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Strategic Initiatives Manager

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Any US City, USA - San Jose, CA

Not provided

Not provided

2 months ago

Job Description

Spirent Positioning Technology designs, manufactures, and supplies advanced satellite navigation test and simulation systems, many of which comprise radio frequency signal generators and computer systems running complex application software; all designed in-house. These systems are sold all over the world to high-profile organizations.

The successful candidate will join the strategic initiatives team, formulating and nurturing initiatives that become top agenda items for our business in the future. It takes basic understanding of finance, data-science, management, and technical know-how to succeed in the environment. Strategic insight is imperative, but results are what we are after. This position will report into the Director of Strategic Marketing.

The role will be primarily working from home/remote working, with occasional visits to Spirent's San Jose, CA office location and customer site locations, particularly in the US, as well as global.


Spirent. Promise. Assured.

Spirent is the leading global provider of automated test and assurance solutions for networks, cybersecurity, and positioning. Our innovative portfolio of products and services addresses the test, assurance, and automation challenges of a new generation of technologies: 5G, SD-WAN, Cloud, Autonomous Vehicles, and beyond. Each year we assure the promises that more than 1,500 customers worldwide make to their customers, spanning communications, transportation, government, defense, aerospace, financial services, healthcare, retail, and more. Our network, cybersecurity, and positioning experts work closely with customers to understand their needs and deliver solutions that cover their entire technology lifecycle, from the lab to real-world deployment.

 

Why Spirent?... Because together we can shape tomorrow

Spirent is its people! When you join the Spirent team, you will join forces and work alongside some of the most passionate and greatest subject matter experts in the industry. Here, you will find a place where you can grow, think, explore, create, and make change happen in an innovative and creative environment. Success is important to us, and so is your personal well-being. At Spirent, you will love the work and life balance experience!
Bachelor's degree in a relevant or closely related engineering/technology discipline, with Master's degree preferred. 5+ year's related experience in a high technology organization, to include 3+ years of customer facing, and market research experience. Demonstrated subject matter expertise in fields e.g., structured information extraction, object detection, action recognition, image segmentation, spatiotemporal modeling (hybrid CNN/RNN). Ability to help define strategies for large, ambiguous product areas and help guide the teams on how to maximize impact of those strategies by using data and research to create effective execution and experimentation frameworks. Experience building and/or managing one to many relationships with partners, including leading negotiations to establish partnerships and developing customer value propositions. Ability to identify, map, and articulate ROI to leadership. Ability to construct complex technical and commercial proposals. Ability to work independently, manage engagements of varying size. Good communication and presentation skills, both written and verbal. Problem-solving abilities. Ability to work and lead autonomously, exercising sound judgement in selecting methods and techniques, to reach desired outcomes. Willingness to travel globally, for around 25% of the time. Ability to write reports and business correspondence and effectively present information. Knowledge of Global Navigation Satellite Systems (GNSS) position, navigation and timing concepts, to include constellations and segments, navigation data, orbital parameters of space vehicles and GNSS reception challenges is preferred. Formal training in one or many of the following: computer vision, image processing, linear and non-linear programming, machine learning is recommended. Automotive simulation experience is a plus.

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