Forward Deployed (Value Acceleration) Consultant / Senior Consultant-2

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Job Category Software Engineering Job Details

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About the Role The Forward Deployed (Value Acceleration) Consultant / Senior Consultant — Life Sciences AI sits at the intersection of customer engagement and AI-native platform delivery. This role is responsible for designing, implementing, and optimizing automated business process solutions ("Blueprints") using Agentforce and Life Sciences Cloud (LSC) platform capabilities — while owning the roadmap and feature lifecycle for scalable, reusable accelerators that drive measurable value for Life Sciences customers. You will partner closely with Life Sciences customer-facing teams, engineering, GDC delivery resources, and design to transform manual, fragmented workflows in Pharma, Biotech, and MedTech into automated, AI-native solutions. You are customer-obsessed, execution-focused, and driven by the challenge of building solutions at the speed and quality that regulated industries demand. 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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