Engineering Manager – Product Engineering / AI Products

About the Role

We are looking for a hands-on Engineering Manager to lead a Bengaluru-based product engineering team responsible for delivering AI-powered banking products across voice, chat, and digital channels.

This role is part of our India offshore development team and requires close partnership with US-based product, engineering, AI, customer, and leadership teams. You will be responsible for driving execution, technical quality, delivery predictability, and engineering ownership from the Bengaluru team.

This is not a pure people-management role. We need an engineering leader who can stay close to architecture, code quality, debugging, production reliability, and team execution.

What You’ll Own

• Lead and grow a high-performing Bengaluru engineering team.
• Drive execution across product features, backend services, integrations, platform improvements, and reliability initiatives.
• Partner with US stakeholders to clarify priorities, manage dependencies, and deliver with predictability.
• Stay involved in architecture reviews, code reviews, technical tradeoffs, debugging, and production issue resolution.
• Ensure systems are scalable, secure, observable, maintainable, and production-ready.
• Build a culture of ownership, engineering discipline, accountability, and continuous improvement.
• Mentor engineers, senior engineers, and tech leads to improve technical depth and execution maturity.

What You’ll Do

Lead Product Engineering Execution

• Convert product and customer priorities into clear engineering plans.
• Manage sprint execution, estimation, release readiness, risk tracking, and delivery communication.
• Ensure the offshore team operates with clarity, urgency, and accountability.
• Identify blockers early and drive resolution across teams.

Stay Hands-On Technically

• Review architecture, APIs, service design, data flows, and integration patterns.
• Guide engineers on scalable design, clean implementation, testing, and maintainability.
• Help debug complex backend, performance, reliability, and production issues.
• Raise the quality bar through strong technical judgment and practical engineering standards.

Drive AI-First Engineering

• Support development of AI-powered capabilities across voice, chat, automation, and employee-assist workflows.
• Work with AI, data, product, and platform teams to integrate AI capabilities into production systems.
• Encourage responsible use of LLM tools, automation, and AI-assisted development.
• Help ensure AI-driven product experiences are reliable, testable, secure, and customer-ready.

Improve Quality and Reliability

• Strengthen practices across code reviews, testing, CI/CD, observability, monitoring, and incident learning.
• Track quality metrics such as latency, reliability, defects, user impact, and operational stability.
• Balance fast delivery with long-term maintainability, reliability, and security.

What We’re Looking For

Required Qualifications

• 8+ years of software engineering experience, with strong backend, platform, or product engineering depth.
• 2+ years of engineering management, team leadership, or technical leadership experience.
• Strong hands-on background in backend systems, APIs, distributed systems, scalable architectures, and production-grade software.
• Ability to deep-dive into architecture, code, data flows, integrations, debugging, and production issues.
• Experience leading engineers while remaining technically involved.
• Strong understanding of system design, microservices, cloud systems, CI/CD, testing, observability, and reliability.
• Experience delivering customer-facing or business-critical product systems in production.
• Strong execution discipline across planning, estimation, release management, quality, and risk tracking.
• Ability to work effectively with US-based product, engineering, and leadership teams in a distributed/offshore model.
• Strong written and verbal communication skills.
• High ownership mindset with the ability to operate in ambiguity.
• Willingness to work from the Bengaluru office 5 days a week.

Strongly Preferred Qualifications

• Experience building or managing teams working on AI-powered, ML-powered, LLM-powered, conversational AI, or automation products.
• Experience with voice, telephony, real-time chat, messaging, streaming, or low-latency systems.
• Experience in fintech, banking, payments, enterprise SaaS, customer experience platforms, or regulated environments.
• Exposure to agentic AI systems, LLM workflows, RAG, embeddings, evaluation pipelines, or AI-assisted engineering tools.
• Experience with cloud-native systems using AWS, GCP, or Azure.
• Experience with observability, monitoring, incident response, performance tuning, and reliability engineering.
• Experience working with globally distributed teams across India and US time zones.
• Prior experience in a high-growth startup or high-accountability product engineering environment.

Why Join Interface.ai

• Work on AI-native products transforming banking experiences.
• Build systems across voice, chat, automation, personalization, and financial workflows.
• Join a high-growth company with strong product-market fit.
• Work closely with global product, engineering, AI, and customer teams.
• Lead a Bengaluru engineering team where strong ownership, quality, and execution have visible impact.