Staff Process Intelligence Engineer

Posted Yesterday
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San Carlos, CA, USA
In-Office
155K-193K Annually
Senior level
Aerospace • Automotive • Transportation
The Role
Own end-to-end process intelligence use cases for manufacturing, from stakeholder requirements and data exploration through ETL development, data modeling, quality resolution, and deployed dashboards. Collaborate with manufacturing leads and factory systems engineers, document modeling decisions, communicate findings, and support production-scale analytics using process mining and data engineering technologies.
Summary Generated by Built In
Company Overview

Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. At Joby, we've been working to make that dream a reality since 2009 and we're now in the final stages of certifying our aircraft with the FAA. With plans to launch our aircraft in the US and Dubai, we're now scaling manufacturing and preparing for the launch of our commercial service.

Overview

Joby operates a process intelligence platform, built on Celonis process mining and spanning a range of manufacturing improvement use cases, including production yield, defect rate, throughput volumes, schedule readiness and capacity planning. The Process Intelligence Staff Engineer will extend this platform, owning use cases end-to-end: from requirements gathering with manufacturing stakeholders, through data transformation and modeling, to deployed dashboards. The ideal candidate has years of experience building data building data and analytics solutions in fast-paced, engineering-driven environments, and is comfortable owning the full technical stack of a use case. 

Responsibilities
  • Use Case Delivery: Translate requirements from manufacturing leads into process mining use cases; own delivery from data exploration through validated, deployed dashboards
  • Technical Build: Develop production-scale ETLs to feed the visualizations and automations behind each use case
  • Data Quality: Identify and drive resolution of data quality issues with source-system owners; document modeling decisions and known limitations
  • Stakeholder Collaboration: Work directly with manufacturing leads and factory systems engineers to ground models in operational reality; communicate findings and tradeoffs clearly to technical and non-technical audiences
Required
  • BA/BS degree in engineering, computer science, another quantitative discipline, or equivalent practical experience
  • 8+ years of hands-on experience in data engineering, data analytics, or process mining implementation
  • Strong working proficiency in SQL & Python
  • Excellent written communication, including technical documentation and decision records
  • Occasional travel to different Joby manufacturing sites
Desired
  • Familiarity with manufacturing source systems (MES, ERP, PLM, QMS) and domain concepts (including nonconformance, yield, capacity, production scheduling)
  • Track record of working autonomously on a small team: scoping ambiguous problems, validating your own work, and communicating limitations honestly
  • Experience with Databricks, Spark, or comparable lakehouse
  • Hands-on experience with Celonis or another process mining platform
Additional Information

Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $154,700 - $193,400/yr. The compensation package will be determined by job-related knowledge, skills, and experience.

Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.


Joby is an Equal Opportunity Employer

Skills Required

  • Bachelor’s degree in engineering, computer science, another quantitative discipline, or equivalent practical experience
  • 8+ years of hands-on experience in data engineering, data analytics, or process mining implementation
  • Strong working proficiency in SQL and Python
  • Excellent written communication, including technical documentation and decision records

Joby Aviation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Joby Aviation and has not been reviewed or approved by Joby Aviation.

  • Wellbeing & Lifestyle Benefits Wellbeing perks are positioned as a meaningful part of the total package, including free daily meals and access to an on-site gym. These amenities are portrayed as reducing day-to-day costs and friction, making the overall rewards feel richer for some roles and sites.
  • Retirement Support Retirement support is described as comprehensive, including a 401(k) plan with a company match. Ownership-oriented savings options like an ESPP are also included alongside retirement benefits.
  • Equity Value & Accessibility Equity participation is a prominent component of total rewards through RSUs and an ESPP, making upside potential a core part of compensation design. This structure is framed as especially attractive when equity is valued as part of overall pay competitiveness.

Joby Aviation Insights

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The Company
HQ: Santa Cruz, CA
946 Employees
Year Founded: 2009

What We Do

Joby is a California-based company building quiet, all-electric aircraft to connect people like never before. With up to 150 miles of range and the ability to take off and land vertically, the Joby aircraft will change the way we move while reducing the acoustic and climate footprint of flight.

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