Head of Engineering

About SuperBryn AI

SuperBryn AI is a voice AI evals and observability platform built with one goal: make voice AI reliable enough to serve the largest enterprises globally. We believe reliable voice AI is the foundation of the next major human-AI interface, and we're building the infrastructure layer that makes that possible.

We've raised $1.2M from Kalaari Capital, with backing from some of the most respected angels in the AI and enterprise space. We're a small, technically rigorous team with a flat structure and a strong bias for shipping work that matters.

The company is founded by Nikkitha Shanker, a serial entrepreneur who bootstrapped her last venture to $2M+ ARR and scaled it to 1M+ users across 140+ countries and Dr. Neethu Mariam Joy, whose PhD from IIT Madras and postdoc from King's College London gave her 14+ years of deep research in speech recognition and voice AI.

This is an in-office role based in HSR Layout, Bengaluru.

As Head of Engineering, you will own the technical core of the platform. You will write code, make architecture decisions, and be the person the team relies on when things need to get done. You will work directly with the founders and build a platform that serves the largest enterprises globally.

What You Will Own

• Own the full engineering org - architecture decisions, engineering culture, and delivery

• Build and ship the core platform: data ingestion, eval pipelines, real-time observability, and the developer-facing API layer

• Work hands-on - this is not a meetings-only role; you write code, review PRs, and stay close to the system

• Own the full engineering architecture, data pipelines, APIs, infra, and the eval engine at the core of the product

• Work closely with founders and engineering team to translate product direction into engineering decisions

• Ship reliable, scalable systems that our customers depend on in production

What We Are Looking For

Technical Background

• 4 to 6 years of software engineering experience, with substantial time at early-stage startups

• Demonstrable experience with LLM pipelines, prompt engineering, and AI evaluation or observability tooling

• Familiarity with voice agent infrastructure is a strong advantage: STT/TTS, telephony integrations (Twilio, Vonage, Plivo, Telnyx), real-time audio processing, or conversational AI platforms

• Strong backend and systems fundamentals: you've owned deployment, debugging, and infrastructure without a dedicated platform team behind you

• Expertise in AWS Infrastructure (EventBridge, ECS, EKS, RDS, Lambda, etc.)

• Proficiency in Python (FastAPI / Flask) and/or TypeScript / Node.js

• Comfortable with cloud infra: AWS or GCP, CI/CD

Product Thinking

• You engage with product decisions early, with a clear point of view, not just as an implementer

• You've pushed back on scope or approach when the engineering reality warranted it, and been right often enough to have earned that instinct

• You think about what the end user experiences, not just what the system diagram looks like

Startup Orientation

• You've built and shipped under real constraints: limited resources, evolving requirements, and no safety net of specialised teams

• High agency and ownership: you've been the person who figures it out when there's no playbook, and you take accountability for what you ship

• You're the kind of engineer who figures things out rather than waits for clarity

• You're comfortable being a multiplier before the team is large enough to need a manager

• Prior B2B SaaS experience, ideally selling into enterprise or mid-market

Culture and Collaboration

• SuperBryn's team brings together people from diverse backgrounds across India, and we value someone who adapts thoughtfully to that, in communication style, in collaboration, and in how feedback is given and received

• Low ego, high standards: you care that the right thing ships, not that it's attributed to you

• You give direct, honest feedback, and you expect the same in return

Bonus Points

• Experience building observability, analytics, or developer tooling products specially in AI

• Worked with voice AI infrastructure - Vapi, Retell, Livekit, Deepgram, ElevenLabs, or Twilio

• Familiarity with OpenTelemetry or observability tooling

• Prior experience as a founding engineer or early engineering hire

Why SuperBryn AI

• Competitive pay and meaningful early-stage equity and real ownership as an early hire

• Work with a high talent density team of researchers, engineers, and operators

• High ownership and direct impact from day one

• AI-first approach across product, engineering, and decision making

• Opportunity to build for global markets and solve real-world AI challenges

• Work on problems that can transform how people communicate, learn, and work

• Work at the intersection of the fastest-moving layer of AI right now "Voice AI"

How to Apply

If this sounds like you, we'd love to hear from you. Fill out a short application form and we'll get back to you.

https://forms.gle/mvFNtycRwhGg5RD4A