Product Manager - Voice AI Platform

Experience: 3.00 + 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 position(Payroll and Compliance to be managed by: ADNA)

(*Note: This is a requirement for one of Uplers' client - ADNA)

What do you need for this opportunity?

Must have skills required:

Experience with LLMs / prompt engineering, Experience with usage-based pricing models, Familiarity with CRM platforms, Conversational AI or telephony experience, Architecture Diagrams, B2B Saas products

ADNA is Looking for:

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.

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 different use cases (collections, delivery reminders, payment
  
  
  

confirmations, 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 — which platforms first (Salesforce, HubSpot, Zoho), what data
  
  
  

flows matter, and how call outcomes map to CRM workflows

• Own the multi-model strategy: when to use which LLM provider based on cost, quality, and latency
  
  
  

Tradeoffs

Metrics & Analytics

• Define the KPIs that matter: call resolution rate, average handle time, fallback/escalation rate,
  
  
  

voice-to-voice latency, cost per call

• Design the analytics dashboard — what do customers need to see? What do we need internally?
• Drive data-informed decisions on prompt tuning, model selection, and timeout configurations
  
  
  

Customer & Market

• Talk to customers, understand their call center pain points, and translate that into product
  
  
  

Requirements

• Build demo flows and sales enablement materials
• Define pricing strategy (per-minute, per-call, usage-based tiers)
  
  
  

Cross-Functional

• Work directly with engineers on feasibility, tradeoffs, and sprint planning
• Write clear PRDs with acceptance criteria that engineers can execute against
• QA voice flows yourself — call the system, test edge cases, iterate on prompts
  
  
  

What We''re Looking For

Must Have

• 3+ years as a Product Manager shipping B2B SaaS products
• Conversational AI or telephony experience — you''ve worked on voice bots, IVRs, contact center
  
  
  

software, or conversational AI platforms

• Technical depth — you can read an architecture diagram, understand API contracts, and have
  
  
  

informed opinions on latency vs quality tradeoffs

• Customer empathy — you''ve done customer interviews, synthesized feedback, and made hard
  
  
  

prioritization calls

• Strong written communication — clear PRDs, concise Slack messages, structured roadmap docs
  
  
  

Nice to Have

• Experience with LLMs / prompt engineering (you''ve tuned prompts and evaluated model outputs)
• 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, wearing multiple hats
  
  
  

Bonus Points

• You''ve worked at or with: Twilio, Dialpad, Five9, Genesys, Bland AI, Vapi, Retell, Voiceflow, or
  
  
  

similar

• You''ve shipped a real-time audio/video product
• You can write basic Python or SQL to explore data yourself
  
  
  

What You''ll Work With

• Stack: FastAPI, LangGraph, Gemini Live API, OpenAI Realtime API, PostgreSQL + pgvector, Redis,
  
  
  

Twilio

• Team: Small engineering team, direct access to founders
• Stage: Early — your decisions will shape the product direction
  
  
  

Why Join

• Greenfield opportunity — you''re not inheriting a legacy product, you''re defining what voice AI looks
  
  
  

like for enterprises

• Real technology — this isn''t a wrapper around ChatGPT. We have multi-provider failover, real-time
  
  
  

audio streaming, hybrid RAG with SQL + vector search, and sub-second voice responses

• Impact — every product decision directly affects ho
  
  
  

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!