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. 

In this role, you will lead the Media Intelligence team of Senior Engineers and Data Scientists (mensches one and all). Our mission is to build a high quality and scalable ML platform to power the next generation of intelligent recommendations for Media Buying and insights. You will play a key role shaping the future of the platform and enabling effective collaboration between engineers and data scientists, leveraging a vast trove of data including historical performance, predictive analytics, and third party datasets. You will work closely with a dedicated Product Manager and Data Science leaders alongside adjacent teams in a collaborative culture focused on understanding and serving our users as we build the future of TV media buying. As we are growing quickly, you will hire and onboard new team members and define the growth roadmap for the highly cross functional team.

The impact you will have:

• Technical leadership. Effectively manage highly complex AI/ML company deliverables while championing high performance standards through predictable delivery and engineering excellence. Participate in technical architecture discussions and peer code reviews
• Management. Grow and manage your team. Hire, onboard, and mentor new team members.
• Planning. Pair with product management and data science partners to define the product roadmap for your team and make good trade-offs between product delivery and sustaining engineering
• Cross-functional execution. Coordinate with other internal stakeholders (data science, product marketing, customer support, SRE) to help drive larger company initiatives

What we look for:

• 5+ years of experience as an Engineering Manager in a software development org
• Strong communicator with excellent people skills to interact with various teams including product, design, data science, and platform teams.
• Experience managing, developing, testing, and iterating on user-facing machine learning models
• Experience working directly with data science and research partners in delivering machine learning models
• Familiarity and comfortable with key methods of evaluating models and ensuring they meet the needs of the user and the business
• Significant experience using data and analytics to solve problems
• Demonstrated success building and shipping software products in spite of market ambiguity or company challenges
• Experience with our tech stack: Python, Postgres, Airflow, Redshift, Spark, etc.

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 ($150,000 - $200,000/annually)
• Equity compensation
• Health insurance coverage for you and your dependents
• 401K, FSA, and commuter benefits
• $150 monthly spending account
• $1,000 annual continued education benefit
• $500 WFH reimbursement
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, and catered lunches at the office
• Team building events 
• Hybrid RTO of 2 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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