Senior Product Manager - Data Platform

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category
Product

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Salesforce Customer 360 is an integrated platform that provides a 360-degree view of your customers. With the Customer 360, every company can collaborate around their customer directly or indirectly to deliver data driven personalized experiences their customers expect. Included in this platform is Salesforce Data 360 product, which provides customers a single source of truth about each customer across sales, service, marketing, commerce and external data sources - all points of interaction. Salesforce Data 360 aggregates customer data from many sources, creates rich and dynamic customer profiles with intelligent insights using AI, and builds 1 to 1 personalized customer experiences based on these profiles. It is the future of Intelligent CRM. It's an enormous opportunity!

We are looking for a passionate Product Manager that wants to be a part of defining the future. The right candidate will have in-depth experience building Data Management, Data Platform, AI, BI and analytics platform capabilities using metadata driven system, configuration based extensibility across UI, persistence, analytics and integration layers, integrating data in heterogeneous application landscapes with use of APIs & connectors and domain expertise with Salesforce or equivalent CRM or Marketing solutions. Experience with big data technologies, analytic platforms or applications built for high scale and performance is a big plus.

Reasons to Join

• Impact - your work will be used by thousands of customers, including Fortune 500 companies
• Technology - you will be working with consumer-scale big data and analytics technologies.
• People - you will work with great people in engineering, user experience, research, data science, customer success and more. Providing excellent opportunities to contribute and Learn from the best!
• Broad Exposure - you'll partner with dozens of teams across the company, building your profile and influence while you learn a ton about the top products.
• Learning - you will join a highly cross functional team who interact with all parts of the business every single week.
• Customer Success - You will work in an organization highly focused on delivering customer success throughout their lifecycle
• Culture - Salesforce is a great place to work where there's open and honest communication with our Ohana culture.

• Defining the platform capabilities for Data Cloud, in tighter integration with the Salesforce Platform.
• Develop a comprehensive and forward-thinking product strategy and roadmap for Data 360 deeply integrating with Salesforce Platform capabilities such as Apex, Lightning Web Components, Events, Flow, Sandbox, Dev Experience, and APIs, guided by a deep understanding of metadata driven platforms and industry standard processes.
• Contribute to the end to end Data Management experience for Salesforce Data 360, including influencing our AI, Analytics, and Data strategy.
• Work with other Salesforce cloud products to light up end to end use cases based on data and analytics integrations.
• Collaborate with Salesforce Platform R&D teams to drive necessary platform requirements and dependencies.
• Deliver resources to support adoption through various channels, training, trailhead, blogs, open source and internal proof of concepts.
• Collaborate across multiple teams internally. These services have a high number of internal stakeholders with conflicting needs and require strong product leadership to ensure alignment, consistent design principles, and adoption from other teams.
• Balance product vision & roadmap with partner and customer feedback, competitive analysis, prioritizing across a diverse set of inputs and constituents.
• Engage with our partner and customer communities to deliver feature and product enablement, drive customer success and product adoption.
• Highly Data Driven, experienced with estimations, drive metrics and KPI for adoption, growth etc.
• Understand the latest AI technologies including prompt engineering, RAG, LLMs, Reasoning, vibe coding and prototyping will be a big plus
• Experienced in CTS analysis, Pricing and Packaging.
• Work closely with key customers to envision, plan and execute along with assigned architecture and consulting resources.

• A deep understanding of building App Platforms including metadata, custom objects & fields, APIs and Setup.
• Solid understanding of Saas Platform technologies, architecture, and integrations, experience with Salesforce Platform is a big plus, including Developer Platform, DX, extensibility, UI, API.
• Demonstrated success in conceptualizing and launching platform products, ideally within the Salesforce ecosyste
• Minimum of 10+ years' combined experience in engineering or product management with expertise in SaaS or PaaS environments.
• Proven ability to influence and coordinate cross-functional teams to execute against a plan.
• Well-developed leadership, management, and strategic-thinking skills, with the ability to excite and lead others.
• Excellent organization and communications skills, with experience communicating across groups with varying degrees of technical background.
• Experience presenting to executive leadership, participating in the sales cycle, and handling sensitive customer escalations.
• Experience with big data technologies, analytic platforms and AI/ML frameworks