Foundation EGI

Serve as a domain expert in automotive assembly line planning, tooling, and documentation, providing guidance on product workflows, specifications, and validation. | Requires 10+ years of automotive manufacturing or industrial engineering experience, with expertise in assembly sequence planning, tooling, torque specifications, ergonomic assessments, and strong communication skills. | We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process. Overview: Foundation EGI is looking for an experienced Manufacturing or Industrial Engineering Consultant with deep automotive experience in planning and documenting new production lines, especially final assembly operations. This person will serve as a domain expert for a software product focused on assembly sequence and tooling planning bringing real-world shop floor experience into the product design, requirements, and documentation. You should be an industry veteran who has led or supported the planning of new or modified production lines at OEMs or Tier 1 suppliers: -Assembly sequence planning -Selection and specification of assembly tools and equipment -Torque specification and tightening strategies -Ergonomic risk assessment -MTM and time studiesProduction documentation and launch readiness \n Responsibilities Serve as the primary subject-matter expert on automotive assembly sequence planning, tooling, and production line setup. Define and review product workflows and requirements for sequence planning, torque specs, tooling selection, ergonomic risks, and MTM or time study use. Provide practical guidance on new or modified production lines, including station layout, work content, standardized work, and work instructions. Define and review how assembly tools, fixtures, ergonomic aids, and error-proofing devices are represented and used in the software. Write clear product specifications and user-facing documentation such as workflows, examples, and best-practice guides. Validate that the product behavior and algorithms match real plant workflows and provide feedback from pilot use and customer discussions. You'll Thrive with 10 or more years of experience in manufacturing or industrial engineering roles within automotive OEM or Tier 1 suppliers. Proven experience planning and launching new or significantly modified production lines, especially final assembly. Hands-on experience with: Assembly sequence planning and operation breakdown. Tool and equipment selection for assembly operations, including torque tools, fixtures, and ergonomic assists. Torque specifications and fastening process design, including DC tools, tightening strategies, and traceability. Ergonomic risk assessment using methods such as REBA, RULA, or NIOSHMTM, MOST, or equivalent time study methods. Strong written and verbal communication skills and the ability to clearly explain complex manufacturing and tooling concepts to non-experts such as software engineers. \n

