Engineering Manager, Data Platform

Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Vuori, Rocket Money, and hundreds more—to grow their business using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience. Our technology and services are pushing the industry forward, enabling businesses of any size to advertise on TV.

Named one of the 16 Hottest Ad Tech Companies by Business Insider and Best Places to Work by Inc. Magazine, Tatari is experiencing rapid growth. Our executive team is comprised of former founders and senior leaders at fast-rising startups like Shazam, TrueCar, AdapTV, and LiveRail and larger, more established tech companies like Amazon, Google, Meta, Microsoft, and Yahoo. 

You will manage the Data Platform team (7 engineers), working closely with product, data science and other engineering teams to deliver data solutions that support client and media planning evaluation of streaming television ad campaigns. You will work closely within the measurement and data engineering groups to set technical direction and make effective trade-off decisions (but not write code yourself). As we are growing, you will need to help hire and onboard new team members and define the growth roadmap for the team.

Responsibilities

• Lead and mentor a team of data infrastructure engineers. Set ambitious goals for your team and drive effective projects to achieve these goals. 
• Grow and manage your team. We’ll give you the resources and support to build out an amazing engineering team, but it’s up to you to create and execute that plan.
• Define and drive the data platform strategy, ensuring prioritization and alignment with broader business goals.
• Coordinate with other internal stakeholders such as Data Science, Product, Site Reliability and other engineering teams to help deliver company initiatives.
• Help to iterate and improve our team processes, focusing on efficiency and quality.
• Sponsor good technical decision making for the org. Ensure the data platform architecture is scalable, reliable, and optimized for performance.
• Oversee budgeting, resource allocation, and relationship management with external providers (e.g., AWS, Databricks)

Qualifications

• Minimum 4 years of Engineering Manager experience in a software development org
• Significant experience building scalable data pipeline services and data storage systems.
• Significant experience using data and analytics to solve problems.
• Strong SQL, analysis, code quality, testing, and technical writing skills
• Experience with Python, Postgres, Clickhouse, Airflow, Kubernetes, Databricks, Spark and the AWS ecosystem is strongly preferred.
• Experience with AI, Machine learning, Deep learning and MLOps is desirable but not required.
• Experience LLMs, vector stores, other big data processing technologies, streaming-data, and large columnar datastores is desirable but not required.
• Demonstrated success building and shipping software products in spite of market ambiguity or company challenges.

About our engineering values

• Customers come first
• We hold ourselves to high standards
• We are great collaborators
• We stay humble and always seek to improve
• Silliness is a virtue

Benefits:

• Total compensation ($190-235K/Annually)
• Equity compensation
• 100% health insurance coverage for you and your dependents
• Unlimited PTO and sick days
• Snacks, drinks, and catered lunches at the office
• Team building events 
• $1,000 annual continued education benefit
• $500 WFH reimbursement
• $125 pre-tax monthly stipend to spend on whatever you want
• Annual mental health awareness app reimbursement
• FSA and commuter benefits
• Monthly Company Wellness Day Off
• Hybrid RTO of 2-3 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

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