Senior Product Manager- Voice AI

Location: Sec 3, Noida

Experience: 7-8 years

Qualification:

About the role:

This is a high-ownership, zero-to-one opportunity to define product strategy, scale infrastructure, and empower developers and businesses to build with AI capabilities.

Responsibilities:

1. Product Strategy & Vision

• Define and lead the roadmap for our Voice AI platform, aligning product initiatives with the company vision.
• Work with leadership to translate abstract ideas into product strategy and modular platform offerings.
• Stay ahead of trends in LLMs, agentic workflows, voice AI, and platform ecosystems.

2. Product Development & Execution

• Collaborate with engineering, design, and data science to ship high-quality, high-leverage products.
• Translate user needs into APIs, SDKs, and platform components that external teams can build on.
• Lead the product lifecycle end-to-end—from problem discovery to post-launch iteration.

3. Go-to-Market & Ecosystem Building

• Design a thoughtful GTM strategy with business teams: pricing, positioning, self-serve onboarding, and documentation.
• Work closely with sales, marketing, and success to drive adoption across enterprises and SMEs.
• Gather feedback from early adopters, devs, and internal users to iterate fast.

4. Stakeholder Management

• Serve as the product bridge across internal teams (infra, sales, CX ops)
• Evangelise platform thinking across the company—driving clarity on where we build vs expose.

Requirements:

• 7-8 years of experience in product management, preferably in AI, SaaS, or PaaS.
• Ex-Engineers or Technical/ Data Background (but now product-focused)
• Understand AI-native or workflow orchestration products
• Have worked on extensible platforms or developer products
• Can marry infra thinking with product-led GTM, and build for both enterprise and SME/long-tail devs
• Clear, compelling communication—can explain complex concepts to both engineers and execs.

Preferred

• Hands-on experience building or launching PaaS or workflow automation tools.
• Founder or early-stage startup experience—bias for action and clarity under chaos.
• Exposure to LLM tooling, voice AI, or agentic workflows.