Staff Technical Product Manager Internal AI Applications
Unity
Job Overview
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Job Description
Overview
At Unity, we foster a culture built on Empathy, Respect, and Opportunity. The Staff Technical Product Manager Internal AI Applications role is a strategic product lead position within the Enterprise AI team, driving internal AI solutions and transforming workflows across the company.
Responsibilities
You will:
- Develop and execute the roadmap for internal AI solutions and infrastructure.
- Work with cross-functional leaders to define outcomes and metrics.
- Define product requirements and validate solutions with user feedback.
- Lead by influence, articulating a compelling vision for internal AI.
- Communicate new capabilities clearly to diverse audiences.
- Analyze metrics to assess product performance and guide improvements.
Qualifications
Required qualifications include:
- 6+ years in product management, with 3+ years on technical or ML-driven products.
- Deep technical proficiency with AI, LLM-powered technology and software development lifecycles.
- Strong cross-functional collaboration and influencing skills.
- Critical thinking and problem-solving focused on user-first solutions.
Preferred Experience
Candidates may also have:
- Experience in SaaS/B2B environments.
- User-centric design and data-driven research background.
- A passion for collaborating to deliver bold and impactful ideas.
Additional Information
This role does not offer relocation support or visa sponsorship. Unity is committed to diversity and inclusion. For privacy concerns, please contact DPO@unity.com.
Key Skills/Competency
- AI
- Product Management
- Technical Leadership
- Roadmap Development
- Cross-functional Collaboration
- User-Centered Design
- Data Analysis
- ML Technologies
- SaaS
- Strategic Planning
How to Get Hired at Unity
- Research Unity's culture: Study the company values and success stories.
- Tailor your resume: Emphasize AI and technical product management expertise.
- Highlight collaboration: Showcase cross-functional project experiences.
- Prepare for metrics: Bring quantifiable results and case studies.
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