Director of Product Management

🇺🇸 Mountain View, California
$2K - $2K Annual
Posted 1 day ago
Expires December 20, 2026

NinjaTech AI is a generative AI startup (B2C and B2B) with headquarters in Silicon Valley and offices in Sydney and Vancouver. Backed by Alexa Fund and Samsung Ventures, we are building the autonomous AI agents that let anyone get real work done with generative AI.

Our flagship product, SuperNinja, is an advanced agentic AI platform with full OS capabilities: website creation, end-to-end coding, advanced data analysis, and more. Alongside it we are launching AI Workforce, a Slack/Teams-based product that puts those agents to work inside enterprise customers. This role owns product management across both.

POSITION OVERVIEW

We are looking for a Director of Product Management to own our product portfolio end to end: narrative, launch, adoption, and iteration across SuperNinja, our direct-to-consumer agent platform, and AI Workforce, our Slack/Teams-based enterprise product. You will lead the customer-facing launch motion for AI Workforce in its first weeks while steering the consumer product's continued growth, and turn early learnings into a repeatable, scalable product motion across the company. This is a product leadership role, not an engineering role. You will report to Babak Pahlavan, CEO.

KEY CHALLENGES & OPPORTUNITIES

- Lead customer-facing launch motions: positioning, onboarding, rollout, and feedback capture for the users and customers of each product

- Define the product narrative for each surface: what the product is, who it is for, what workflows it supports, and why it matters

- Prioritize the highest-value, repeatable workflows and use cases instead of chasing one-off feature requests

- Translate user and customer feedback into clear priorities, requirements, and product decisions, not just relay it

- Run a daily sync with our Chief Science Officer to push launch blockers, feature gaps, and feedback into product and engineering quickly

- Define adoption and success metrics that show whether people are actually using each product...

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