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Forward Deployed; Value Acceleration) Consultant

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Salesforce
Full Time position
Listed on 2026-10-23
Job specializations:
  • Business
    Business Systems & Technology Analysis, CRM Systems & Management
Job Description & How to Apply Below
Position: Forward Deployed (Value Acceleration) Consultant
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category Customer Success Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Forward Deployed (Value Acceleration) 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 Med Tech 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…
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