Associate Product Manager - AI Builder

-Turn ambiguous ideas into clear product requirements and workflows.

- Break large ideas into small experiments that can be shipped quickly.

- 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.

- Measure what happened after launch and iterate quickly.

## 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.

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

AI Product Builder | Consumer Experiences

TL;DR: ₹1 lakh/month. HSR Layout, Bengaluru. Full-time, in-person preferred, with flexibility for an exceptional fit. Use AI to build and refine consumer experiences. No CV or prior experience required. Apply by email, then an unpaid 48-hour workout assignment.

I'm Vishnu, building Aira. AI is the biggest equaliser we have, but nobody has figured out the consumer use case yet. I think Aira will be the reason everyday people start using AI daily.

I don't believe chatting is the final interface for AI. So Aira is built around a hand-drawn character that feels alive, shapes what's on your screen, and brings voice, animation and music together. The goal is the best answer, delivered in the best way for your situation, with help acting on it.

Say you're deciding what to cook. Aira helps you pick a meal, shows the ingredients, arranges the purchase with your confirmation. While you cook, it keeps the recipe and your current step on screen, speaks short instructions, and waits while your hands are busy. The same screen won't work at the gym, in meditation or while fixing a tyre. The conversation, the actions and what you see and hear should feel like one experience that adapts to what you're doing.

I'm hiring people who would have wanted to work on the first iPhone. People who obsessed over the small details that made something unfamiliar feel natural, and cared about what a person felt the first time they used it.

We've built the foundation. Your job is to take an experience, decide how it should work, build it with AI, and keep agonising until it feels right. In practice: tuning prompts and behaviour files, building or changing screen components with AI, and testing what you've made.

You may not yet be able to explain why an interaction feels incomplete. I want you to follow that feeling and build a better version. That's why we don't ask for a CV, prior experience or a coding background. We need product thinking, creativity and ownership — you question what AI gives you, make it work, and keep improving it.

We're launching in San Francisco this month. You'll work directly with me and help shape what people experience the first time they meet Aira.

The process

You'll build a workout experience from a minimal starter. We give you a stepper, a timer and the component plumbing; you decide how it behaves and build the rest. Anyone can attempt it, before any screening. You have 48 hours after receiving it. It's unpaid, for evaluation only, and your work stays yours.

AI helps me review, but I pick the shortlist myself. Shortlisted candidates get a 30-minute conversation. I aim to reply within 24 hours of submission and finish within a week.

About

Asha Health is building an AI OS for outpatient care. It’s the year of AI agents, and startups selling AI agents to healthcare organizations will do great in this wave. While we’re rooting for them, we’re building what comes after. We're based in New York and backed by Y Combinator, General Catalyst, 186 Ventures, Reach Capital and many more. We raised an oversubscribed seed round from some of the best investors in Silicon Valley. Our team includes AI product leaders from companies like Google, physician executives from major health systems, and more.

About the Role

We're looking for a Product Manager, AI to join our team in our Bangalore office. With how AI models are evolving, we don't believe in traditional roles. Whereas in an old-school company you may write long PRDs and hand off to designers and engineering, and spend weeks in back and forths trying to get 1 feature approved, we operate completely differently. Here's what your day-to-day may look like:

• Instead of writing PRD's, you'll build prototypes.
• You'll be responsible for prioritizing which pain points to solve, outlining how we should solve them, and designing the user experience yourself as well (with the power of our AI design tools).
• At any given time, you may be using AI coding tools and AI design tools to parallel track prototypes for 5-10 large features.
• Rather than waiting weeks for approvals, features you prototype will be handed off to engineering and be shipped into production an average of 2-5 days.
• You will talk to customers and research the domain deeply - becoming an expert for the team on domain knowledge and product strategy.

Requirements

• Prior experience working as a Product Manager at a venture backed startup.
• Either (A) strong experience professionally as a software engineer, or (B) exceptional UX design skills. Must be multifaceted in one of these 2 ways.

