AI Principal Product Manager - Voice AI Platform

What you'll be doing:

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.

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.

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.

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.

What We Want:

- Minimum 8 years of product management experience in SaaS, AI/ML, or platform products, with a track record of owning complex, customer-facing products end to end.

- Ex-engineers or Technical/ Data Background (but now product-focused).

- Understand AI native or workflow orchestration products.

- A bias toward being in the product: you read traces, write prompts, test agent flows, and demo the work yourself.

- 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:

- You've worked in adjacent spaces like CCaaS, CPaaS, CRM, sales engagement, or conversation intelligence and understand how reps, managers, and ops teams actually work.

- You have founder instincts; you've operated lean, made fast calls, and owned the outcome.

- Exposure to LLM tooling, voice AI, or agentic workflows