Founding AI Product Manager at AI-first marketing company building for global-clients · Mumbai · 3 - 8 years · ₹30L - ₹65L / yr · Posted 19 Jul 2026
Founding AI Product Manager
at AI-first marketing company building for global-clients
We're building in a market that hit $47B in 2026 and is on track to hit $107.5B by 2028 and we're not chasing that opportunity from the sidelines. Our founding team brings marketing expertise from Kotak and Amazon paired with deep AI chops. We were selected into Google's AI Accelerator program, and we already have paying customers like Kotak and Myntra using the product in production.
Join us early and help build the infrastructure that turns AI marketing adoption (already at 88%) into real, scaled results for customers who are already paying for it, not case studies.
Role Name: Founding Product Manager, Applied AI
Location: Mumbai • Hybrid •
Reports to: CTO
WHAT THIS ROLE ACTUALLY IS
Weve built a multi-agent AI system for marketing. It works well out of the box but every client (their data, workflows, brand rules, compliance constraints, output preferences) is different. Generic doesn’t ship results. Customised does.
This role is the bridge: you sit between our agent architecture and the client’s reality. You understand both deeply, and you make the agents do what each specific client needs them to do.
You’re a PM who knows the spec-to-engineer handoff is where products die. So you don’t hand off. You open Claude Code or Codex and ship the change yourself.
WHAT YOU'LL DO
Day-to-day split: roughly 60% on client work, product judgment, and shaping what to ship — 40% directly in Codex and Claude Code shipping it.
· Own client outcomes end-to-end. From discovery to live deployment, you are the person responsible for whether the agents actually solve the client’s problem.
· Translate ambiguity into working systems. Clients don’t know what they want until they see it. You probe, prototype, demo, iterate — without waiting for an engineer to be free.
· Customise the agents yourself. Tune prompts, build new agent capabilities, configure workflows, wire up integrations. Codex and Claude Code do the heavy lifting; your product judgment does the steering.
· Diagnose creative problems sharply. When a CMO says “this doesn’t feel right,” you can question intelligently — is it the prompt, the input brief, the brand guidelines themselves, or the client’s own confusion? Most PMs nod and forward to engineering. The good ones diagnose first, then fix.
· Feed learnings back to core product. Anything that gets customised 3+ times becomes a platform feature. You decide what graduates.
· Build the playbook. As we scale from 10 to 50 to 100 clients, the customisation patterns you create, become the foundation others work from.
WHAT YOU NEED
· Real product judgment. You can hear “we need a dashboard” and figure out the actual problem is “the marketing director doesn’t trust the agent’s decisions yet.” You’ve done this before, in a role where the outcome was on you.
· Hands-on technical ability. You don’t need a CS degree, but you must be able to read code, write code with AI tools, debug, and ship. If you’ve never opened Claude Code or Codex and built something real, this role isn’t for you. Coding is part of the daily job, not an occasional adventure.
· Comfort with agents as a system. You understand how LLMs fail, why prompts drift, what context engineering means, when to use tools vs. fine-tuning, why eval harnesses matter. If “MCP,” “tool use,” and “agent harness” feel like jargon, this isn’t the role.
Client-facing instincts. Comfortable in a room with a CMO, an enterprise IT head, and a junior brand manager — and you can switch register for each in the same meeting.
· Creative literacy. You don’t need to be a designer. You do need to be able to tell the difference between “this output is technically broken” and “this output is technically fine but creatively wrong” — and chase the right thread.
· Bias toward shipping. A working hack today beats a clean design next quarter.
YOU'LL THRIVE HERE IF
· You’re a PM who realised the engineer handoff is where your products die.
· You’ve quietly learned to ship in Claude Code or Cursor on the side because you got tired of waiting.
· You want a role where coding ability is upside, not heresy.
· You like marketing as a domain — or you’re willing to fall in love with it.
YOU WON'T THRIVE HERE IF
· You want to write strategy decks more than you want to ship features.
· You think “PM doesn’t code” is a principle worth defending.
· You think AI is overhyped (we don’t).
· You need a fully scoped backlog and weekly sprint rituals.
Shubham Vishwakarma
Full Stack Developer - Averlon
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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.
