Samsara

Samsara

Samsara pioneers the Connected Operations Cloud, offering AI safety programs, real-time visibility, and integrations for industries to enhance efficiency, safety, and sustainability globally.

IT Services
1K-5K
Founded 2015

Description

  • Architect and maintain complex marketing databases, datasets, data pipelines, and the Customer Data Platform (CDP) to enable segmentation, targeting, automation, and analytics.
  • Design and implement data infrastructure for AI/ML initiatives, including pipelines for generative AI applications, feature stores, and vector database integrations to support predictive modeling and personalization.
  • Support the execution and expansion of conversational BI and Ambient AI capabilities within the marketing organization in partnership with the BI team.
  • Automate manual marketing tasks using AI to increase efficiency across the marketing organization.
  • Manage critical, high-volume data pipelines, maintain SLAs, and continuously improve pipeline efficiency and data quality.
  • Facilitate complex data integration and transformation requirements to ensure interoperability between applications, data marts, AI models, and CDP environments.
  • Partner autonomously with non-technical stakeholders (Marketing, Sales, Ops) to translate ambiguous business questions into technical requirements and scalable data solutions.
  • Write optimized data transformations in Python and SQL to produce data products consumed by customer systems, Analytics, Marketing Operations, and Sales Operations teams.
  • Mentor junior engineers, conduct code reviews, and help define best practices for the data engineering team.

Requirements

  • 5+ years of experience in a data engineering or data-engineering-adjacent role.
  • Expert knowledge of Python and SQL with strong hands-on data modeling experience.
  • Proven experience engineering data pipelines for AI/ML workloads, including preparing unstructured data for LLMs and building feature engineering pipelines.
  • Proven experience building and scaling RAG (Retrieval-Augmented Generation) infrastructure, including managing vector database integrations and data-to-embedding pipelines for LLM applications.
  • Deep experience with data warehouse architectures, infrastructure components, ETL/ELT processes, and reporting/analytics tools.
  • Hands-on experience with modern data technologies such as Databricks, dbt, Google BigQuery, Amazon Redshift, RDS, Snowflake, or similar solutions.
  • Demonstrated ability to lead requirement-gathering sessions independently and translate business needs into technical implementations.
  • Experience with customer, marketing, and/or web data and integrating data from Marketing Automation, CRM, and web analytics platforms.
  • Strong communication and project management skills, a proactive/self-starting mindset, and ability to work independently and as part of a team.
  • Role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

Benefits

  • Annual base salary range: $118,107.50 - $178,650 USD (base pay may vary by location, experience, and skills).
  • Competitive total compensation package.
  • Employee-led remote and flexible working model with support for in-office, hybrid, or remote arrangements where applicable.
  • Health benefits for full-time employees.
  • Inclusive work environment with reasonable accommodations for candidates with disabilities (contact [email protected]).
  • Opportunities for rapid career development and internal mobility in a high-growth company.
  • Access to Samsara benefits information and programs via the company benefits site.

Interested in this position?

Apply directly on the company website

Apply Now

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