About 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 ResponsibilitiesProduct & 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.
- 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.
- 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.
- 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 milestonesmet 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.
- 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.