. This is a highly technical IC role that blends platform architecture, developer experience, and deep product strategy.
Your work will directly influence how Ataccama handles distributed processing, hybrid workloads, and large-scale metadata-driven automation - making our platform a first-class citizen within today's data ecosystems.
Your challenge:
  • Own the API & SDK execution and strategy: Lead the vision, roadmap, and delivery of our programmatic interfaces, ensuring APIs and SDKs are intuitive, secure, and interoperable across Snowflake, Databricks, BigQuery, Airflow, Kafka, and dbt.
  • Define and drive platform strategy: Shape the long-term direction of Ataccama's data processing and compute architecture, including distributed execution, workload optimization, and performance at enterprise scale.
  • Bridge APIs and engine architecture: Ensure our APIs expose meaningful, scalable capabilities aligned with how the Ataccama engine executes data quality, observability, and governance workloads.
  • Stay ahead of the curve: Understand trends in distributed data processing, query engines, and data integration architectures, and evolve our platform accordingly.
  • Collaborate with engineering leadership: Partner with senior staff engineers and architects to translate product strategy into technical execution and guide trade-off decisions between scalability, cost, and simplicity.
  • Support enterprise scale: Design for performance, reliability, security, and compliance requirements of large enterprises.
  • Engage with customers and partners: Gather feedback from data engineers, architects, and developers from both our customer base and partner ecosystem to ensure our APIs and SDKs solve real-world problems that fit naturally into enterprise data ecosystems. 
  • Establish success measures: Define and track adoption metrics, usage analytics, and developer satisfaction scores to ensure continuous improvement.
Is this you?
  • Industry experience: Deep experience (8–12+ years) in B2B SaaS or enterprise data platforms.
  • Proven expertise: Track record of driving platform or infrastructure product strategy, ideally for systems involving large-scale data processing, distributed compute, or developer platforms.
  • API and SDK experience: Solid understanding of REST/GraphQL APIs, SDK development, authentication/authorization (OAuth, SSO), and developer experience best practices.
  • Data platform knowledge: Strong familiarity with modern data ecosystems - e.g., Databricks, Snowflake, BigQuery, Spark, Flink, Kafka, dbt, and Airflow - and how data workloads are orchestrated and optimized across them.
  • Technical fluency: Ability to engage deeply with architecture, compute frameworks, and data processing internals; comfortable discussing engine design and workload optimization trade-offs.
  • Strategic operator: Skilled at connecting architectural decisions to product strategy and customer value.
  • Collaboration and influence: Exceptional communicator who can align engineering, architecture, and GTM teams around a shared technical vision.
  • Passion for scale and performance: Enthusiastic about tackling challenges in distributed processing, data pipelines, and high-volume workloads.
  • Experience working in regulated industries (financial services, insurance, pharma) is a plus.
Work equipment
  • Company laptop
  • Company mobile phone + SIM card & package of mobile data
Perks & Benefits
  • Long-Term Incentive Program
  • 2 sick days and 25 days of vacation,  with the option to request additional Flexible Time-Off days when needed
  • The Global Family Support Program - a paid leave program to help all parents focus on the new addition to their family
  • Flexible working hours & hybrid work setup
  • Benefit Plus - flexible employee benefit platform (incl. Multisport card)
  • Annual package for mental health support
  • "Bring Your Friend" referral program
  • Shared company cards for free entrance to Prague Zoo & Botanical garden
  • Company bikes, longboards, e-scooters
  • Conference tickets to the best industry events of the year
  • Online courses & company access to Udemy to hone your skills
  • Company library, where you can even suggest the best educational books for us to order
  • Kitchens stocked with fresh fruit and juice, teas, and the best coffee
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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