Staff Engineer, MadHive
Data Engineering
$200-275k
Advertising solution leveraging cryptography and machine learning
Be an early applicant
Advertising solution leveraging cryptography and machine learning
101-200 employees
Be an early applicant
$200-275k
101-200 employees
Company mission
To empower our clients to create enduring relationships with consumers through maximum-fidelity, TV-first technology that elevates media, embodies relentless innovation, and ensures unrivalled revenue acceleration.
Role
Who you are
- 7+ years’ experience working with big data systems that can process and transform data at petabyte scale
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
- Experience working in a brisk-paced, high-ambiguity, high-innovation delivery environment
- Familiar with messaging systems, batch processing, serverless, and streaming technologies
- Understanding of both OLTP and OLAP database systems
- You are an engineer for whom the dataset size doesn’t matter. Your team’s services can return results with the same accuracy and latency, whether from a 1 GB or 10 PB dataset
- You’ve implemented multiple retrieval-augmented generation (RAG) systems and are intimately familiar with the trade-offs between different types of low-latency data retrieval systems
- Handled database design and considerations for data at scale for transaction management, reporting, and analytics
- You enjoy designing and implementing critical parts of complex systems, utilizing best-of-breed algorithms, design patterns, and system design skills
- Handled operational aspects of large-scale systems focusing on observability, tech debt management, code refactoring, and robust software development and release processes
What the job involves
- We are seeking an experienced Staff Engineer to join our Maverick AI team
- The successful candidate will build dynamic, very low-latency data pipelines and innovate novel, concise, and high-performing architectural improvements
- You will lead as we develop best practices and create stability and operational efficiency for our increasingly complex data and database systems
- In this role, you will be a pivotal figure in shaping our technical strategy and execution for Maverick AI
- Our data drives the capability of our AI product. Collaboration with our product team and other technology leaders will be central to your responsibilities
- Drive design and architecture discussions for data infrastructure supporting multiple autonomous AI agents, building alignment on complex decisions around feature serving, dynamic data access patterns, and real-time ML feature serving
- Design, code, test, and release high-quality software for ML feature pipelines and real-time serving infrastructure, ensuring our AI agents can access features with sub-millisecond latency across 100+ models
- Run and measure live experiments to optimize data delivery for unpredictable agent behavior patterns, testing hypotheses about caching strategies, pre-fetching, and adaptive pipeline architectures
- Collaborate with cross-functional teams including AI researchers and ML engineers to understand how different agents generate research requests and design data solutions that scale with their evolving needs
- Apply your engineering expertise to solve challenges unique to serving large volumes of data to agentic systems, such as handling sudden request spikes when multiple agents converge on similar research areas or managing feature freshness for real-time model inference
- Support on-call assignments for critical AI serving infrastructure, ensuring feature pipelines maintain reliability even under unpredictable agent-generated loads
- Mentor junior engineers on the unique challenges of AI infrastructure, from feature engineering best practices to debugging data issues in multi-model serving environments, supporting hiring and evaluation of candidates
- Write technical documents to influence architectural decisions around our feature store design, agent data access patterns, and strategies for scaling to thousands of models
- Articulate technically complex topics in an easy-to-understand way via written and verbal communication methods
- Our stack runs entirely on GCP. Our engineers are language agnostic, but core technologies for our backend include Golang, gRPC, BigQuery, Postgres, Airflow, Bigtable, Docker, Spanner, Firebase, Kubernetes, and Terraform
Our take
The rise in streaming content has revolutionized digital advertising, offering advertisers the potential for more precise campaign calibration. However, alongside this opportunity come new challenges such as consumer overload, ad fraud, and data privacy concerns, compounded by the need to integrate with traditional linear television. Navigating these complexities requires a comprehensive solution, and that's where MadHive steps in.
Utilizing AI echnology, MadHive's video ad software suite tackles these challenges head-on. It intelligently identifies optimal ad placements, manages ad frequency to prevent saturation, and gauges consumer intent across various platforms including web, mobile, and TV. This capability allows advertisers to execute nationwide campaigns with pinpoint local targeting - a remarkable achievement in the dynamic digital content landscape.
Unsurprisingly, MadHive boasts an impressive client roster, boasting a 95% renewal rate with major names like Fox, McAfee, and Tegna Premion. This consistent satisfaction has propelled MadHive to expand its offering into critical areas such as data privacy. For instance, its $100M contract with Google Cloud not only enhances its security measures but also equips it with capabilities that smaller competitors will struggle to match.
Steph
Company Specialist at Welcome to the Jungle
Insights
36% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jun 2023
$300m
LATE VC
Aug 2018
$3m
EARLY VC
Total funding: $306.4m
Company benefits
- 100% Company-Covered Health Insurance
- Dental Benefits
- Vision Benefits
- Generous Maternity and Paternity Leave
- $10k Towards Family Forming Benefits
- Paid Holidays
- Unlimited Vacation
- 401(k) Matching
- Company Equity
- Retirement Plans
- Performance Bonuses
- $1,000 Home Office Stipend
- Free Lunch In-Office
- Commuter Benefits
Company HQ
Tribeca, New York, NY
Leadership
Adam Helfgott
(Founder)Previously CTO at Metrofunk, before co-founding Lookbooks Media, and serving on the Advisory Board to Blockdaemon. Is also a Project Lead at MAD Network.
Share this job
View 8 more jobs at MadHive