AI Product Builder at AiRA · Bengaluru (Bangalore) · 1 - 3 years · ₹7.2L - ₹12L / yr · Raised funding · Posted 6 Oct 2026
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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About AiRA
About
Aira is building a new medium for interacting with AI. We don’t believe chatting is the final interface, or that every question should be answered with a wall of text.
We’re bringing together a hand-drawn character that feels alive, a screen the AI can shape, voice, animation and music. Aira can guide you through an activity, explain something visually, keep useful information on screen and take actions on your behalf. The goal is to give you the best answer in the best way, adapted to your situation.
Imagine an AI that guides you through cooking or a workout, knows when to speak and when to wait, and shows you how a step should be done. Now imagine that same care applied across the things you do every day, alongside an agent that can help make reservations and buy what you need with your confirmation.
We believe AI is the biggest equaliser, but its everyday consumer experience is still being figured out. We’re building Aira to change that and make AI something people naturally use daily.
We’re a small team based in HSR Layout, Bengaluru, building towards a San Francisco launch this month.
Tech stack
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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.
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-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.
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About VerbaFlo
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.
Role Overview
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.
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- 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!
FigmaApply here (application form): https://forms.gle/NTa8z6TpCg8PzUYD8
SuperKalam (YC W23) is building the best AI tutor platform out of India, in the vein of Duolingo. We are eager to talk to a Product Designer with an amazing sense of quality and strong ownership.
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Who will thrive here: enjoys complex product problems, balances speed vs design perfection, hungry to learn, ownership mindset and a strong individual contributor.
Compensation: 18 to 25 LPA based on experience. ESOPs for the right candidate.
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Location: Bengaluru. Full-time. Full JD: https://www.ycombinator.com/companies/superkalam/jobs/gvVQ5BQ-product-designer-2-4yrs-experience
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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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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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.
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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.
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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.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon