Salesforce is looking to accelerate revenue growth and elevate customer success by building reliable data and AI products that empower sellers and provide insights for leaders. The company aims to harness data and AI to drive strategic and automated decisions across the organization, operating in a data mesh architecture.
Requirements
- Proven experience operating within or transitioning to a data mesh architecture.
- Deep familiarity and hands-on experience with modern data platforms and tools , including: Cloud Data Warehouses: Snowflake (or similar like BigQuery, Redshift), Data Transformation: dbt (data build tool), Orchestration: Apache Airflow, Dagster, or similar workflow management tools
- Experience defining and analyzing sales-specific metrics Managing multiple data products such as pipeline stages, forecast accuracy, product hierarchy performance, and customer segmentation simultaneously across their full lifecycle while coordinating cross-functional teams, balancing priorities, and maintaining quality in a data mesh.
- Experience with data cataloging, data quality and discovery tools.
- Familiarity with data governance frameworks and tools in a distributed data environment.
- Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker).
- A related. technical degree required.
Responsibilities
- Define and execute the vision, strategy, and roadmap for data products in the Sales domain, aligning with overall business objectives and data mesh principles.
- Translate complex business requirements into clear, concise, and actionable data product specifications and user stories, prioritizing features based on business value and technical feasibility.
- Act as the product owner for sales data products, managing the entire product lifecycle from ideation to launch and continuous iteration.
- Champion data mesh principles within the Sales domain, advocating for data ownership, domain-oriented data products, self-serve capabilities, and federated computational governance.
- Work closely with data engineers, analytic engineers, and data scientists. You'll understand the technical complexities of data platforms and help guide the build-out of robust, scalable data products.
- Leverage your deep understanding of modern data platforms and tools (e.g., Snowflake, dbt, Airflow, Dagster) to drive platform enhancements to ensure best data products.
- Develop and execute go-to-market strategies for new data products, including user training, documentation, and communication plans to drive adoption and value realization.
Other
- 10+ years of product management experience , with at least 5+ years focused on data products or data platforms.
- Strong domain expertise in Sales , with a comprehensive understanding of sales processes, CRM systems (e.g., Salesforce), and key sales metrics (e.g., win rates, conversion rates, pipeline velocity, ACV, ARR).
- Excellent analytical and problem-solving skills , with the ability to translate complex data and technical concepts into business value for sales stakeholders while converting sales needs into actionable requirements for technical teams.
- Exceptional communication, presentation, and interpersonal skills , with the ability to influence strategic decisions by presenting data product roadmaps and business impact to senior leadership while building credibility across all organizational levels from sellers to C-suite.
- Demonstrated ability to lead cross-functional teams in an agile development environment.
