Forward Deployed (Value Acceleration) Consultant

Location: New Jersey - New York City Metro - Remote

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 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 andbe your best, and our AI agents accelerate your impact so you cando 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.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

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Posting Statement

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In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $148,500 - $223,900 annually

There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $178,900 - $246,000 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Additional Locations: Indiana - Chicago Metro - Remote