Technology Analyst

CommerceIQ; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

CommerceIQ in Bengaluru seeks an Engineering Leader to drive AI solutions and manage a team focused on implementing customer-specific AI agents. This role involves collaborating with enterprise customers to translate their needs into technical solutions.

The ideal candidate will have experience in customer-facing roles, a strong background in AI products, and excellent leadership abilities to ensure high-quality delivery and impact on customer KPIs.

Qualifications

• Experience in customer-facing engineering, solutions engineering, or consulting roles.
• Understanding of LLM-powered features and AI systems in production.
• Strong communication skills across technical and non-technical stakeholders.

Responsibilities

• Work directly with enterprise customers to implement AI agents.
• Translate business problems into technical solutions.
• Manage a small team of engineers focused on customer deployments.
• Ensure deployed solutions drive measurable outcomes.
• Influence CommerceIQ's evolution towards AI-native workflows.

Skills

Customer-facing engineering

Solutions engineering

Technology consulting

AI product exposure

Leadership skills

Job description

Overview

The AI Labs team operates as a startup within the company. It needs its own engineering leader. Someone who can recruit a world-class team in Mountain View, set the technical direction for agentic AI in commerce, and ship at a pace that matches the opportunity. We have engineering teams across the US, India, Canada, and the UK. Mountain View is the center of gravity for AI leadership. This role reports directly to the Founders. We ship with Claude, GPT-4 and open-source models in production. Our engineers already write the majority of code with AI. Some things are great. Some things need to be rebuilt. The next leader will know the difference.

Core Responsibilities

• Deploy AI Solutions with Customers: Work directly with enterprise customers to implement AI agents and workflows across content, media, and sales use cases. Customize and adapt CommerceIQ\'s platform to fit real-world customer environments. Drive rapid iteration cycles based on customer feedback and usage.
• Bridge Customer Needs With Product And Engineering: Translate ambiguous business problems into technical solutions and product requirements. Provide structured feedback to product and engineering teams to improve core platform capabilities. Identify patterns across customers and help shape repeatable product features vs. one-off solutions.
• Lead a High-Impact Engineering Pod: Manage a small team of engineers focused on customer deployments and solutioning. Ensure high quality of delivery while maintaining speed and adaptability. Balance hands-on technical software development with AI tools like Claude and related technologies, while performing leadership and stakeholder management.
• Drive Business Impact: Understand customer KPIs and ensure deployed solutions drive measurable outcomes. Act as a trusted technical advisor to customer stakeholders. Partner with GTM and Customer Success teams to expand and deepen customer value. Close pilots.
• Shape The Future Of AI In Commerce: Bring frontline insights into how AI is used in production. Influence how CommerceIQ evolves from SaaS to AI-native workflows and agents. Help define best practices for deploying AI systems at enterprise scale.

The Core Requirements For The Job

• Builder with Customer Instinct: Experience working in customer-facing engineering, solutions engineering, or consulting roles. Background in technology consulting, business consulting, or forward-deployed engineering. Ability to operate in ambiguous environments and solve real business problems.
• AI Product Exposure: LLM-powered features; AI copilots / assistants; workflow automation. Understanding of how AI systems behave in real-world production environments.
• Product And Business Thinking: Ability to connect technical solutions to business outcomes. Strong intuition for what should be productized vs. customized. Experience collaborating closely with product teams. Business consulting experience is a must-have.
• Leadership And Execution: Experience managing engineers or leading small teams. Ability to drive high-velocity execution in dynamic environments. Strong communication skills across technical and non-technical stakeholders.