Responsibilities
Roadmap and Solution Ownership
Own the roadmap for Life Sciences process blueprints and AI-native accelerators, balancing strategic direction with near-term execution needs across the LSC portfolio
Own the feature lifecycle for LS-specific blueprint components from discovery through launch and iteration
Identify operational inefficiencies, manual processes, and automation opportunities across Life Sciences customer workflows — including HCP/HCO engagement, field force, clinical operations, and revenue cycle
Blueprint Design and Execution
Partner with Life Sciences customer-facing leaders to map and analyze customer requirements for new AI-native solutions
Build solution blueprints and workflow automations using current Agentforce and LSC platform capabilities
Work directly with AI agents and prompting tools to design automated, enterprise-grade solutions appropriate for regulated Life Sciences environments
Validate, test, and iterate blueprints for accuracy, consistency, and performance against LS customer acceptance criteria
Technical Specification and Delivery
Translate high-level strategic goals and Life Sciences customer requirements into clear PRDs, user stories, and technical acceptance criteria
Manage the product backlog, prioritize sprints, and drive consistent delivery using Agile methodologies
Document solution architecture, demonstrations, and implementation guidelines — including Steel Thread validation in support of go-live readiness across Hub accounts
Customer and Market Research
Conduct user interviews and quantitative analysis to understand Life Sciences customer pain points and identify accelerator opportunities
Act as the voice of the LS customer within the Agentforce development process, feeding structured insights to Product Engineering and the Hub's product feedback loop
Cross-Functional Collaboration
Partner with Engineering and Design to ensure technical feasibility and intuitive user experiences for Life Sciences personas
Provide structured feedback to Product Managers on feature gaps needed to support LS-specific scalability and compliance requirements
Support rollout and enablement of blueprint solutions across Hub teams, GDC delivery resources, and SI partners (Deloitte, Slalom, and others)
Collaborate across the Ecosystems pillar on partner readiness and SI blueprint adoption
Required Qualifications
3 to 8+ years of experience in Product Management, Process Automation, Business Analysis, or Solutions Consulting
Experience building or deploying external-facing products in enterprise B2B SaaS environments
Strong understanding of business workflow mapping, process modeling, and process improvement methodologies, with demonstrated application in Life Sciences or a regulated industry
Proven experience translating business requirements into structured automated workflows or solutions
Hands-on technical experience with automation tools, workflow builders, AI prompting, or low/no-code platforms
Excellent spoken and written communication with ability to present complex ideas clearly to both technical and non-technical Life Sciences stakeholders
Proven ability to collaborate with virtual and global cross-functional teams including engineering, design, and customer success
Rigor and consistency in managing product backlogs and executing delivery
Preferred Qualifications
Experience in Life Sciences commercial operations, HCP/HCO engagement, field force automation, or clinical operations technology
Experience with Salesforce Life Sciences Cloud (LSC), Agentforce, or comparable CRM/AI platforms in regulated industries
Experience with prompt design or agent-based automation solutions
Familiarity with the Salesforce platform ecosystem (APIs, platform services, Data Cloud)
Understanding of Life Sciences regulatory and compliance requirements (e.g., GxP, HIPAA, GDPR) as they relate to CRM and workflow automation
Experience with network effects and cold start strategies for enterprise B2B solutions
Lean, Six Sigma, or related process improvement certification
Pharma, Biotech, or MedTech industry background strongly preferred
Success Metrics
Efficiency improvements and measurable reduction in manual work for Life Sciences customers
Blueprint adoption, usage outcomes, and business value delivered (e.g., cost savings, field force productivity, HCP engagement improvement)
Quality and clarity of roadmap feedback influencing LSC and Agentforce platform improvements
Time-to-value and scalability of LS-specific solution deployments
Customer satisfaction and depth of engagement with deployed solutions across the LSC portfolio
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.
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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.
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 $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
