ConvergeHEALTH Life Sciences - Product Forward Deployed Engineer- Innovation_Delivery_Transformation
The Innovation & Delivery Transformation (I&DT) team is building the future of Deloitte's business through new AI-native platforms and products. The team identifies, nurtures, scales, and wins in new markets by investing in areas where growth is expected three, five, and ten years into the future. This role is aligned to the Converge for Life Sciences portfolio, Deloitte's AI-enabled platform for the modern life sciences enterprise. Converge by Deloitte combines proprietary data assets, advanced analytics, and AI-driven decision intelligence to help pharmaceutical, biotech, and medical product organizations accelerate discovery, development, and commercialization while improving compliance and operational visibility.
This role is 100% dedicated to FastForward, the flagship commercial-engagement offering within the portfolio. Delivered as a Managed Platform-as-a-Service (MPaaS) for Salesforce Life Sciences Cloud (LSC), FastForward stands up a fully configured, AI-ready commercial org for mid-market life sciences companies in weeks rather than quarters. It pairs a standardized 90/10 configuration model (90% pre-built, 10% client-tailored) with a Deloitte managed-operations team, providing enterprise-grade field capabilities without enterprise-scale build cost or complexity.
About the role
As a Product Forward Deployed Engineer (pFDE), this role is the technical engine of the FastForward pre-sales cycle. Working across Product Management, Engineering, Account, and Pursuit teams, and in partnership with the FastForward Sales Executive, the pFDE builds and leads product demonstrations, proves technical fit and feasibility, and translates client workflows into credible solution approaches that move opportunities from qualification through proof of value.
Responsibilities
- Lead technical discovery sessions with prospective clients, alongside account, pursuit, and product teams, to understand commercial workflows, data, integration needs, and success criteria for Salesforce Life Sciences Cloud.
- Independently qualify product fit and feasibility, distinguishing standard FastForward capability (the ~90% pre-built configuration) from client-specific customization, and determine whether an opportunity stays product-led or is routed elsewhere.
- Partner closely with the FastForward Sales Executive to shape opportunities, sequence pursuit milestones, and resolve technical objections throughout the sales cycle.
- Build, own, and lead FastForward product demonstrations end-to-end, configuring demo environments, tailoring scenarios to the client's therapeutic area and field roles (Reps, MSLs, KAMs, and FRMs), and presenting to both technical and business audiences.
- Independently stand up and configure demo orgs and proof-of-concept environments, including FastForward's pre-configured commercial modules and embedded Agentforce intelligence (summarization, Next Best Action, and pre-call planning).
- Run fit-gap assessments and proof-of-value exercises that give prospects a credible, hands-on view of the platform before contracting.
- Develop credible solution approaches and technical narratives in partnership with account, pursuit, product, and engineering teams.
- Serve as the technical bridge between the field and the product organization, feeding client requirements, objections, and market signals back to Product Management and Engineering to inform the FastForward roadmap.
- Support account teams with technical inputs to proposals, scoping boundaries, and transition-to-delivery clarity so qualified opportunities hand off cleanly.
- Build reusable technical assets, reference configurations, and demo scripts from pursuit work to scale the team without rebuilding from scratch each time.
- Develop go-to-market and strategic documentation that supports pursuit strategy and product positioning.
- Share demonstration and technical best practices with newer pFDEs and pursuit-team members, raising the technical bar across FastForward pre-sales.
Requirements
- Bachelor's degree in Business, Life Sciences, Engineering, Computer Science, or a related field, or equivalent professional experience (4+ additional years of relevant work experience in lieu of a degree).
- 4+ years of professional experience in solution consulting, sales engineering, technical pre-sales, forward-deployed engineering, or comparable client-facing technical roles, with demonstrated ability to operate independently.
- Hands-on technical experience configuring or building on Salesforce (e.g., administrator-level configuration, flows, validation rules, and other declarative/point-and-click tools), sufficient to build and run product demonstrations without engineering support.
- Experience independently building and delivering 5+ product demonstrations, proofs of concept, or comparable client-facing technical deliverables.
- Experience supporting the pre-sales cycle, including technical discovery and translating client needs into solution approaches.
- Demonstrated ability to distinguish standard product capability from custom work and communicate that distinction clearly to technical and non-technical stakeholders.
- Strong collaboration skills across Product Management, Engineering, Account, and Pursuit teams, including experience working directly with sales professionals in a pursuit setting.
- Ability to travel 20-25%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred Qualifications
- Hands-on experience with Salesforce Life Sciences Cloud, Health Cloud, or Veeva CRM, and familiarity with the Salesforce-Veeva CRM transition affecting mid-market life sciences.
- Prior hands-on experience in the client delivery and implementation of field force technology such as Veeva CRM, IQVIA OCE, or Salesforce.
- Experience with Salesforce Agentforce or comparable AI-agent/GenAI capabilities embedded in enterprise applications.
- Experience in life sciences or healthcare commercial technology environments (e.g., CRM, field engagement, patient services, or market access).
- Prior experience as a Managed Services Consultant leading full-cycle technology implementation projects, ideally within Life Sciences Commercial or Customer engagement platforms.
- Prior experience stepping in after go-live to provide ongoing admin support, acting as the product specialist for clients already live.
- Experience building reusable demo assets, reference configurations, or accelerators for a product or pursuit team.
- Familiarity with data loading, integration patterns, and CRM data models common to life sciences commercial operations, as well as CLI-based deployment or configuration-as-code approaches.
Skills
- Clear, audience-aware communication: explains technical concepts credibly to both technical and business stakeholders and tells a compelling product story in a live demo.
- Strong organization and prioritization: manages multiple concurrent pursuits and demo builds at once, and sequences competing priorities well.
- Collaborative, team-first mindset: works fluidly across Sales, Product Management, Engineering, Account, and Pursuit teams, and is comfortable being the connective tissue between the field and the product organization.
- Self-directed ownership: drives demos and technical qualification end-to-end and moves work forward without needing close direction.
Pay
The wage range for this role is $105,400-$207,800. The range considers factors such as skill sets, experience, training, licensure, certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range, and compensation decisions depend on the facts and circumstances of each case. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, where an award, if any, depends on various factors, including individual and organizational performance.