Head of Engineering – US Products

Experience: 8.00 + years

Salary: Confidential (based on experience)

Expected Notice Period: 30 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Hybrid ()

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: EC)

(*Note: This is a requirement for one of Uplers' client - EC)

What do you need for this opportunity?

Must have skills required:

and existing automotive industry connections., automotive tech/OEM/dealer software or B2B Enterprise SaaS experience, scaling products for large enterprises, Startup/entrepreneurial experience, 2+ years in leadership, 8–10 years of engineering experience, AI-driven development, and enterprise client-facing experience., enterprise security/compliance (SOC 2/ISO 27001), hands-on GenAI implementation, proven team building from scratch, Technical Architecture

EC is Looking for:

Head of Engineering – US Products

Role Summary

EC is hiring a Head of Engineering – US Products to own core platform decisions, hiring, and delivery for its 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: Mumbai-based, with readiness to travel to the US as needed.

Key Responsibilities

• Product & Technical Decisions
• Own build/no-build decisions for US Products in partnership with Product Owners — 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 US 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.
• 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 EC 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 EC''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 senior 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.

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers:

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