Jobs
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Mental Health
•Parental Leave
•Learning Budget
•Healthcare
•401k
•Equity
•Mental Health
•Parental Leave
•Learning
Required Skills
Product Management
AI/ML
CRM
Data Analysis
Cross-functional Leadership
Job Category
Product
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. Our AI Research team is a powerhouse of brilliant minds — researchers, engineers, and product managers all working together to shape the future. Our approach to AI is anything but ordinary. We're all about diving deep, thinking ahead, and making things happen fast. We're not just pushing boundaries; we're breaking through them by crafting AI technologies that transform our company, empower our customers, and leave a mark on the world. With a commitment to trust, ethics, and innovation, we're the force behind the Customer 360 platform, setting standards and leading the way in AI advancements.
About the Role
We are seeking an experienced Senior Product Manager with a strong focus on AI-driven solutions for enterprises. In this role, you will lead the end-to-end product lifecycle, from ideation to execution, to turn ambiguous problems into end-to-end solutions. You will define clear objectives to deliver outstanding user experiences for various Salesforce personas and to deliver strong operational performance. You will collaborate closely with cross-functional teams, including research, engineering, UX, and other stakeholders to develop and deliver cutting-edge AI products tailored for specific verticals or business units. The ideal candidate has a proven track record of managing and delivering complex AI products, a deep understanding of AI, and experience working closely with engineering, customers, and sales teams. They have the ability to align product strategies with organizational goals.
Key Responsibilities
- Define and execute the product roadmap for AI-powered solutions within AI Research, ensuring alignment with business objectives and customer needs
- Collaborate with stakeholders to identify pain points and opportunities for AI-driven innovation, with a clear focus on customer impact, trust, and growth
- Translate high-level business requirements into detailed product specifications and actionable deliverables
- Lead cross-functional teams through the product development lifecycle, from concept to deployment, ensuring timely delivery of milestones
- Vibe-code prototypes and validate with customers and internal stakeholders
- Stay informed on the latest trends and advancements in AI
- Act as a key liaison between business, technical teams, and external partners to ensure clear communication and alignment
- Be tenacious and have a first-principles mindset for problem-solving and the ability to work through ambiguity
Required Qualifications
- 5+ years of experience in product management/development, with a proven track record of delivering complex technology products, preferably in Enterprise and AI
- Bachelor's Degree in Engineering, Computer Science, or a related field, or equivalent experience
- Strong understanding of artificial intelligence, machine learning, and their applications in operational settings
- Strong understanding of CRM applications, rules engines, and pricing applications
- Experience managing cross-functional teams, including engineering, design, and data science
- Excellent communication and stakeholder management skills, with the ability to articulate technical concepts to non-technical audiences
- Analytical mindset with experience in using data to drive product decisions and measure success
- Experience with the lifecycle of AI solution development, tuning, and experimentation is a significant advantage
- Familiarity with basic Python and web development and the ability to create quick prototypes are strong pluses
- Prior experience as solution engineer or Architect for Salesforce platform is a big plus
Benefits and Compensation
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.
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 $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Equal Opportunity 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.
Application Note
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.
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About Salesforce

Salesforce
PublicA cloud-based software company that provides customer relationship management software and applications.
10,001+
Employees
San Francisco
Headquarters
$243B
Valuation
Reviews
4.0
16 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
2.5
Career
3.0
Management
2.0
35%
Recommend to a Friend
Pros
Competitive compensation packages
Remote work flexibility
Good benefits (headphone/internet reimbursement)
Cons
Ongoing layoffs and job insecurity
Poor refresher/yearly stock grants
Condescending interview processes
Salary Ranges
45 data points
L3
L6
L7
Mid/L4
Director
L3 · Associate Product Manager
0 reports
$188,067
total / year
Base
-
Stock
-
Bonus
-
$159,857
$216,277
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Offer Rate
20%
Experience
Positive 20%
Neutral 20%
Negative 60%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview Panel
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
News & Buzz
Good pay but culture getting worse day by day
Compensation is decent but culture has shifted to high performance focus with constant reorgs and leadership changes
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NaNw ago
WLB not good & culture is getting changed day by day
Internal political situation deteriorating, frequent layoffs impacting remaining employees workload and wellbeing
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NaNw ago
Great work life balance but unclear career growth
WLB is great with flexible hours and remote-friendly policies, but promotion opportunities are very limited
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NaNw ago
Salesforce Interview Experience
Two technical rounds with friendly interviewers, tested on C, debugging, storage concepts, and algorithm problems
News
·
NaNw ago