Job summary
Job post source
This job is directly from Workato
Job overview
The Director Product Manager at Workato leads the strategy and execution for a unified data orchestration platform, driving enterprise adoption and innovation in data pipeline management.
Responsibilities and impact
The role involves developing product strategy for ETL, ELT, and Reverse ETL platforms, embedding governance and observability features, leveraging AI for data pipeline optimization, building data virtualization and analytics capabilities, and leading cross-functional teams to ensure product success.
Experience and skills
Candidates need 7+ years in product management within SaaS or B2B, expertise in data orchestration technologies like ETL, ELT, Reverse ETL, and tools such as DBT and Airflow, strong knowledge of cloud platforms and data security, and a background in customer-centric product execution.
Work environment and culture
Workato fosters a flexible, trust-oriented culture emphasizing innovation and ownership, encouraging team players to actively contribute to company growth.
Company information
Workato is a leader in enterprise orchestration, providing an AI-powered platform that connects data, processes, and applications for 400,000 global customers to streamline operations and drive business agility.
Unique job features
The job stands out by focusing on AI-powered innovation in data orchestration, integrating advanced data virtualization and analytics, and embedding comprehensive governance and security features into a unified platform.
Company overview
Workato is a leading enterprise automation platform that integrates applications and automates workflows across various business functions. They generate revenue through subscription-based services, offering different pricing tiers based on the number of integrations and automation tasks. Founded in 2013, Workato has grown rapidly, securing significant funding and forming strategic partnerships with major tech companies. Their platform is known for its ease of use, enabling both IT and business users to create complex automations without extensive coding knowledge.
How to land this job
Tailor your resume to emphasize leadership in enterprise data orchestration, highlighting experience with ETL, ELT, and Reverse ETL pipelines and your ability to unify data platforms across SaaS and cloud ecosystems.
Showcase your expertise in embedding data governance, quality, and observability features within data products, along with experience in AI-powered innovations like predictive analytics and self-healing pipelines.
Apply through multiple channels including Workato’s corporate career site and LinkedIn to maximize your chances of being noticed by recruiters and hiring managers.
Connect on LinkedIn with current Workato product managers or leaders in data orchestration, using ice breakers such as commenting on recent Workato AI innovations or asking about their experience scaling data platforms in enterprise environments.
Optimize your resume for ATS by incorporating keywords from the job description like 'data orchestration,' 'ETL,' 'ELT,' 'Reverse ETL,' 'data governance,' 'AI-powered analytics,' and specific tools like 'DBT,' 'Coalesce,' and 'Snowflake' to ensure it passes automated screenings.
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