Lead Product Manager, AI Solutions

Company: Wing Assistant

About Us

Wing is seeking elite talent to join M32 AI (backed by top-tier Silicon Valley VCs), dedicated to building agentic AI for SMB's globally.

If you’re driven by challenge and eager to make a significant impact in a high-caliber role, this is the opportunity you’ve been waiting for.

We are looking for a Lead Product Manager to work directly with our CPO, building innovative AI products from 0→1 in a hands-on startup environment. This role blends product leadership, operational execution, and strategic support for the founding team, emphasizing rapid iteration and scalable systems. This is an intense role, but comes with the ability to work closely with leadership, and have a high degree of impact.

You Will Own

• Roadmaps & User Stories: Shape product roadmaps and user stories, prioritizing features for seamless experiences and market validation.
• Cross-Functional Partnership: Partner with engineering, design, and PMs in fast sprints to prototype, test, and deploy capabilities.
• Product Demos: Record screencasts and product videos of new features to showcase functionality and drive adoption.
• Product Marketing: Own facets of product marketing, like messaging, demos, and materials that communicate product value clearly.
• Insights & Analysis: Collect user feedback, run market research, and analyze metrics to refine backlogs and boost retention.
• Resource Building: Build onboarding guides, training resources, and playbooks for product usage, operations, and recruitment.
• Executive Alignment: Shadow customer interactions, synthesize insights, and align with C-level on priorities and dashboards.

What Great Looks Like

• Analytical Builder: An analytical builder who spots data patterns and turns them into product decisions and playbooks.
• Entrepreneurial Operator: Entrepreneurial operator thriving in ambiguity, prototyping like a founder while coordinating cross-functionally.
• Hands-on Creator: Skilled in video tools, design (Canva), SQL analytics, and productivity stacks (Asana, Notion, Airtable, HubSpot).
• Vibe-coding: Ability to vibe-code prototypes for engineers & design to understand.
• Deep Research: Able to thoroughly research broad concepts and turn them into opinionated, well-researched prototypes.
• Ownership: Taking deep ownership of outcomes.
• Communication: Clear communicator for stakeholder syncs, executive updates, and client-facing content.

Preferred Skills & Experience

• Startup or consulting background in product/operations.
• Familiarity with 0→1 product launches.
• Proven playbook-building for onboarding, recruitment, or growth systems.
• Nice to have: Experience, ability, or interest with UI/UX, AI, software engineering.

Our Hiring Process

1. Introductory Call (15 min): Explore our culture, product vision, and expectations.
2. Technical Task
3. Team Interview
4. CEO & CPO Interview

Our process is fast — we aim to complete it in just 7-10 days.

What You Get

• Remote-first culture: Work from anywhere.
• Compensation: Competitive salary and performance‑based bonuses.
• Growth: Software for upskilling & productivity.
• Time Off: Paid Time Off.
• Health: Health Insurance.
• Tech Setup: Budget for tech set up provided after 10 months of employment.
• Autonomy: High autonomy, low bureaucracy.
• Leadership Track: Fast-track to leadership for high performers.
• Direct Access: Access to the founding team and high visibility.
• Hack-weeks: Optional in‑person hack‑weeks in Hong Kong, India, or London.
• Tooling: Access to best‑in‑class tooling.

Salary Range

• Annual: ₹20,00,000 - ₹70,00,000 a year
• LPA: 20-70 LPA

Please note: Immediate joiners are preferred, but everyone will be considered.

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Responsibilities

The Lead Product Manager will shape product roadmaps, prioritize features, and partner with engineering, design, and other PMs to rapidly prototype, test, and deploy new AI capabilities. This role also involves owning facets of product marketing, collecting user feedback, and building necessary operational resources like training guides and playbooks.

Requirements

The ideal candidate is an analytical builder and entrepreneurial operator who thrives in ambiguity, possessing hands-on skills in video tools, design (Canva), SQL analytics, and various productivity stacks. Preferred experience includes a startup or consulting background with familiarity in 0→1 product launches and playbook building for growth systems.