Forward Deployed Engineer (FDE) – Marketing & Sales AI Transformation
Listed on 2026-07-30
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IT/Tech
IT Business Analyst, Business Systems & Technology Analysis, AI Engineer (Applied/Software), AI Business & Operations
* United States of America
- North Carolina
- Morrisville
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US $83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services.
Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our Story Hub .
Description and RequirementsRole Overview:
The Forward Deployed Engineer (FDE) is a hands-on AI engineer and transformation practitioner embedded within Marketing and Sales functions to accelerate Lenovo’s Solutions and Services Group's (SSG) AI-led Marketing & Sales transformation agenda.
This role partners with domain leaders to identify, build, and scale AI solutions across Market-to-Opportunity (M2O) and Quote-to-Cash (Q2C) processes — delivering measurable outcomes such as revenue growth, sales productivity, pricing optimization, and cycle time reduction.
The FDE operates in a sprint-based, execution-focused model, owning delivery from problem discovery to deployed solution and adoption, aligning with enterprise transformation priorities, governance, and value realization.
Key Responsibilities:
1. Business Discovery & Use Case Definition
- Embed within Marketing & Sales teams to assess end-to-end workflows across lead generation, pipeline management, pricing, quoting, and order fulfillment
- Identify high-value AI opportunities aligned to commercial KPIs and transformation priorities
- Translate business problems into scoped, executable AI use cases
2. AI Solution Build & Deployment
- Design and deliver AI solutions leveraging:
- Generative AI, Agentic AI, predictive analytics
- RAG pipelines, agent orchestration, and automation tools
- Rapidly prototype, test, and iterate within sprint cycles
- Deliver production-grade solutions integrated into existing enterprise systems (CRM, CPQ, ERP)
3. Commercial Transformation Impact
- Drive improvements across:
- Revenue velocity and pipeline conversion
- Quote-to-cash cycle time and deal execution
- Pricing optimization and sales effectiveness
- Enable digital transformation across sales, pricing, and revenue operations processes
4. Adoption & Change Enablement
- Ensure solutions are adopted, embedded, and scaled within business workflows
- Partner with business stakeholders to drive change management and user adoption
- Capture feedback and continuously enhance delivered solutions
5. Transformation Alignment & Governance
- Align delivery with SSG Digital Transformation roadmap, KPIs, and ROI targets
- Contribute to performance tracking, dashboards, and transformation scorecards
- Provide regular updates into program governance cadence (weekly reviews, Steer Co inputs)
6. Stakeholder Collaboration
- Act as a bridge between business stakeholders, IT, data platforms, and AI teams
- Communicate progress, risks, and trade-offs clearly across technical and non-technical audiences
- Support cross-functional alignment in complex, global environments
Qualifications:
- 5+ years of experience in software engineering, applied AI, or solutions engineering
- Strong knowledge of LLMs, prompt engineering, RAG, agent-based systems
- Integration experience with enterprise platforms (CRM, ERP, CPQ, APIs)
- Exposure to Marketing, Sales, or Revenue Operations domains
- Demonstrated ability to deliver measurable business outcomes and drive adoption
- Strong communication skills across business and…
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