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!

Product Manager - Voice AI Platform