Life Sciences AI Solutions Consultant

Salesforce, Inc.

Oregon

Hybrid

USD 149,000 - 224,000

Full time

6 days ago

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Job summary

Salesforce is seeking a Forward Deployed Consultant for Life Sciences AI to design, implement, and optimize automated business processes using Agentforce and Life Sciences Cloud. You will own the blueprint roadmap, drive scalable accelerators, and partner with Life Sciences teams, engineering, and SI partners to deliver AI-native solutions in regulated environments.

You will translate business needs into PRDs and user stories, lead agile delivery, and ensure go‑live readiness with thorough

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.

Responsibilities

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.
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.
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.
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.
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.