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Description and Requirements
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
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
Additional Locations : * Germany
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.
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.
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