Supports programmatic supply partnerships across SSPs, publishers, and DOOH media owners. Responsibilities include monitoring deal and partner performance, troubleshooting issues, auditing PMPs, coordinating custom deal setup, preparing business reviews, maintaining dashboards, checking inventory quality, managing platform access, and supporting SSP testing. Requires strong Excel and data analysis skills, knowledge of programmatic concepts, partner communication, and strong organizational abilities.
Reporting to the Sr. Manager of Supply Partnerships & Operations, you'll support the Supply Partnerships team in managing and growing relationships across SSPs, mobile web publishers, and DOOH media owners. This role focuses on performance monitoring, platform testing, and troubleshooting, making you the team's first line of insight into how our supply is performing.
Key Responsibilities
- Own day-to-day performance tracking across SSPs and PMP deals, flagging underperformance early and leading initial root-cause analysis
- Support PMP audits by identifying stale or underperforming deals and pulling the data needed for renegotiation
- Coordinate custom PMP setup with media owner partners, translating campaign needs and targets into deal specifications
- Coordinate regular partner business reviews: pull stats, prepare decks as needed, and track follow-ups to completion
- Serve as the first point of contact for partner questions and issues, escalating to senior team members as needed
- Support site list reviews, inventory quality checks, and platform access management
- Maintain internal dashboards tracking partner and deal performance, and ensure data accuracy
- Partner with PAS, Managed Service, DIG, Tech, and other Big Happy teams to resolve issues and align on priorities
- Support and document structured tests of SSP platforms against benchmark partners
Skills, Knowledge and Expertise
- 1-3 years in ad tech or programmatic (SSP, DSP, publisher, or agency side)
- Working knowledge of PMPs, deal IDs, and supply path concepts
- Strong Excel and data analysis skills, with a keen eye for data accuracy
- Clear, professional communication with external partners
- Highly organized, able to manage multiple partners and follow-ups at once
Nice to have:
- Exposure to SQL or BI tools (Looker, Quicksight, etc.)
- Experience with DOOH and/or mobile web supply
Benefits
- Full-time position with a competitive base salary
- Access to benefits, including Healthcare, Dental, and Vision
- Unlimited PTO - take what you need
- HSA/FSA match program
- Participation in Big Happy’s stock program
- Paid Parental Leave
- Half Day Fridays (except Q4)
- Team Happy camaraderie—celebrating wins, learning from challenges, and fostering continuous career growth
- A workplace culture where you can be yourself, contribute meaningfully, and be valued for your impact
Compensation: $75,000-$92,000 total compensation, inclusive of base pay and bonuses. Compensation range will be determined by each candidate's location and expertise.
Location: This opportunity is Remote in the United States, except for candidates within commuting distance of our NYC or Chicago offices, where this opportunity is hybrid with 3 days in office.
Location: This opportunity is Remote in the United States, except for candidates within commuting distance of our NYC or Chicago offices, where this opportunity is hybrid with 3 days in office.
About
We specialize in delivering innovative solutions and exceptional services to meet the diverse needs of our clients. With a strong commitment to quality and customer satisfaction, we strive to exceed expectations and drive success in every project we undertake.
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Manages Customer Success Engineering for GitLab, an intelligent DevSecOps orchestration platform. The provided description contains no specific responsibilities or qualifications, but indicates a remote role supporting GitLab’s customer success and technical product environment. GitLab emphasizes AI-enabled workflows, collaboration, professional development, and employee benefits.
Top Skills:
AIDevsecopsGitlab
Big Data • Fintech • Mobile • Payments • Financial Services
Own go-to-market operations for a product line or segment, translating product, pricing, legal, and stakeholder inputs into executable field processes. Responsibilities include customer segmentation, eligibility analysis, contract dashboard management, playbook and tool development, launch adoption tracking, performance analysis, and risk identification. The role partners closely with Product, Legal, Pricing, Rev Ops, Sales, Client Success, and Analytics to drive strategic initiatives from rollout through adoption.
Top Skills:
Ai ToolsSQL
Big Data • Fintech • Mobile • Payments • Financial Services
Develop and launch scalable full-stack search systems using JavaScript, TypeScript, Python, or Kotlin. Collaborate with engineers and stakeholders, balance delivery speed with system reliability, debug code, participate in code reviews, write tested and extensible software, and contribute to team growth and communication.
Top Skills:
JavaScriptKotlinPythonTypescript
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
