Technical Account Manager

Neural Concept

Technical Account Manager deploying AI-driven simulation into engineering workflows for leading product companies. Collaborating with engineering teams to enhance design and simulation processes in various industries.

Posted 5/18/2026full-timeBangalore • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

As a Technical Account Manager, you will be on the front lines of deploying AI-driven simulation into live CAE workflows
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
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
Facilitate structured onboarding, technical deep-dives, and hands-on workshops to drive adoption and utilisation
Coordinate with Application Engineers and R&D when deep technical delivery is required
Capture product feedback, usability issues, and feature requests
Maintain a tight feedback loop with Product and R&D to influence roadmap priorities
Report customer health, adoption milestones, and value realisation
Present outcomes to engineering leaders and steering committees

Requirements

What you’ll need

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

Benefits

Comp & perks

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)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

CADCAEAImachine learningscriptingPythonengineering softwaresimulation-driven designtechnical account managementsolutions consulting

Soft Skills

communicationcuriosityproactivestructuredproblem-solvingnavigating ambiguitycustomer engagementpresentation skillscollaborationfeedback facilitation

Certifications

engineering degree