About Ziro.digital: Ziro.digital is an AI career intelligence platform built for engineering students — helping them navigate internships, placements, and early-career decisions with AI-powered tools.

What you'll do:

• Build and test LLM-powered features for our web product: resume analysis, mock interviews, and personalised career recommendations.

• Work with Python and LLM APIs (Claude, OpenAI, Gemini), applying prompt engineering and building RAG pipelines.

• Write automation scripts and integrate AI capabilities directly into the Ziro.digital web product.

• Ship features end-to-end, working closely with the founder.

What we're looking for:

• Pursuing or completed B.Tech / M.Tech / MCA (2025–2026 pass-outs preferred).

• Strong Python fundamentals.

• Hands-on LLM / ML / AI-agent projects — please share your GitHub.

• Familiarity with Generative AI, Prompt Engineering and RAG is a strong plus.

• Willing to work full-time, in-office at our KPHB, Hyderabad location.

• Able to join immediately for a 6-month internship.

The role:

• Title: AI Intern

• Openings: 2

• Duration: 6 months (full-time, in-office at KPHB, Hyderabad)

• Stipend: ₹10,000–15,000/month

• Performance-based PPO: ₹2–5 LPA, based on impact

• Experience: 0–1 years

• Must-haves: Python, LLMs, Generative AI, Prompt Engineering, RAG

How to apply: Share your resume and GitHub portfolio. We'll shortlist quickly and get you started.

Product Engineer — Role Summary

We are looking for a Product Engineer to build user-facing products that combine AI capabilities with practical applications. You will work at the intersection of software engineering and AI, developing autonomous, agent-driven systems that solve complex educational and research problems.

Key Responsibilities:

• Product Development: Design, build, and deploy production-ready applications powered by LLMs and AI agents.
• Data Engineering: Build scalable ETL/ELT pipelines to process structured and unstructured data, including text and audio, for RAG and model fine-tuning.
• Agentic Workflows: Develop multi-step AI agents with tool calling, APIs, databases, search, reasoning, and memory.
• Rapid Prototyping: Turn ideas and research concepts into interactive, production-ready applications.
• AI Integration: Use frameworks such as LangChain, LlamaIndex, AutoGen, or custom orchestrators to integrate AI into scalable systems.
• User Experience: Transform raw AI outputs into reliable, intuitive, and responsive user experiences.
• Collaboration: Work closely with ML researchers and data engineers to integrate custom and fine-tuned models.
• Observability: Monitor agent behavior, manage edge cases, reduce hallucinations, and improve reliability in production.

The ideal candidate combines strong software engineering, AI/LLM expertise, data engineering, and product thinking, with the ability to take an AI concept from prototype to production.

Technical Product Manager – BFSI & AI

Location: New Delhi, India (On-site)

Employment Type: Full-time

Experience: 4–8 years

Industry: BFSI / FinTech / Enterprise AI / B2B SaaS

About QubeLabs

QubeLabs is building the next generation of Enterprise AI Systems that transform workforce operations and intelligence for the financial services industry.

Our platform combines Conversational AI, Agentic AI, workflow automation, proprietary language models and enterprise intelligence to improve enterprise efficiency, productivity and customer experience.

Our flagship product, QubeLabs Workmate, is purpose-built for banks, NBFCs, MFIs, wealth management firms, insurance companies and fintechs across India and Europe.

Role Overview

We are looking for a Technical Product Manager – BFSI & AI to translate complex financial-services workflows and customer problems into clear product requirements and scalable technology capabilities.

You will work closely with the founders, Head of AI, engineering and business teams to drive the complete product lifecycle—from customer discovery and requirements definition to development, testing, deployment and continuous improvement.

This is a high-ownership role for someone who combines an understanding of BFSI business processes with strong product thinking and the ability to collaborate effectively with technical teams.

Key Responsibilities

1. Product Management & Requirements

Define product requirements, roadmaps and feature priorities for QubeLabs Workmate.

