Senior Manager/Director - Product Management (AI Platform)

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About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce AI Platform powers AI investments in Einstein product portfolio across Service, Sales and other Salesforce clouds including the recent Einstein GPT capabilities. With the recent industry-wide focus on Generative AI, we are working with multiple external vendors, open source and internal Salesforce Research team to host various LLMs, continuously evaluate/measure quality, build a robust experimentation platform to enable seamless rollout of these LLMs/prompts and enable LLM/prompt enhancements based on customer data and feedback. 

We’re seeking an outstanding Product Management Leader to drive the future of Salesforce AI Platform, specifically focused on hosting LLMs, evaluation frameworks/tools/metrics/benchmarks, experimentation framework and tooling to enable LLM/prompt enhancements.

The ideal candidate is an experienced product leader, who is passionate about making customers and their teams successful. This is a high-profile role that is ready for a candidate who wants to take their career to the next level.

Your Impact

• Define and own product vision, strategy and roadmap for Salesforce AI Platform, focused on a number of aspects including, but not limited to, LLM hosting, Evaluations, Experimentation and Improvements, Prompt tuning and Model fine tuning, Retrieval Augmented Generation (RAG), Keyword & Vector Search, No-code model builder experiences. 

• Drive end-to-end product lifecycle from concept to adoption, including requirements with prioritized features, corresponding justification, and success metrics.

• Collaborate with multiple engineering teams to scope, prioritize and drive feature specifications.

• Engage with customers, stakeholders, and partners to deliver roadmap updates, get product feedback, and identify additional challenges and opportunities.

• Research and understand industry trends and competition in Generative AI.

• Collaborate with product marketing on positioning, messaging, and go-to-market strategies.

• Represent Salesforce as a domain and product expert at customer interactions, industry and corporate events, and community sites and social media.

Required Skills:

• 8+ years of Product Management or similar experience with highly technical products/platforms

• Extensive experience working in AI/ML space including strong technical background and ability to interface with engineers and data scientists in the space 

• Outstanding written and oral communication skills, including experience presenting to executive leadership, participating in the sales cycle, and handling sensitive, critical issues.

• Experience working in and delivering products or services in an agile/lean environment including backlog management (user stories, epics and bugs)

• Deep experience in gathering and transforming product requirements into a practical product roadmap.

• Experience driving deep collaborations within the company and with external partners and customers.

• Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc

Desired Skills:

• Experience defining & building AI platforms and capabilities, focused on enabling different personas to get their jobs done as part of end-to-end ML lifecycle.

• Good understanding of Generative AI and LLM landscape.

• Experience working on ML metrics, evaluations and benchmarking.

• Experience working with Data Science and ML Engineering teams.

• Experience working with AWS & Sagemaker is a plus.

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