Sr. Director of Product - AI

Own Company

Own Company

Software Engineering, Product, Data Science

San Francisco, CA, USA

Posted on May 21, 2026

Description

Overview of the Role:

This is a strategic product leadership role designed to serve as the connective tissue across a portfolio of AI-powered products and platform capabilities. Rather than owning a single product roadmap, this leader operates as a portfolio-level orchestrator - ensuring that products built across operating units work together as a coherent system. The role spans cross-cutting domains

including AI/ML functionality, identity and access management, security architecture, and platform processes, with an additional lens on pricing coherence and acquisition target evaluation.

Responsibilities:

Portfolio Alignment:

• Identify misalignments across product teams in AI functionality, identity, security, data architecture, and platform APIs

• Facilitate cross-functional product reviews and governance processes to surface and resolve conflicts before they reach

customers

• Maintain a living map of portfolio capabilities, overlaps, gaps, and interdependencies

Cross-Functional Coordination:

• Apply basic program management rigor to keep alignment workstreams and stakeholder commitments on track

• Serve as a trusted advisor to product GMs and business unit leaders on portfolio-level implications of local roadmap

decisions

• Represent product portfolio coherence in executive and board-level planning conversations

Pricing & Monetization Coherence:

• Partner with pricing, finance, and product leadership to flag inconsistencies or risks in cross-portfolio packaging and pricing

• Advocate for portfolio-level pricing logic without owning pricing decisions directly

M&A Due Diligence & Gap Analysis:

• Conduct structured capability gap assessments against market and competitive benchmarks

• Identify and prioritize acquisition or partnership targets that could address strategic gaps

• Support corporate development with product-side due diligence on inbound and outbound targets

Required Qualifications:

• 8–12 years of experience in product management, product strategy, or a closely related function

• Background at a major cloud platform (AWS, Azure, GCP, Salesforce, ServiceNow, or equivalent) strongly preferred — deep

familiarity with how platform ecosystems are architected and governed

• Demonstrated experience working across product lines or in a horizontal/platform PM capacity

• Fluency in identity, security, and AI/ML product domains — engineering depth not required, but technical literacy is essential

• Proven ability to influence without authority — succeeds by building trust and making alignment obvious, not by controlling

resources

• Strong written and verbal communication; comfortable operating in executive settings

Preferred Qualifications:

• Experience supporting or leading M&A; due diligence from the product side is a strong plus

LI-Y*

For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.