Engineering Manager

Within 30 Days You’ll:

• Complete our ChowNow onboarding (Ramp Camp) where you’ll learn the ins and outs about ChowNow and our products.
• Get to know people - your direct team of data engineering, data analytics and AI/ML engineers, as well as the rest of the Engineering organization, Product, and Design. 
• Join team stand-ups, sprint planning, grooming, and more in order to get familiar with the overall product and team processes.
• Familiarize yourself with the end to end development process and SDLC.
• Spend deep dive time with the team to learn more about the core products and how they all fit together.
• Through 1:1s and team sessions, start to understand your team members’ areas of strength and opportunity, in order to be able to provide career guidance and performance reviews.
• Understand how business goals and compliance affect our internal processes.

Within 60 Days You’ll:

• Understand our end to end data and ML stack 
• Drive team towards regular cadence of building and release data and ML products at scale
• Coach your team on building and delivering new data & ML features and capabilities natively in our customer-facing applications
• Develop strong relationships with Engineering Leadership and Product peers.
• Review product requirements and design documents, perform code reviews and weigh in on implementation choices.

Within 90 Days You’ll:

• Collaborate on defining high-level technology roadmap addressing tech debt, product roadmap, and other needs.
• Provide on-going constructive feedback and guidance to your team members and as part of performance reviews.
• Support and collaborate with cross-functional teams to ensure consistent application of engineering practices.
• Lead evolution of software development process and practices specially for Data & ML domains while supporting growth of the team and new product initiatives.

You Should Apply If You:

• You have 10+ years of software engineering experience with 5+ years focused on data and ML systems, including 3+ years managing high-performing engineering teams of 5-12 direct reports
• You have successfully managed teams that built data pipelines and ML-powered products such as recommendation engines, personalization systems, or agentic workflows
• You have strong knowledge of modern data engineering stack including real-time data processing (Kafka, Spark), data quality monitoring, ETL/ELT pipelines, Snowflake, dbt
• You have working knowledge of Python, and TensorFlow or PyTorch
• You have thorough understanding of ML model deployment including CI/CD pipelines, A/B testing frameworks, feature stores, and automated ML pipelines
• You have hands-on AWS experience with ML services (SageMaker, EMR, Redshift) or GCP equivalent
• You are passionate about Observability, ML model monitoring, drift detection, and performance optimization at scale
• Experience with LLMs, RAG systems, vector databases, and transformer architectures is a nice to have
• You have a passion for team building and a track record of recruiting, onboarding and fostering high-performing engineering teams.
• You care about the quality of work your team produces.
• You are a fan of rapid iteration and experimentation. You think about failures as a learning opportunity. 
• You are a thoughtful mentor and leader who loves supporting your team and collaborating with others to achieve great things.
• You thrive in environments supporting your growth, and where you can support others.
• You are passionate with a contagious energy, encouraging those around you to pursue their goals.

About Our Benefits:

• Expected Base Salary Range: $201,875 - $262,500 depending on candidate location
• Ongoing training and growth opportunities.
• A "Best Place to Work" winner multiple times where we focus on creating a great employee experience.
• Rock solid medical, dental, and vision plans.
• Mental Health Coverage - we offer several programs to support your mental health and wellness goals.
• Unlimited Paid Vacation. We expect you to work hard, but still enjoy your personal life
• 7 weeks of baby bonding time for all new parents (within the first year of birth or adoption), 8 Weeks of Paid Pregnancy Leave.
• 401(k) Matching
• Employer-contributing student loan assistance program or continuing education reimbursement program
• Commuter benefits (including Uber Pool).
• Employee Stock Incentive Plan.
• Pet insurance for your fur babies
• Consistent & fair leadership: we’ll share info, set clear goals, show you respect, and treat everyone fairly.
• Enough freedom to spread your wings while still holding you accountable.