Data Analytics Manager, MadHive
$105-135k
3 days a week in office
Advertising solution leveraging cryptography & machine learning
Be an early applicant
Advertising solution leveraging cryptography & machine learning
201-500 employees
Be an early applicant
$105-135k
3 days a week in office
201-500 employees
Company mission
To take complex, cutting-edge technology and turn it into intuitive, easy-to-use solutions that empower local media buyers.
Role
Who you are
- The AI Edge: Hands-on experience building with LLMs and AI agent frameworks—you have shipped real AI-powered tools, not just experimented with them
- Technical Toolkit: Strong proficiency in SQL and Python for building repeatable analytics; understanding of Salesforce (+ data model, APIs, reporting, and permissions) is valuable
- GTM & Partnership Fluency: Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous, high-growth, data-intensive environments
- Industry Context: Familiarity with advertising technology, digital media, measurement, or platform-based commercial models is highly preferred. Experience in CTV, Digital Audio and DOOH is a bonus
- Product Mindset: Experience building repeatable analytics, signals, or insight workflows rather than relying solely on ad-hoc analysis
- Cross-Functional Collaboration: Proven experience partnering effectively with technical teams and a broad set of internal stakeholders, including client- and partner-facing teams
- Communication: Strong written and verbal communication—you can explain technical decisions to non-technical stakeholders and document your work clearly
- Adaptability: Comfort working in a fast-moving environment where the roadmap evolves and ownership is broad
- If you love writing SQL and Python, building operational AI agents, and seeing your technical assets directly drive external partner growth and internal revenue velocity, this role is for you
What the job involves
- We are looking for a highly analytical and technically fluent Data Analytics Manager to scale our partner ecosystem
- In this role, you won't just track partner performance—you will build the technical infrastructure that powers our entire partnership strategy
- You will bridge the gap between what our partnership and commercial teams need and what our technology can do, translating complex ecosystem processes into automated, scalable, and AI-assisted workflows
- System Integration & Automation: Translate GTM and partnership processes into working technical systems. Collaborate with Revenue Operations, Sales, and Marketing Ops to scope, prioritize, and deliver automation that reduces manual work and improves data quality
- Insight Pipelines & Analytics: Design proactive insight pipelines by translating recurring business and partner needs into clear analytical logic, metric definitions, signal criteria, and output requirements
- Workflow Embedding: Partner with analytics, product and revenue teams to embed analytics into workflows, dashboards that help tell the greater story
- Data-Driven Outputs: Develop outputs that help internal and partner-facing teams prioritize effort, identify risk and t opportunity, and act with greater precision
- AI Tooling: Apply AI- and LLM-assisted tools to improve analytical speed and quality across exploration, documentation, anomaly detection, query development, and workflow design
- Strategic Problem Solving: Translate ambiguous commercial and partnership problems into clear analytical plans, stakeholder-aligned requirements, and measurable deliverables
- The Mission: Eliminate manual friction for our channel and strategic partnership teams
- You will turn data into a competitive advantage by embedding proactive partner insights and AI-powered automation directly into our daily operations
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 technology, 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. It also launched the industry's first agentic suite for local media, that supports users to build smarter campaigns faster, and hence accelerate their revenue.
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
- 401(K) Matching
- Company Equity
- Retirement Plans
- Performance Bonuses
- 100% Company-Covered Health Insurance
- Dental Benefits
- Vision Benefits
- Generous Maternity and Paternity Leave
- Paid Holidays
- Unlimited Vacation
- Free Lunch In-Office
- Commuter Benefits
Company HQ
Tribeca, New York, NY
Leadership
Jim Wilson
(CEO)Prior to joining Madhive in 2024, Jim was the CEO of North America for Talon.
Salary benchmarks
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