Engineering Manager, Data & AI

ChowNow

full-time

Posted on: 9/16/2025

Origin: • 🇺🇸 United States

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💰 $201,875 - $262,500 per year

SeniorLead

Amazon RedshiftAWSETLGoogle Cloud PlatformKafkaPythonPyTorchSDLCSparkTensorflow

About the role

Lead a team of data and AI/ML engineers focused on building systems that fuel product-led growth strategies
Help launch reliable and stable products and support new initiatives to continuously improve user experience
Shape product, software architecture, development process, and engineering culture
Motivate, encourage and lead team members; provide career guidance and performance reviews
Influence new features while tackling engineering-driven initiatives to scale the platform
Report to the Chief Technology & Product Officer and manage a team of 3-4 engineers
Collaborate with Engineering Leadership, Product, and Design; join stand-ups, sprint planning, grooming
Drive team towards regular cadence of building and releasing data and ML products at scale
Coach team on building and delivering new data & ML features and capabilities natively in customer-facing applications
Review product requirements and design documents, perform code reviews, and weigh in on implementation choices
Collaborate on defining high-level technology roadmap addressing tech debt and product roadmap
Lead evolution of software development process and practices for Data & ML domains
Support and collaborate with cross-functional teams to ensure consistent application of engineering practices

10+ years of software engineering experience
5+ years focused on data and ML systems
3+ years managing high-performing engineering teams (listed as teams of 5-12 direct reports)
Experience managing, recruiting, onboarding and fostering high-performing engineering teams
Experience building data pipelines and ML-powered products such as recommendation engines, personalization systems, or agentic workflows
Strong knowledge of modern data engineering stack including real-time data processing (Kafka, Spark), data quality monitoring, ETL/ELT pipelines, Snowflake, dbt
Working knowledge of Python, and TensorFlow or PyTorch
Thorough understanding of ML model deployment including CI/CD pipelines, A/B testing frameworks, feature stores, and automated ML pipelines
Hands-on AWS experience with ML services (SageMaker, EMR, Redshift) or GCP equivalent
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
Passion for team building and a track record of recruiting and onboarding engineers
Care about the quality of work and a fan of rapid iteration and experimentation
Thoughtful mentor and leader who loves supporting your team and collaborating with others
This is a remote role based in the United States; recruiting team will confirm location and eligibility before progressing.