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AI Product Manager - Voice & Speech
AI Product Manager - Voice & Speech

AI Product Manager - Voice & Speech at Service Pack · Hyderabad · 2 - 5 years · ₹18L - ₹22L / yr · Raised funding · Posted 30 Jan 2023

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AI Product Manager - Voice & Speech

Alice Preetika's profile picture
Posted by Alice Preetika
2 - 5 yrs
₹18L - ₹22L / yr
Hyderabad
Skills
Artificial Intelligence (AI)
Voice recognition
Speech recognition
Roles:
  • Ensuring the success of new AI products by focusing on scalability, potential biases, and compliance.
  • Perform gap analysis on existing business data. Identify new data points.
  • Developing business cases for AI in new and existing products.
  • Work with executives and business line stakeholders to define the problems to solve with AI.
  • Help prioritise and rank the solutions, develop business cases.
  • Work closely with UI/UX, engineering and cross-functional teams to deliver with quick time-to-market and optimal products.
  • Formulating product requirements and identifying new opportunities with the help of customer feedback, market analysis, and usability studies.
  • Drive product launches including working with public relations team, executives, and other product management team members.
Requirements:
  • “Problem solving with AI” mindset.
  • Proven work experience in product management as an Associate Product/Product Manager.
  • Knowledge and experience with Machine Learning and different Voice & Speech AI concepts such as neural networks, natural language processing, speech-to-text conversion clustering techniques, etc.
  • Experience defining and developing a new product or service.
  • Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management .
  • Solid technical background with understanding and/or hands-on experience in software development and web technologies
  • Skilled at working effectively with cross functional teams in a matrix organisation.
  • MS/BS degree in Computer Science, Engineering or equivalent preferred.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Service Pack

Founded :
2021
Type :
Product
Size :
20-100
Stage :
Raised funding

About

Omni-Channel CX Automation Suite powered by AI. Our vision to transform Customer Experience using Artificial Intelligence.

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Location: Bengaluru

Work Mode: Work from Office

Experience: 5+ years

Department: Product Management

About LeadSquared

LeadSquared is a leading Sales CRM for high-velocity revenue teams, helping businesses manage leads, sales processes, customer interactions, marketing, and revenue workflows at scale.

 

We serve businesses where large sales teams manage high volumes of leads and customer interactions, making speed, prioritisation, automation, and effective sales execution critical to revenue growth.

 

Role Overview

We are looking for a Senior Product Manager – AI to own the roadmap and end-to-end execution of AI products within LeadSquared.

 

Key Responsibilities

 

  • Own the roadmap, prioritisation, and end-to-end execution for your AI product area.
  • Understand customer problems and identify where AI can create meaningful, scalable value and translate them into clear product requirements and scalable solutions.
  • Drive products from discovery and 0→1 development through launch, adoption, and iteration.
  • Build and scale end-user-facing AI experiences that work reliably within enterprise workflows. 
  • Make informed product decisions considering quality, latency, and scale trade-offs in production AI systems.
  • Work closely with Engineering, Design, AI/ML, Data, and GTM teams to ship high-quality products.
  • Define and track product adoption, engagement, customer outcomes, and business impact.
  • Drive GTM, adoption, and continuous product optimisation.

What We're Looking For

  • 5+ years of Product Management experience.
  • 2+ years of hands-on Product Management experience building AI products.
  • Strong B2B SaaS product experience.
  • Experience in 0→1 product development and launches.
  • Strong product discovery, prioritisation, roadmap management, and execution skills.
  • Familiarity with AI evaluations (evals), observability, guardrails, and human oversight.
  • Data-driven approach with strong understanding of product metrics.
  • Excellent communication, problem-solving, and stakeholder management skills.
  • Candidates from Tier 1 / Tier 1.5 / Tier 2 colleges preferred.

Good to Have

  • Experience building products using GenAI, LLMs, RAG, AI Agents / Agentic AI, or ML-based decision systems.
  • Experience in CRM, SalesTech, MarTech, or Enterprise SaaS.
  • Experience building AI products for sales, revenue, operations, or other enterprise users.
  • Experience taking an AI capability from an early prototype to a reliable, scalable enterprise product.
  • Candidates who have built AI side projects will have a preference. Share links to live products, prototypes, demos, GitHub repositories, agents, or apps you’ve built.
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Job Description


MyOperator is building AI-driven conversational surfaces — chatbots and voicebots that handle real business conversations, run structured journeys, pull from knowledge bases, and hand off to human agents when needed. We're looking for a Product Manager to own this domain: someone who genuinely understands how LLMs and RAG (Retrieval-Augmented Generation) systems work, and can turn that understanding into product decisions — what to build, which model tradeoffs to make, and how to know if a chatbot or voicebot is actually working.


This is a technical AI product role. You'll be defining journeys, knowledge base behavior, and evaluation criteria for systems where outputs are probabilistic, not deterministic — so the ability to reason about model behavior, failure modes, and retrieval quality matters as much as classic product skills.


About MyOperator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space.


MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.


Key Responsibility Areas

  • Own the conversational AI product roadmap — chatbot and voicebot journeys, knowledge base/RAG behavior, and model selection — writing specs that account for real LLM behavior and failure modes, not just ideal-case flows.
  • Define and maintain how success is measured — partner with engineering to build and evolve eval systems that track quality (accuracy, containment, hallucination rate) so every release has a clear bar to clear.


