Engineering Manager, Data & AI

September 16

Apply Now
Logo of ChowNow

ChowNow

eCommerce • SaaS • B2B

ChowNow is a platform dedicated to simplifying online ordering for restaurants. It provides a host of tools designed to manage orders efficiently, improve profitability, and enhance the visibility of restaurants through branded mobile apps, integrated ordering systems, and marketing solutions. Restaurants can use ChowNow to create commission-free online ordering directly on their websites and apps, integrate with their POS systems, and leverage advanced reporting tools for analytics. ChowNow focuses on driving direct orders to help restaurants retain full control over their customer relationships and data while cutting down on costly third-party commissions. By offering automated marketing tools and loyalty programs, ChowNow supports restaurants in growing their customer base and increasing repeat business.

201 - 500 employees

Founded 2011

🛍️ eCommerce

☁️ SaaS

🤝 B2B

💰 $21M Series C on 2019-05

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ 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. • 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.

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