Translate customer needs and business problems into PRDs, functional specifications, user stories and acceptance criteria.

Design user journeys, process flows, business rules and expected product behaviour, including edge cases and exceptions.

Prioritize features based on customer value, business impact, technical feasibility and strategic objectives.

Drive features from concept through development, testing, release and post-launch improvement.

2. BFSI Workflows & Customer Discovery

Develop a deep understanding of workflows across banking, wealth management, stock broking, insurance, NBFCs and financial advisory.

Engage with relationship managers, wealth advisors, operations teams, contact centres and business leaders to identify pain points and automation opportunities.

Translate financial-services processes into scalable product capabilities.

Support customer discovery, product demonstrations, pilots, POCs and validation of new features.

Incorporate customer feedback and market insights into product priorities and the roadmap.

3. AI Product Development

Understand the practical capabilities and limitations of Generative AI, LLMs, AI Agents, RAG, Voice AI and workflow automation.

Define requirements for AI assistants, intelligent agents and AI-powered business workflows.

Work with the Head of AI to translate model capabilities, technical dependencies and constraints into product specifications.

Define expected AI behaviour, business rules, exception handling and measurable business outcomes.

Identify where AI is appropriate versus deterministic workflows and conventional business logic.

Understand the capabilities of QubeLabs' proprietary Vectro Series language models and their application to BFSI use cases.

4. Product & Engineering Collaboration

Work with AI and engineering teams to clarify requirements, assess feasibility and resolve implementation challenges.

Understand APIs, integrations, data flows, system dependencies and enterprise technology environments.

Participate in sprint planning, technical discussions, product reviews and architecture reviews where relevant.

Validate delivered features against requirements and lead functional and user acceptance testing.

Identify delivery risks, technical trade-offs and dependencies to ensure timely, high-quality releases.

Prototype or validate product concepts when required.

5. Product Strategy & Market Intelligence

Identify new product opportunities across financial services.

Evaluate customer needs, competitive products and emerging AI capabilities.

Develop industry-specific use cases and product propositions.

Collaborate with leadership to align product investments with customer demand, business objectives and long-term product strategy.

Experience & Qualifications

4–8 years of experience in Product Management, Business Analysis, BFSI Technology, FinTech or enterprise software.

Mandatory experience in BFSI, FinTech or financial-services technology.

Experience with enterprise products and collaboration with engineering or technology teams.

Working knowledge of at least one financial-services domain, such as banking, wealth management, stock broking, capital markets, insurance, NBFCs or financial advisory.

Experience in customer discovery, requirements gathering and product documentation.

Exposure to AI/Generative AI products is preferred but not mandatory.

Bachelor's degree from a recognized university; an MBA or equivalent qualification in product management or business is preferred.

Required Skills

Product Management

Requirements gathering, PRDs and functional specifications.

User stories, acceptance criteria and workflow design.

Roadmapping, prioritization and product lifecycle management.

Customer discovery, stakeholder management and product validation.

BFSI Domain Knowledge

Understanding of financial-services workflows, business processes and enterprise requirements.

Ability to engage with business users and translate operational challenges into technology solutions.

Technical Understanding

Working knowledge of AI/Generative AI, LLMs, AI Agents, RAG and Conversational AI.

Understanding of APIs, system integrations, data flows and cloud-based enterprise applications.

Ability to collaborate with AI and engineering teams on technical feasibility, dependencies and implementation trade-offs.

You do not need to be an AI engineer, but you must be comfortable understanding technical concepts and translating them into practical product requirements.

What Success Looks Like

Clear, implementation-ready product requirements and specifications.

Timely delivery of prioritized product features and roadmap milestones.

Successful launch and adoption of high-value AI-powered BFSI workflows.

Effective support for enterprise pilots, POCs and customer validation.

Strong alignment between customer needs, product priorities, AI capabilities and engineering execution.

Measurable improvements in customer productivity, operational efficiency and product engagement.

