Staff Product Manager — AI-Driven Product Orchestration

Within

San Francisco (CA)

On-site

USD 150,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Equity
Employer-paid medical, dental & vision
Parental leave
Learning fund
Wellness fund
401k via Betterment
Relocation support to SF Bay Area
BART/Caltrain transit perk
Lunch program
Snack Central
Bike room

Job summary

Within is seeking a senior product leader to scale an AI-native product-ops layer, coordinating product pods, and driving faster, better-informed decision making across GTM, Value Delivery, and engineering. You will shape context, dashboards, and release communications while aligning executives with what is shipping and what is landing.

The role demands 7+ years in B2B SaaS or AI platforms, strong systems thinking, and fluency in data instrumentation.

Qualifications

  • 7+ years in product at B2B SaaS or AI-platform companies
  • A systems thinker who works across the whole org
  • A translator between GTM and engineering
  • A connector and a clear writer
  • Fluent in data and instrumentation (SQL, analytics tooling)
  • A discerning filter who protects the org from noise
  • AI-native systems builder who orchestrates multi-person workflows

Responsibilities

  • Define and delegate work across multiple product pods, run an AI-native product-ops motion
  • Prioritization and resource allocation across pods
  • Develop the context-and-metrics layer with dashboards and monitoring
  • Oversee GTM, engineering, and customer communication loops
  • Provide product signal with usage insights to leadership and teams

Skills

Product leadership
Cross-functional leadership
Information architecture
Translator between GTM and engineering
Data and instrumentation
AI-native systems builder
Writer and communicator

Tools

SQL
BI tooling

Job description

Within is seeking a senior product leader to scale an AI-native product-ops layer, coordinating product pods, and driving faster, better-informed decision making across GTM, Value Delivery, and engineering. You will shape context, dashboards, and release communications while aligning executives with what is shipping and what is landing.

The role demands 7+ years in B2B SaaS or AI platforms, strong systems thinking, and fluency in data instrumentation.

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