Jobs at Neural Concept

Own enterprise customer deployments from architecture through go-live and ongoing operations. Integrate the platform with identity, data, engineering, infrastructure, and model-serving systems across managed Kubernetes, cloud, on-premises, air-gapped, GPU, and HPC environments. Lead security reviews, troubleshoot complex infrastructure issues, support customers, create operational documentation, and feed deployment insights into Product.

Chief Marketing Officer responsible for defining Neural Concept’s AI for Engineering category, positioning, product narrative, global growth strategy, pipeline generation, and marketing operating model. Leads an international specialist team across product marketing, brand, communications, digital, operations, creative, partner, and field marketing. Owns enterprise go-to-market strategy, ABM, demand generation, category creation, marketing budget, organizational design, executive alignment, and market engagement across the US and Europe.

Manage U.S. HR operations across onboarding, employee changes, offboarding, benefits, payroll coordination, 401(k) administration, policies, and compliance. Lead full-cycle recruiting for technical and business roles through proactive sourcing and close hiring-manager partnership. Maintain accurate HR and recruiting records, monitor pipelines, and report hiring metrics in a fast-moving international technology scaleup.

Sell an Engineering AI platform to enterprise engineering-led companies. Own full sales cycle from prospecting to closing, build account strategies, engage stakeholders across engineering, IT and executives, create business cases, lead negotiations, coordinate cross-functional teams, maintain pipeline and represent the company at events.

Lead pre-sales technical engagements for an Engineering AI platform: run discovery, craft demos, define technical roadmaps and SOWs, drive adoption and expansion, and liaise between Sales, Forward Deployed Engineering, Product and R&D to translate engineering workflows into AI-enabled solutions.

The role involves collaborating with customers to solve engineering challenges using machine learning, develop solutions, train teams, and improve products based on feedback.