Retail Solutions Sales Executive m/f/d - Store Modernization, Managed Services & Retail AI (SSG)

Lenovo
Lenovo

Software Engineering, Sales & Business Development, Data Science

Stuttgart, Germany

Posted on Jun 30, 2026

General Information

Req #
WD00100120
Career area:
Sales
Country/Region:
Germany
City:
Stuttgart
Date:
Tuesday, June 30, 2026
Working time:
Full-time
Additional Locations:
* Germany

Why Work at Lenovo

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 www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements


Description and Requirements

Retail Solution-Led Sales & Customer Development

• Identify, develop and progress Retail opportunities across store modernization, managed services, store edge, endpoint lifecycle, observability, cybersecurity and Retail AI

• Engage senior customer stakeholders across CIO, CDO, COO, store operations, field leadership, merchandising, digital, omnichannel and supply chain functions

• Translate customer pain points into structured solution opportunities linked to outcomes such as shrink reduction, uptime, in-stock availability, associate productivity and queue reduction

• Lead consultative discovery conversations to understand store workflows, field operations, technology constraints, data flows and operating models

• Develop lighthouse customer opportunities that prove measurable value and can scale into multi-site, multi-region or chain-wide deployments

Opportunity Shaping & Commercial Execution

• Own qualified Retail solution opportunities from discovery through proposal, pilot, commercial negotiation and scale-up

• Work with the Retail Vertical Leader to prioritize high-value opportunities, target accounts, partner plays and sub-vertical focus areas

• Partner with account teams, global account managers and regional sellers to build coordinated customer engagement plans and solution-led pipeline

• Coordinate with Solutions Architects, Offering Development, Product, Engineering, Delivery and Pricing teams to shape executable proposals

• Support pilots, proofs of value and phased rollout models that create a clear path from initial deployment to broader store fleet adoption

Retail Use Cases, Value Models & Offering Feedback

• Bring market and customer insight back into the Retail vertical team to refine Lenovo’s Retail plays, offerings and go-to-market priorities

• Contribute to repeatable use-case narratives, value models, customer pitch materials, sales enablement assets and reference architectures

• Capture learnings from lighthouse customers and pilots to improve packaging, pricing, delivery assets and partner motions

• Help define measurable success metrics for key Retail solutions, including store uptime, shrink reduction, shelf availability, queue reduction and associate productivity

• Ensure Retail AI opportunities are grounded in operational value, deployment feasibility and ongoing manageability rather than technology-led experimentation

Partner & Cross-Functional Collaboration

• Support partner and co-sell motions with POS/payment ISVs, networking and SD-WAN providers, observability platforms, video/computer vision partners, hyperscalers, SIs and MSPs

• Act as a bridge between customer needs, account teams, the Retail vertical team and Lenovo’s broader SSG organization

• Collaborate with Offering Development, Solutions Architecture, Delivery and Managed Services teams to translate customer requirements into scalable solution designs

• Support Marketing and Enablement teams with customer stories, solution narratives, industry insights and campaign inputs

• Contribute to internal alignment across global and regional teams to support repeatable Retail execution

Operational Excellence

• Build and manage a high-quality Retail solutions pipeline aligned to Lenovo’s strategic focus areas

• Provide visibility into pipeline health, lighthouse opportunities, key risks and required executive support

• Use customer feedback, market signals and deal learnings to improve Lenovo’s Retail go-to-market approach

• Maintain focus on opportunities that can scale beyond single-customer projects into repeatable Retail offerings

• Support the Retail Vertical Leader in tracking solution adoption, revenue contribution, partner traction and customer impact

What success looks like in 12–24 months

• A strong, qualified Retail solution pipeline across store modernization, managed services and Retail AI

• 2–3 lighthouse customer opportunities converted from discovery or pilot stage into scalable commercial deployments

• Measurable customer value demonstrated in areas such as shrink reduction, store uptime, in-stock availability, queue reduction, associate productivity or security resilience

• Repeatable sales plays and customer narratives created for priority Retail use cases

Basic Qualifications

• 8–12+ years of experience in Retail technology sales, solutions sales, consulting, managed services, industry solutions or enterprise technology roles supporting Retail customers

• Proven experience engaging with Retail business and technology stakeholders, including store operations, digital/omnichannel, field leadership, IT, infrastructure, security or supply chain teams

• Strong understanding of store technology environments, including POS and peripherals, store edge, networks/connectivity, endpoints, device lifecycle, observability, cybersecurity and support models

• Demonstrated ability to develop and progress complex, multi-stakeholder solution opportunities from discovery through proposal and commercial close

• Strong commercial acumen and executive communication skills, with the ability to connect technology capabilities to customer business outcomes, value drivers and ROI

Preferred Qualifications

• Experience with large retail organizations across grocery, fashion, specialty retail, convenience, pharmacy, department stores, e-commerce or omnichannel retail

• Experience with store modernization, managed services, endpoint lifecycle services, network modernization, retail infrastructure or store support models

Women who drive Lenovo? #Women@Lenovo Women at Lenovo


The salary lies above the minimum salary defined by “Kollektivvertrag Handel”.
At Lenovo we are proud to be an equal opportunity company. This vacancy certainly applies for people with disabilities, too.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

Additional Locations:
* Germany
* Germany

AI PROCESSING NOTICE
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.