Associate Product Manager (starting summer 2027)

Salesforce•San Francisco, CA

About The Position

Calling all Trailblazers to join the Salesforce Product Management team! Trailblazers drive innovation, disrupt industries, and shape the world around us. Whether it’s architecting agentic workflows, leveraging real-time data to drive business acumen, or delivering "AI-first" user experiences, Trailblazers propel the future of technology. At Salesforce, nothing is more important than the success of our customers. The Product organization has been focused on delivering customer success since Day 1. Today, that means building the world’s most trusted AI + Data + CRM platform. We deeply understand our customers and constantly seek their input on our products and gather their feedback to improve what we do. We rely on data, experimentation, and AI research to validate our assumptions. We partner with engineering, UX, data science, research, marketing, finance, and customer success to rapidly deliver innovative products and next-generation technologies that change how our customers connect to their customers. Our B2B AI focus creates unique and exciting challenges for delivering the future of technology at scale, requiring us to package and design our products for adoption by thousands of top companies across the world. We do all of this while giving back to the communities where we work and live. With our 1-1-1 Model we give 1% of our time, 1% of our product, and 1% of our equity back into the community. We believe that business is the greatest platform for change and are working toward a more equal world. And with our partners, customers, and Trailhead learning platform we are creating millions of jobs and skilled workers around the world.

Requirements

Bachelor's or Master's Engineering, Computer Science, or a related field.
Previous industry internship in product management or closely related technical role
AI Literacy: A deep interest in (or experience with) LLMs, autonomous agents, and data architecture.
Ability to deliver on commitments and thrive under the pressure of rapid AI release cycles.
Excellent analytical, problem-solving, organizational, presentation, interpersonal, written and verbal communication skills.
Ability to manage multiple projects simultaneously and adapt to shifting technology landscapes.

Nice To Haves

Proven ability to deliver on commitments in high-growth environments
Demonstrated ability to collaborate in small, fast-moving teams and drive decisions with incomplete information
Comfort working in rapid iteration cycles — prototyping, testing with users, and adjusting quickly based on signal
Excellent analytical, problem-solving, organizational, presentation, interpersonal, written and verbal communication skills.
Familiarity with agent orchestration concepts (e.g., tool use, MCP, A2A, Skills, Agent Harnesses, memory, multi-agent coordination) and lifecycle concepts (evaluations, observability, optimization)
Product management or design experience with a focus on software products and AI technologies.
A track record of taking ownership end-to-end in ambiguous environments — from problem discovery through launch
Exposure to responsible AI practices, including trust, safety, and ethical use considerations
Experience building with or on top of AI APIs and developer tools (e.g., OpenAI, Anthropic, LangChain)

Responsibilities

Embed within a small AI pods to rapidly prototype, test, and iterate on agentic features — moving from customer problem to working solution in tight cycles
Understand and analyze user needs to define how autonomous agents can solve complex, multi-step business problems — including edge cases, failure modes, and trust boundaries
Define success criteria and evaluation frameworks for agentic behaviors, including agent telemetry, grounding quality, and escalation paths
Analyze market trends, competitor frameworks, qualitative customer research and quantitative product usage and agent performance signals to drive fast, informed iteration
Help define a product strategy that moves beyond static features toward autonomous, context-aware collaborators.
Partner with designers to create intuitive user experiences where humans and AI agents work together seamlessly.
Work with engineers and designers to build and launch features
Help evangelize product vision through presentations to stakeholders