Why Join QubeLabs?

Build next-generation Enterprise AI Systems for financial services.

Work directly with founders and senior leadership in a high-ownership role.

Shape AI-powered products across banking, wealth management, brokerage and insurance.

Work at the intersection of BFSI, AI, enterprise intelligence and workflow automation.

Collaborate with teams developing QubeLabs' proprietary Vectro Series language models.

Contribute to enterprise markets across India and Europe.

Equal Opportunity

QubeLabs is an equal opportunity employer

committed to building a diverse and inclusive workplace where innovation thrives.

Associate Product Manager TAP INVEST

Location: Bangalore · On-site, 5 days/week in office

Experience: 1–3 years, in Product, Analytics, or Consulting Function:

Product Management

About Tap Invest

Tap Invest is India's leading Fixed Income Investment Platform, committed to empowering investors with secure and smart investment opportunities. Join us in the pursuit of Financial Freedom through our innovative approach to wealth creation. The Role As a Associate Product Manager at Tap Invest, you will own end-to-end product structure for your area - from framing the problem to shipping and measuring the outcome. You'll drive growth-centric features that move core metrics, and lead the infrastructural and platform changes that let the product scale reliably.

What You'll Do → Own end-to-end product structure — from problem framing and scoping to shipping and measuring outcomes. → Build growth-centric features that move activation, engagement, and retention metrics. → Lead infrastructural and platform changes needed to scale the product reliably. → Work closely with engineering, design, and stakeholders to turn strategy into shipped product. → Build high-impact product experiences that help users make smarter investment decisions. → Own outcomes, not just features or sprints. → Tackle complex, ambiguous problems across investments, user engagement, and more.

What We're Looking For → 1–3 years of experience in Product Management, Analytics, or Consulting. → Strong hands-on SQL skills — comfortable pulling and interpreting data independently. → Proven ability to scope problems and write clear PRDs from ambiguous inputs. → A strong sense of ownership — you drive things to closure without being told to. → Ability to lead with clarity, aligning engineering, design, and stakeholders around a shared plan. → Strong with data — comfortable using it to prioritize, validate, and course-correct.

Good to Have → Prior experience in Fintech or BFSI — a strong plus.  

Senior Product Manager – Growth & Consumer Products (FinTech Preferred)

We're looking for a Senior Product Manager with 6+ years of product management experience, including the last 3+ years owning consumer-facing B2C products (app, onboarding, checkout, growth, or conversion funnels).

Must Have:

- Consumer product ownership (not backend/infrastructure-focused)

- Strong track record of improving conversion, engagement, revenue, or retention through A/B testing and data-driven experimentation

- Experience with analytics, funnels, cohorts, and product metrics

- Active use of AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) in product work

- Strong stakeholder management across business, engineering, and design teams

- Experience writing PRDs, user stories, and working in Agile environments

- Current or recent experience in a B2C product company (FinTech preferred; otherwise Series B+ startup)

Good to Have:

- Experience with AI/ML products, prompt engineering, LangChain, or RAG.

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

2

Mandatory(Experience 1)- Must have 6+ 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 consumer-facing product ownership as the centre of gravity. Backend, API, infra, or internal-tools PMs with no recent consumer-facing surface will not be considered. Backend exposure alongside real consumer-funnel work is fine; a backend centre not.

4

Mandatory(Experience 3)- Must have a metric-backed track record improving conversion, revenue yield, engagement, or lead quality in a consumer funnel — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene.

5

Mandatory(Experience 4)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice.

6

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders, and working with distributed teams across time zones (Australia, India, Philippines).

7

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.

8

Mandatory(Company) - Must be from B2C product company. FinTech is the priority . A non-fintech candidate qualifies only if currently or recently at a Series B plus company.

9

Preferred(Skill)- Exposure to LangChain, RAG, or prompt engineering in a product context; experience working directly with data science/ML teams on model-backed features; prior AI features in transactional or financial-services consumer UX.