Product Manager - Voice AI

SquadStack.ai; Dadri; Sur place; INR 2 500 000 - 4 000 000; Plein temps

Avantages offerts par ce poste

Real ownership from day one

Growth tied to impact

Recognition, close to the moment

Sufficient leave balance

Lunch and snacks on the house

Competitive salary

Diverse, inclusive workplace

Résumé du poste

SquadStack.ai is seeking a Product Manager to own end-to-end AI-native voice products and the supporting platform. You will balance customer-facing product depth with platform breadth, leading cross-functional teams to deliver high-quality, scalable solutions.

You will define requirements, track KPIs for AI/voice quality, and use data-driven insights to optimize performance. A strong engineering background and hands-on AI experience are essential.

Qualifications

• 3-5 years of product management experience.
• Engineering background/degree, or strong technical fluency.
• Hands-on familiarity with LLMs, AI agents, and modern AI frameworks.
• AI-native mindset and experience shipping AI/ML products.
• Experience shipping B2B SaaS / Marketplace or AI/ML products.
• Experience building or scaling platform products (developer tooling, APIs, internal platforms).
• Strong analytical and quantitative skills with data-driven decision making.
• Self-starter in a fast-paced startup environment.
• Strong UX sensibilities and platform UI familiarity.

Responsabilités

• Own end-to-end AI-native voice product experience and platform.
• Lead cross-functional teams to deliver high-quality products on time.
• Define requirements, user stories, and acceptance criteria.
• Define and track KPIs for AI/voice quality and outcomes.
• Analyze data and user feedback to identify improvements and optimizations.
• Conduct market research to identify customer needs and trends in AI/voice.

Connaissances

Product mgmt

AI fundamentals

Data-driven

Communication

UX sensibilities

Startup mindset

English proficiency

Formation

Engineering degree

Outils

APIs

Developer tooling

Internal platforms

Infrastructure products

Description du poste

Own AI-Native Voice Products (0 to 1 and 1 to n):

• 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.

Requirements

• 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.
• 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.

Why Join us

• Real ownership, from day one. Regardless of experience level, you're expected to make decisions, not just take instructions.
• Growth tied to impact, not tenure. People move into bigger roles because of what they've done, not how long they've waited for a review cycle.
• Recognition, close to the moment. Good work gets called out the week it happens, not filed away for a quarterly review.
• Enough leaves for the 'I just need today off' days. Real time off, usable when life actually demands it
• Lunch and snacks are on the house. No hangry emergencies here.
• Competitive salary and a real shot at owning a large surface area of impact. Compensation that reflects the level of trust and responsibility you're given here.
• A diverse, inclusive workplace.

  SquadStack is an equal opportunity employer.

  We don't discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.

Logistics

• Compensation: Competitive, based on experience!