The Role
Leads engineering for the US product line, owning architecture, technical strategy, build priorities, AI-enabled development, enterprise security and compliance, hiring, and team building. Partners with product leaders and the CTO to execute the roadmap, build enterprise-grade products, support customer go-lives, and incorporate feedback from enterprise clients. Requires hands-on Generative AI experience, team-building capability, enterprise readiness experience, and willingness to travel to the US.
Summary Generated by Built In
Role Summary
Eccentric Engine is hiring a Head of Engineering – US Products to own core platform decisions, hiring, and delivery for our US product line. This role is created to take on technical and hiring authority that currently sits with the Co-Founder/CTO. Practical use of AI in development and hands-on Generative AI capability are central to the role.
Reports to: Co-Founder & CTO
Location: Goregaon, Mumbai, with readiness to travel to the US as needed
Role Structure: 60% IC + 40% Managerial + Strategic
Key Responsibilities
Product & Technical Decisions
- Own build/no-build decisions for US Products in partnership with Product Owners & Business Leaders; what gets built, in what order, and why.
- Own technical architecture and platform decisions for the US product line.
- Lead the practical use of AI across development and testing to improve delivery speed while maintaining engineering quality.
- Work with the Generative AI team to lead implementation of integrations in US Products, with a clear understanding of model capabilities, limitations, and evaluation.
- Partner with the Co-Founder/CTO on product vision and strategy; translate that vision into an executable roadmap.
Team Building & Leadership
- Hire, structure, and lead a lean & hungry Products Engineering team from the ground up.
- Demonstrate sustained team-building: recruit, onboard, and retain engineers, prioritising demonstrated ability to deliver efficiently using AI over years of development experience alone.
- Collaborate with the HR SPOC to Build a hiring pipeline and use approved budget proactively, keeping the team lean and focused on product outcomes.
- Structure the team to own US Product Development and support go-lives, with clear ownership and efficient use of AI across development and testing.
Enterprise Readiness
- Lead the product to enterprise-grade standards, including security and compliance (e.g. SOC 2, data privacy, access controls).
- Own the security/compliance roadmap and coordinate with legal and compliance stakeholders as needed.
Customer-facing Architecture
- Travel to meet enterprise client IT teams, business stakeholders, and product users to understand their needs and technical constraints.
- Use access to the right customers and stakeholders provided by Eccentric Engine to uncover actionable insights and translate them into product and architecture decisions.
- Collect feedback directly from customers and work with Product Owners to turn it into product improvements, validating the impact with users.
- Represent Eccentric Engine's technical capability directly to enterprise partners.
What Success Looks Like (First 6 - 12 Months)
- A defined US Products roadmap owned jointly with Product Owners, with clear build/no-build rationale documented.
- A lean, effective US Products engineering team delivering measurable improvements in speed and quality through the use of AI.
- A functioning hiring pipeline that identifies engineers with strong ownership and demonstrated ability to deliver efficiently using AI.
- Enterprise security/compliance milestones met or on a committed timeline (e.g. SOC 2 readiness, access control implementation).
- Substantive working relationships with relevant enterprise client stakeholders (e.g. JD Power), including in-person visits, with insights reflected in product priorities.
- A technical architecture that demonstrably accounts for enterprise scale requirements, with product improvements informed and validated by direct customer feedback.
Requirements & Qualifications
- 8-10 years in engineering, with 2+ years in a leadership role owning both technical architecture and team-building from a small base.
- Demonstrated track record of building and retaining an engineering team from the ground up, including active hiring, not just managing an existing team.
- Strong understanding of Generative AI fundamentals, with hands-on experience implementing and evaluating these capabilities in production.
- Demonstrated use of AI in development to improve delivery efficiency, with the judgement to review and validate AI-generated code.
- Direct experience taking a product to enterprise-grade readiness, including security and compliance standards (SOC 2, ISO 27001, or equivalent).
- Experience working directly with enterprise clients' technical/IT teams and product users, able to extract insights and translate feedback into product and architecture decisions.
- Ready to travel to the US as needed for client engagements.
- Strong product sense; able to partner with Product Owners and a Co-Founder/CTO on what to build, not just how.
Nice to Have
- Prior entrepreneurship experience.
- Prior experience in automotive tech, dealer/OEM software, or a comparable B2B enterprise SaaS environment.
- Experience scaling a product line specifically for large enterprise accounts (not just SMB/mid-market).
- Existing relationships in the automotive OEM or dealer technology space.
Compensation:
- This role will have a Fixed + Variable Component (ESOPs). We are happy to negotiate on the budget slightly if you do meet the Product + AI Exposure criteria.
Skills Required
- 8-10 years of engineering experience
- 2+ years in an engineering leadership role owning technical architecture and team building
- Track record of building and retaining an engineering team from the ground up, including active hiring
- Strong understanding of Generative AI fundamentals, with hands-on production implementation and evaluation experience
- Demonstrated use of AI in development to improve delivery efficiency, including reviewing and validating AI-generated code
- Experience taking a product to enterprise-grade readiness, including SOC 2, ISO 27001, or equivalent security and compliance standards
- Experience working directly with enterprise clients' technical or IT teams and product users
- Willingness to travel to the US as needed for client engagements
- Strong product sense and ability to partner on product priorities and build decisions
- Prior entrepreneurship experience
- Experience in automotive technology, dealer or OEM software, or comparable B2B enterprise SaaS
- Experience scaling a product line for large enterprise accounts
- Existing relationships in the automotive OEM or dealer technology space
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The Company
What We Do
Eccentric develops an automotive-first visualization engine using proprietary 3D technology and generative AI. Its platform delivers secure, high-performance, photorealistic vehicle experiences across screens, helping original equipment manufacturers and dealer networks showcase and sell cars. The company aims to reduce the cost and complexity of creating scalable 3D experiences, initially for automotive brands and eventually across additional industries through consistent digital touchpoints.
