Salesforce is looking to establish Trust as a fundamental feature of their Product Data Platform, enhancing the reliability, discoverability, and AI-readiness of product data to fuel enterprise-wide innovation and growth.
Requirements
- Experience implementing data governance requirements and both external (e.g., GDPR, CCPA, SOX) and internal (e.g., data retention, access, classification) data policies and regulations.
- A proven track record of delivering data platform features in complex environments, demonstrating transparency, effective prioritization, and a bias for action.
- 6+ years of experience leading platform or infrastructure products, particularly in data streaming, telemetry, or observability domains.
- Comfortable collaborating with engineers on topics such as event-driven architectures, instrumentation schemas, Kafka, and real-time pipelines. While coding is not required, fluency in technical language is essential.
- Prior experience managing metadata as a product via a Graph Database or an Ontology management tool, with an understanding of what it takes to prepare data for consumption by AI agents.
- Prior experience in applying data governance principles to application telemetry and product data
- Ability to anticipate future trends, understand business and industry direction, and align technical roadmaps accordingly.
Responsibilities
- Define and champion the vision, strategy, and roadmap for trust within the data platform.
- Improve product data quality by establishing well-governed instrumentation and schema practices.
- Design and deliver methods to expose quality and usability metadata through a knowledge graph, enabling semantic understanding, automated reasoning, and accelerating AI-powered applications.
- Establish and maintain quality assessment frameworks, benchmarks, and reporting to ensure adherence to data quality standards.
- Build and scale discovery capabilities, allowing users to quickly find and apply trusted metrics.
- Engage deeply with users through interviews, community channels, and analytics to understand pain points and develop solutions they value.
- Establish and track Key Performance Indicators (KPIs) that measure data usability (e.g., time-to-find, understand, and use) and trust (e.g., data quality, reliability, and compliance).
Other
- Bachelor's Degree in Computer Science, Engineering, or related technical field, or equivalent experience in technical leadership.
- Exceptional Communicator: Capable of simplifying complex information for diverse audiences and building alignment across various functions and levels.
- Recognize that a data platform is a two-sided marketplace, and actively listen to both user groups: analysts and application developers consuming metrics, and data engineers producing them.
- Ensure that improvements in metadata and data governance directly translate into measurable user impact.
- Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
