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.
Top Skills
What We Do
ChowNow’s vision is to become the leading North American platform connecting diners and independent restaurants for at-home dining. The ChowNow Platform continues to grow its product offerings and bring restaurants and diners closer together. Our marketplace provides commission-free ordering for restaurants nationwide and diners with an ever-growing selection of independent restaurants. Our demand network provides diners with the ability to order where they’re already online, including Google, Yelp, Instagram, Snap, and many others. And our white-labeled online ordering system provides restaurants with a branded experience for diners on their website and their own iOS and Android apps for a reasonable monthly fee regardless of order volume. To date, we’ve created over 20,000 apps for our restaurant partners – something that’s never been done before in our category. We operate this way because of our belief in being fair, sustainable, and equitable with our restaurant partners and the same goes for our culture.
Why Work With Us
Diversity, teamwork, and mutual respect are among our core company values. We pride ourselves on giving our teams plenty of opportunities to make their mark. Join us and help ensure ChowNow becomes the diner’s first choice for socially responsible online ordering. Together we can preserve neighborhood flavor, one restaurant at a time.
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ChowNow Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Our hybrid policy asks local Los Angeles employees to come in 2 times a week to allow for in person collaboration and cross-functional relationship building. Our open air, Culver City Headquarters is spacious and inviting for teams to be together.