About the Role:

Squadstack.ai is building the future of voice AI. Our LLM-powered voice agents run real, outcome-driven conversations at scale, powered by the platform that builds, orchestrates, and measures them. We're looking for an AI Product Manager who can own both the voice AI product and the underlying platform end to end, and turn cutting-edge AI into measurable business impact.

This is a builder's role. You'll get zero-to-one opportunities: taking new voice AI products and capabilities from a blank page to production, defining the problem, shaping the solution, and owning the outcome.

What you'll be doing:

- Own the product experience for LLM-powered voice agents end to end (dialogue design, prompt and agent architecture, evaluation frameworks, and quality guardrails) in close partnership with ML and engineering.

- Own the platform that powers these agents (the tooling, orchestration, and infrastructure teams use to build, deploy, and improve voice agents at scale), balancing customer-facing product depth with platform breadth.

- Take new products and capabilities from zero to one: identify the opportunity, define the problem, ship the first version, and iterate to scale.

- Reason fluently about non-deterministic AI systems. You understand how LLMs, agents, and AI frameworks behave, fail, and improve, and you design products accordingly.

Business Outcome Ownership:

- Own product problems and strategy end to end to drive sustainable, product-led growth.

- Operate with complete ownership. You define the problem, drive the solution, and are accountable for the outcome without needing handholding or direction.

- Success is measured by impact shipped, not features delivered. You move the metrics that matter: conversion, automation/containment rate, conversation quality, and business outcomes.

Product Vision and Road mapping:

- Craft a near-term product roadmap that aligns with broader team and company goals. You make trade-off decisions that maximize value and define a clear vision for your product area.

- Strategic Impact: Tie your team's efforts to company strategy and make roadmap recommendations that maximize team outcomes.

Product Delivery:

- Translate the roadmap into detailed requirements and prototypes. Project manage the backlog and end delivery, always keeping an eye on the quality of delivered solutions.

- Lead cross-functional teams (product, engineering, ML) in the development and delivery of high-quality products on time.

- Create detailed product specifications, user stories, and acceptance criteria.

- Define and track KPIs, including AI/voice quality and outcome metrics, to measure the success of product initiatives.

- Continuously analyze data and user feedback to identify areas for improvement and optimization.

Market Research and Analysis:

- Conduct in-depth market research to identify customer needs, the competitive landscape, and emerging trends in AI and voice.

- Utilize market data to make informed decisions and adjustments to product strategy.

What you should have:

- 3-5 years of product management experience (strong candidates with less experience but deep AI exposure will be considered).

- Engineering background/degree, or strong technical fluency.

- Hands-on familiarity with LLMs, AI agents, and modern AI frameworks. You've built with, prompted, or shipped products on top of them, not just read about them.

- AI-native mindset. You use AI tools in your daily work and are comfortable building products on top of non-deterministic systems.

- Experience shipping high-quality B2B SaaS / Marketplace or AI/ML products.

- Experience building or scaling platform products (developer tooling, APIs, internal platforms, or infrastructure-facing products), with the ability to balance platform work and end-user product work.

- Strong analytical and quantitative skills; ability to use hard data and metrics to back up assumptions and recommendations and drive actions.

- Must be a self-starter who truly enjoys working in a fast-paced startup environment.

- Strong user experience sensibilities and familiarity with platform UI best practices.

- Adaptable and flexible. Comfortable being thrown into largely ambiguous environments.

- User obsessed; highly dialed in on what it takes to enable users to succeed.

- Ability to communicate clearly and listen intently.

- Strong verbal and written communication skills in English.

Bonus points:

- Experience with voice AI, conversational AI, speech (STT/TTS), or real-time audio pipelines.

- Experience building evaluation/quality frameworks for AI or ML products.

- Familiarity with multilingual or code-mixed conversational use cases.

Logistics:

- Compensation: Competitive!

- Location: Noida

- Joining: ASAP!