Product Management Senior Director

Salesforce•Boston, MA

1d•$218,400 - $401,400•Hybrid

About The Position

Salesforce is seeking a Senior Director of Product Management for its AI Agent Systems team, operating within Salesforce AI Labs. This role focuses on developing and scaling an "AI agent" that can learn to operate enterprise software like SAP, Oracle, and Workday, turning this knowledge into reusable, code-backed actions. The goal is to build automation that businesses can trust for consequential processes. The position is a hands-on leadership role with significant customer interaction, product strategy definition, prioritization, and go-to-market responsibilities. The ideal candidate will have experience taking enterprise software products from ambiguity to production adoption, with a strong understanding of AI-powered products, technical fluency, and the ability to build directly with customers.

Requirements

Taken an enterprise software product from ambiguity into production adoption.
Hands-on experience bringing AI-powered products to users, understanding evaluation, reliability, latency, cost, and human oversight.
Technically fluent, able to engage deeply with engineers on agent behavior, APIs, workflow state, permissions, and failure recovery.
Build directly with customers, moving between CIO business objectives and process owner daily work.
Demonstrate senior product judgment, owning roadmap and investment tradeoffs, aligning teams without reporting lines, and staying accountable for outcomes.
Comfortable testing the product, writing precise requirements, investigating failures, and doing detailed work for an early product.

Nice To Haves

Enterprise automation, integration platforms, RPA, developer tools, or agent-based products.
Products used across systems such as SAP, Oracle, Workday, or Salesforce.
Combining enterprise sales with self-service evaluation or product-led adoption.
Working with forward-deployed engineering teams.
Growing a zero-to-one product within a startup or an incubation team.

Responsibilities

Build Directly With Customers: Work alongside enterprise customers to understand their processes, identify valuable automation opportunities, and define successful execution. Partner with engineering and forward-deployed engineers to take workflows from exploration to production adoption. Distinguish customer-specific requirements from recurring needs for the core product. Establish credible measures of customer value.
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 based on customer value and repeatable adoption. Make tradeoffs between winning new customers and building capabilities for easier future deployments. 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. Define how users understand agent capabilities, verify results, recover from failures, and retain control. Establish product-level success criteria and release gates. Build a path from hands-on onboarding to self-service adoption.
Take the Product to Market: Partner with Salesforce stakeholders (product marketing, sales, pricing, security, legal) to bring the offering to market. Shape positioning, packaging, and the customer journey. Build a growth strategy connecting enterprise buying decisions with technical validation. Keep leadership aligned on investment, strategy evidence, and future decisions.