Application Engineer

Neural Concept

ABOUT NEURAL CONCEPT Engineering is at an inflection point. The teams defining the next generation of aircraft, electric vehicles, and consumer products are not just designing faster — they are designing fundamentally differently, with AI embedded at the core of their workflows. Neural Concept builds the Engineering AI platform that makes this possible. We help the world's leading engineering teams accelerate development, improve product outcomes, and scale engineering capacity — turning months of simulation into days, and engineering intuition into data-driven insight. We work with elite engineering teams in Automotive, Consumer Tech, and advanced manufacturing, where the stakes are high, the complexity is rising, and the pressure to innovate has never been greater. We are changing how engineers work. Come build that future with us.   ABOUT THE ROLE Engineering simulation is about to change fundamentally — and you will be the person who makes that change real for the world's leading product companies. As a Technical Account Manager, you will be on the front lines of deploying AI-driven simulation into live CAE workflows: not as a demo, but as a tool that engineers reach for every day. Working closely with Sales, you will drive the acquisition of new customers and the expansion of existing accounts — acting as a trusted engineering advisor who bridges cutting-edge AI technology and the real-world demands of simulation engineers, design teams, and engineering leadership. The foundation of this role is engineering credibility: you understand how CAE-driven design processes work, you speak the language of simulation engineers and designers, and you earn trust by understanding problems before proposing solutions. You'll thrive in this role if you combine: * Ability to convince and inspire, backed by deep engineering expertise (CAD/CAE background) * A natural curiosity for problem discovery and technical exploration * Experience in engineering software sales or technical consulting * Structured execution and a commercial mindset     WHAT YOU'LL DO Discover and scope high-value use cases * Lead structured discovery sessions with engineering and simulation teams to identify where Neural Concept can create the most impact * Define use cases with clear success criteria, scoping, and business justification * Navigate technical complexity and ambiguity to turn exploratory conversations into actionable programs Drive customer adoption and expansion * Build success plans tied to measurable business outcomes (time-to-market, iteration reduction, engineering capacity, quality) * Plan and execute software demos, prepare tailored presentations * Monitor usage and engagement, identify risks early, and lead expansion motions alongside Account Executives Enable engineering teams in real workflows * Facilitate structured onboarding, technical deep-dives, and hands-on workshops to drive adoption and utilisation * Translate Neural Concept capabilities into the customer's actual design and simulation workflows Lead technical project execution * Coordinate with Application Engineers and R&D when deep technical delivery is required Be the voice of the customer * Capture product feedback, usability issues, and feature requests * Maintain a tight feedback loop with Product and R&D to influence roadmap priorities Communicate impact with clarity * Report customer health, adoption milestones, and value realisation * Present outcomes to engineering leaders and steering committees   SUCCESS IN THIS ROLE LOOKS LIKE: * Customers adopt NC into daily engineering workflows * Engineering champions become internal advocates for Engineering AI transformation * Renewals and expansions are earned through value   WHO YOU ARE * You have an engineering degree (mechanical, aerospace, automotive, industrial, or similar) and hands-on experience with CAD/CAE tools and workflows * You have experience in a customer-facing role within engineering software (sales, pre-sales, solutions consulting, technical account management) or engineering consulting * You understand how simulation-driven design teams work and what slows them down * You are genuinely curious: you enjoy exploring technical problems, asking good questions, and connecting engineering pain points to solutions * You can communicate technical topics clearly to both engineers and executives * You are proactive, structured, and comfortable navigating ambiguity * You have a working understanding of AI and machine learning concepts applied to engineering and are keen to guide customers through this transformation * You are comfortable with scripting or light programming (Python, etc.) at a functional level; deep software development is not expected in this role   NICE-TO-HAVE BACKGROUNDS * Experience in engineering software vendors (Ansys, Altair, Siemens, Dassault Systemes, Autodesk, or similar) * Engineering or technology consulting (Capgemini, Accenture, specialist CAE consultancies, etc.) * Experience supporting enterprise accounts and multi-stakeholder programs   WHAT YOU GET * A role at the intersection of engineering, AI, and enterprise value creation * Direct exposure to world-class client organizations and complex engineering challenges * High ownership, autonomy, and visible impact * A collaborative environment with strong technical talent * Competitive compensation and growth opportunities as we scale globally * Hybrid work model and flexible hours (results-focused culture) WHERE YOU WILL BE * Based in Bangalore or Pune, India * 50% travel required within India WE'RE PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER, AND WE'RE COMMITTED TO BUILDING A DIVERSE AND INCLUSIVE ENVIRONMENT WHERE YOU CAN THRIVE.

