AI Data Engineer, Ring/Blink Customer Service Engineering and Insights

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

$132K-$179K From the posting source checked Jun 20, 2026

401(k) match

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

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

39% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

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

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

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

AI Data Engineer, Ring/Blink Customer Service Engineering and Insights Hawthorne, California, USA We're hiring an AI Data Engineer to build and scale AI-powered analytics tools for Ring & Blink Customer Service. You'll turn AI prototypes into production systems that business users rely on daily - conversational analytics agents, AI teammates, self-service data tools, and intelligent automation. The team has a clear AI vision, active prototypes, and an engineering culture where everyone already uses AI in their daily work. Your job is to take ideas to production, keep them reliable, expand to new use cases, and own what you ship. You'll build fast, ship often, and iterate based on real user feedback. The team uses a mix of AI tools - some running locally for individual productivity, others deployed in the cloud for scalability and broader user access. You'll work across both: building AI agents and tools that range from developer-facing automation to user-facing analytics products. You'll work alongside data engineers, platform engineers, and BI engineers who own the underlying data infrastructure and dashboards. You own the AI-powered layer on top - the part that makes data accessible, answers trustworthy, and users self-sufficient. Key job responsibilities Build AI-Powered Data Products (45%) Business users shouldn't need to file a ticket to get answers. You build the tools that make them independent. * Build and deploy conversational analytics agents that let users query CS data in natural language * Productionize AI teammates and agents for specific use cases - transcript analysis, metrics Q&A,

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