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 + 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 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.

About the role

As a Director of Customer Outcomes, you will use Sight Machine’s category-defining Manufacturing Data Platform to drive Industrial AI and firm-wide digital transformation for some of the world’s most iconic manufacturers and technology providers, including industry leaders such as Microsoft, Siemens, and Databricks.. If you are interested in synthesizing interpersonal leadership, 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 Sight Machine’s Services Team

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

What you'll do

• As a primary focus, working to comprehensively provide tangible value to our manufacturing customers by matching our systems, analyses, tools, and services to ideal manufacturing outcomes

• Lead the strategy of Sight Machine platform delivery for large manufacturing enterprises through the customer lifecycle: discovery, implementation, expansion, and ongoing support

• Guiding our storytelling; helping our customers understand how our work, strategy, and prioritizations drive value and lead to their outcomes goals

• We serve complex enterprises and you will work simultaneously with client-side plant floor operations, IT, data science, business intelligence, and leadership as well serve as key leader in how we coordinate among those groups as well as 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

• Collaborate with product and platform engineering teams to define and optimize new features at scale

• Assume a leadership role within the Sight Machine Services team, managing direct reports and serving as a senior advisor on manufacturing context and outcomes strategy across the company

• This position requires up to 50% domestic and international travel to client business and factory sites to kick-off engagements, walk factory floors, and lead onsite strategy sessions. The frequency of travel will vary based on the client
  
  

Qualifications

• Expertise in providing consulting services in a manufacturing operations context

• 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

• Ability to work independently and collaboratively with other teams to achieve goals and represent the business

• Strong consultative skills, including analytical ability and problem-solving skills

• Strong people management and mentorship skills

Also helpful, but not required

• Experience with data science in the manufacturing context

• Experience with enterprise software sales support