Zoox

Fully electric autonomous ride-hailing service platform

Lead Analytics Engineer - Enterprise, Data & AI

Business IntelligenceConfirmed live in the last 24 hours

Full-timeFoster City, CA, USA$230k - $315k /yr

About the Job

Requirements

At least 10 years of experience in Data Engineering and Analytics.
At least 2 years of hands-on experience deploying AI-generated code.
Extensive hands-on experience building a semantic framework using Python, SQL, and modern orchestration frameworks such as Airflow, Lakeflow, or Argo.
Extensive experience with modern data stacks such as Snowflake, Databricks, or BigQuery to build complex, enterprise-grade data models.
Deep understanding of data structures in large-scale enterprise platforms such as SAP S/4HANA and Salesforce, and the ability to reconcile disparate schemas into clean models.
Ability to design modular, scalable, and performant data architectures that are easy for downstream AI agents and analytics tools to use.
Track record of driving technical projects from design to completion, mentoring junior engineers, and fostering collaboration and data excellence.

Responsibilities

Design and maintain a unified semantic model that provides a single source of truth for cross-functional stakeholders, AI agents, self-service analytics, and executive dashboards.
Collaborate with Data and AI Engineers to structure and optimize data so enterprise knowledge can be queried with high accuracy and low latency.
Establish organizational standards for data modeling, version control, testing, and documentation to ensure high data quality and system maintainability.
Implement automated testing and observability frameworks that proactively identify data anomalies and self-heal pipelines, ensuring reliable data for downstream consumption.
Partner with cross-functional business leaders to translate complex operational requirements into high-impact, scalable data solutions.

Desired Qualifications

Experience using large language models to automate data reconciliation, anomaly detection, or root-cause analysis within analytics pipelines using cloud-native data platforms such as Snowflake or Databricks.
Expert-level Python and SQL skills focused on query optimization and performance tuning for massive datasets, and experience reviewing AI-generated code.
Proficiency creating self-service analytics environments such as Tableau or Streamlit that provide actionable insights to business stakeholders.

Salary Range: 230000 to 315000 (Currency: USD) (Pay period: per-year-salary)

Zoox is seeking a high-agency, hands-on Lead Analytics Engineer to bridge the gap between our complex enterprise data sources and our AI-driven decision-making systems. You will lead the design and implementation of our semantic layer and data modeling strategy, ensuring that data from SAP (S/4HANA, Ariba, BRIM, ME), Workday, Salesforce, and Anaplan is transformed into clean, performant, and "AI-ready" datasets. This is a critical leadership role for a builder who wants to own the data foundation that powers our intelligent agents and business-wide analytical workflows.

In this role, you will:

Design and maintain a unified semantic model that provides a "single source of truth" for cross-functional stakeholders, AI Agents, Self Serve Analytics and Executive dashboards.

Collaborate with Data & AI Engineers to structure and optimize the data that allows to query enterprise knowledge with high accuracy and low latency.

Establish organizational standards for data modeling, version control, testing, and documentation to ensure high data quality and system maintainability.

Implement automated testing and observability frameworks that proactively identify data anomalies and "self-heal" pipelines, ensuring our data is always reliable for downstream consumption.

Partner with cross-functional business leaders to translate complex operational requirements into high-impact, scalable data solutions.

Qualifications:

10+ years in Data Engineering & Analytics, with extensive hands-on experience building a semantic framework using Python, SQL and modern orchestration frameworks (e.g. Airflow, Lakeflow, Argo). With at least 2+ years of hands-on experience deploying AI generated code.

Extensive experience using modern data stacks (e.g. Snowflake/Databricks, Big Query) to build complex, enterprise-grade data models.

Deep understanding of data structures within large-scale enterprise platforms (SAP S/4HANA, Salesforce, Workday, etc.) and the ability to reconcile disparate schemas into clean models.

Exceptional ability to design modular, scalable, and performant data architectures that prioritize ease of use for downstream AI agents and Analytics tools.

A track record of driving technical projects from design to completion, mentoring junior engineers, and fostering a culture of collaboration and data excellence.

Bonus Qualifications:

Experience using LLMs to automate data reconciliation, anomaly detection or root-cause analysis within analytics pipelines with cloud-native data platforms (e.g., Snowflake, Databricks).

Expert-level Python & SQL skills with a focus on query optimization and performance tuning for massive datasets and reviewing AI generated code.

Proficiency in creating self-service Analytics environments (e.g., Tableau, Streamlit) that provide actionable insights to business stakeholders.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

About the Company

Zoox

Fully electric autonomous ride-hailing service platform

Zoox designs and operates an autonomous ride-hailing service built around a purpose-built, fully electric vehicle designed specifically for autonomous operation. The vehicle uses advanced sensors, cameras, and AI to navigate complex urban environments, offering a four-passenger interior for comfort. Unlike competitors that retrofit existing cars, Zoox engineers both the vehicle and the service from the ground up, enabling optimized safety, efficiency, and passenger experience through integrated software that optimizes routing and reduces wait times. The company emphasizes safety through extensive testing and regulatory collaboration, and sustainability via electric mobility. The ultimate goal is to provide a smarter, safer, and more efficient urban transportation system that improves city life while reducing emissions.

Company size: 5,001-10,000
Company stage: Acquired
Total funding: $1.2B
Headquarters: Menlo Park, CA
Founded: 2014

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