Technical Product Manager Voice & Generative AI

Job Title: Technical Product Manager Voice & Generative AI

Role Overview

Technical Product Manager

Key Responsibilities

• Product Strategy & Roadmap

• Define and own the product vision for voice-based solutions powered by Gen AI.
• Develop and maintain a roadmap aligned with business objectives and emerging AI technologies.

• Solution Design & Delivery

• Collaborate with engineering and AI teams to design scalable voice architectures.
• Drive integration of Gen AI models (LLMs, speech-to-text, text-to-speech) into voice platforms.
• Ensure compliance with regulatory guidelines (e.g., TRAI, DLT) for voice communication.

• Stakeholder Management

• Work with internal teams (sales, marketing, operations) and external vendors to deliver projects on time.
• Translate business requirements into technical specifications.

• Performance & Optimization

• Monitor KPIs for voice interactions (accuracy, latency, engagement).
• Continuously improve conversational flows using AI-driven insights.

• Innovation & Research

• Stay updated on advancements in voice tech, NLP, and Gen AI.
• Evaluate new tools and frameworks for voice automation and personalization.

Required Skills & Qualifications

• Technical Background

• Bachelor’s/Master’s in Computer Science, Engineering, or related field.
• Strong understanding of

  speech technologies

  (ASR, TTS),

  NLP

  , and

  LLMs

  .
• Familiarity with cloud platforms (AWS, Azure, GCP) and APIs for voice services.

• Product Management

• 4+ years of experience in product management, preferably in AI or voice tech.
• Expertise in agile methodologies and product lifecycle management.

• Tools & Frameworks

• Experience with conversational AI platforms (Dialogflow, Rasa, or similar).
• Knowledge of Gen AI frameworks (OpenAI, Hugging Face, LangChain).

• Soft Skills

• Excellent communication and stakeholder management.
• Strong analytical and problem-solving skills.

Preferred Experience

• Prior experience in BFSI or regulated industries.
• Exposure to

  voice dialers

  ,

  contact center solutions

  , and

  compliance frameworks

  .
• Hands-on with

  prompt engineering

  and

  agentic AI architectures

  .