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- Conversion-focused, hyper-personalized customer journeys
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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
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- 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
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Customer Impact
- Act as voice of the customer
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- Ensure measurable business impact
Talent & Empowerment
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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.
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- 8+ years of Product Management experience in B2B SaaS
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- AI-native CMS innovation
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Capabilities
1. Product Strategy & Roadmapping
2. Enterprise SaaS Product Management
3. AI-first Product Thinking
4. Agile Product Development
5. Customer Discovery & Validation
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7. Stakeholder Management
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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
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- 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
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Why Milestone
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-Turn ambiguous ideas into clear product requirements and workflows.
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- Communicate customer problems, edge cases, and product intent clearly to engineers and designers.
- Work closely with engineering throughout implementation rather than simply handing over a PRD.
- Test the product yourself and continuously improve it based on actual usage.
### Customers & Market
- Speak directly with customers and prospects.
- Understand how they currently solve problems and where existing tools fail.
- Run product demos and gather structured feedback.
- Separate individual customer requests from broader product opportunities.
- Use customer conversations to continuously refine product strategy.
### Launch & Growth - Own launch strategy for the products and features you build.
- Define positioning, messaging, demos, onboarding, and initial adoption strategy.
- Work across product, engineering, sales, and customers to make launches successful.
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## What We're Looking For
-You likely have **2–4 years of experience** across product, engineering, startups, consulting, AI, or related roles. More importantly, you should have: - **~1 year of hands-on experience building with LLMs, agents, or AI applications.**
- Built actual AI workflows rather than only used ChatGPT or managed an AI project.
- Strong product judgment and ability to simplify complicated problems. - Comfort working with engineers and understanding technical trade-offs.
- Ability to perform deep market and customer research independently. - Strong written and verbal communication.
- High ownership — you naturally move from identifying a problem to getting something shipped.
- Comfort operating in an environment where the answer is often not known beforehand.
## Two Traits We Care About Deeply
### Constraint Thinking Great product people don't start with: *"What could we build?"* They start with: *"Given our users, technology, time, team, data, and constraints, what is the smartest thing we can build?"*
We value people who can reduce a large possibility space into a small number of high-leverage decisions. You should be able to distinguish between: -
interesting vs. useful,
- possible vs. reliable, AI Product Manager 2 / 4 AI Product Manager - demoable vs. production-ready,
- customer requests vs. underlying problems,
- AI capability vs. AI product.
### Grounded Energy AI moves incredibly fast, and it is easy to either become overly skeptical or overly excited. We want someone who has **high energy without hype**. You should be excited enough to constantly experiment with new technology, while grounded enough to recognize its limitations. You should naturally ask:
- Does this actually work?
- How often does it fail?
- What happens at scale?
- Can we evaluate it?
- Will customers actually change their behaviour for this?
- Is AI even necessary here?
## You Might Be a Great Fit If You have independently done things like: - Built an agent over a weekend to test a product idea.
- Compared multiple LLMs for a real use case.
- Created an eval dataset to test AI quality.
- Used tools such as Claude Code, Codex, Cursor, LangGraph, OpenAI Agents SDK, MCP, Langfuse, or similar systems.
- Automated parts of your own product or research workflow with agents.
- Interviewed users and changed the product based on what you learned.
- Gone from idea to prototype to customer feedback to production. - Read product documentation, GitHub repos, Reddit discussions, research papers, and competitor products to understand a market deeply.
## This Role Is Probably Not For You If
- You primarily see PM as backlog management and sprint coordination. - You need detailed requirements before you can start working.
- You prefer delegating prototyping and experimentation entirely to engineering.
- You haven't spent meaningful time building with modern AI tools.
- You enjoy creating large strategy documents more than testing ideas with users.
- You are uncomfortable making decisions with incomplete information.
## What Success Looks Like Within your first few months, you should be able to independently: AI Product Manager 3 / 4 AI Product Manager - understand a customer problem,
- research the market,
- identify a promising product opportunity,
- prototype an AI workflow,
- define how its quality should be evaluated,
- work with engineering to productionize it,
- speak with early users,
- launch it,
- measure adoption,
- and recommend what we should do next.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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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.
