About the Company

As the world moves toward AI-native applications, one element matters more than anything: data.

We are building a platform that helps organizations unlock the value hidden within customer feedback. By centralizing data from multiple sources—including CRM platforms, support systems, collaboration tools, surveys, community forums, and customer conversations—into a unified intelligence layer, we enable teams to understand customer needs and make better product decisions.

Built on top of this foundation is an AI-powered platform that allows teams to query, monitor, and act on customer intelligence directly within their workflows. Our customers include some of the fastest-growing product-led technology companies as well as large global enterprises.

Backed by leading global venture capital firms, our engineering culture is AI-native from the ground up. Agents, LLMs, and applied machine learning are not side projects—they are central to how we build products. We operate at the cutting edge of agentic systems and continuously push the boundaries of what modern AI applications can achieve.

What You Will Do

- Convert product direction into phased technical plans, including estimates, milestones, dependencies, and risk assessments.
- Make thoughtful trade-offs across correctness, latency, user experience, AI/model behavior, reliability, cost, and delivery speed.
- Define transparent ownership boundaries across frontend applications, BFF layers, backend services, agent workflows, ML platforms, and data contracts.
- Review ERDs, PRDs, design documents,



and implementation plans to identify gaps before they become execution challenges.
- Drive planning and execution for complex initiatives while empowering area leads and senior engineers to maintain ownership.
- Partner closely with Product, Design, Engineering, and GTM teams to turn ambiguous problem statements into executable solutions.
- Influence technical direction through strong engineering judgment, architectural leadership, and hands-on involvement.
- Mentor senior engineers and contribute to engineering excellence through reviews, incident analysis, and proactive risk management.

What It Takes

- 9+ years of experience as a Senior Engineer, Technical Lead, or equivalent role.
- Demonstrated experience owning architecture and execution for large-scale product or platform initiatives spanning multiple teams.
- Strong foundation in distributed systems and modern software architecture.
- Exposure to agentic AI systems, machine learning engineering, MLOps platforms, and frontend/BFF architectures.
- Ability to own end-to-end product and technical problems rather than specializing exclusively in a single layer of the stack.
- Proven track record of converting ambiguity into actionable engineering plans.
- Excellent written communication skills, including design documentation, architectural reviews, trade-off analyses, and RCA documentation.
- Ability to challenge requirements constructively and collaborate effectively across Product, Design, Engineering, and GTM functions.
- High ownership mindset, attention to detail, and a low-ego, collaborative approach.

Skills:- Architecture, Distributed Systems and Artificial Intelligence (AI)

📌 SDE IV (Bengaluru)
🏢 Biz Staffing Comrade
📍 Bengaluru