Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant.
We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies.
Ultimately, our mission is to drive financial well-being for millions of consumers.
With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.
