Product Manager — Core Design Experience & AI-driven Workflow

raspberry; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Innovative culture

Growth paths

Learning & development stipend

Annual company offsite

Small team, high ownership

Competitive salary and equity

Health, dental, vision insurance

Job summary

Raspberry AI is hiring a Product Manager for its Core Design Experience in New York. You will own the core generation and design workflow from idea to production-ready outputs, balancing creative needs with enterprise requirements and ensuring rapid, impactful launches.

You will run tight discovery, set success metrics, and work with AI prototyping tools to accelerate research, prototyping, and execution in a fast-paced, early-stage startup environment.

Qualifications

• 3–5 years of product experience, shipping end-to-end with measurable outcomes.
• Bonus: experience shipping generative‑AI or ML‑powered products; interest in fashion/design or creative tools; familiarity with enterprise/B2B buyers.

Responsibilities

• Own the core design and generation experience end to end; define success and activation metrics.
• Lead discovery through user interviews, teardowns, and rapid prototyping to inform launches.
• Balance needs of everyday creatives with senior stakeholders and enterprise buyers.
• Drive product evaluations and trust in outputs to ensure adoption and impact.

Skills

Ownership

Product sense

Systems thinking

First-principles thinking

Probabilistic thinking

AI-native work

Data-driven

Shipped products

Fast learner

Resilience

Tools

ChatGPT

Claude Code

Claude Cowork

Town

Job description

Raspberry AI is hiring a Product Manager for its Core Design Experience in New York. You will own the core generation and design workflow from idea to production-ready outputs, balancing creative needs with enterprise requirements and ensuring rapid, impactful launches.

You will run tight discovery, set success metrics, and work with AI prototyping tools to accelerate research, prototyping, and execution in a fast-paced, early-stage startup environment.