Staff Engineer, Data Engineering

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Media, Advertising Technology, Artificial IntelligenceIndustries

Requirements

Candidates should have 7+ years of experience with big data systems processing petabyte-scale data, a Bachelor's or Master's degree in Computer Science or a related field, and experience in fast-paced, high-ambiguity, high-innovation environments. Familiarity with messaging systems, batch processing, serverless, and streaming technologies, along with an understanding of OLTP and OLAP database systems, is required. Proven experience implementing retrieval-augmented generation (RAG) systems and handling database design for large-scale transaction management, reporting, and analytics is essential.

Responsibilities

The Staff Engineer will drive design and architecture for data infrastructure supporting AI agents, focusing on feature serving and real-time ML feature serving. They will design, code, test, and release high-quality software for ML feature pipelines and real-time serving infrastructure with sub-millisecond latency. Responsibilities include running live experiments to optimize data delivery, collaborating with cross-functional teams to design scalable data solutions, and applying engineering expertise to challenges unique to serving large data volumes to agentic systems. The role also involves supporting on-call duties for critical AI serving infrastructure, mentoring junior engineers on AI infrastructure challenges, and writing technical documents to influence architectural decisions.

Skills

Data Engineering

Low-latency data pipelines

Architecture

Data infrastructure

ML feature pipelines

Real-time serving infrastructure

Experimentation

Caching strategies

Pre-fetching

Adaptive pipeline architectures

Madhive

Programmatic advertising for Connected TV campaigns

About Madhive

MadHive focuses on programmatic advertising in the Connected TV (CTV) space, providing tools for clients to plan, execute, and measure their TV ad campaigns. Its platform includes features for performance prediction, custom reporting, and audience targeting across Over-The-Top (OTT) markets in the U.S. What sets MadHive apart is its decisioning engine and data mapping capabilities, which allow for precise targeting in 210 domestic Designated Market Areas (DMAs). The company's goal is to improve the efficiency and effectiveness of TV advertising through advanced technology.

New York City, New YorkHeadquarters

2016Year Founded

$298MTotal Funding

LATE_VCCompany Stage

Data & Analytics, Consumer SoftwareIndustries

201-500Employees

Risks

Competition from established CTV players like Roku and Amazon could pressure MadHive's market share.

Rapid evolution of privacy regulations may increase MadHive's operational costs.

Reliance on third-party data providers poses risks if partnerships face disruptions.

Differentiation

MadHive integrates secure blockchain technology for privacy-focused advertising solutions.

The platform covers 100% of OTT markets across 210 US DMAs.

MadHive offers customizable solutions, allowing clients to use their own data and systems.

Upsides

Increased demand for privacy-focused advertising aligns with MadHive's blockchain integration.

The rise of cross-platform measurement tools complements MadHive's customer intent data capabilities.

The shift towards programmatic advertising in CTV benefits MadHive's comprehensive solutions.

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