Customer Engineer, AI Solutions

nitra•Washington, DC

1d•Hybrid

About The Position

Nitra is seeking a highly technical, customer-focused Customer Engineer, AI Solutions to support its rapidly growing AI software platform business. This role is pivotal, operating at the intersection of Sales, Customer Success, Product, and Engineering. The primary objective is to ensure healthcare practices successfully evaluate, implement, adopt, and expand their use of Nitra's AI solutions. The position involves securing technical wins in new customer acquisitions and cross-sell opportunities, owning successful customer implementations to ensure rapid value realization, and acting as the voice of the customer to influence product roadmap decisions and enhance the overall customer experience. The ideal candidate possesses strong technical skills, exceptional customer-facing abilities, enjoys solving complex problems, can translate technical capabilities into business value, and is adept at building scalable implementation processes. This role is ideal for individuals excited about AI, healthcare technology, and thriving in a fast-paced startup environment.

Requirements

5+ years of experience in Solutions Engineering, Sales Engineering, Solutions Consulting, Technical Consulting, Professional Services, Implementation, or Customer Engineering within high-growth technology companies.
Proven success partnering with Sales organizations to win new business and Customer Success teams to expand existing customer relationships.
Experience leading SaaS or enterprise software implementations from technical discovery through production launch.
Strong technical aptitude with the ability to simplify complex software concepts for physicians, practice administrators, and business stakeholders.
Experience supporting high-velocity SMB and/or mid-market customer environments.
Experience working cross-functionally with Product, Engineering, Product Marketing, Sales, and Customer Success.
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent technical experience.
Excellent communication, presentation, and executive-facing consulting skills.
High energy, strong executive presence, and the ability to influence without direct authority.
Builder mindset with the ability to thrive in ambiguity and rapidly evolving startup environments.

Nice To Haves

Experience with healthcare software, healthcare workflows, EMRs/EHRs, or healthcare integrations is strongly preferred.
Experience working in VC-backed Series B-D technology companies is strongly preferred.

Responsibilities

Partner with Sales and Customer Success throughout the sales cycle by leading technical discovery, solution design, product demonstrations, proof-of-concepts, technical evaluations, and implementation planning.
Serve as the technical expert during customer engagements, helping healthcare organizations understand how Nitra's AI platform can automate workflows and improve operational efficiency.
Lead customer implementations from kickoff through production launch, including solution configuration, integrations, testing, training, validation, and go-live support.
Drive customer adoption by helping practices implement best practices, optimize workflows, and maximize long-term value from Nitra's AI software.
Partner closely with Product, Product Marketing, and Engineering to prioritize customer feedback, influence product roadmap decisions, and improve the customer experience.
Build scalable implementation methodologies, technical documentation, playbooks, demo environments, onboarding guides, and best practices that improve deployment quality and reduce time-to-value.
Troubleshoot technical issues and collaborate with Engineering to resolve complex customer challenges.
Measure and optimize implementation performance, technical win rates, customer adoption, customer satisfaction, and implementation quality.
Act as a trusted technical advisor throughout the customer lifecycle while identifying opportunities for expansion and additional product adoption.