Service Line Sales Specialist - IoT & Engineering Services
We are looking for a consultative problem-solver with deep IoT and Engineering expertise to lead sales & business development for a select portfolio of accounts within our IoT and Engineering Services Practice.
Expertise in one or more of these key domains: Industrial and Process Manufacturing, Transportation and Logistics, MOM/MES/WES, Asset Performance Management, Digital Thread, PLM, Product Engineering, Physical AI and ER&D.
About Cognizant’s IoT & Engineering Services Practice
IoT and Engineering is one of Cognizant’s fastest-growing practices. IoT fuses the physical and digital worlds, connecting enterprises, extracting intelligence and propelling autonomy. We help clients modernize quickly, re-invent their operations, build innovative experiences and create next-generation products, delivering sustainable revenue growth, optimized margins and improved valuations.
Service Line Sales Specialist
The Service Line Sales Specialist will drive growth through consultative selling of AI-led transformation solutions, with emphasis on Physical AI, intelligent automation, industrial AI, digital twins, robotics, IoT, edge computing and data-driven operations across manufacturing, logistics, energy, healthcare, retail and technology clients.
Candidates must demonstrate ecosystem-led selling with partners such as Microsoft, AWS, NVIDIA, Siemens, PTC, Databricks, AVEVA and SAP; build outcome-based business cases; identify emerging opportunities; and position Cognizant around autonomous operations, AI-native enterprises and next-generation digital engineering.
Some of your tasks may include
· Build the growth strategy and pipeline plan for offerings across the key domains
· Own sales, business development and the end-to-end sales process, achieving annual revenue and booking targets
· Manage the account plan with the client partner, strengthening existing and building new strategic relationships
· Lead proactive proposals and RFPs aligned to account strategy
· Partner with internal leaders and Delivery Teams to shape solutions and validate cost and scope
· Collaborate with industry vertical teams and build long-term executive relationships in a matrixed organization
We would like you to have the following experience
· Proven business growth/sales track record in one or more industry verticals: Manufacturing/ Transportation/ Logistics / Comms Media / Education / Technology
· Ability to influence stakeholders up to the C-Suite, with strong communication and executive presentation skills
· Strong technical skills and consultative selling ability
· Knowledge of IoT and engineering industry trends and customer pain points; consulting experience and thought leadership are highly desirable
Key skills:
AI and technology
· AI and Physical AI market understanding
· Generative and Agentic AI business use cases
· Digital Twin and simulation-led transformation
· IoT, OT/IT convergence and Edge AI
· Data and AI platform strategy
· Automation, robotics and autonomous operations trends
Industry knowledge
· Industry 4.0 and Smart Manufacturing
· Domain expertise in one or more vertical- Manufacturing, Logistics, Energy, Healthcare and Retail
Commercial and leadership
· Executive value selling and CXO engagement
· Ecosystem and alliance-led sales (AWS, Microsoft, NVIDIA, Siemens, PTC, Databricks)
· Outcome-based consulting and business case development
· Large deal pursuit and transformation program leadership
· Commercial modelling and growth strategy
· Innovation workshops and cross-functional orchestration across consulting, engineering, cloud and operations
关于高知特 (Cognizant)
高知特(Cognizant)(纳斯达克代码:CTSH)作为一家AI Builder和相关技术服务提供商,致力于通过打造全栈AI解决方案,帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长,将企业独特的业务场景融入科技系统,赋能组织释放人才潜能,推动切实成果,并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情,敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外,候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中,您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。







