Life Sciences AI Solutions Lead — Forward Deployed

Salesforce, Inc.

New Jersey

On-site

USD 140,000 - 190,000

Full time

4 days ago

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Job summary

Salesforce is seeking a Forward Deployed (Value Acceleration) Consultant - Life Sciences AI to design, implement, and optimize automated business process solutions across Life Sciences, leveraging Agentforce and Life Sciences Cloud.

You will own roadmaps, collaborate with customer-facing teams, and drive scalable accelerators that deliver measurable value in Pharma, Biotech, and MedTech, all while maintaining compliance with industry regulations.

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 in Life Sciences or regulated industries.
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 written and spoken communication with ability to present complex ideas clearly to 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 delivering results.

Responsibilities

Own the roadmap for Life Sciences process blueprints and AI-native accelerators across the LS Cloud portfolio.
Own the feature lifecycle for LS-specific blueprint components from discovery to launch.
Identify inefficiencies and automation opportunities across Life Sciences workflows.
Map and analyze customer requirements for new AI-native solutions with stakeholders.
Build blueprints and automations using Agentforce and LS Cloud capabilities.
Translate strategic goals into PRDs, user stories, and acceptance criteria.
Manage the product backlog, prioritize sprints, and drive delivery using Agile methodologies.
Document architecture and implementation guidelines for go-live readiness across Hub accounts.
Conduct user interviews and quantitative analysis to identify accelerator opportunities.
Collaborate with Engineering and Design to ensure feasible, usable experiences for LS personas.
Provide feedback on feature gaps to support LS scalability and compliance.