Product Manager - Benchmarking Platform

As a Product Manager for the Benchmarking Platform, you will have the following responsibilities: - Own, define, and manage the product roadmap, execution, stakeholder alignment, compliance/security, and ensure that the product development, deployment, and iterations meet business expectations. - Manage the product roadmap, backlog, and delivery milestones effectively. - Translate business needs into user stories, functional specifications, and acceptance criteria. - Collaborate with engineering/data teams on ETL pipelines, APIs, and orchestration using tools like Airflow/Step Functions. - Champion AI/ML integration, predictive benchmarking, and workflow automation features within the platform. - Oversee the development of dashboards, automate reports in formats like PPT/PDF, and design a self-service experience for users. - Ensure compliance, security, and clear stakeholder communication across different teams. Desired Experience & Skills: - 6+ years of experience in SaaS/data product management with a focus on subscription research or analytics platforms for at least 2 years. - Proven track record of defining product requirements, creating BRDs/FRDs, and leading engineering/data delivery processes. - Hands-on experience with ETL/ELT workflows, tools like Airflow, dbt, and knowledge of data orchestration best practices. - Familiarity with cloud ecosystems such as AWS/Azure/GCP and strong knowledge of databases like Snowflake, BigQuery, or Redshift. - Experience in analytics/visualization tools like Tableau, Power BI, or embedded BI tools such as Superset and Looker. - Proficiency in working with APIs & Microservices like REST/GraphQL/Similar APIs, along with authentication methods like OAuth, SAML, SSO. - Knowledge of data governance principles including tools like Great Expectations, semantic modeling, and concepts of row/column-level security. - Bonus: Exposure to tools like PptxGenJS, WeasyPrint, and AI/ML-enabled product features such as Chatbot Integration into SaaS products. Academic Background: - Bachelors degree in Computer Science/Engineering is required. - An MBA or Business Analysis background is considered an advantage.,