Tatari

About the Company

Tatari is building the infrastructure to modernize TV advertising for Brands, Agencies, and Publishers. Clients include Made In, Daily Harvest, Wpromote, and Fubo. Recognized by Business Insider as one of the Hottest Ad Tech Companies of 2023 and by Digiday as the Best CTV Platform of 2024, Tatari is headquartered in San Francisco with further offices in Los Angeles and New York. For additional information, please visit tatari.tv

Listed Jobs

Company Name

Tatari

Job Title

Software Engineer, Backend

Job Description

**Job title** Software Engineer, Backend **Role Summary** Design, build, and scale backend services for a programmatic TV advertising platform. Focus on modern Python development, distributed system architecture, and data‑centric pipelines to support real‑time analytics and API services. **Expectations** - Deliver clean, production‑ready Python code on schedule. - Contribute to technical architecture decisions and maintain high code quality through peer reviews. - Extend platform capabilities by improving data pipelines, APIs, and overall system scalability. **Key Responsibilities** - Write concise, well‑tested Python application code. - Participate in architecture discussions and peer code reviews. - Drive changes to data pipelines and scalable API designs. - Work cross‑functionally to capture business requirements and implement new product features. **Required Skills** - 3+ years of software development experience using Python (object‑oriented or functional style). - 2+ years building distributed systems at scale. - 2+ years with modern data infrastructure (RDS, Databricks, Spark, Redshift, Kafka, Airflow, lakehouse architectures, real‑time databases, dbt). - Deep SQL knowledge and data‑modeling expertise. - Ability to design and implement APIs (REST, gRPC, GraphQL). - Interest in AI/ML feature development. - Familiarity with agentic coding tools that enhance productivity while maintaining code quality. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience). ---

San francisco, United states

Hybrid

30-12-2025

Company Name

Tatari

Job Title

Fullstack Engineer

Job Description

**Job Title:** Fullstack Engineer **Role Summary:** Develop scalable, production-grade full-stack applications for TV advertising platforms, focusing on campaign management and analytics. Integrate AI-driven features to enhance automation and insights. **Expectations:** - Own features from architecture to delivery. - Collaborate with cross-functional teams (product, data science) to meet business goals. - Champion AI/LLM tool usage for productivity and product development. **Key Responsibilities:** - Translate product requirements into full-stack solutions for campaign management and reporting tools. - Participate in technical design, code reviews, and agile delivery. - Build interactive dashboards, data pipelines, and AI-powered insights. - Mentor peers and advocate for engineering best practices. - Design AI/LLM integrations for automation and agent-driven workflows. **Required Skills:** - Frontend: React, TypeScript. - Backend: Python, SQLAlchemy, GraphQL. - Databases/APIs: Relational databases, REST/GraphQL design. - Agile methodology for collaborative software delivery. - AI/LLM tool proficiency (e.g., LLM APIs, prompt engineering). **Required Education & Certifications:** - Bachelor’s/Master’s in Computer Science, Engineering, or equivalent. - 3+ years of full-stack production experience. --- *Note: Excludes location, company details, benefits, and non-essential fluff to align with ATS and global neutrality requirements.*

Los angeles, United states

Hybrid

Junior

01-01-2026

Company Name

Tatari

Job Title

Staff Platform Engineer (DevOps/SRE)

Job Description

Job title: Staff Platform Engineer (DevOps/SRE) Role Summary: Lead platform reliability and scalability for a cloud‑native TV advertising platform, driving infrastructure design, operations, security, and performance across application, data, and business intelligence services. Expactations: • 5+ years cloud infrastructure experience (AWS preferred). • Proven expertise in auto‑scaling, CDN, DNS, load balancing, multi‑region/multi‑tenant topologies, proxy servers, and WAFs. • Strong Linux, shell/bash, and Python scripting skills. • Hands‑on monitoring/logging (DataDog, Kibana) and container orchestration (Kubernetes, Docker). • Terraform or equivalent provisioning, PostgreSQL/RDS or similar RDBMS management. • Ability to collaborate with data scientists, engineers, and product managers. Key Responsibilities: • Manage and support customer‑facing applications and business‑intelligence systems. • Identify and implement reliability and performance enhancements across infrastructure. • Participate in technical architecture discussions, focusing on deployment, security, and availability. • Collaborate with cross‑functional teams to translate business needs into infrastructure solutions. • Oversee and maintain cloud resources, scaling, and cost optimization. Required Skills: • AWS cloud operations: EC2, Auto Scaling, ELB, Route 53, CloudFront, WAF, CloudWatch. • Containerization: Kubernetes (k8s), Docker. • Infrastructure as code: Terraform (preferred). • Monitoring & observability: DataDog, Kibana, ELK stack. • Scripting: Bash, Python. • Relational databases: PostgreSQL/RDS, optional Redshift. • ETL & data ingestion concepts; streaming/big‑data knowledge (Kafka, Spark) considered a plus. Required Education & Certifications: • No specific degree required; industry certifications (AWS, Kubernetes, Terraform) are advantageous.

San francisco, United states

Hybrid

Mid level

08-02-2026

Company Name

Tatari

Job Title

Data Science, Intern

Job Description

**Job Title:** Data Science Intern **Role Summary:** Short‑term, full‑time research and development role focused on creating scalable data science solutions for TV advertising performance measurement and optimization. **Expectations:** - Deliver production‑ready analytics, models, and insights within a fast‑paced summer internship (late May – early August). - Collaborate cross‑functionally, communicate findings effectively to both technical and non‑technical stakeholders, and iterate on solutions based on feedback. **Key Responsibilities:** 1. Design, prototype, and deploy data science pipelines (analytics, algorithms, predictive models) to support ad‑performance metrics. 2. Clean, transform, and analyze large, heterogeneous datasets using SQL, Python, and Pandas. 3. Work with Product, Engineering, and Client Services teams to gather requirements, define success metrics, and validate solutions. 4. Summarize analytical results in clear written reports and presentations for senior stakeholders. 5. Continuously research and apply emerging data science techniques to improve model accuracy and operational efficiency. **Required Skills:** - Proficient in SQL and Python (Pandas, NumPy, scikit‑learn). - Strong foundation in statistics, probability, and quantitative analysis. - Ability to work independently, learn rapidly, and adapt to evolving project needs. - Excellent written and verbal communication, with experience presenting findings to mixed audiences. - Self‑motivated, strategic thinker capable of turning data into actionable insights. **Required Education & Certifications:** - Currently enrolled in a graduate program (Masters/Ph.D.) in Data Science, Statistics, Computer Science, Mathematics, Physics, or a related STEM discipline; internship while still a student. ---

Los angeles, United states

Hybrid

Fresher

21-02-2026