Technical Product Manager (AI Builder)

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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

Job Title : Senior Product Manager (Forward Deployed)

Experience : 4 to 8 Years

Location : Bengaluru | Mumbai | Pune

Positions : 20

Work Mode : In-Office – 5 Days

Job Role :

We are looking for a Senior Product Manager – Forward Deployed to work closely with enterprise customers, understand complex business requirements, and translate them into AI-powered solutions using the UnifyApps platform.

The role requires a strong combination of Product Management, technical solutioning, enterprise integrations, GenAI, and customer-facing skills. You will own the customer journey from discovery and solution design through deployment, go-live, and outcome measurement.

Key Responsibilities :

• Work closely with enterprise customers to identify use cases and requirements.
• Build and deploy AI agents, automations and applications.
• Own technical & functional solution design and enterprise integrations.
• Conduct discovery workshops, demos and go-live activities.
• Define deployment success metrics and drive outcomes.
• Collaborate with Product & Engineering to turn customer needs into platform capabilities.
• Lead and mentor Forward Deployed Engineers.

Must Have :

✅ 4+ years of Product Management experience in product companies.

✅ Enterprise platform deployment & integration experience.

✅ Strong technical aptitude with GenAI & API integrations.

✅ Experience working with Engineering, Design & QA teams.

✅ Excellent presentation and communication skills.

✅ Strong problem-solving and execution mindset.

✅ Tier-1 B2C product or Series B+ B2B product company experience.

⭐ Preferred : Enterprise AI deployment experience, including agent evaluation, guardrails and observability.

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)

Location : Remote (India)

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.

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

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.

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 (City) - Pune Based Candidates Only

9

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

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 (City) - Pune Based Candidates Only

9

Mandatory ( Note ) - The 1st round will be in person, so we need candidates who are available to attend the interview physically.

We are looking for a highly strategic and execution-oriented Senior Product Manager / Product Manager – CMS & Digital Experience Platform to drive the evolution of Milestone’s AI-first CMS and Digital Experience capabilities.

This role requires a product leader who can deeply understand enterprise customer problems, market trends, AI-led content evolution, SEO/GEO dynamics, Personalization, and modern web experience requirements while partnering closely with Engineering, Design, GTM, Customer Success, and Enterprise Customers.

You will own product strategy, roadmap prioritization, customer outcomes, adoption metrics, Customer communication, and feature execution for our next-generation CMS platform.

Problems We Are Looking to Solve

• Enterprise-scale AI-driven content management
• Discoverability across Search and Generative AI ecosystems
• AI-powered content optimization and governance
• SEO/GEO-native digital experiences
• Conversion-focused, hyper-personalized customer journeys

Key Responsibilities

Strategic Vision & Leadership

• Define and execute product vision and roadmap\
• Drive AI-first product innovation
• Conduct market and competitive analysis
• Translate customer pain points into scalable solutions
• Understand customer churn and derive strategies to reduce future churn

Operational Excellence & Growth

• Own product lifecycle from ideation to launch
• Create PRDs, user stories, and documentation
• Drive roadmap execution with Engineering teams
• Monitor adoption, engagement, and retention KPIs

Innovation & Culture

• Champion AI-native product thinking
• Foster innovation and accountability culture
• Evangelize product capabilities internally and externally
• Stay ahead of CMS, Digital asset management and AI trends

Cross-Functional Alignment

• Collaborate with Engineering, UX, Marketing, Sales, and CS teams
• Partner with Product Marketing for GTM initiatives
• Support enterprise sales cycles and customer workshops

Customer Impact

• Act as voice of the customer
• Improve customer adoption and success outcomes
• Ensure measurable business impact

Talent & Empowerment

• Mentor junior product team members
• Promote ownership and continuous learning
• Strengthen product management best practices

Ideal Candidate Profile

The ideal candidate is a customer-centric product leader with strong experience in B2B SaaS platforms, CMS technologies, AI-led digital experiences, and enterprise-scale product management.

Required Experience & Qualifications

• 8+ years of Product Management experience in B2B SaaS
• Experience with CMS, Digital Experience Platforms, or Martech
• Strong understanding of APIs and modern web architectures
• Experience collaborating with Engineering and Design teams
• Strong analytical and communication skills

Key Focus Areas

• AI-native CMS innovation
• SEO/GEO-first digital experiences
• Enterprise content scalability
• Product-led growth and adoption

Capabilities

1. Product Strategy & Roadmapping

2. Enterprise SaaS Product Management

3. AI-first Product Thinking

4. Agile Product Development

5. Customer Discovery & Validation

6. Data-Driven Decision Making

7. Stakeholder Management

8. GTM Collaboration

KPI and Metrics

1. Product Adoption

2. Customer Engagement & Retention

3. Time-to-Market

4. Customer Satisfaction

5. Platform Performance

6. Revenue Influence

7. Product Usage Growth

8. Customer Success Outcomes

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field
• MBA preferred
• Product or Agile certifications are a plus

What We Offer

• Competitive compensation and incentives
• Opportunity to build AI-first products
• Exposure to global enterprise customers
• Career growth and leadership opportunities
• Collaborative and innovative culture

How to Apply

Interested candidates are invited to submit their resume and a cover letter outlining their qualifications and vision for the role plus previous experience align with key attributes, responsibilities, clear wins or learnings.   

Why Milestone

• AI-first Digital Experience Platform
• SEO/GEO-native CMS leadership
• Founder-led innovation culture