Product Management Senior Director

Salesforce; Massachusetts; On-site; USD 240,000 - 340,000; Full time

Job summary

Salesforce is seeking a Senior Director of Product Management for AI Agent Systems within Salesforce AI Labs. This leadership role blends hands-on product direction with direct customer engagement to turn early successes into repeatable market offerings.

You'll shape product vision across agent learning, execution, evaluation, governance, and self-service, while coordinating with marketing, pricing, security, and legal to bring the product to market.

Qualifications

• Experience leading enterprise software products from concept to production adoption.
• Proven ability to balance customer value with business goals.
• Strong collaboration with engineering, design, and sales teams.
• Ability to articulate tradeoffs and drive prioritization across complex programs.

Responsibilities

• Define product vision, roadmap, and sequencing for AI agent systems across learning, execution, evaluation, governance, and self-service.
• Shape market positioning, packaging, and customer journey from demo to production use.
• Lead cross-functional teams with customers to validate workflows and ensure measurable value.
• Partner with Salesforce stakeholders to bring offerings to market and drive growth.

Skills

Enterprise product leadership

AI product strategy

Customer co-creation

Stakeholder alignment

Tools

Jira

Confluence

Job description

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.

Senior Director, PM - AI Agent Systems

AI agents can reason about what needs to happen. Getting them to reliably do work inside the software businesses actually run on is the next frontier.

We're building Systems Integration Agent: computer use for the enterprise. It learns how to operate applications like SAP, Oracle, and Workday, then turns that knowledge into reusable, code-backed actions. The challenge goes beyond making an impressive demo: customers need automation they can trust with consequential business processes.

Our team operates as a small startup within Salesforce AI Labs, separate from the main engineering and product organizations. You'll work directly with the team's leader and engineers, alongside customers, with the autonomy to shape an early product and the resources of Salesforce to back you up.

As Senior Director of Product Management, you'll help turn early production success into a repeatable product business. This is a hands-on product leadership role that includes spending time with customers, making difficult prioritization decisions, shaping the experience, and carrying those decisions through launch and adoption. You should be as comfortable investigating a failed customer workflow as presenting the product strategy to executive leadership.

What You’ll Actually Be Doing

• Build Directly With Customers
  Work alongside enterprise customers to understand their processes, identify valuable automation opportunities, and define what successful execution actually means. Partner with engineering and forward-deployed engineers to take workflows from initial exploration through production adoption. Distinguish customer-specific requirements from recurring needs that deserve investment in the core product. Establish credible measures of customer value, including time saved, operational cost, reliability, and ongoing maintenance.
• Own Product Strategy and Prioritization
  Shape the product vision, roadmap, and sequencing across agent learning, execution, evaluation, governance, and self-service. Decide where to focus first: which customers, systems, and workflows offer the strongest combination of customer value and repeatable adoption. Make explicit tradeoffs between winning a new customer and building capabilities that make the next ten deployments easier. Translate customer requirements and technical constraints into clear product decisions.
• Make Powerful Technology Usable and Trustworthy
  Partner with engineering and design to make recording, building, testing, debugging, and operating workflows accessible to the people who own those processes. Define how users understand what an agent can do, verify its results, recover from failures, and retain control over consequential actions. Establish product-level success criteria and release gates grounded in task completion, correctness, intervention rates, and time to value. Build a path from hands-on onboarding toward increasingly self-service adoption.
• Take the Product to Market
  Partner with Salesforce stakeholders across product marketing, sales, pricing, security, and legal to bring the offering to market. Shape positioning, packaging, and the customer journey from first demonstration to evaluation, purchase, and production use. Build a growth strategy that connects enterprise buying decisions with hands-on technical validation and practitioner credibility. Keep leadership aligned on the investment needed, the evidence behind the strategy, and the decisions that will determine what happens next.

You’re Our Person If...

• You've taken an enterprise software product from ambiguity into production adoption. You can explain the decisions you owned, what customers actually used, and how the product changed after launch.
• You have hands-on experience bringing AI-powered products to users. You understand why model quality alone is insufficient and can reason about evaluation, reliability, latency, cost, and human oversight.
• You are technically fluent. You can engage deeply with engineers on agent behavior, APIs, workflow state, permissions, and failure recovery without needing to be the implementation owner.
• You build directly with customers. You can