Engineering Manager

Summary

Join LTK, a leading global company in creator commerce, as an Engineering Manager to lead our Product Catalog efforts. This role involves building and scaling a Product Catalog Service, leveraging your expertise in Golang, Python, Vector Databases, and AI technologies. You will design and build complex systems, provide inputs on engineering excellence, and identify new technologies. As a key member, you'll design, develop, and maintain backend services, collaborating with front-end teams to create seamless user experiences. This highly visible position requires close collaboration with the VP of Engineering and other departments. You will also build a first-class engineering team and mentor less-experienced team members.

Requirements

• 4+ years in leadership roles with a proven and consistent history of leading engineers
• Proven leadership skills, including mentoring and guiding engineers, leading technical initiatives, and collaborating with cross-functional teams
• Ability to lead projects from conception to completion and manage timelines, resources, and priorities effectively
• A commitment to staying up-to-date with industry trends, tools, and methodologies and a passion for sharing knowledge with peers
• Mentor and coach teams within the department
• Highly developed negotiation, facilitation, and consensus-building skills to mediate priority conflicts in an effective and collaborative manner
• Must work well under pressure, be sensitive to deadlines, be able to interact in a team environment, be able to adapt quickly to change, and possess good customer service skills
• Develop and maintain relationships with key stakeholders, including other technical leaders and teams
• Excellent communication skills to effectively convey technical concepts, collaborate with non-technical stakeholders, and guide technical decisions
• Ability to influence technical decisions across teams and mentor others in technical skills and practices
• A mindset focused on seizing opportunities and moving with urgency
• Dedication to fierce prioritization and operational excellence
• Adaptability to a dynamic, fast-moving environment
• A growth mindset and openness to feedback
• Experience: more than 7 years demonstrating a deep understanding of distributed systems and software development principles, architecture, and best practices
• A bachelor's or master's degree in Computer Science, Software Engineering, or a related field is preferred, although relevant work experience can sometimes compensate for formal education
• Design, develop, and deploy software solutions that meet the needs of the business
• Ensure that the engineering team adheres to coding standards, best practices, and compliance requirements
• Have some experience with AI technologies

Responsibilities

• Lead the building and scaling of a Product Catalog Service
• Bring a strong command of Golang, Python, Vector Databases, and AI technologies
• Have expertise in designing and building complex systems, architecture, and solutions
• Provide inputs on engineering and operational excellence and help complete critical engineering projects on time, within budget, and at high quality
• Identify and evaluate new technologies and tools to improve the efficiency and effectiveness of the engineering team
• Demonstrate your ability to solve complex technical challenges, provide innovative solutions, and influence technical direction
• Create and maintain technical documentation, including architectural diagrams, design documents, and project plans
• Design, develop and deploy software solutions that meet the needs of the business
• Willingness to take ownership of complex issues, drive problem resolution, and act as a technical leader in crises
• Build a first-class engineering team that will scale as the company and business grows, identifying and filling any organizational gaps
• Builds and/or sources methodologies, processes, tools to implement consistent, automated testing
• Provides coaching and oversight to other engineers to ensure productivity and quality
• Acts as a mentor to less-experienced team members

Preferred Qualifications

• Expertise in working with various data storage technologies, including relational databases, NoSQL databases and Vector databases
• Strong understanding of data processing frameworks like Apache Spark, Apache Flink, Apache Beam, or Hadoop MapReduce. Experience in designing and optimizing data processing pipelines for performance and scalability is important
• Knowledge of stream processing frameworks like Apache Kafka or Apache Pulsar is valuable for handling real-time data streams
• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform, and their big data services (e.g., Amazon EMR, Azure HDInsight, Google Cloud Dataproc)
• Familiarity with containerization (Docker) and orchestration tools (Kubernetes) for deploying and managing big data applications
• Understanding of data modeling concepts and experience with Extract, Transform, Load (ETL) processes for transforming and moving data between systems
• Proficiency in optimizing big data applications for performance, throughput, and resource utilization

Benefits

• The opportunity to be part of the leading global company in creator commerce
• A remote-first, productivity-first environment
• Competitive compensation and benefits package to meet the needs of you and your family
• 401(k) with LTK company matching
• Medical Insurance, Vision Insurance, Dental Insurance
• Paid Maternity Leave and Paid Paternity Leave
• Summer Fridays and Flexible PTO