Solutions Engineer

3 weeks ago


Houston, United States Noble.AI Full time

At NobleAI, we believe that material science and chemistry are key to building a sustainable world and that artificial intelligence is essential to unlock this potential. NobleAI uses our innovative and unique Science-Based AI technology to transform current materials development strategies. Together as a team, NobleAI is committed to enabling companies to reduce the cost and accelerate the development of better performing, more environmentally sustainable and reliably sourced chemical and material products.

As we continue to grow our team, we pay careful attention to finding the best fit for the role and the team. Teamwork, trust and transparency motivate us to innovate and act with speed, which allows us to deliver value to our customers. We are committed to acting with integrity in every interaction with our fellow team members. For our customers, we will deliver real, recognizable and sustained value.

We are looking for a Solutions Engineer to assist with the selling of complex scientific and technological products or services. The Solutions Engineer will work alongside the Sales, Product, and AI/Research teams to help understand customer requirements and deliver value. This role will be expected to possess an in-depth knowledge of our product offering and be able to relate this knowledge to prospective customers.

The successful candidate is a highly skilled Solutions Engineer preferably with experience in enterprise software and professional services. Many of our customers and technical engagements are in the Chemistry field, so a background in Chemistry is preferred. You should be driven to achieve sales goals and have excellent sales and customer success skills.

Requirements

Key Responsibilities

  • Scope, prioritize, and deliver compelling science-based AI use cases that drive business value for NobleAI customers and prospects
  • Present technical use cases of NobleAI Reactor Platform to prospective customers
  • Lead and perform implementation activities in collaboration with team members from AI/Research, Product, and Engineering
  • Develop demonstrations of NobleAI technology for prospective customers
  • Ingest, structure, and prepare scientific data for machine learning applications
  • Ensure successful delivery to our customer (e.g., functional scoping, application and data integration quality assurance, deliver trainings, issue debugging and resolution)
  • Support the Sales Account Executives with solution selling into prospect account base
  • Support NobleAI customers by providing best-in-class data science services and education
  • Create and deliver powerful presentations and demos that clearly communicate the uniqueness of the value proposition
  • Travel to customer sites and attend industry events (approximately 50% average)
What We're Looking For
  • BS/BA in Chemistry, Computer Science, Engineering, or related field; MSc or MBA preferred
  • 5-7 years of experience leading complex enterprise SaaS deployments
  • Proficient in Python and common data management, visualization, machine learning libraries and web frameworks (e.g. Django, pandas, scikit-learn, plotly)
  • Experience in data science and machine learning tools and concepts
  • Ability to successfully communicate and work with senior executive stakeholders
  • Effectively work across customer and internal teams to problem solve, define scope, write technical specifications, quantify and track success metrics, and manage against a plan
  • Demonstrated ability to navigate between the business and technical domains of a software implementation project, providing leadership in both
  • Excellent presentation, written, communication and interpersonal skills
Benefits

Did we mention we offer great pay & benefits?
  • Top tier health benefits coverage including medical, dental, vision, disability and life insurance
  • Generous Paid Time Off & Holidays
  • 401(k) plan with employer match
  • Equity Package
  • Salary Range $175k - $200k OTE (base + variable) per year, depending on experience & geographic location

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