Director of Product Management

NinjaTech AI • Mountain View, CA

8d • $180,000 - $200,000

About The Position

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.

Requirements

• Bachelor's degree or equivalent practical experience; an MBA or technical degree is a plus
• 8+ years of product management experience, including meaningful time owning a product or product area
• A track record of launching a product or major product area and driving it to real adoption, in enterprise SaaS, consumer software, or both
• Experience with AI/ML products, agents, or workflow automation is a strong plus
• Comfort working directly with customers, users, sales, and founders in an early-stage environment
• Strong written product communication: narratives, requirements, and decision documents that teams actually use
• You have launched products from zero and lived through the messy first months
• You are as credible in a customer or executive meeting as in a prioritization review
• You write narratives and requirements that engineers and sales actually use
• Experience with collaboration or workflow products, applied AI products, or consumer products at scale
• You turn scattered feedback into a small number of sharp product decisions
• You hold the line between product leadership and engineering, and customers, sales, and engineering all trust you on it

Nice To Haves

• MBA or technical degree is a plus
• Experience with AI/ML products, agents, or workflow automation is a strong plus
• Experience with collaboration or workflow products, applied AI products, or consumer products at scale

Responsibilities

• 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 and getting value
• Build onboarding and launch playbooks that take customers from discovery to rollout to adoption
• Create proof points: use cases, value statements, testimonials, expansion signals, and case-study material
• Align the CEO, Chief Science Officer, sales, and product/engineering on what users and customers need, what is being prioritized, and what must happen next
• Own product management across the portfolio.
• Own the customer-facing launch motion, clarify each product's narrative, support onboarding and first rollouts, set success criteria, capture feedback from first users, and run the daily launch sync to push blockers and gaps into product quickly.
• Live pilots, deployments, and consumer launches, validated workflows, adoption and value metrics, shipped product improvements from feedback, and repeatable launch playbooks that help the team land each product.
• Scale the portfolio operating on clear roadmaps, repeatable adoption, proof points, enablement assets, a mature feedback and prioritization process, improved onboarding efficiency, and a recommendation on how to scale the product function and team.
• Own product narrative, use-case prioritization, and requirements across SuperNinja and AI Workforce.
• Own customer-facing launches and post-launch iteration that turns learnings from live usage into product improvements quickly.
• Own adoption and success metrics for each product.
• Own onboarding and launch playbooks, from discovery through rollout to adoption.
• Support for sales and customer meetings as the product authority: explaining the products, shaping use cases, discussing feasibility, and building customer confidence.

What This Job Offers

• Job Type: Full-time
• Career Level: Director