Senior PM - Enterprise SaaS, AI Security

Ambient.ai; Redwood City (CA); Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Stock options

Health coverage

Flexible time off

Branded equipment

Job summary

Ambient.ai is building a new category in enterprise physical security, delivering end-to-end product leadership for large-scale customers. You will own the roadmap from conception to launch, guiding cross-functional teams across sales, marketing, engineering, and leadership to deliver value for enterprise clients.

This role offers a direct impact on growth and market transformation. You will engage with external customers to understand needs and prioritize feature sets while aligning with

Qualifications

• 3–5+ years experience in product management leading enterprise projects.
• B2B SaaS background with direct enterprise customer exposure.
• Ability to handle ambiguity and interdependencies in product cycles.
• Define and analyze product success metrics.
• Strong communication and project management across stakeholders.
• Proactive and able to thrive in a fast-paced environment.

Responsibilities

• Coordinate product roadmap, strategy, and long-term vision with cross-functional teams.
• Drive new feature development from concept to release.
• Conduct user research, usability studies, and data-driven experiments.
• Establish, monitor, and measure success metrics after deployment.

Skills

Product management

Enterprise customer experience

Stakeholder management

Data-driven decisions

Communication

Prioritization

Job description

Ambient.ai is building a new category in enterprise physical security, delivering end-to-end product leadership for large-scale customers. You will own the roadmap from conception to launch, guiding cross-functional teams across sales, marketing, engineering, and leadership to deliver value for enterprise clients.

This role offers a direct impact on growth and market transformation. You will engage with external customers to understand needs and prioritize feature sets while aligning with