Samba TV

HQ
San Francisco
Total Offices: 5
318 Total Employees
Year Founded: 2008

Samba TV Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers supplemental life insurance

Offers company equity

Offers dental insurance

Offers health insurance

Offers dependent care

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides paid holidays

Career Growth + Development

Provides customized development tracks

Company Culture

Office is pet friendly

Provides a mobile phone discount

Provides free snacks and drinks

Offers a remote work program

Recently posted jobs

4 Days AgoSaved
In-Office
2 Locations
AdTech • Machine Learning
Design brand, web, campaign, social, presentation, event, and demand-generation creative. Use Claude Code and Claude Design with Figma to ideate, prototype, and produce work. Build scalable design systems, create motion and AI-assisted animation, visualize complex data, develop presentations and sales materials, and contribute to Framer-based web and campaign builds. Collaborate with Marketing, Sales, Product, and leadership while managing multiple projects and maintaining high creative standards.
7 Days AgoSaved
Hybrid
San Francisco, CA, USA
AdTech • Machine Learning
Assists with revenue accounting under GAAP and ASC 606, including order-to-cash activities, contract reviews, sales orders, revenue schedules, journal entries, reconciliations, invoicing, forecasts, month-end close, audit support, and procedure documentation. Collaborates with legal, sales, business development, customers, and auditors to resolve discrepancies and ensure accurate revenue reporting.
12 Days AgoSaved
Hybrid
3 Locations
AdTech • Machine Learning
Own the design, development, governance, and production integration of Samba TV’s semantic data models and knowledge graph ontologies. Build RDF, OWL, SPARQL, and SHACL-based pipelines; define event-derived attributes; develop entity resolution and enrichment workflows; and apply embeddings, LLMs, vector stores, and GraphRAG. Partner with engineering, data science, and product teams, establish ontology standards, lead design reviews, and mentor junior practitioners.