Job Description Summary

Want to be part of the next frontier of manufacturing and on the cutting edge of software innovation? GE is leading the way and as the worlds largest user of Additive Manufacturing is pushing the boundaries.

The VP of Software R&D is the cornerstone in the GE Additive software team P&L strategy and success

In this role you will lead a global Software group and work in close alignment with external and internal stakeholders in prioritizing and executing across full range of product activities to achieve the GE Additive business growth plans. This position is a global position and will report directly to GM of the Software P&L.

GE Additive's Software VP will be a visionary leader, with an entrepreneurial spirit, and strong interpersonal and managerial skills.

The successful candidate should have understanding and experience in building software such as: Design, 3D Printing, FEA, IoT, e-commerce, Analytics and PLM.

The successful candidate should be a servant leader and team player who empowers others to do their best work and is genuinely passionate about delivering products and services that work exceptionally well for people, with the desire and ability to be hands-on when needed. This leader will have experience in building and scaling best-in-class software teams and will lead by example with a “Can-Do” mentality and mindset.


Location is Waltham MA.
Relocation is not available.

Job Description

Who will be the right match for us?

• Visionary technological leader, with entrepreneurial spirit, strong interpersonal and managerial skills.
• Team player who is passionate about empowering their employees.
• Genuinely passionate about coding, cutting edge technologies, and being hands-on when needed.
• Experience in building and scaling best in class tech teams.
• A “Can-Do” mentality and mindset.
• B2B SaaS, CAD and Additive Manufacturing background.
• Proven experience to work and run globally distributed team

Responsibilities

• End-to-End responsibility for the company's R&D vision, performance, and deliverables
• Be both a highly technical authority and effective people manager
• Lead a Lean / Agile driven process
• Provide design and architecture leadership. Design and implement solutions and architecture for complex engineering problems
• Responsible for full lifecycle of the product, from planning, to development, to testing and to supporting the product in production
• Responsible for the development of cutting-edge, highly scalable software embedded with CAD, computer graphics, simulation, machine learning, computer vision, IoT, etc...
• Perform a full range of leadership responsibilities: interviewing, hiring, coaching and developing employees, assigning and directing work, driving performance management, managing unit budgets, tracking & improving R&D KPIs and more
• Management of global R&D team in multiple locations 

Requirements

• 12 years of hands-on industry experience in software development
• Proven experience in managing the development of multi components, multi layers, distributed systems (on premise and in the cloud)
• Independence & quick decision-making abilities, sound judgement for raising flags in time
• Ability to work under pressure and in a very dynamic environment
• Customer orientation
• Experience in new concept and product development as well as sustaining engineering
• Proven experience in Cloud products and platforms.
• Proven experience building and delivering cloud solutions based on WebGL and 3D experience with interfaces to CAD platforms
• Experience in Agile and Scrum methodologies.
• Passioned for technology & open source.
• Cross-platform knowledge (web, back-end, algorithms).
• Prior experience in working with cloud computing platforms (e.g. AWS, GCP) and solutions (Docker, Kubernetes)
• Prior experience in deploying and maintaining a production-grade backend system and/or RESTful API.
• Prior experience with Front-End platforms (e.g. Vue, Vueitfy).
• Familiarity with IIOT and Analytics concepts.
• Familiarity with Compute Vision concepts.
• Familiarity with Machine Learning and Deep Learning concepts.
• Familiarity with MES.
• Prior entrepreneurship experience is a plus

Additional Information