Senior Staff Product Data Scientist Manager, AI Subscriptions
Google · Mountain View, CA
$240,000–$334,000from the description
Jul 9, 2026
Mountain View, CA
Jul 21, 2026
What this job asks for AI summary
A senior data science leadership role focused on Google One's storage and AI subscription products. The position involves managing a global team of data scientists, generating strategic insights to guide product roadmap and go-to-market decisions, and presenting analytical findings to executive audiences. It suits a deeply experienced analytics leader with a strong background in subscriptions or growth and a track record of managing technical teams.
Principal level · 13+ years · San Jose-Sunnyvale-Santa Clara, CA · Bachelor's required · Full-time
Advertised as Staff, but the requirements read as Principal.
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 45 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (computer and information systems managers). range 25–65
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $298,074 (middle half $224,695–$326,567). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (10)
The role has two experience paths in the minimum qualifications: 13+ years with a Bachelor's degree, or 10+ years with a Master's degree; the overall years minimum is set to 13 (the lower-bound path without a Master's).
Python, R, and SQL are listed together as examples ('e.g., Python, R, SQL') in the minimum qualifications block. Python is emitted as the primary required coding skill with R as an alternative; SQL is emitted separately as it is a distinct, non-interchangeable tool.
Statistical analysis is a hard-gated requirement stated explicitly in the minimum qualifications, but names no specific tool — it is retained as a skill because it is a concrete, testable competency central to the role.
People management (5+ years) is a hard gate from the minimum qualifications; 6 years is the preferred threshold.
A Master's degree is listed under preferred qualifications only; the hard minimum is a Bachelor's degree.
This role is titled 'Senior Staff … Manager' and explicitly requires 5 years of people management with direct team leadership responsibilities (leading a global Data Science team). It is classified under 11-3021 (Computer and Information Systems Managers) as its primary day-to-day work is managing a technical team and driving org-level strategy, with 15-2051 (Data Scientists) as the runner-up given the deep hands-on analytics framing.
The advertised seniority is 'Staff' (from the title). The actual scope — org-wide strategy for one of Google's largest consumer products, executive-level influence, 13+ years required, people management of a global team — supports Principal-level classification.
The posting lists two possible work locations: Mountain View, CA (San Jose-Sunnyvale-Santa Clara CBSA) and San Francisco, CA. Mountain View is listed first and is Google's headquarters; the CBSA reflects that primary location.
Compensation is $240,000–$334,000/year base, plus a 25% bonus target and equity — the bonus and equity are noted here as they are material but cannot be represented in the comp fields.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): people management.
Read the full posting
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