ServiceNow · Mountain View, CA

Salary
$201,300–$352,300from the description
Posted
Jul 22, 2026
Location
Mountain View, CA
Last confirmed open
Jul 24, 2026

What this job asks for AI summary

A senior engineering role focused on building conversational and GUI-based product features that apply large language models and agentic AI to enterprise automation. The work involves designing and shipping end-to-end product capabilities, collaborating with machine learning, product management, UX, and go-to-market teams, and helping extend the platform's reach across new customers and markets. Suits an experienced engineer with strong product instincts and a background in scalable web or conversational systems who is comfortable leading peers on complex projects.

Senior level · 10+ years · San Francisco-Oakland-Berkeley, CA · Bachelor's required · Full-time

Must have (4)
LLMsAgentic AIMachine Learningconversational UI

Posted 3 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 620 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (software developers). range 180–930

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
Machine Learning12%

Rare in this occupation — lead with these, and say what you built with them.

What the occupation pays Median $190,744 (middle half $167,095–$224,501). 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 (5)

The job title is 'conversation product engineer' with no explicit seniority level in the title, so advertised seniority is Unspecified. However, the 10+ years of experience requirement and the expectation to tech-lead other engineers and own end-to-end project delivery firmly support a Senior classification.

The posting names very few concrete technologies — it focuses on LLMs, Generative AI, Agentic AI, and ML broadly. No specific frameworks, languages, cloud platforms, or databases are named anywhere in the JD, so the skills list reflects only what is explicitly called out.

Location is ambiguous: Moveworks is headquartered in Mountain View, CA and ServiceNow in Santa Clara, CA (both in the San Jose metro), but the compensation language references 'geographic location' without specifying a city. The San Francisco Bay Area CBSA is used as the best available proxy given the company headquarters context.

The degree requirement is a hard gate: 'BS or a higher degree in computer science or related field' with no equivalent-experience substitution offered.

The role mentions 'flexible, remote, or required in office' work personas assigned by ServiceNow, but does not explicitly state this role is fully remote; remote is set to false accordingly.

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