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- 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.
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.
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Key Responsibilities :
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✅ 4+ years of Product Management experience in product companies.
✅ Enterprise platform deployment & integration experience.
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✅ Excellent presentation and communication skills.
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VerbaFlo.ai is a fast-growing AI SaaS startup building a next-generation AI automation platform for real estate, PBSA, and enterprise teams — powering conversations, workflows, campaigns, and decision-making across channels. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions, as VerbaFlo scales rapidly across the UK, EU, and the US.
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We are looking for a sharp Product Manager to help scale and evolve VerbaFlo’s AI automation platform, which is already live with real estate, PBSA, and enterprise customers across multiple markets. You will work closely with engineering, AI, design, and customer-facing teams to identify high-impact problems, define solutions, and ship features that deepen the value customers get from VerbaFlo every day. This is an ideal role for an experienced product manager who is comfortable going deep on technology, can own significant areas of the platform end to end, and wants to help shape product direction at a fast-scaling AI company.
Responsibilities
- Own the end-to-end product lifecycle for features and modules, from problem discovery to launch and iteration.
- Scale and evolve the core platform as our customer base grows, balancing new capabilities with reliability.
- Conduct customer discovery through interviews, call reviews, and feedback sessions across the UK, EU, and US.
- Translate customer and business needs into clear PRDs, user stories, and acceptance criteria.
- Prioritise the roadmap using data, customer impact, and business value, and communicate trade-offs clearly.
- Work closely with engineering on scoping, technical trade-offs, sprint planning, and delivery.
- Partner with AI/ML engineers to define use cases for LLM-powered agents, voice, and conversational workflows. Define evaluation criteria for AI features — accuracy, latency, hallucination rates, and conversation quality.
- Write and iterate on prompts, conversation flows, and agent behaviours alongside the AI team.
- Collaborate with design to create intuitive user journeys, wireframes, and prototypes.
- Define success metrics and build dashboards to track adoption, engagement, and customer outcomes.
- Analyse product usage data and conversation logs to identify gaps and opportunities.
- Run experiments and A/B tests to validate hypotheses and improve product performance.
- Coordinate launches with sales, marketing, and customer success, including release notes, demos, and enablement.
- Support integrations with CRMs, property management systems, and third-party platforms used by our customers.
- Gather and synthesise feedback from sales calls, support tickets, and enterprise client reviews.
- Track the competitive landscape and emerging AI capabilities, turning insights into product bets.
- Establish and own lean product processes, documentation, and rituals as the team scales.
Requirements
- 4-5 years of experience in Product Management, ideally in B2B SaaS or AI-first products.
- Track record of owning a product area end to end and driving measurable business outcomes.
- Experience taking a product or feature from 0 to 1 is preferred.
- Working understanding of LLMs, AI agents, APIs, and how modern software systems are built.
- Hands-on experience with AI tools, prompt engineering, or no-code/low-code builders is a plus.
- Ability to write crisp PRDs and communicate clearly with engineers, designers, and business stakeholders.
- Strong analytical skills; comfortable with SQL, spreadsheets, and product analytics tools.
- Customer-obsessed, with a track record of turning user insight into shipped product.
- Exposure to real estate, PBSA, proptech, or conversational AI is a strong plus.
- Comfortable working across time zones with international customers and teams.
- Strong ownership, bias for action, and follow-through on multiple concurrent priorities.
- Sharp, structured problem-solver who is comfortable operating with ambiguity.
- Ambition to grow into a senior product leadership role.
Why Join Us?
- Shape a live AI product used by enterprise customers, with real ownership from day one.
- Work alongside a strong, hands-on engineering and AI team.
- Work across global markets — UK, EU, India, and US.
- Work at the cutting edge of LLMs, voice AI, and agentic automation.
- A clear growth path toward senior product leadership.
If you’re a builder at heart who loves turning messy problems into products customers can’t live without, and you’re excited to help shape the future of AI automation at VerbaFlo, we’d love to hear from you!
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
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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
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
7
Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)
8
Mandatory (City) - Pune Based Candidates Only
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.
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Full Stack Developer - Averlon