Senior AI Data Engineer: Build Data Products & AI Apps (Remote)

Samsara; United States; Hybrid; USD 118,000 - 179,000; Full time

Benefits offered by this job

Flexible remote model

Professional development stipend

Health and parental leave plans

Job summary

Samsara is seeking a Marketing Data and Analytics engineer to join the Engineering team within Marketing Data and Analytics (MDA). You will help build data products, AI agents, and automation to strengthen revenue performance and decision-making for marketing and sales.

You will own the data infrastructure powering Samsara's marketing initiatives, collaborating with the BI and Data Science teams, and supporting data-driven decisions.

Qualifications

• An ideal candidate also has a software engineering background beyond data or AI engineering and a track record of turning ambiguous problems into well-architected solutions.
• Experience directly supporting a business function such as marketing, sales, finance, or business operations.
• Experience working with Databricks.
• Familiarity with go-to-market data and systems: CRM (e.g., Salesforce), marketing automation, web analytics, and CDPs (e.g., Hightouch, Segment).
• Experience evaluating and monitoring LLM systems in production.

Responsibilities

• Own end-to-end data products, AI agents, and automation for marketing.
• Collaborate with BI and Data Science teams to maintain Samsara's marketing data infrastructure.
• Support data-driven decisions by providing insights and tools to marketing and sales.

Skills

Software engineering

Marketing support

Databricks

CRM

Marketing automation

Web analytics

CDP platforms

LLM systems

Tools

Databricks

Job description

Samsara is seeking a Marketing Data and Analytics engineer to join the Engineering team within Marketing Data and Analytics (MDA). You will help build data products, AI agents, and automation to strengthen revenue performance and decision-making for marketing and sales.

You will own the data infrastructure powering Samsara's marketing initiatives, collaborating with the BI and Data Science teams, and supporting data-driven decisions.