> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Forward Deployed (Value Acceleration) Consultant Canonical URL: https://nextmove.md/fde/jobs/c4b60a9c7f15c5c4 Salesforce posts a FDE role to plan what the customer deploys first, remote, hiring in New York, at $148,500–$246,000 base, level with the senior FDE median of $190,000 across 1,849 postings with pay. Owns the roadmap and feature lifecycle for reusable Life Sciences process blueprints and AI-native accelerators built with Agentforce and Life Sciences Cloud. Read from the employer’s posting on November 6, 2026. - [Salesforce](https://nextmove.md/fde/companies/salesforce) First seen Oct 21, 2026 · open on Workday as of Nov 6, 2026 **$148,500–$246,000** *annualized* Remote, hiring in New York Owns the roadmap and feature lifecycle for reusable Life Sciences process blueprints and AI-native accelerators built with Agentforce and Life Sciences Cloud. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fc4b60a9c7f15c5c4&placement=top) - [View posting at Salesforce](https://salesforce.wd12.myworkdayjobs.com/External_Career_Site/job/New-Jersey---New-York-City-Metro---Remote/Forward-Deployed--Value-Acceleration--Consultant_JR364817) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $149K–$246K Level with the median Midpoint $197K · median $190K This job $149K to $246K. Senior FDE postings, 1,849 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Plans what the customer deploys first Balance **Mixed** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations - **Coding**: Configuration only - **Builds for**: Both - **Level**: Senior - **Role**: Technical lead ### What they ask for Experience - **3+ years** Product Management, Process Automation, Business Analysis, or Solutions Consulting Background - **Consulting** ### Do you meet what the posting states? The posting asks for 3+ years. How many do you have? The posting reads as a senior role. What level are you at now? The work is remote from the US. Can you work from the US? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: New York, NY · Chicago Metro, Indiana - **Work arrangement**: Remote - **Remote work restrictions**: Remote; listed for the New Jersey–New York City metro and Indiana–Chicago metro areas. - **Pay**: ## More like this [Flume Health](https://nextmove.md/fde/companies/flume-health) ### [Forward Deployed Program Manager](https://nextmove.md/fde/jobs/6a82a94ae5b4741f) New York, NY Remote 2mo ago $130,000–$160,000 [Recidiviz](https://nextmove.md/fde/companies/recidiviz) ### [Deployment Strategist](https://nextmove.md/fde/jobs/a089a7ddeace423a) New York, NY · Oakland, CA Remote 11d ago $99,750–$117,600 [Pallet](https://nextmove.md/fde/companies/pallet) ### [Deployment Strategist (AI/ML Product)](https://nextmove.md/fde/jobs/4f98f6e7ae1e5bf2) San Francisco, CA · New York, NY On-site 2mo ago $150,000–$240,000 - [Other jobs at Salesforce (15)](https://nextmove.md/fde/companies/salesforce) ## The job description from Salesforce *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 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. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. 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. [View posting at Salesforce](https://salesforce.wd12.myworkdayjobs.com/External_Career_Site/job/New-Jersey---New-York-City-Metro---Remote/Forward-Deployed--Value-Acceleration--Consultant_JR364817) ## About Salesforce Salesforce sells CRM, data, integration, analytics and collaboration software now unified around Agentforce AI agents for enterprise customer workflows. 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