Asks for

The ad says“Hands-on experience with agentic coding tools (e.g., Cursor, Copilot, Cody) to accelerate development while maintaining a high quality bar”
The ad says“4+ years with a modern data stack (RDS, Databricks, Spark, Redshift, Kafka, Airflow, lakehouse architectures, real-time databases, dbt, etc.)”
The ad says“Hands-on experience with agentic coding tools (e.g., Cursor, Copilot, Cody) to accelerate development while maintaining a high quality bar”
The ad says“Hands-on experience with agentic coding tools (e.g., Cursor, Copilot, Cody) to accelerate development while maintaining a high quality bar”
The ad says“Hands-on experience with agentic coding tools (e.g., Cursor, Copilot, Cody) to accelerate development while maintaining a high quality bar”
The ad says“Deep SQL and data modeling expertise”
The ad says“4+ years with a modern data stack (RDS, Databricks, Spark, Redshift, Kafka, Airflow, lakehouse architectures, real-time databases, dbt, etc.)”
The ad says“4+ years with a modern data stack (RDS, Databricks, Spark, Redshift, Kafka, Airflow, lakehouse architectures, real-time databases, dbt, etc.)”
The ad says“4+ years building distributed systems at scale”
The ad says“4+ years with a modern data stack (RDS, Databricks, Spark, Redshift, Kafka, Airflow, lakehouse architectures, real-time databases, dbt, etc.)”
The ad says“Experience evaluating and deploying LLM-based systems in production (latency, cost, reliability trade-offs)”
The ad says“4+ years with a modern data stack (RDS, Databricks, Spark, Redshift, Kafka, Airflow, lakehouse architectures, real-time databases, dbt, etc.)”
The ad says“6+ years developing software with object-oriented and/or functional programming languages - Python required”
The ad says“4+ years with a modern data stack (RDS, Databricks, Spark, Redshift, Kafka, Airflow, lakehouse architectures, real-time databases, dbt, etc.)”
The ad says“4+ years with a modern data stack (RDS, Databricks, Spark, Redshift, Kafka, Airflow, lakehouse architectures, real-time databases, dbt, etc.)”
The ad says“4+ years with a modern data stack (RDS, Databricks, Spark, Redshift, Kafka, Airflow, lakehouse architectures, real-time databases, dbt, etc.)”
The ad says“Deep SQL and data modeling expertise”

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers 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, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

We are looking for Senior Backend Engineers to join Tatari and play a key role in the evolution and scaling of our platform. In this role, you will contribute to system architecture decisions, mentor junior team members, promote best practices, and ship high-quality code to production daily. At Tatari you are empowered to do your best work at a sustainable pace with a stellar group of smart, creative, and humble human beings. Come help us build a television first programmatic buying experience!

Responsibilities:

Architect and own the development of new features
Collaborate with tact and lead with empathy across the organization on system architecture, technology, and scaling decisions
Mentor more junior members of the team
Design relational and non-relational data models for optimal storage, retrieval, and complex processing/calculations
Drive technical architecture discussions and peer code reviews

Collaborate effectively with Data Science, Product, and across engineering teams to push boundaries, shape our roadmap, and deliver on our mission

Qualifications:

6+ years developing software with object-oriented and/or functional programming languages - Python required
Hands-on experience with agentic coding tools (e.g., Cursor, Copilot, Cody) to accelerate development while maintaining a high quality bar
Experience evaluating and deploying LLM-based systems in production (latency, cost, reliability trade-offs)
4+ years building distributed systems at scale
4+ years with a modern data stack (RDS, Databricks, Spark, Redshift, Kafka, Airflow, lakehouse architectures, real-time databases, dbt, etc.)
Deep SQL and data modeling expertise
Experience working across the organization delivering on large impact initiatives
Nice to have:

Experience developing highly available API using modern frameworks (e.g. REST, gRPC, GraphQL)
Experience developing applied AI/ML-enabled features
Familiarity with prompt engineering, RAG architectures, evaluation frameworks, or fine-tuning

Benefits

Total compensation ($170,000 - $200,000)
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 Newbie Productivity Perk
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 in office

Asks for

Values