Product Manager – Voice AI Platform
Remote | Full‑time
About Us: We are building an intelligent voice AI platform that handles real‑time phone conversations—both inbound and outbound—using cutting‑edge LLMs (Gemini, OpenAI) with sub‑second response times. Our system autonomously queries databases, retrieves documents, and takes actions during live calls, replacing traditional IVRs and scripted bots with natural, context‑aware conversations. We’re a small, fast‑moving team looking for a Product Manager who can own the product vision and translate customer needs into a roadmap that balances speed, quality, and enterprise readiness.
Key Details
- Experience: 3+ years
- Salary: Confidential (based on experience)
- Expected Notice Period: 15 days
- Shift: GMT+05:30 Asia/Kolkata (IST)
- Opportunity Type: Remote
- Placement Type: Full‑time permanent
What You’ll Own
- Voice Experience: Define and refine inbound and outbound call flows—how the AI greets, responds, handles silence, interruptions, off‑topic queries, and graceful call endings. Own the voice UX: tone, pacing, escalation logic, and when the AI should hand off to a human. Design scenario templates for use cases such as collections, delivery reminders, payment confirmations, and customer support.
- Product Strategy & Roadmap: Prioritize features across multi‑model voice support, CRM integrations, analytics, multi‑tenant architecture, and new AI agent capabilities. Define the CRM integration strategy—Salesforce, HubSpot, Zoho—data flows, and how call outcomes map to CRM workflows. Own the multi‑model strategy: choose LLM providers based on cost, quality, and latency trade‑offs.
- Metrics & Analytics: Define KPIs such as call resolution rate, average handle time, fallback/escalation rate, voice‑to‑voice latency, and cost per call. Design the analytics dashboard and drive data‑informed decisions on prompt tuning, model selection, and timeout configurations.
- Customer & Market: Talk to customers, understand call‑center pain points, and translate insights into product improvements.
Responsibilities
- Build demo flows and sales enablement materials.
- Define pricing strategy (per‑minute, per‑call, usage‑based tiers).
- Work directly with engineers on feasibility, trade‑offs, and sprint planning.
- Write clear PRDs with acceptance criteria.
- QA voice flows yourself and iterate on prompts.
Requirements
- 3+ years as a Product Manager shipping B2B SaaS products.
- Conversational AI or telephony experience with voice bots, IVRs, contact‑center software, or conversational AI platforms.
- Technical depth to read architecture diagrams, understand API contracts, and make informed opinions on latency vs quality trade‑offs.
- Customer empathy: conduct interviews, synthesize feedback, and make hard prioritization calls.
- Strong written communication: clear PRDs, concise Slack messages, structured roadmap docs.
Nice to Have
- Experience with LLMs / prompt engineering.
- Background in contact‑center metrics (AHT, FCR, CSAT, DSAT).
- Familiarity with CRM platforms (Salesforce, HubSpot) from a product integration perspective.
- Experience with usage‑based pricing models.
- Startup experience—comfortable with ambiguity and wearing multiple hats.
Bonus Points
- Experience at or with Twilio, Dialpad, Five9, Genesys, Bland AI, Vapi, Retell, Voiceflow, or similar.
- Shipped a real‑time audio/video product.
- Can write basic Python or SQL.
What You’ll Work With
- Stack: FastAPI, LangGraph, Gemini Live API, OpenAI Realtime API, PostgreSQL + pgvector, Redis, Twilio.
- Team: Small engineering team with direct access to founders.
- Stage: Early – your decisions will shape the product direction.
Why Join
- Greenfield opportunity—define voice AI for enterprises.
- Real technology—multi‑provider failover, real‑time audio streaming, hybrid RAG with SQL + vector search, sub‑second voice responses.
- Impact—every product decision directly affects the business.
How to Apply
- Step 1: Click “Apply” and register or log in on our portal.
- Step 2: Complete the screening form and upload an updated resume.
- Step 3: Increase your chances to get shortlisted and meet the client for the interview.