Manager - Engineering, MarTech

April 2

☕ Washington – Remote

Although this job is listed in Washington, this company may be open to hiring remote in other states.

💵 $115k - $230k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🖥 Software Engineer

🦅 H1B Visa Sponsor

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GEICO

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GEICO is a well-known American auto insurance company, providing coverage to a wide range of customers. As a leading provider of car insurance, GEICO is known for its innovative marketing and customer-centric services, delivering affordable insurance options. The company utilizes a user-friendly website for managing policies and claims, applying necessary online privacy measures to protect personal data and improve user experience. While primarily focused on auto insurance, GEICO also offers other types of insurance, including homeowner and renter policies.

Auto Insurance • RV Insurance • ATV Insurance • Boat Insurance • Motorcycle Insurance

10,000+ employees

Founded 1936

💸 Finance

📋 Description

• GEICO MarTech and Ads organization is seeking an experienced Engineering Manager with a passion for building high performance, low-latency platforms, and applications. • You will build and manage a team of engineers with a deep focus on delivering enterprise-wide products to operate in a highly performant and efficient way. • You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement. • Our Engineering Manager is an engineering leader who works with the engineering staff to innovate and build new engineering solutions, improve and enhance existing solutions as well as leverage engineering solutions to solve critical operational problems. • A Senior Engineering Manager will lead strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities.

🎯 Requirements

• Fluency and specialization with Java, Python and SQL • Experience with AI and ML technologies including MLflow, PyTorch and VectorDBs, Scikit-learn and Langchain • Experience with data processing, ETL, DataRobot and Snowflake • Experience building products of micro-services-oriented architecture and extensible REST APIs • Experience building the architecture and design of new and current systems (architecture, design patterns, reliability, security, and scaling) • Fluency in DevOps Concepts, Cloud Architecture and Azure DevOps Operational Framework • Experience with application monitoring tools and performance assessments • In-depth knowledge of CS data structures and algorithms • Experience with solving analytical problems with quantitative approaches • Ability to excel in a fast-paced, startup-like environment • Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap • Experience partnering with engineering teams and transferring research to production

🏖️ Benefits

• Premier Medical, Dental and Vision Insurance with no waiting period** • Paid Vacation, Sick and Parental Leave • 401(k) Plan • Tuition Assistance • Paid Training and Licensures