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  • Strong practical understanding of how LLMs work — prompting, context windows, tool/function calling, and their real-world limitations in production systems.
  • Solid understanding of RAG (Retrieval-Augmented Generation) systems — how retrieval, embeddings, and knowledge bases feed into model responses, and where these systems typically break down.
  • Working knowledge of the AI model landscape — tradeoffs between models on cost, latency, and accuracy — and how to translate that into build/model-selection decisions for a product.
  • Demonstrated ability to write specs for AI-driven product surfaces (chatbot/voicebot journeys, escalation/handover logic) that explicitly account for probabilistic model behavior and edge cases.
  • 4+ years as a Product Manager, with meaningful hands-on time owning an AI/LLM-powered product end to end.


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  • Hands-on background building or shipping chatbots or voicebots — design, integrations, and deployment.
  • Experience designing conversational journeys — structured, multi-step dialogue or task flows for chat or voice agents.
  • Experience building or defining eval systems/frameworks to measure chatbot or voicebot success (e.g., accuracy, containment rate, hallucination rate).
  • Familiarity with prompt engineering and iterating on prompts/journeys based on eval results.
  • Experience designing human-handover or escalation flows between a bot and a live agent.


This profile is not for

  • Candidates who treat "AI feature" as a checkbox without understanding how LLMs and RAG systems actually behave in production, including their failure modes.
  • Candidates focused purely on traditional, deterministic software product work with no interest in model behavior, prompt design, or evaluation methodology.
  • Candidates uncomfortable with ambiguity — AI product behavior is probabilistic, and specs need to account for that rather than assume fixed outcomes.


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Roles & Responsibilities

Product Strategy & Discovery

  • Identify customer, business, and market opportunities through stakeholder engagement, customer research, discovery workshops, and data analysis.
  • Define product vision, roadmap, value proposition, success metrics, and prioritization aligned with business objectives.
  • Translate business and customer needs into product requirements, user stories, PRDs, and acceptance criteria.
  • Own and continuously prioritize the product backlog based on business value, feasibility, dependencies, risks, and strategic priorities.


AI & Digital Innovation

  • Identify and evaluate opportunities to leverage Generative AI, automation, and emerging technologies across products and business processes.
  • Define AI-focused use cases, business cases, success metrics, user journeys, and MVP/PoC strategies.
  • Collaborate with AI/ML, data, architecture, and engineering teams to convert AI opportunities into scalable product solutions.
  • Drive adoption of AI across the product lifecycle and SDLC, including discovery, requirements management, development, testing, analytics, documentation, and support.
  • Contribute to enterprise-wide AI initiatives and help scale successful AI PoCs into production-ready solutions.


Presales, Consulting & Solutioning

  • Lead or contribute to RFP responses, proposals, client discovery sessions, workshops, and solution presentations.
  • Understand client challenges and translate them into digital transformation, modernization, and AI-driven product opportunities.
  • Develop solution concepts, use cases, product capabilities, roadmaps, value propositions, and implementation strategies.
  • Partner with engineering, UX, architecture, delivery, and commercial teams to define scope, estimates, assumptions, dependencies, risks, and solution feasibility.
  • Support client engagements and identify opportunities for account growth through product enhancements, modernization initiatives, and AI adoption.


Product Delivery & Governance

  • Partner with UX, engineering, QA, architecture, and delivery teams to ensure successful product execution and delivery.
  • Facilitate sprint planning, backlog refinement, UAT/SIT activities, release planning, production validation, and defect prioritization.
  • Monitor product KPIs, delivery metrics, adoption, business outcomes, risks, and dependencies.
  • Drive stakeholder alignment and continuous improvement throughout the product lifecycle.
  • Mentor and guide Product Managers and product team members to strengthen product thinking, decision-making, stakeholder management, and delivery excellence.


Customer & Business Outcomes

  • Leverage customer feedback, product analytics, experimentation, and market insights to drive continuous product improvement.
  • Lead adoption and successful rollout of new capabilities through effective stakeholder engagement, communication, and change management.
  • Ensure products and solutions deliver measurable customer, business, and operational outcomes.


Core Competencies

  • Product strategy, discovery, roadmap planning, prioritization, and backlog management.
  • Generative AI, AI product thinking, AI use-case identification, and digital innovation.
  • Presales, consulting, solutioning, RFP response management, and client engagement.
  • Strong business acumen with the ability to connect technology initiatives to business outcomes.
  • Excellent communication, presentation, facilitation, and stakeholder management skills.
  • Strong understanding of Agile/Scrum methodologies and end-to-end product delivery.
  • Ability to collaborate effectively with engineering, architecture, UX, QA, data, and AI/ML teams.
  • Strong analytical, problem-solving, and decision-making capabilities.
  • Ability to manage ambiguity, multiple workstreams, and senior client stakeholders.


Qualifications

  • B.E./B.Tech in Computer Science, Information Technology, Engineering, or an equivalent discipline.
  • MBA or certifications in Product Management, Business Analysis, or related fields preferred.
  • 10+ years of experience in Product Management, Product Ownership, or Business Analysis.
  • Experience working in Agile/Scrum environments with cross-functional technology teams.
  • CSPO, PSPO, CBAP, or CCBA certifications are desirable.

Location - India (Remote)

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Mayank Choudhary
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Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

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Mandatory(Experience 1)- Must have 7+ years of product management experience, with the most recent 3 years spent owning a consumer-facing product surface (app, web funnel, onboarding, checkout, or equivalent B2C surface

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Mandatory(Experience 2)- Must have a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene

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Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice

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Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, design teams and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders

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Mandatory(Product Writing & Agile Delivery) - Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools

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Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)

8

Mandatory (Age) - Candidate's age should be below 32 years

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Shubham Vishwakarma

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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