Director Product Manager, Workato
Data Orchestration and Insights
Integration & workflow automation platform
Open for applications
Integration & workflow automation platform
501-1000 employees
Open for applications
501-1000 employees
Company mission
To help businesses streamline their operations by providing a platform to automate their work and integrate their stacks, all in one place.
Role
Who you are
- 7+ years of product management experience in SaaS or B2B environments, specializing in data management, data orchestration, or infrastructure products
- Proven success in shipping and scaling complex data products with measurable business impact
- Strong track record in leading cross-functional teams, influencing product strategy, and driving execution in fast-paced environments
- Deep expertise in ETL, ELT, Reverse ETL, and data activation pipelines
- Strong understanding of modern data architecture, including data lakes, data warehouses, structured and semi-structured data processing
- Experience with data transformation tools (DBT, Coalesce) and orchestration frameworks (Airflow, Dagster) to build scalable pipelines
- Knowledge of real-time data movement, databases (Oracle, SQL Server, PostgreSQL), and cloud analytics platforms (Snowflake, Databricks, BigQuery)
- Familiarity with emerging data technologies like Open Table Format, Apache Iceberg, and their impact on enterprise data strategies
- Hands-on experience with data virtualization and analytics platforms (Denodo, Domo) to enable seamless self-service data exploration and analytics
- Strong background in cloud platforms (AWS, Azure, Google Cloud) and their data ecosystems
- Experience integrating AI/ML-driven insights into data management products to enhance data quality, lineage tracking, and transformation recommendations
- Strong understanding of predictive analytics, anomaly detection, and semantic data enrichment for operational intelligence
- Deep knowledge of data security, compliance, and governance best practices for enterprise data platforms
- Experience embedding data lineage tracking, data quality validation, and operational analytics as core product functionalities
- Strong expertise in real-time observability, automation, and performance monitoring for data pipelines
- Ability to deeply understand customer needs across data engineering, analytics, and business intelligence teams
- Proven ability to translate complex technical concepts into intuitive, user-friendly product capabilities
- Skilled at collaborating with engineering, UX, security, legal, and go-to-market teams to drive enterprise adoption
- Strong ability to use customer research, data analytics, and competitive insights to inform product decisions
- Experience analyzing large-scale data platforms to optimize usage trends and pipeline performance
- Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field
- An MBA or advanced degree is a plus but not required
What the job involves
- As Director Product Manager, you will define and execute the strategy to establish Workato as the enterprise leader in data orchestration
- Your goal is to build a unified platform that seamlessly orchestrates data pipelines for ETL, ELT, and Reverse ETL (data activation)—eliminating the need for fragmented tools and enabling enterprises to move data efficiently across their ecosystem
- Develop and execute the product strategy for a unified data orchestration platform supporting ETL, ELT, and Reverse ETL (data activation) across SaaS, data warehouses, data lakes, and custom sources
- Define and prioritize built-in transformation capabilities and integrations with tools like DBT and Coalesce to scale ELT pipelines efficiently
- Ensure seamless data ingestion, movement, and activation across structured, semi-structured, and unstructured data formats
- Embed data quality, lineage, governance, and operational analytics as core platform features, ensuring enterprises have built-in compliance and data integrity controls
- Develop native observability and automation tools to monitor pipeline performance, detect anomalies, and proactively enforce data governance policies
- Ensure the platform meets enterprise security, compliance, and scalability requirements, making Workato the go-to orchestration solution for large-scale deployments
- Leverage AI to enhance data classification, transformation recommendations, and self-healing pipelines that minimize operational overhead
- Integrate predictive analytics and semantic enrichment to automate data mapping, improve pipeline efficiency, and surface actionable insights
- Work with AI research teams to infuse machine learning into Workato’s data services, driving continuous optimization and smarter decision-making
- Architect a self-service data virtualization platform that provides a self service experience, enabling users to explore and analyze data from third-party apps, data warehouses, data lakes, Workato usage data, and custom datasets in real time
- Develop interactive dashboards and AI-powered analytics that empower businesses to make data-driven decisions without deep technical expertise
- Ensure seamless cross-platform data integration to unify enterprise data landscapes and drive deeper insights
- Collaborate with engineering, UX, and go-to-market teams to ensure seamless feature adoption
- Act as a thought leader internally and externally, driving customer trust and enterprise adoption
Salary benchmarks
Our take
Many businesses struggle with lack of team integration. There are a plethora of handy apps available, and various teams within businesses often use different processes, tools, and software. This has led to many businesses attempting to patch together technologies and create ad-hoc solutions that fail when they need to be scaled. Workato allows businesses to integrate data and apps so that teams can collaborate and communicate securely.
Workato has built a single platform that integrates apps, processes, data, and user experiences to improve efficiency, communication, and business flexibility. There are many integration platforms available, such as SnapLogic and Mulesoft Anypoint Platform, however, Workato has aimed its platform at users who have minimal technical experience, rather than the IT team.
Workato has continued to expand its partnerships and workforce, and is well set to see further growth as it innovates its product offerings and capabilities. The company was recognized as a Leader in the 2023 Gartner® Magic Quadrant™ for Integration Platform as a Service, making five years it has participated and five years it has been recognized.
Steph
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Nov 2021
$200m
SERIES E
Jan 2021
$110m
SERIES D
Total funding: $415m
Company benefits
- Flexible Working Arrangements: We maintain a hybrid remote work model and provide everyone with best of breed technology tools that enable them to work anywhere, anytime.
- Great Employee Benefits: Such as an Employee Assistance Programme (EAP), Health Insurance, Referral Bonuses, and Workato Stock Options, tailored to the countries that our employees are based in.
- Professional Development Opportunities: We support individual career ambitions, and set aside training programs and budgets they can tap on to upgrade both soft and hard skills.
- Dedicated Wellness: We make it a point to dedicate time to pause, recharge and get to know each other better.
- Recreation Time: From virtual game nights to fitness sessions, there's always time for a little fun on the calendars.
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Vijay Tella
(CEO)Spent 15 years as an Engineer at Teknekron and TIBCO, before joining Oracle as CSO. They also served as CEO at Qik, and VP at Skype.
Gautham Viswanathan
(CPO)Spent 12 years at TIBCO Software, before leaving their Corporate Development role to found Blink Interactive. Also served as the CEO of iProfile.
Harish Shetty
(Head of Engineering)Previously held leadership roles in engineering at TIBCO, Blink, and iProfile.
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