Forward Deployed (Value Acceleration) Consultant

Salesforce•Washington, DC

5d•$148,500 - $246,000

About The Position

The Forward Deployed (Value Acceleration) Consultant — Life Sciences AI designs, implements, and optimizes automated business process solutions ("Blueprints") using Agentforce and Life Sciences Cloud (LSC). The role owns the roadmap and feature lifecycle for scalable, reusable accelerators intended to deliver measurable value for Life Sciences customers. Working with customer-facing Life Sciences teams, Engineering, GDC delivery resources, and Design, the consultant transforms manual and fragmented workflows in Pharma, Biotech, and MedTech into automated, AI-native solutions suited to regulated industries. The position combines customer engagement, process and solution design, product delivery, and cross-functional collaboration. Success is measured by efficiency improvements and reductions in manual work, blueprint adoption and business value, the impact of roadmap feedback on platform improvements, time-to-value and scalability of deployments, and customer satisfaction and engagement.

Requirements

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 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 skills, including the ability to explain complex ideas clearly to 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.

Nice To Haves

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, including APIs, platform services, and Data Cloud.
Understanding of Life Sciences regulatory and compliance requirements such as GxP, HIPAA, and 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.

Responsibilities

Own the roadmap for Life Sciences process blueprints and AI-native accelerators, balancing strategic direction with near-term execution across the LSC portfolio.
Own the feature lifecycle for Life Sciences-specific blueprint components from discovery through launch and iteration.
Identify operational inefficiencies, manual processes, and automation opportunities across Life Sciences 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 AI-native solutions.
Build solution blueprints and workflow automations using Agentforce and LSC platform capabilities.
Work with AI agents and prompting tools to design automated, enterprise-grade solutions for regulated Life Sciences environments.
Validate, test, and iterate blueprints for accuracy, consistency, and performance against customer acceptance criteria.
Translate strategic goals and customer requirements into PRDs, user stories, and technical acceptance criteria.
Manage the product backlog, prioritize sprints, and drive delivery using Agile methodologies.
Document solution architecture, demonstrations, and implementation guidelines, including Steel Thread validation for go-live readiness across Hub accounts.
Conduct user interviews and quantitative analysis to understand customer pain points and identify accelerator opportunities.
Represent Life Sciences customer needs in the Agentforce development process and provide structured insights to Product Engineering and the Hub product feedback loop.
Partner with Engineering and Design to ensure technical feasibility and intuitive user experiences for Life Sciences personas.
Provide Product Managers with structured feedback on feature gaps related to Life Sciences scalability and compliance requirements.
Support rollout and enablement of blueprint solutions across Hub teams, GDC delivery resources, and SI partners.
Collaborate across the Ecosystems pillar on partner readiness and SI blueprint adoption.