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Manager/Senior Manager, Engineering

Remote:

Hybrid

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

San Francisco (US), Dallas (US)

Offer summary

Qualifications:

8+ years in Software Development, 2+ years leading technical teams, Bachelor's degree or equivalent, Experience with Python and Java, Hands-on AI/ML experience.

Key responsabilities:

Lead and mentor engineering teams
Guide architectural and technical decisions
Develop and deliver web applications
Collaborate on platform architecture alignment
Manage team growth and project priorities

Polly Fintech: Finance + Technology Scaleup https://www.polly.io/

51 - 200 Employees

See more Polly offers

Job description

Who you are:

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.

Does this sound like you? If so, keep reading and apply today!

What you’ll do:

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.

What you have:

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

Extras you bring to the table:

Deploying into a public cloud service (AWS, GCP, etc.)

Experience with containerization (Docker/Kubernetes)

Solid understanding of distributed systems and building scalable/redundant services

Experience with service monitoring, metrics, alerting, log aggregation, and tracing