Role: Product Manager — Consumer Product
WFO Bangalore · 2–4 years · AI-native IT Services · Reports to: Product Lead
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About TPH
The Product Highway is an AI-native product strategy and engineering firm that partners with businesses from the earliest spark of an idea all the way through to enterprise scale. We grew from zero to multi-million ARR within our first year, working with clients across India, APAC, Europe, and North America.
AI got very good at the how, shipping code faster than ever. But almost nothing has changed in the what: deciding what to build, why, and in what order. That's where we live. We believe software is an approximation of the real world, and what matters isn't lines of code or sprint velocity, it's whether the solution actually maps to how a business works, how customers think, and how value gets created.
From in-house AI project managers to near-universal adoption of tools like Cursor and Claude, we've rethought every conventional process from first principles. AI isn't a feature we offer, it's how we think, build, and deliver.
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Why we're hiring
We need someone who owns the product detail on a single, fast-moving voice-first, AI-native consumer product we're building for a client — turning high-level direction into specs engineers can build against, catching the edge case the designer missed, and resolving ambiguity before it costs a sprint. This isn't project management dressed up with a product title; we have delivery managers for timelines — you own the substance of what gets built, reporting to the Product Lead. The product is early and the scope evolves fast: what you own in month 3 may look different by month 9. Find that exciting, not unsettling.
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Who we're looking for
Regardless of role, every person at TPH shares these traits:
- End-to-end owners. You own outcomes, not tasks. If something you're responsible for falls through a crack, that's on you, because bugs are easier to fix, misalignment is expensive.
- Clear, direct communicators. Bad news doesn't get better with age. You surface problems early and communicate with precision.
- Uncompromising on quality. You have a quality bar that's yours, not your manager's. You won't ship something you wouldn't stand behind, even under deadline pressure.
- AI-obsessed. You see AI as how work gets done, not a nice-to-have. If you're still doing something manually that AI could handle, you feel that as friction, not normalcy.
- Structured thinkers. When faced with an ambiguous problem, you break it down, reason through the trade-offs, and arrive at a position. You don't wait for someone to tell you the answer.
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What you'll own
- End-to-end product delivery for your area — from problem discovery to spec to launch to measurement.
- Crisp product specs. Turn ambiguous, half-formed problems into clear PRDs, user flows, edge cases, and acceptance criteria a team can build against.
- Ruthless prioritisation. Sequence a fast-moving backlog by impact vs effort; say no well; keep the team focused on what matters now.
- Daily cross-functional execution. Partner with design, engineering, data, and QA to ship high-quality releases on tight timelines.
- Data-informed decisions. Define the metrics that matter; build and read funnels, retention, and cohort analyses; run experiments and act on the results.
- AI-powered features. Drive features built on ML and AI from idea to production — and obsess over the experience around them.
- Feedback and GTM loops. Turn user signals, stakeholder input, and launch learnings into a sharper roadmap.
- Ambiguity, owned. Keep momentum and quality steady even as priorities pivot.
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Must-haves
- 2–4 years in product management at a product company or consulting firm where you owned requirements, worked directly with engineering teams, and shipped real products — including at least one consumer product shipped to real users.
- You've written specs that engineers actually used. Artifacts that shaped what got built, not documentation theater.
- Strong product sense and user empathy for consumer mobile — you sweat the details and have taste.
- Strong technical intuition. You understand how software systems work well enough to have productive conversations with engineers and ask the right questions in technical discussions.
- Data fluency — comfortable with product analytics, funnels, basic SQL, and experimentation; you reach for data to settle debates.
- Excellent written communication. Your specs, your Slack messages, your emails are clear, structured, and precise. People don't have to ask follow-up questions to understand what you meant.
- You default to action. When you see a gap, you fill it. When you see ambiguity, you resolve it. You don't wait for someone to assign you the problem.
- You thrive in ambiguity and rapid change — the product is early and the scope pivots.
- Based in / able to work on-site in Bangalore.
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Strong pluses
- Hands-on AI PM experience — you've shipped AI/ML-powered product features (our top differentiator).
- Voice, audio, or multimodal product experience.
- 0-1 / early-stage / startup experience — building from scratch under uncertainty.
- Technical fluency — a technical background, or the ability to read data, understand APIs/models, and partner deeply with engineering.
- Experience building for high-scale mobile or Indian / Gen-Z consumers.
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AI-native product craft
Because the product leans heavily on AI, we want a PM who's comfortable in that territory:
- Speccing and shipping features powered by AI/ML — e.g. speech/voice models, LLMs, recommendations, generative or multimodal experiences.
- Reasoning about model trade-offs (quality, latency, cost), evaluation, behaviour/prompt design, and graceful failure modes.
- Designing AI UX that feels trustworthy and delightful, not gimmicky — knowing when AI should be invisible vs. front-and-centre.
- Using AI tools to work faster yourself — prototyping, analysis, research, and documentation.
You don't need to be an ML engineer, but you should be able to hold a credible conversation with one and make sound product calls about AI.
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Core competencies at a glance
Product discovery & user research · PRD and spec writing · Prioritisation & roadmapping · Analytics & experimentation · AI/ML product fluency · Cross-functional leadership · Crisp communication · Adaptability under fast-changing scope · Design taste · Execution speed & shipping quality.
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What success looks like (first 6 months)
- Ramped on the product, the users, and the codebase's constraints; trusted to run your area independently.
- Shipped multiple well-specced features on schedule, with the metrics to show their impact.
- Set up or sharpened the instrumentation and dashboards your area needs to make decisions.
- Became the person the team trusts to turn a fuzzy problem into a clear, prioritised plan.
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How to apply
Send your résumé at [Confidential Information] and a short note on a product you've shipped — what the problem was, what you decided, and how you knew it worked. A teardown or quick take on a voice/AI product you admire is a welcome bonus.
*We review every application and value clear thinking over credentials.*
