Join to apply for the Senior Fullstack Engineer role at Tatari Tatari is on a mission to revolutionize TV advertising. We work with disruptor brands 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. We’re focused on intuitive user experiences, powerful automation, and seamless integrations with data and media partners. The Catalog team builds foundational data and configuration layers enabling Tatari’s media buying, targeting, reporting, and prediction capabilities for TV ad campaigns. We’re evolving our platform to support new channels and AI-driven optimizations. Responsibilities Translate product and business requirements into high-quality, full-stack applications and systems. Participate in technical architecture discussions and peer code reviews, advocating for best practices and maintainable solutions. Collaborate cross-functionally with data scientists, business analysts, media buyers, peer engineers, and product managers. Contribute to the evolution of our engineering culture by mentoring teammates, sharing knowledge, and championing new technologies (including AI/LLM tools). Help design and deliver features that will be used by AI agents or as part of AI/LLM-driven workflows. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field—or equivalent practical experience. 5+ years of experience building production-grade, full-stack applications. Proficiency with modern frontend technologies, especially React and TypeScript. Backend experience with Python. Solid understanding of relational databases and REST/GraphQL API design. Experience delivering software in a collaborative, agile environment. Excellent communication skills and a collaborative, team-first mindset. Openness to leveraging AI tools (e.g., LLMs, code assistants) and a desire to build software that integrates with or serves AI/LLM applications. Bonus: MS in Library Science. Bonus: Experience with advertising targeting metadata or other classification systems. Bonus: Experience with Rust and/or other compiled languages. Bonus: Experience with cloud platforms (AWS, GCP), containerization (Docker), or CI/CD pipelines. Bonus: Familiarity with observability tools, automated testing, and performance optimization. What Makes An Exceptional Candidate Demonstrated ability to deliver features that are robust, scalable, and maintainable. Passion for learning and adopting new technologies, especially in the evolving AI/LLM space. Familiarity with prompt engineering, LLM API integration, or building tools that assist or are assisted by AI agents is a big plus. Comfort with rapid prototyping and iterative development in ambiguous or emerging problem spaces. Track record of mentoring others and elevating team performance. Benefits Total compensation ($175,000 - $210,000) 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 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 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. Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industry: Advertising Services EEO statement: Referrals increase your chances of interviewing at Tatari by 2x.

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