Build and operate full-stack product features across frontend interfaces, backend APIs, data pipelines, analytical SQL, authentication, and multi-cloud infrastructure. Maintain BigQuery measurement logic, caching layers, Firebase/Auth0 authorization, and GCP/AWS integrations. Ensure testing, observability, and production reliability while contributing to architecture and technical roadmaps. Develop or integrate LLM-powered workflows and AI agents, investigate unfamiliar production codebases, and mentor junior engineers.
Samba connects the advertising industry. Today, a trillion dollars of media flows through platforms that don’t talk to each other, and each one measures its own results. We built the independent alternative: consented first-party data and AI that give the world’s biggest advertisers, publishers, and platforms one clear view across all of it.
The next era of advertising will run on AI agents, and those agents will need data they can trust. We’re building that foundation, and the agents that act on it. Join us and help build what the industry runs on.
Samba's Product Engineering team builds the software that puts our data to work: customer-facing platforms, internal tooling, and the APIs and services that connect them. You own features and systems across the stack, from web frontends to backend services, data pipelines, and cloud infrastructure, in work that goes well beyond CRUD: analytical SQL over large-scale TV viewership data, caching pipelines, a multi-cloud environment, and a non-trivial auth model.
- Own Features: Own features end to end, from frontend interfaces and backend services and APIs to data models and the infrastructure that runs them.
- Write Analytical SQL: Write and maintain analytical SQL over large-scale datasets (BigQuery), understanding the domain well enough to extend measurement logic correctly.
- Run Data Pipelines: Design and operate data pipelines and caching layers between raw data and the product surface.
- Evolve the Auth Model: Maintain and evolve the auth and authorization model across Firebase, Auth0, and Firestore security rules.
- Manage Multi-Cloud: Manage multi-cloud integrations across Google Cloud Platform (GCP) services (BigQuery, Cloud Functions, Firestore, Cloud Storage) and Amazon Web Services (AWS) (S3).
- Hold the Bar: Hold a high bar for testing, observability, and reliability: instrument what you ship and own its behavior in production.
- Shape Architecture: Participate in architecture reviews, contribute to the technical roadmap, and mentor junior engineers.
What You Bring
- 5+ years of experience building and operating production software, with strong command of TypeScript or JavaScript across frontend and backend.
- Experience building backend services and APIs, including RESTful design, authentication patterns, and token-based auth flows.
- Comfortable writing non-trivial SQL (window functions, aggregations, query optimization); experience with BigQuery or a similar analytical datastore is a plus.
- Hands-on experience with cloud infrastructure (serverless or managed compute, object storage, secret management, scheduled jobs) and familiarity with eventual consistency and cache invalidation patterns in distributed systems.
- Proficient in agentic development, building or integrating large language model (LLM) powered workflows, tool-use patterns, or AI agents in production.
- Comfortable doing archaeology in production codebases: reading unfamiliar code, identifying live versus legacy paths, and making safe changes.
- Nice to have: React and modern frontend patterns; Firebase (Cloud Functions, Firestore, Authentication); GCP and/or AWS in production; an adtech, audience measurement, or CTV and OTT background; and exposure to reach, frequency, and attribution.
Compensation
$182,000 - $246,000 a year
Samba expects to offers On-Target Earnings (OTE) of $182,000 - $246,000 per year for roles to be performed in California; actual base salary offered will depend on various factors, including but not limited to, location, experience, and performance. Base salary is just one component of Samba's total compensation package for employees. Other rewards may include bonuses, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
Samba is an equal opportunity employer.
Your personal information
We collect personal information directly from you when you apply. Where the law permits, we may also receive it from third parties, such as through background, employment, or reference checks. For details, see Samba’s Applicant Privacy Policy. For EU residents, Samba Inc. is the data controller.
Use of AI in hiring
We may use AI tools to help review applications, analyze resumes, or assess responses. These tools support our recruiting team. People make every hiring decision. To learn more about how we process your data, please reach out.
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead technical direction and implementation of large-scale product features, delivering secure, reliable, maintainable full-stack software. Collaborate with product, design, and engineering teams, address production issues, conduct code reviews, document solutions, and mentor teammates. Build and test front-end and server-side systems using modern frameworks, APIs, databases, and data-driven development practices.
Top Skills:
A/B TestingAngularjsChaiCSSCypressGraphQLHTML5JavaJavascript Es6JestMochaNode.jsReactRest ApisSQLVue
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Develops and maintains full-stack client-side, server-side, and desktop software for mission-critical satellite systems. Designs APIs and web services, integrates capabilities across engineering teams, and optimizes applications for scalability, performance, and reliability. Responsibilities include troubleshooting, upgrades, testing, code reviews, documentation, and continuous improvement. The role requires Java experience, software lifecycle leadership, CI/CD expertise, a bachelor's degree, an active U.S. Secret clearance, and onsite work in El Segundo, California.
Top Skills:
BashCi/CdConfluenceCoverityCSSGitlabGrpcHibernateHTMLJavaJava EeJava SwingJavafxJavaScriptJenkinsJIRAJspKotlinMavenMicroservicesMicrosoft Sql ServerOracle LinuxQuarkusRed HatRelational DatabasesRestSonarqubeSpring BootSQLTailwindThymeleafXML
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design and implement AI-powered agent builder features and scalable web applications for the Moveworks Agentic Assistant ecosystem. Build web technology stacks including authentication, event tracking, application platforms, design systems, and backend APIs. Collaborate with product, machine learning, and engineering teams to improve user experiences, support global expansion, and drive customer adoption.
Top Skills:
APIsGenerative AiMachine LearningReactWeb Ui Frameworks
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
