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

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

Company Name

Tatari

Job Title

Data Science Analyst, Intern

Job Description

**Job Title:** Data Science Analyst, Intern **Role Summary:** Support Tatari’s data science initiatives by developing scalable, production‑ready solutions for TV advertising analytics. Collaborate with revenue, client services, and senior data scientists to deliver actionable insights and automate business processes. **Expectations:** - Commit to a minimum 10‑week full‑time internship (Summer 2026). - Learn TV ad measurement and attribution concepts quickly. - Work independently and adapt to a fast‑paced environment. - Communicate findings clearly to cross‑functional teams. **Key Responsibilities:** - Conduct ad‑hoc analyses to address client performance questions. - Assist senior data scientists in improving algorithms and automating workflows. - Manipulate, clean, and explore large datasets using Python (e.g., Pandas, Polars, PySpark). - Translate data insights into actionable recommendations for revenue and client services teams. - Participate in cross‑functional meetings to gather requirements and present results. **Required Skills:** - Proficiency in Python for data manipulation; SQL knowledge is a plus. - Strong analytical and strategic thinking abilities. - Ability to learn new tools/techniques autonomously. - Effective written and verbal communication. - Basic understanding of statistics and probability (preferred). **Required Education & Certifications:** - Currently enrolled in an undergraduate program (minimum two years completed by Summer 2026) in Data Science, Statistics, Computer Science, Mathematics, Physics, Business Administration, or Economics. - Must have at least one academic term remaining after the internship. - No specific certifications required.

Los angeles, United states

Hybrid

Fresher

21-02-2026

Company Name

Tatari

Job Title

Senior Brand Strategic Manager (LCS)

Job Description

Job Title: Senior Brand Strategic Manager (LCS) Role Summary: Lead outbound account‑based marketing and sales for enterprise and performance TV brands, driving pipeline generation, strategic engagement, and full‑cycle deal execution. Own the end‑to‑end process from initial outreach to contract signing, with a focus on penetrating complex organizations and aligning multi‑touch GTM programs. Expectations: - Generate and qualify high‑value opportunities with target accounts, achieving quarterly pipeline and revenue targets. - Close complex deals with senior stakeholders (CMOs, C‑suite, marketing leaders). - Provide actionable insights to senior leadership for GTM strategy, pricing, and forecasting. - Establish scalable operating model and playbook for the Brand Generation team. Key Responsibilities: - Develop and execute outbound ABM campaigns targeting strategic enterprise and performance TV brands. - Initiate and maintain proactive outbound engagement to secure discovery conversations with senior decision‑makers. - Articulate the value of measurement, attribution, and convergent TV inventory to differentiate outreach and win meetings. - Collaborate with Revenue Operations, Marketing, and Sales to refine ICP messaging, build prospect lists, iterate outreach sequences, and test media plans. - Coordinate with post‑sales teams for seamless onboarding, media execution, and long‑term client value realization. - Deliver frontline insights to senior leadership to refine GTM approaches, competitive positioning, forecasting, and pricing models. - Contribute to building a scalable team by defining operating models, metrics, and playbooks for future hires. Required Skills: - 8+ years of B2B enterprise sales experience with proven outbound pipeline generation and closing of long‑cycle deals. - Experience building a book of business from scratch and executing account‑based selling for mid‑market and enterprise clients. - Deep understanding of performance marketing, measurement metrics, and the TV/CTV ecosystem; ability to articulate ROI to senior stakeholders. - Consultative selling skills with CMOs, SVPs, Heads of Marketing, and C‑suite. - Proficiency in CRM and sales engagement platforms (e.g., HubSpot) for targeting, sequencing, pipeline management, and analysis. - Self‑motivated strategic thinker with high ownership, bias for action, and comfort in fast‑paced, growth‑stage environments. - Excellent communication and presentation skills for conveying complex advertising technology and performance data. Required Education & Certifications: - Bachelor’s degree (any field). ---

San francisco, United states

Hybrid

Senior

25-02-2026