Solutions Engineer

Summary

Primary responsibility of this role will be to acquire new customers and grow business with existing Sight Machine customers, working as the primary technical communicator in the sales process. People best suited for this role have a background in data architecture, enterprise sales or solutions consulting for big data solutions with strong empathy and curiosity for the problem and people that they deal with. This role will work closely with other parts of Sight Machine’s GTM function such as Sales, Industry Solutions and Alliance Management.

In this role you will also engage deeply with Sight Machine’s product and professional services teams and work hand in hand with them to grow Sight Machine’s business with existing customers. You will bring a deep understanding of both the Customers goals, existing infrastructure, and the capabilities of Sight Machine to the table.

If you are looking to be part of a hungry, humble, smart go to market team that is at the forefront of growing Sight Machine’s business at a crucial inflection point then go ahead and apply!

Responsibilities

• Uncover business and technical challenges faced by the customer and be able to map them to the unique value of Sight Machine’s platform through targeted discovery sessions and workshops
• Work hands-on with customers and prospects to demonstrate and communicate the value of Sight Machine’s technology throughout the sales cycle from demo, to proof of concept, to design and implementation
• Confidently present and articulate the platform benefits, both business and technical, to all levels within an organization including executives, operations, IT and data science teams
• Understand competitive and complimentary technologies, vendors, and partners and learn how to position Sight Machine in relation to them
• Collaborate with product management, Industry Solutions, Marketing to help guide Sight Machine platform to industry wide adoption

Requirements

• Must have 5-10 years of experience in an enterprise sales and product marketing or solutions consulting role in the big data space
• Deploying on premise and cloud based solutions as well as experience with Linux, Python, various database technologies, and data pipelines are also keys to success in this role
• Experience in factory floor software technologies, including PLCs, MES, ERP, or data historians/data lakes is a major plus
• Strong customer facing skills, executive presence with the ability to build credibility and trust both with senior business executives and data/IT teams
• Ability to scale and translate best practices into trainable and coachable programs and materials for various internal teams
• Comfortable with global companies & interacting in multicultural environments
• Excellent written and verbal communication skills and strong emotional intelligence

Location

UK

Team Culture

Great things happen when people can bring their authentic selves to work. We empower all of our employees to share their perspectives, passions and experiences because collectively we make a better, stronger team. Our team members collaborate closely with peers & cross functional stakeholders throughout the business, our clients on the forefront of digital transformation, and the cutting edge of digital manufacturing thought leadership.

We take pride in our self-starter culture where employees are enabled and encouraged to achieve their professional goals through leadership guidance, learning and development. Our philosophy is that careers are continuous journeys, and we dedicate time and offer resources so that employees can reach their full potential.

Benefits + Perks

We value you at and outside of work and know your loved ones are important. Our benefits are designed to support you and your family’s health through life’s expected and unexpected events.

Our Benefits Include:

• Competitive Salary + Stock Options

• Health Care Coverage + Life Insurance (includes spouse + children)

• Pension Plan

• Flexible Vacation Policy

• Adaptable Working Schedule and Environment

• Remote work flexibility

Sight Machine is proud to be an equal opportunity employer and considers candidates regardless of age, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Sight Machine also considers qualified applicants regardless of criminal histories, consistent with legal requirements.

About Sight Machine

Sight Machine strengthens manufacturers by providing the industry’s only standard data model and system-level visualization capabilities. By integrating all crucial data into a single innovative platform, everyone involved in the fabrication process can visualize, contextualize and examine data in one intuitive interface.

Sight Machine is committed and mission-driven to improve lives, strengthen communities and make the world cleaner through continuously re-envisioning manufacturing processes - making them more efficient, sustainable and absolute.

Founded in Michigan in 2011 and expanded to San Francisco in 2012, Sight Machine blends the spirit of technology innovation and the down to earth style of Detroit manufacturing. Our team includes early leadership from Yahoo, Tesla Motors and Oracle. Together, we share wide industry knowledge and a commitment to advance manufacturing to a more sustainable future.

At Sight Machine, you will work with manufacturing leaders in the automotive, medical device, apparel, construction, and pharmaceutical industries. You will have access to, and work with massive amounts of factory floor data to help uncover insights on how customers make products and develop solutions to pressing business problems. The platform solves problems like Extract Transform Load (ETL), information retrieval, data aggregation and analytics, factory automation, distributed computing, and security. We place great value on professional, technical, and personal growth in an inclusive, collaborative environment. The ideal candidate will have a passion for technology and a strong can-do attitude.