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!
