
Bolna is a Voice AI Platform purpose-built for India’s scale, linguistic complexity, and cost sensitivity. We enable enterprises to go live with thousands of concurrent calls in days, not months.

Bolna is a Voice AI Platform purpose-built for India’s scale, linguistic complexity, and cost sensitivity. We enable enterprises to go live with thousands of concurrent calls in days, not months.
Product: Voice AI orchestration platform focused on Indian languages and telephony
Stage & Funding: Seed — $6.3M announced Jan 20, 2026 (lead: General Catalyst)
YC: Y Combinator, Fall 2025 batch (YC F25)
Founding / Launch: Launched 2024
Team size (approx.): ~10 employees
Conversational voice automation for enterprise sales, support, and high-volume telephony use cases in India.
2024
Voice AI / Conversational AI
$6.3M
Round included participation from Y Combinator, Blume Ventures, Orange Collective, Pioneer Fund, Transpose Capital, Eight Capital and angel investors.
“Led by General Catalyst with participation from multiple institutional and angel investors”
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At Bolna AI , we’re building tools that change how teams actually use Voice AI in production — not demos, not prototypes, but systems that handle millions of real conversations every month .
We’re hiring a Business Forward Deployed Engineer (FDE) to sit right at the edge of customers, product, and AI execution. This role is about owning first value : taking a customer from “can this work for us?” to “this is live and critical to our business” - fast.
You’ll be the person customers trust to design, build, test, deploy, and iterate Voice AI agents end-to-end. High ownership, high context, high impact.
Our team is composed of IIT alums having worked at Bain, Atlassian, Zomato and are backed by top investors.
Responsibilities:
A. Own customer POCs end-to-end:
B. Build Voice AI agents from scratch:
C. Ship fast, in production:
D. Work directly with customers:
E. Close the loop with product & engineering
Qualifications:
High ownership mindset : Takes full responsibility from problem to outcome
Ambiguity-first execution : Makes fast, sound decisions with incomplete information
LLM & prompting intuition : Designs, iterates, and debugs real-world AI conversations
Customer-facing confidence : Leads live calls, pilots, and expectation-setting
Technical product fluency : Comfortable with APIs, integrations, and failure modes
Pressure-tested delivery : Manages multiple pilots while maintaining speed and quality
Why Join:
Apply now at https://jobs.gem.com/bolna.
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