Senior Product Manager - AI Platform
New
United StatesFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 10+ years
- Required Skills
- AgileProduct ManagementJira
Requirements
- 10+ years of product management experience, with strong exposure to agile engineering environments.
- Proven experience building and shipping AI-powered products in production environments.
- Hands-on experience owning AI features end-to-end, including post-launch iteration and performance improvement.
- Experience working with or operationalizing agentic or multi-agent systems in production settings.
- Strong understanding of AI product evaluation, observability, and defining success metrics for model-driven systems.
- Demonstrated builder mindset, with a strong bias toward prototyping, experimentation, and rapid validation.
- Ability to design and execute experiments with clear hypotheses and success criteria.
- Strong technical fluency and ability to quickly adopt modern AI-assisted development tools.
- Excellent communication and stakeholder management skills across technical and executive audiences.
- Experience with tools such as Aha and Jira (or equivalent) and agile delivery frameworks.
- Strong understanding of enterprise SaaS environments; experience in EHS or regulated industries is a plus.
- Strong focus on security, governance, and responsible AI design principles.
Responsibilities
- Own and drive the day-to-day execution of the AI platform roadmap in close collaboration with engineering teams, including backlog management, user stories, and sprint delivery.
- Translate high-level strategy into actionable product plans while ensuring alignment across technical and business stakeholders.
- Build and iterate on rapid prototypes, running experiments and validating product hypotheses before full-scale development.
- Partner with engineering to design, test, and improve AI features and agentic systems throughout their full lifecycle.
- Ensure strong governance around trust, safety, security, and data quality as core platform principles.
- Act as a central coordination point between product, engineering, and leadership to ensure transparency and alignment.
- Define and track success metrics for AI systems, including observability, evaluation, and performance monitoring.
- Support agile execution using tools and ceremonies that keep delivery teams aligned and efficient.
View Full Description & ApplyYou'll be redirected to the employer's site