Manage full sales cycle for enterprise clients, lead technical discussions, and deliver pilot projects to convert into subscriptions. | Experience in enterprise sales, technical understanding of engineering concepts, ability to navigate complex organizations, and strong communication skills. | About Us: We are an MIT-born, Series A startup building a real-life 'Jarvis'—an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process. What You Will Do: Own the full sales cycle for Enterprise customers - from outbound prospecting to solutioning to closing and handoff. Help achieve quarterly customer and revenue targets Lead detailed technical conversations with the customers to understand their pain points. Translate them into customized sales proposals (POCs, pilots, commercial) with the requisite level of technical and commercial granularity. Own the delivery of the pilot projects for a very technical product ensuring that they successfully lead to a subscription. Be the voice of the customer with the internal product and R&D teams. Draft and communicate technical requirements for them to ensure your customer needs are correctly translated internally. Always looking for ways to improve the sales process and decrease the time to close. Mentor and hire future team members as we scale What You Will Need to Be Successful in the Role: • Be extremely conversant with basic mechanical engineering concepts (e.g., GD&T, critical dimensions, tolerances, 3DCAD, technical drawings, etc.) and able to hold conversations with customers on these topics • Mechanical Engineering background will be a huge plus. 2-3 years of experience in Enterprise sales role selling into large design and manufacturing organizations. • Selling into Automotive OEMs/Tier 1s and/or heavy equipment manufacturers is a plus • Ability to learn fast, move fast and evolve quickly. Be a swiss-army knife • A knack for identifying the right stakeholders and champions within a large organization and building relationships with them. Navigate your way through layered, matrixed organizations • Handle objections and skepticism with confidence, especially when selling an emerging product that is not always polished • Ability to isolate customer pain points and translate them into a customized sales narrative for each customer • Ability to create urgency with the prospects and keep the deal moving • Excellent communication skills with the ability to adapt on the fly and think on your feet • Ability to thrive in the fog of an early-stage startup environment and deliver resultsPerseverance, optimism and determination. Self starter We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Manage the full sales cycle for enterprise clients, including technical conversations, solution proposals, pilot project delivery, and customer feedback integration. | Experience in enterprise sales, technical understanding of engineering concepts, ability to handle complex sales processes, and experience with large organizations. | About Us: We are an MIT-born, Series A startup building a real-life 'Jarvis'—an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process. What You Will Do: Own the full sales cycle for Enterprise customers - from outbound prospecting to solutioning to closing and handoff. Help achieve quarterly customer and revenue targets Lead detailed technical conversations with the customers to understand their pain points. Translate them into customized sales proposals (POCs, pilots, commercial) with the requisite level of technical and commercial granularity. Own the delivery of the pilot projects for a very technical product ensuring that they successfully lead to a subscription. Be the voice of the customer with the internal product and R&D teams. Draft and communicate technical requirements for them to ensure your customer needs are correctly translated internally. Always looking for ways to improve the sales process and decrease the time to close. Mentor and hire future team members as we scale What You Will Need to Be Successful in the Role: • Be extremely conversant with basic mechanical engineering concepts (e.g., GD&T, critical dimensions, tolerances, 3DCAD, technical drawings, etc.) and able to hold conversations with customers on these topics. • Mechanical Engineering background will be a huge plus. 2-3 years of experience in Enterprise sales role selling into large design and manufacturing organizations. • Selling into Automotive OEMs/Tier 1s and/or heavy equipment manufacturers is a plus • Ability to learn fast, move fast and evolve quickly. Be a swiss-army knife. • A knack for identifying the right stakeholders and champions within a large organization and building relationships with them. Navigate your way through layered, matrixed organizations. • Handle objections and skepticism with confidence, especially when selling an emerging product that is not always polished. • Ability to isolate customer pain points and translate them into a customized sales narrative for each customer. • Ability to create urgency with the prospects and keep the deal moving • Excellent communication skills with the ability to adapt on the fly and think on your feet. • Ability to thrive in the fog of an early-stage startup environment and deliver resultsPerseverance, optimism and determination. Self starter. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Manage the full sales cycle for enterprise clients, including technical conversations, solution proposals, pilot project delivery, and customer relationship management. | Requires mechanical engineering knowledge, 2-3 years of enterprise sales experience in manufacturing sectors, and ability to navigate complex organizational structures. | About Us: We are an MIT-born, Series A startup building a real-life 'Jarvis'—an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process. What You Will Do: Own the full sales cycle for Enterprise customers - from outbound prospecting to solutioning to closing and handoff. Help achieve quarterly customer and revenue targets Lead detailed technical conversations with the customers to understand their pain points. Translate them into customized sales proposals (POCs, pilots, commercial) with the requisite level of technical and commercial granularity. Own the delivery of the pilot projects for a very technical product ensuring that they successfully lead to a subscription. Be the voice of the customer with the internal product and R&D teams. Draft and communicate technical requirements for them to ensure your customer needs are correctly translated internally. Always looking for ways to improve the sales process and decrease the time to close. Mentor and hire future team members as we scale \n What You Will Need to Be Successful in the Role: Be extremely conversant with basic mechanical engineering concepts (e.g., GD&T, critical dimensions, tolerances, 3DCAD, technical drawings, etc.) and able to hold conversations with customers on these topics. Mechanical Engineering background will be a huge plus. 2-3 years of experience in Enterprise sales role selling into large design and manufacturing organizations. Selling into Automotive OEMs/Tier 1s and/or heavy equipment manufacturers is a plus Ability to learn fast, move fast and evolve quickly. Be a swiss-army knife. A knack for identifying the right stakeholders and champions within a large organization and building relationships with them. Navigate your way through layered, matrixed organizations. Handle objections and skepticism with confidence, especially when selling an emerging product that is not always polished. Ability to isolate customer pain points and translate them into a customized sales narrative for each customer. Ability to create urgency with the prospects and keep the deal moving Excellent communication skills with the ability to adapt on the fly and think on your feet. Ability to thrive in the fog of an early-stage startup environment and deliver resultsPerseverance, optimism and determination. Self starter. \n

Architect and operate ML pipelines on Google Cloud, maintain CI/CD for ML models, and collaborate with cross-functional teams to ensure high system availability and performance. | 5+ years in AI/ML Ops or related roles with expert Python and TypeScript skills, experience with Docker, Kubernetes, Terraform, Google Cloud, and knowledge of LLMs and CI/CD pipelines. | We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'—an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process. Responsibilities • Architect, build, and operate end-to-end ML pipelines for training, validation and deployment on Google Cloud. • Define, instrument, and maintain logging, monitoring, and alerting for model performance and data drift. • Automate CI/CD for ML artifacts and infrastructure using GitHub Actions or equivalent. • Collaborate with cross-functional teams, including frontend engineers, backend engineers, research engineers, and infrastructure engineers. • Write clean, well-documented, fast, and maintainable code. • Help ensure our systems have high availability and performance. What we're looking for • BS in Computer Science or a related field. • 5+ years of experience as a AI/ML Ops, DevOps, Infrastructure Engineer or equivalent. • Expert-level Python and TypeScripts skills. • Experience with Docker, Kubernetes, Terraform, and Google Cloud. • Deep understanding of large language models (LLMs) and prompt-engineering best practices. • Experience designing and maintaining CI/CD pipelines to fine-tune or train LLM models. • Excellent written and verbal communication skills. Bonus Points • Experience in computer graphics or physics-based simulation. • Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks. • Experience with Vertex AI. • Experience working with custom Domain-Specific Languages. Our tech stack • Google Cloud • Python, TypeScript • Protobuf, gRPC • Next.JS, React.JS • GitHub Actions • Docker, Kubernetes, Spinnaker • PostgreSQL