Manager/Senior Manager of Engineering, Polly

• You are a dynamic Engineering Manager / Senior Engineering Manager with a blend of 8+ years of Software Development and technical people leadership experience under your belt and are looking for your next challenge in a hyper-growth, fast-paced, industry disrupting, SaaS company
• You are excited to work with emerging technologies and modern tech stack with a collaborative team, where you will have a direct impact on the customer experience
• Proven track record of success in large enterprise SAAS Software, distributed systems, scalability, data pipelines and continuous development
• Bachelor’s degree or equivalent and 6-10 years’ experience OR Master’s degree and 5-7 years’ experience
• 2+ years leading technical teams
• Senior level skill-set with core programming languages (Python, Java, C#, C/C++, etc.)
• Experience working with distributed systems, inter-service communication protocols, and APIs (e.g. REST, NSQ, etc.)
• Experience working with relational databases and SQL

Desirable

• Lead and mentor multiple engineering teams, fostering a collaborative and inclusive culture. Ensure team members have the resources and guidance to succeed
• Guide the teams in making sound architectural and technical decisions. Provide input on key engineering challenges and ensure the adoption of best practices in software development, testing, and deployment
• Lead the design, development, and delivery of web applications and services, leveraging technologies such as Python, Django, TypeScript/JavaScript, Vue.js, Postgres, and AWS
• Develop, implement, and test prompting strategies for a variety of products over various LLMs, pushing the boundaries of AI capabilities
• Guide the maintenance of existing codebases and champion writing maintainable code through documentation, thoughtful architecture, and robust automated testing
• Collaborate with stakeholders to define and lead the architecture and strategic direction of the platform, ensuring alignment with broader business objectives
• Drive the development of analytics and AI-powered features, ensuring smooth data pipelines, efficient storage, and insightful outputs from data models and machine learning algorithms
• Lead the creation and scaling of data pipelines, including working with data warehouses, optimizing data flows, and leveraging insights to fuel AI services
• Take ownership of team growth by actively participating in interviewing, hiring, and onboarding new team members to enhance the team’s capabilities
• Set a clear vision for development best practices, methodologies, and foster a culture of continuous improvement within the team
• Manage team priorities and ensure the timely delivery of projects, balancing urgency with long-term business impact
• Conduct thorough code reviews, establish best practices, and implement the latest tools and techniques to drive technical excellence within the team
• Foster innovation within the team by generating and nurturing ideas for advanced technological solutions that contribute to the company’s competitive edge
• [Required] Bring experience in building data pipelines and working with data warehouses such as Redshift, Snowflake, etc., and guide the team in optimizing their use
• [Required] Demonstrate hands-on experience in AI/ML systems, particularly in designing and deploying models, and translating complex data into actionable insights for business growth