Senior Backend Engineer, Media Intelligence at Tatari

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Ad Tech, Media IntelligenceIndustries

Requirements

6+ years Python
2+ years building production ML/data systems at scale (using tools like: Spark/Databricks, Delta Lake, MLflow, Airflow)
Deep SQL and data modeling; experience designing feature stores, schemas, and analytics/ML pipelines
Proven experience deploying and operating ML services, including inference logging, drift detection, monitoring/alerting (Databricks, Datadog), and incident response
Familiarity with applied ML for prediction, recommendation, optimization, and explainability in data-rich, real-time environments
Experience working across the organization delivering on large impact initiatives
Nice to have: Experience developing API frameworks (e.g. REST)
Nice to have: Prompt engineering (prompt design, templating, RAG) and LLM evaluation frameworks
Nice to have: Experience enhancing development processes by leveraging agentic coding tools while maintaining a high bar for quality (e.g. Cursor)

Responsibilities

Architect, productionize, and own machine learning models and analytics pipelines (Databricks, Spark, Delta Lake, MLflow) with automated training, inference, and monitoring
Build model observability end-to-end: inference logging, drift/data-quality monitoring, alerting, and dashboards; drive on-call readiness for ML-backed services
Ship ML-powered APIs in backend services (FastAPI), ensuring low-latency, reliable online and batch serving
Evolve core optimization and decisioning algorithms and their explanations to improve accuracy, stability, and user trust
Partner cross-functionally (Data Science, Data Platform, Product, and external integrations) to translate research into production features with clear SLAs
Mentor peers in MLOps best practices (templates, CI/CD, Databricks Connect)

Skills

Key technologies and capabilities for this role

DatabricksSparkDelta LakeMLflowFastAPIMachine LearningAnalytics PipelinesModel ObservabilityInference LoggingDrift MonitoringData QualityAPIsOptimization Algorithms

Questions & Answers

Common questions about this position

What experience level is required for this Senior Backend Engineer role?

The role requires 6+ years of Python experience and 2+ years building production ML/data systems at scale using tools like Spark/Databricks, Delta Lake, MLflow, and Airflow.

What key technical skills are needed for this position?

Candidates need deep SQL and data modeling skills, experience designing feature stores, schemas, and analytics/ML pipelines, plus proven experience deploying and operating ML services with inference logging, drift detection, monitoring/alerting, and incident response.

What is the compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What does Tatari's company culture look like?

Tatari empowers engineers to do their best work at a sustainable pace alongside a stellar group of smart, creative, and humble human beings, with an executive team from top tech companies and startups.

Tatari

Data-driven platform for TV advertising optimization

About Tatari

Tatari provides a platform that allows businesses to buy, measure, and optimize their TV advertising campaigns, making the process similar to digital advertising. The platform uses advanced analytics to deliver real-time data, helping clients make informed decisions about their advertising strategies. This enables them to identify the best networks and programs to reach their target audiences effectively. Unlike traditional TV advertising methods, Tatari's approach focuses on data-driven insights and performance measurement, allowing for flexible management of campaigns. The company's goal is to transform the TV advertising landscape by making it as measurable and manageable as digital ads, ultimately improving clients' advertising performance and return on investment.

San Francisco, CaliforniaHeadquarters

2016Year Founded

CONVERTIBLECompany Stage

Data & Analytics, Consumer SoftwareIndustries

201-500Employees

Benefits

Competitive salary

Stock options

100% health insurance premium coverage

Unlimited PTO & sick days

Snacks, drinks, & catered lunches

Team building events

$1000 annual continued education benefit

$500 WFH reimbursement

$125 pre-tax monthly stipend to spend on whatever you want

Annual mental health awareness app reimbursement

FSA & commuter benefits

Monthly Company Wellness Day Off (During WFH)

Risks

Integration of TheViewPoint with FreeWheel increases competition for Tatari.

The launch of Vault may divert resources from Tatari's core business.

Reliance on third-party data providers poses risks if partnerships are disrupted.

Differentiation

Tatari transforms TV ads into a digital-like experience with real-time analytics.

The platform offers comprehensive campaign optimization across linear and streaming TV.

Tatari's data-driven approach helps clients make informed advertising decisions.

Upsides

Tatari won AdExchanger's 2023 Most Innovative TV Adtech Award.

Integration with Experian enhances Tatari's data and targeting capabilities.

The launch of Vault aligns with the trend towards privacy-first advertising solutions.

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