Job Description

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 familys health through lifes expected and unexpected events.

Our Benefits Include:

• Competitive Salary + Stock Options
• Health Care Coverage + Life Insurance + Health Savings Account + Flexible Spending
• Account (includes spouse + children)
• Flexible Vacation Policy
• Adaptable Working Schedule and Environment
• Our Perks Include:
• Casual Dress Attire
• Hybrid work flexibility
• Catered Lunches, Snacks and Beverages
• Commuter Savings Program
• Company Outings
• Designated Volunteering Hours + Group Volunteer Events

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, Inc.

Sight Machine strengthens manufacturers by providing the industrys 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.

About the role

As a Manufacturing Outcomes Engineer, you will use Sight Machines category-defining Manufacturing Data Platform to drive Industrial AI and firmwide digital transformation for some of the worlds most iconic manufacturers and technology providers, including industry leaders like Microsoft, Siemens, and Databricks. If you are interested in complex solution-finding, strong communication skills, and ever-deepening subject matter expertise in manufacturing, AI/ML, and cutting-edge technologies, please apply for this position. You will drive sustainability and game-changing results for global leaders in manufacturing and continuously develop your skills as a pioneer in the Data Era.

Why Join our Professional Services Outcomes Team

Our team is a hungry, humble, smart group of outcomes leaders, data scientists, data architects and engineers, software developers, and customer engagement managers who collaborate to solve some of the most complex challenges facing our manufacturing customers. We are laser-focused on trusting and empowering each other, solving todays problems (while knowing tomorrow will bring a few more), and getting a little better every day.

What you will do

• Lead the design and implementation of solutions leveraging the Sight Machine platform, ensuring alignment with customer needs, business objectives, data infrastructure, and data foundation strategy.
• Serve as the initial technical lead for Sight Machine platform delivery for large manufacturing enterprises and guide data architects, data engineers, and partner delivery organizations in how to drive solutions throughout the customer lifecycle: discovery, implementation, expansion, and ongoing support.
• Conduct thorough walkthroughs of client manufacturing facilities to gain insights into their processes, challenges, and opportunities for improvement.
• Lead the execution of implementation plans, coordinating with cross-functional teams to ensure timely and successful delivery.
• Monitor and report on the progress of implementation projects, adjusting strategies as necessary to meet project goals and timelines.
• We serve complex enterprises, and you will support Sight Machines Go-o-Market teams and Directors of Customer Outcomes in working simultaneously with client-side plant floor operations, IT, data science, business intelligence, and leadership. You will also serve as a key stakeholder in how we coordinate among those groups and work with delivery, system integration, and sales partners, inside our company and across an ecosystem.
• Collaborate with our Sight Machine Data Science team to design, implement, and mature advanced analytics using AI/ML.
• Continuously update knowledge and skills in manufacturing technologies, project management methodologies, and leadership trends to stay at the forefront of the industry.

This position requires up to 40% domestic and international travel to client business and factory sites to kick off engagements, walk factory floors, and lead on-site strategy sessions. The frequency of travel will vary depending on the client.

Qualifications

• Expertise in delivering and advising in a manufacturing environment, with a proven track record of improving manufacturing processes and outcomes
• Expertise in the use of modern data technologies and experience working with data engineers and data scientists
• Strong senior client management skills with executive-level communication expertise
• Strong consultative skills, including analytical ability and problem-solving skills
• Ability to work independently and collaboratively with other teams to achieve goals and represent the business
• Experience in implementation & change management

Also helpful, but not required

• Experience with data science in the manufacturing context
• Experience with enterprise software sales support

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