Cekura is a Y Combinator–backed startup redefining AI voice agent reliability. Founded by IIT Bombay alumni with research credentials from ETH Zurich and proven success in high-stakes trading, our team built Cekura to solve the cumbersome, error-prone nature of manual voice agent testing.

We automate the testing and observability of AI voice agents by simulating thousands of realistic, real-world conversational scenarios—from ordering food and booking appointments to conducting interviews. Our platform leverages custom and AI-generated datasets, detailed workflows, and dynamic persona simulations to uncover edge cases and deliver actionable insights. Real-time monitoring, comprehensive logs, and instant alerting ensure that every call is optimized and production-ready.

In a market rapidly expanding with thousands of voice agents, Cekura stands out by guaranteeing dependable performance, reducing time-to-market, and minimizing costly production errors. We empower teams to demonstrate reliability before deployment, making it easier to build trust with clients and users.

Join us in shaping the future of voice technology. Learn more at cekura.ai.

We are a close-knit, high-talent-density team (IIT Bombay, IIT Delhi, IIT Kanpur, CMU, Purdue alumni) and have grown ~7x in the last 7 months. We are looking for our Founding BDR to scale to our next level. This is a track role to Founding AE or GTM leadership in 6-12 months.

What You Will Do

1. Architect the Outbound Engine

• Systems Thinking: Use Clay, Apollo, and Instantly to build automated, highly personalised outbound flows. You don't just send emails; you build systems that find the right person at the right time.
• Multichannel Execution: Multichannel reachouts across LinkedIn, Email, and Cold Calls to book 20+ high-quality meetings per month.

2. Technical Qualification

• Speak "Engineer": You will be prospecting to CTOs and Heads of Engineering. You need to understand AI infrastructure well enough to have a peer-level conversation, not just read a script.
• Feedback Loop: Act as the "eyes and ears" of the market. Feed competitive intelligence and objection patterns back to the Product and Growth teams.

3. Scale the Playbook

• Writing the Manual: Document every winning subject line, objection handle, and sequence. You are building the foundation for the next 10 BDRs we hire.
• Data Governance: Maintain a pristine CRM. You believe that if it isn't in the CRM with 100% accuracy, it didn't happen.

Requirements

• 1+ Year in B2B SaaS: Ideally in a technical space (DevTools, AI, Data Infra).
• Automation Mindset: You find manual data entry offensive. You are comfortable (or eager to learn) using AI tools, scrapers, and sequencing software to multiply your output.
• Relentless Agency: You don't wait for a lead list. You build it. You thrive in the ambiguity of a "0-to-1" environment.
• Elite Communication: You can distil complex technical value propositions into 2-3 punchy sentences.

Bonus Points

• AI-Native: You use Claude or Cursor to speed up your workflow.
• Technical Background: You’ve dabbled in code or understand the modern AI stack (LLMs, RAG, Evals).

What We Offer

• Transparent accelerators. If you crush your meeting goals, you get paid significantly more.
• Fast Track Career Progression: This is a path to Founding AE or GTM Leadership in 6-12 months
• Founding Equity: You are joining early enough to own a piece of the rocket ship.
• The "Elite" Network: Work alongside world-class engineers from IIT and top US research universities.
• Unlimited Tooling: If a tool makes you 10% more effective (Clay, Navigator, etc.), we buy it. No questions asked.

Our platform is powered by Django on the backend for robust, secure server-side operations, and React on the frontend for a dynamic, modular user experience. We deploy on AWS, ensuring scalable and reliable cloud infrastructure, and use Redis with Celery for efficient queuing and background task management. On the AI side, we integrate cutting-edge models like GPT, Claude, Gemini, and Deep Seek to deliver top-notch accuracy in voice agent evaluations.