Exotel - Product Head - Voice AI

About Exotel:

Exotel is a Customer Engagement Platform for businesses, built for interactions handled by both people and AI agents.

We provide the stack behind those interactions voice, SMS, WhatsApp, RCS and the telephony infrastructure underneath it.

Our customers use Exotel to sell, support, collect payments, resolve issues and serve millions of their own customers.

Voice AI is a major part of where this is going.

Our Voice AI agents answer and place phone calls, reason with an LLM, integrate with customer systems and complete tasks.

What You Will Own:

Strategy - Decide Where We Win:

- Which customer segments and use cases are worth pursuing.

- Where Voice AI can create meaningful business value.

- Where we have a genuine competitive advantage.

- What we should build, buy, partner for or ignore.

Product - Build What Customers Will Pay For:

- Set the product direction for Voice AI.

- Decide which workflows agents should handle end-to-end.

- Own the customer experience including latency and reliability.

Business - Own the Number:

- Build the business plan with GTM and Finance.

- Set pricing and commercial guardrails.

- Balance growth with profitability.

Economics - Know What Every Interaction Costs:

- Build and own the unit-economic model.

- Define cost-per-minute targets.

- Drive down inference and infrastructure costs.

Customers & GTM - Stay Close to the Market:

- Join strategic customer calls and run product demonstrations.

- Turn market feedback into product, pricing and positioning decisions.

Build a High-Agency Pod:

- Lead a self-contained Voice AI pod comprising Product, Engineering, Delivery, and Forward-Deployed Engineering.

- Remove dependencies that slow execution.

Turn Customer Work Into Product:

- Continuously reduce dependency on custom implementation.

- Identify patterns across customers for product investment.

What We're Looking For:

- Built and launched an AI product used by paying customers in production.

- Taken a product from 0-1 or early scale.

- Owned revenue, gross margin, P&L or meaningful business metrics.

- Led cross-functional Product and Engineering teams.

- Operated with significant autonomy and incomplete information.

Particularly Relevant Experience:

- Voice AI / Conversational AI.

- LLM applications and inference economics.

- CPaaS / Contact Centre / Telephony.

- Enterprise SaaS with usage-based pricing.