Own enterprise platform deployments end to end, from architecture and integration through security approval, go-live, and ongoing operations, serving as the primary technical counterpart for named customers.
Neuralconcept jobs
Engineering AI platform for designing complex products.
35 open roles at Neuralconcept
Build production software that connects engineering requirements, design rules, and constraints to design workflows, using LLM pipelines and enterprise integrations to help engineers validate designs.
Own full-cycle GTM recruiting, from intake and targeted sourcing through offer acceptance, while advising hiring managers and improving hiring processes across US and global searches.
Own the full enterprise sales cycle for strategic engineering customers, from prospecting and business-case development to negotiation, closing, and account expansion, helping drive adoption of Engineering AI.
Implement customer-facing engineering projects that apply Python, machine learning, and deep-learning tools to simulation and design workflows, while delivering proofs of concept and translating customer feedback into product improvements.
Build engineering prototypes and turn emerging AI and engineering technologies into technically credible demos, articles, videos, and partner stories that make complex capabilities clear to market audiences.
Design and deliver production-grade, Python-first AI engineering workflows that connect design, simulation, and machine learning, while shaping reusable platform components and driving customer adoption.
Leads regional Solutions Engineering across DACH and the Nordics, shaping customer AI transformation roadmaps, guiding complex technical engagements, and building a high-performing team.
Own end-to-end enterprise platform deployments, integrations, and production operations across customer-controlled Kubernetes, on-premises, air-gapped, GPU, and HPC environments, serving as the primary technical counterpart.
Own end-to-end enterprise platform deployments, integrations, security reviews, and production support across customer-controlled Kubernetes, on-premises, air-gapped, GPU, and HPC environments.
Lead the marketing function and international team, shaping the AI for Engineering category while connecting positioning, product marketing and integrated growth programs to enterprise pipeline and global adoption.
Own and build U.S. HR operations end to end, including payroll, benefits, compliance, and PEO strategy, while helping shape office operations and contributing to global HR projects.
Own and develop production-grade simulation workflows, benchmarks, and solution assets for automotive safety and consumer electronics durability, while automating pipelines and shaping platform capabilities.
Leads and scales the engineering organization, translating product and technical strategy into reliable delivery while developing teams, strengthening engineering practices, and maintaining technical quality and security.
Own the full enterprise sales cycle for strategic engineering customers, from territory planning and prospecting through complex negotiations, closing, and account expansion for an emerging Engineering AI platform.
Lead client-facing discovery, demos, and solution design that connect engineering challenges to AI opportunities, guide accounts from pre-sales through adoption, and shape technical roadmaps and expansion proposals.
Own the pre-sales motion and technical direction for engineering AI accounts, translating client challenges into feasible solutions, tailored demos, Statements of Work, adoption plans, and expansion opportunities.
Lead client discovery, demos, and solution scoping for engineering AI accounts, connecting CAD and CAE workflows to strategic outcomes while guiding adoption and identifying expansion opportunities.
Integrate AI into customer engineering workflows by connecting PLM, CAD, and simulation systems, automating data exchange and jobs, and turning field experience into reusable product features and tools.
Own and expand platform quality by building AI-enabled test automation, setting QA standards and roadmaps, and partnering with development teams to improve release reliability and resolve defects faster.
Lead client discovery, demos, and technical pre-sales for an engineering AI platform, translating customer challenges into scoped solutions, strategic roadmaps, and expansion opportunities.
Lead client-facing discovery, demos, AI strategy, and pre-sales delivery for engineering accounts, translating CAD and CAE challenges into practical solutions and guiding adoption and expansion.
Lead customer discovery, demos, AI strategy, and technical pre-sales for engineering accounts, translating CAD and CAE challenges into scoped solutions while guiding adoption and expansion opportunities.
Lead client discovery, demos, technical roadmaps, and Statements of Work for engineering AI solutions, guiding accounts from pre-sales through adoption and identifying opportunities to expand customer impact.
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