Product Manager at MyOperator - VoiceTree Technologies · Remote only · 5 - 8 years · ₹20L - ₹25L / yr · Bootstrapped · Remote only · Posted 28 Sep 2026
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.
Requirements — Must Have
- 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.
Requirements — Good to Have
- 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About MyOperator - VoiceTree Technologies
About
MyOperator is a Business AI Operator and a category leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform.
Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.
Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement.
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The Mandate: Lead the Generative AI revolution at Habuild.
Habuild is the world’s largest online yoga community, reaching over 1.8 Crore users. We are fully bootstrapped, profitable, and growing at a triple-digit YoY rate. We are looking for an elite Product Manager (GenAI) to join our core team in Bangalore and take full ownership of our AI-driven wellness initiatives.
About the Role: You will build the intelligence layer that guides millions through their daily health journey. This is a Zero-to-One ownership role at the intersection of consumer psychology, conversational AI, and wellness. You won’t just be managing a roadmap; you will be architecting the conversational solutions that make our platform intuitive, empathetic, and impactful for a non-tech-savvy audience (45+).
Key Responsibilities:
- Own the GenAI Vision: Identify high-impact conversational use cases (e.g., personalized coaching, subscription handling, habit-reinforcement) and define the roadmap from ideation to public launch.
- Technical Architecture: Collaborate with engineering to select and integrate the GenAI stack, including LLMs (OpenAI, Anthropic, Gemini), RAG pipelines, and vector databases, ensuring a balance between performance, latency, and cost.
- Prompt Engineering & Data: Work hands-on with chat logs and documentation to perform iterative prompt engineering and build retrieval pipelines that ensure contextual accuracy.
- Design Trustworthy Flows: Craft on-brand conversational experiences, including fallback logic and escalation triggers, ensuring our AI feels human and supportive.
- Data-Driven Iteration: Define KPIs (resolution rate, accuracy, user satisfaction), interpret complex data, and run high-velocity experiments to optimize the user experience.
Skills & Experience:
- Experience: 4-10 years of total product management experience, with at least 1 year building Generative AI or NLP-based products (chatbots, virtual assistants).
- Technical Fluency: Familiarity with LLM APIs, vector databases, and RAG frameworks. You are comfortable discussing technical logic (Python, prompt engineering) with our engineering team.
- User-Centered Design: Strong empathy for the user; ability to craft intuitive experiences for people who aren't "tech-savvy."
- Quality Ownership: A high bias for shipping polished, reliable solutions. You have an eye for edge cases, hallucinations, and unintended behaviors.
- Communication: A clear, concise communicator who bridges the gap between engineering, customer care, and leadership.
The "Habuild" Experience: To truly align with our mission, we ask that you experience our platform firsthand. During the process, we encourage you to join our free yoga program via habit.yoga and share your feedback on how we can improve.
Why Join Habuild?
- Real Impact: Your AI products will directly improve the well-being of millions who rely on us every morning.
- True Ownership: You define the vision, the stack, and the roadmap. No VC red tape—just pure execution.
- Compensation: We offer a top-tier cash salary and substantial ESOPs.
- Mission-Driven: Join a profitable, fast-scaling movement where your work is visible and meaningful from Day 1.
Location: In-office (Bangalore)
Product Manager – AI/GenAI
Our AI platform that lets people ask questions of their enterprise data in natural language and get trustworthy answers. The hard part isn't the model — it's the fit between what the product can genuinely do and what customers actually need, over data that is never as clean as anyone hopes. We're hiring a Product Manager to own that fit: to do the detailed thinking on customer pain, competitive landscape, and where the technology is going, and to turn it into a sharp, defensible product proposition and roadmap. You'll work closely with the CTO (who currently carries this thinking) and become the person who owns the depth beneath it.
What you'll own
• Proposition & positioning. Take fuzzy capability and turn it into a clear, honest, defensible articulation of what Jiva is, who it's for, and why it wins. Kill the gap between what's sold and what's deliverable.
• Customer intelligence (within the current structure). Sales and Delivery own the customer relationship today; you build the customer picture through them —mining PoC post-mortems, win/loss, readiness audits, sales-call notes, and Delivery's ground truth. Extract real jobs-to-be-done, separate stated wants from underlying pain, and bring a synthesized customer voice into the room. Over time, earn a path to direct customer contact — but you'll start by getting more
out of the signal the field teams already carry than anyone does today.
• Competitive & technology intelligence. Track the space — RAG, text-to-SQL, tabular/relational foundation models, agentic systems, the commercial players — and synthesize it into product direction. Know what's real and what's marketing.
• Requirements & roadmap. Translate the above into crisp requirements and a prioritized roadmap, in partnership with Engineering. Make the trade-offs explicit.
• Sales & Delivery enablement. Own the "what we can honestly promise" story so field teams stop overselling and start qualifying. You are the source of truth on capability boundaries.
Must-haves
• 5+ years in B2B / enterprise product management, ideally on data, analytics, AI/ML, or platform products.
• Demonstrated ability to frame a proposition — you can show us a product or feature where you turned raw capability into a positioning that won customers. Portfolio evidence, not a claim.
• Technical fluency in AI/data. You understand RAG, LLMs, text-to-SQL, and data quality well enough to judge feasibility vs. hype and to earn engineers' respect. You don't need to code; you need to reason.
• Customer discovery skill — and the resourcefulness to apply it
indirectly. You've run structured discovery and can distinguish what customers say from what they need. Just as important here: you can extract sharp customer insight secondhand — through sales and delivery teams, deal histories,
and product usage — because you won't have direct customer access on day one.
• Evidence-driven and structured. You validate before you evangelize. Strong written thinker — you can put a proposition on one page and defend it.
Nice-to-have
• Exposure to NL→SQL, semantic layers, knowledge graphs, or enterprise data governance.
• 0-to-1 or turnaround experience — comfort building the function, not just running it.
• Experience selling into or building for regulated / data-sensitive enterprises
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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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Senior Product Manager – AI / B2B SaaS
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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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
6
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)
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Mandatory (City) - Pune Based Candidates Only
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Mandatory ( Note ) - The 1st round will be in person, so we need candidates who are available to attend the interview physically.
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 (City) - Pune Based Candidates Only
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Mandatory ( Note ) - The 1st round will be in person, so we need candidates who are available to attend the interview physically.
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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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile
2
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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5
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)
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Mandatory (Age) - Candidate's age should be below 32 years
Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile
2
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
3
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
4
Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice
5
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
6
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
7
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
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon