Sr. PM-T, ORBIT AI , ORBIT

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$151K-$205K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$102,662 U.S. median for this role

Projected growth (BLS Employment Projections)

+5.4% - Faster than average

73% above the BLS role benchmark for product management aggregate.

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Product From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. PM-T, ORBIT AI , ORBIT Bellevue, Washington, USA Amazon's Last Mile delivery network moves billions of packages a year. When a delivery station misses its performance target, the question isn't “what” happened- it's “why”, and “what” we should do about it. That's the problem you'll solve. You'll own the knowledge and attribution platform that sits underneath all our AI and analytics products. Think of it as the structured brain that makes our AI specific instead of generic. When our AI assistant tells a station manager exactly why productivity dropped 10% and gives them four prioritized actions to close the gap by tomorrow instead of a vague summary - it's because the knowledge layer you built made that precision possible. When a VP reads an auto-generated business review and every claim traces back to a verified source with zero fabrications, it's because the ontology you govern enforced that consistency. This role is different from most PM-T roles because you won't own a surface - a dashboard, an app, a feature. You'll own the depth. The structured knowledge, causal logic, and self-service platform that an entire portfolio of AI products depends on. Your decisions about how metrics are defined, how causal relationships are modeled, and how teams contribute new knowledge will determine whether our AI products are trusted or ignored. Key job responsibilities Build and govern the enterprise knowledge system. You'll define the canonical metric definitions, causal relationships, and operational context models that every AI and analytics product consumes. Every Concept

Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.