Business Systems Engineer I

Rocket Lab Corporation•Long Beach, CA

7d•$67,000 - $84,000

About The Position

Rocket Lab’s Supply Chain team manages the movement of materials, products, and components throughout the business, supporting rocket and satellite programs through inventory, shipping and receiving, procurement, assembly kits, and quality compliance. Business Systems Engineers support initiatives across Supply Chain, identify continuous improvement opportunities, and develop diagnostics and transformations. The role uses analytical and problem-solving skills to improve operations and advance AI-driven solutions, including intelligent agents and bots that enhance productivity, decision-making, and processes. The Business Systems Engineer I conducts analyses and helps design, develop, and implement AI tools and systems for supply chain operations. The role collaborates across functions to identify opportunities for AI, automation, and process optimization; develops and deploys machine-learning models; helps reduce manual work and costs; maintains procedures and documentation; and trains and supports team members on tools, reports, and processes. This position may involve prolonged sitting, standing, walking, and computer work, as well as occasional exposure to moderate noise, dust, and fumes in production areas. Rocket Lab offers competitive base pay and company stock. The listed California base pay range is $67,000–$84,000 USD; level and pay are determined case by case based on job-related knowledge and skills, education, and experience.

Requirements

Bachelor’s degree or equivalent years of work experience; alternatively, a high school diploma and 4+ years of total work experience.
Experience with at least one of the following: SQL, R, Python, or Power BI.
Proficiency with Microsoft products, including Outlook, Excel, Word, PowerPoint, and Access.
Exposure to ERP systems.

Nice To Haves

A passion for leveraging AI and technology to solve complex problems and improve operational efficiency.
Proficiency in MRP systems.
Prior experience in a fast-paced manufacturing environment.
Experience developing and deploying AI or machine-learning models.
Experience conducting wide-ranging research and applying findings to real-world applications.
Clear, concise, and confident interpersonal, verbal, and written communication skills.
Team-oriented approach and ability to multitask and work in a fast-paced environment.
Ability to communicate clearly, manage multiple work tasks, and provide regular status updates.
Strong organizational skills and ability to prioritize effectively and efficiently.

Responsibilities

Conduct in-depth analyses using SQL, R, Power BI, Python, and other tools to assess risk, gather intelligence, and formulate actionable plans.
Lead the design, development, and implementation of AI-driven tools and systems for supply chain operations, including intelligent agents and bots.
Collaborate with cross-functional teams to identify opportunities for AI integration, automation, and process optimization across the supply chain.
Develop and deploy machine-learning models to enhance forecasting, inventory management, procurement, and logistics.
Assess and develop opportunities for efficiencies and automation, including using AI to reduce manual tasks.
Contribute to the development and maintenance of procedures and documentation for AI-enabled tools and systems.
Provide training and support to the broader team on new AI tools, reports, and processes.
Identify and propose cost-reduction opportunities across products and services, leveraging AI to uncover efficiencies.

Benefits

Company stock as part of total compensation.
Employee Stock Purchase Program with a 15% discount on company stock.
Medical plans, including HMO, PPO, and a zero-cost HDHP option with a company HSA contribution.
Dental coverage.
Vision coverage.
Paid vacation and sick time.
11 paid holidays.
Flexible spending and dependent care accounts.
Paid parental leave.
Disability insurance.
Life insurance.
401(k) retirement plan with company match.
Subsidized EV charging.
Onsite fitness centers where available.
Discounted gym memberships.
Complimentary snacks and beverages.
50% employee discount on the merch store.
Other employee discounts.