Jobs Companies Salesforce Director of Product Management, Agent-Native Web Experiences

À propos de ce poste Director of Product Management, Agent-Native Web Experiences chez Salesforce

Salesforce · Sur site · California - San Francisco

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

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.

The Role
As the Director of Product Management on the Digital Marketing Technology team, you will lead the strategic evolution of our brand and practitioner-facing websites portfolio into an AI-Native, Human-Led ecosystem. You wlll be responsible for transforming our digital presence from static experiences into an intelligent, agentic web where Al is an extension of the user's intellect. Your mandate is to lead the shift from traditional development cycles to rapid-innovation, spec-driven environment where brand vision is machine-readable and executable by agents.

You'll own the roadmap, the user experience, the design partners and pilot programs.

This is an IC role for a builder who thinks in agents. You use coding agents (Claude Code, Cursor, Codex, etc.) daily and have a point of view on where they're going. You prototype before you spec. You treat an agent like a co-worker — not a tool you prompt once and forget, but a collaborator you brief, course-correct, and build trust with over time. You know how to set context, divide work, and close the loop when an agent goes off the rails. You've built and evaluated agents yourself, and you have opinions about what makes agent optimization actually work — evaluation harnesses, annotation flows, failure clustering, and the feedback loops that turn raw session data into product intelligence.


What You'll Do

Own the product end to end

  • Set and own the roadmap, outcomes, and product strategy for our brand and role-based websites. 
  • Own the user experience. Partner with design to build sites that our business partners, customers, and communities trust and reach for, not one they tolerate.
  • Set and defend success metrics (pilot activation, failure-cluster coverage, recommendation acceptance, agent quality lift) and use them to make real trade-offs. Kill what isn't working.



Build, don't just describe

  • Prototype with coding agents to pressure-test ideas before writing a spec. A working demo beats a 10-page doc.
  • Dogfood the product constantly. Run it against real customer data. Break it. Eval it. Bring receipts.
  • Stay close to the code and the runtime. Read the traces. Understand the eval harness. Sit next to engineering during discovery.



Run the customer program

  • Run the design partner program directly. Lead pilot calls, extract requirements, turn customer pain into shipped product.
  • Bring the customer voice into every product decision. Distinguish real needs from workarounds, one-offs, and badly framed requests.



Move fast and coordinate across the portfolio

  • Push a fast-paced environment. Ship the smallest thing that works, learn, iterate.
  • Coordinate with peer PMs across Digital Marketing Terchnology — the runtime, the authoring surfaces, evaluation, and the broader Observability portfolio —  fits into the ADLC as one coherent story.
  • Communicate clearly with engineers, designers, execs, and business partners. Bring a point of view and change your mind when the data says to.

Required Qualifications

  • Product Management Experience: 5+ years of experience shipping products for technical users (developers, admins, or SMEs). Proven track record of scope and impact in an enterprise or startup environment.
  • AI & Coding-Agent Fluency: Daily user of coding agents (Claude Code, Cursor, etc.). Substantive knowledge of LLM orchestration, tool use, and evaluation frameworks (evaluation harnesses, annotation flows, failure clustering).
  • Builder and Execution Mindset: Comfortable with ambiguity and biased for action. You prototype early to pressure-test ideas and turn fuzzy problems into sharp bets with measurable outcomes.
  • Communication & Cross-functional Leadership: Strong written and verbal communication skills. Ability to rally teams across engineering, design, and operations while holding your own with executives.
  • Customer Empathy at Scale: Ability to synthesize signals across a design partner cohort and distill customer pain into crisp product requirements and shipped products.

Preferred Qualifications

  • Bachelor's degree in a technical, business, or analytical discipline.
  • Engineering background, or the equivalent hands-on depth — comfortable reading code, reviewing APIs, prototyping in a notebook, and partnering with engineers on real trade-offs.
  • Direct experience with the current agent-building and eval landscape (Cursor, Claude Code, Replit, LangSmith, Braintrust, Langfuse, agent frameworks, headless CMS) and strong opinions on what they get right and wrong.
  • Experience with websites, customer-facing pilot or design-partner programs for early-stage AI products.
  • Prior experience on a 0-to-1 or innovation team.
  • Design sense: can turn messy systems into clean primitives with opinionated defaults.
  • Experience operating with autonomy in a highly cross-functional environment, including executive, technical, and go-to-market stakeholders.
  • Experience with CRM and Marketing Technology ecosystems, Web design, Slack, and Contentful.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.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.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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À propos de Salesforce

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