CUBE

CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients.    Why us? 🌍 CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally. 🚀 In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead. 🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. 🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. 💡 We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Purpose This role focuses on cloud-native platform engineering: building self-service infrastructure, standardised deployment patterns, and reliable runtime platforms on Azure. You will work closely with software, data, and ML teams to provide guardrails, automation, and operational excellence across the full system lifecycle. Key Responsibilities • Design, build, and operate shared platform services on Microsoft Azure, with a strong focus on AKS-based runtime platforms. • Develop and maintain reusable infrastructure and platform modules (Terraform, Helm) that enable safe self-service by application, data, and ML teams. • Own platform components end-to-end (build–run), including availability, performance, security, cost, and operability. • Define and evolve platform standards and golden paths for workload onboarding, networking, identity, secrets, observability, and scaling. • Implement infrastructure and platform changes using Infrastructure as Code (Terraform) and GitOps-style workflows. • Contribute to and improve CI/CD pipelines using Azure DevOps and GitHub Actions, including automated validation, approvals, and rollbacks. • Reduce manual operational effort through automation, self-service tooling, and opinionated defaults. • Ensure platform services meet agreed SLOs, security controls, compliance requirements, and resilience standards. • Implement and maintain observability using New Relic, including metrics, logs, alerts, and dashboards. • Lead or support investigation and resolution of complex platform incidents; contribute to post-incident reviews and systemic improvements. • Design and validate backup, recovery, and disaster recovery mechanisms for platform-managed services. • Enable application teams with reliable deployment and runtime patterns (e.g. ingress, service mesh, secrets, scaling, CI/CD integration). • Support DataOps and MLOps workloads by providing secure, scalable platforms for data pipelines, model training, and inference. • Collaborate with data and AI teams on services such as Microsoft Fabric, data platforms, and ML lifecycle tooling. • Act as a senior technical partner to software engineers, data engineers, and ML engineers. • Provide technical input into solution and service design, ensuring operational and platform considerations are addressed early. • Mentor and support junior and mid-level engineers, sharing platform engineering best practices. • Contribute to continuous improvement of platform processes, documentation, and standards. Skills & Competencies • Someone with 4-6 years of strong experience in cloud engineering, with hands-on expertise in Microsoft Azure. • Production experience operating Azure Kubernetes Service (AKS) at scale. • Advanced use of Terraform for infrastructure and platform provisioning (modules, state management, governance). • Strong working knowledge of Helm for Kubernetes workload and platform configuration. • Experience building and operating CI/CD pipelines using Azure DevOps and/or GitHub Actions. • Solid understanding of cloud networking, identity (Azure AD / Managed Identity), private endpoints, and security controls. • Experience designing self-service platforms or reusable infrastructure patterns. • Strong understanding of reliability engineering, incident management, and change control in production environments. • Practical experience with observability and monitoring, ideally with New Relic or equivalent tools. • Ability to balance delivery speed with risk management, stability, and long-term sustainability. • Clear communicator, able to explain technical trade-offs and risks to both technical and non-technical stakeholders. • Comfortable working autonomously within a defined platform scope. • Strong sense of ownership and accountability for platform outcomes. • Exposure to DataOps or MLOps practices, tooling, or platforms. • Experience supporting data pipelines, lakehouse architectures, or ML workloads on cloud platforms. • Familiarity with Microsoft Fabric, ML pipelines, model deployment, or feature stores. Required Experience & Qualifications • Relevant experience, training, or demonstrated capability for the role's track, domain, and level. • Practical understanding of the tools, methods, governance, and delivery practices used in the role. • Ability to work effectively with relevant stakeholders and contribute to reliable, high-quality outcomes. • Relevant degree, professional qualification, certification, apprenticeship, or equivalent experience is desirable where applicable. Performance Indicators • High availability and reliability of platform services used by delivery teams. • Safe, repeatable, and automated platform changes with minimal unplanned incidents. • Improved developer, data, and ML team experience through self-service and standardisation. • Reduction in platform-related incidents, toil, or technical debt over time. • Positive feedback from engineering teams on platform usability and support. Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

CUBE

CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients.    Why us? 🌍 CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally. 🚀 In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead. 🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. 🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. 💡 We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Purpose Provide senior-level security engineering expertise as part of a shared enabling function, helping teams across the organisation design, build, and operate systems securely. This role contributes to the organisation’s mission by embedding security into systems and development workflows, reducing risk through secure patterns and automation, and raising the overall security capability of engineering teams. Key Responsibilities Act as a senior hands-on contributor to the design, implementation, and operation of security controls within systems and platforms. Partner with Software Engineers and Platform Engineers to embed security considerations into system design, code review practices, and delivery workflows. Define, promote, and evolve secure development and operational practices, enabling teams to identify and address security concerns independently. Design and maintain secure defaults, guardrails, and reusable security patterns that teams can safely adopt. Build and operate security tooling and automation that integrates naturally into development and delivery processes. Support threat modelling, design review, and targeted code or configuration review, focusing on enablement rather than approval. Participate in build–run ownership for security-related systems and controls, including monitoring and incident response. Lead investigation and response to security incidents in collaboration with affected teams, ensuring learning is shared and acted upon. Support vulnerability management by helping teams prioritise, remediate, and verify security issues. Provide security input to change management processes, ensuring risk is understood and mitigated without unnecessary friction. Collaborate with Architecture and Platform Engineering to ensure security principles are reflected in shared patterns and reference designs. Contribute to security standards and guidance in partnership with governance and risk functions. Mentor and support Junior Security Engineers and Security Engineers, raising security maturity across the organisation. Skills & Competencies Strong security engineering expertise with experience securing modern software and cloud-based systems. Ability to translate security risks into practical engineering guidance and controls. Experience building or operating security tooling, automation, and reusable patterns. Good understanding of application, infrastructure, and cloud security principles. Experience responding to security incidents and supporting effective remediation. Clear communication skills, able to explain security concepts and risks to non-specialists. Collaborative mindset focused on enabling teams rather than policing delivery. Required Experience & Qualifications Relevant experience, training, or demonstrated capability for the role's track, domain, and level. Practical understanding of the tools, methods, governance, and delivery practices used in the role. Ability to work effectively with relevant stakeholders and contribute to reliable, high-quality outcomes. Relevant degree, professional qualification, certification, apprenticeship, or equivalent experience is desirable where applicable. Performance Indicators Increased adoption of secure patterns and practices by engineering teams. Reduction in repeat security issues and common failure modes. Improved quality of security considerations in design and code reviews. Effective handling of security incidents with clear learning and follow-up actions. Positive feedback from teams regarding the usefulness and approachability of security support. Development Pathways Progression to Lead Security Engineer or broader security leadership roles as the organisation matures. Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.