Product Manager, Conversational AI for Support at Google
Boulder, CO
$163,000–$237,000from the description
Jul 15, 2026
Boulder, CO
Jul 21, 2026
What this job asks for AI summary
A product management role focused on building and advancing conversational AI tools for consumer support, specifically within products such as Google Play, Pixel, and Workspace. The work centers on defining requirements, analyzing user behavior across self-help journeys, prioritizing features, and coordinating with engineering and cross-functional partners to ship AI-driven support capabilities. Suited to someone with a generative AI background who has taken technical products from concept to launch.
Mid level · 5+ years · San Jose-Sunnyvale-Santa Clara, CA · Full-time
Posted 4 times — it's one opening, so apply once.
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 870 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (computer occupations, all other). range 650–1,150
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
What the occupation pays Median $188,486 (middle half $139,113–$224,920). 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 (8)
The role is a Product Manager position — 15-1299 (Computer Occupations, All Other) is used as the closest SOC for product management, which does not have its own dedicated code; 15-1252 is listed as an alternate given the deeply technical, AI-focused nature of the work.
The posting lists multiple possible work locations: Sunnyvale, CA (primary listed); Boulder, CO; Irvine, CA; and San Francisco, CA. The CBSA reflects the first-listed location (Sunnyvale/San Jose metro).
The degree requirement states 'Bachelor's degree or equivalent practical experience,' which means equivalent experience is explicitly accepted — treated as no hard degree gate.
The 5-year total experience requirement is for 'product management or related technical roles'; the 2-year requirement for taking products from conception to launch is a sub-requirement of that same gate, not a separate role-level floor.
Generative AI and LLMs are listed as a single minimum qualification ('Generative AI or Large Language Models') — emitted as two separate skills since they are distinct technologies, with the 'or' reflecting domain breadth rather than true interchangeability in this context.
Preferred qualifications (ambiguous problem structuring, infrastructure design knowledge, consumer/support product knowledge, metrics/experimentation, cross-functional collaboration, executive communication) are soft skills or methodologies with no specific named technology — omitted per extraction rules.
Compensation is stated as $163,000–$237,000/year plus a 15% bonus target and equity; the bonus and equity are noted here as they are material but cannot be represented in the comp fields.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Product Management, Data Analysis.
Read the full posting
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