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.
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.
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.
This is a hybrid role based in either our New York City or Redwood City office. The successful candidate will be expected to work onsite at least three days per week.What You'll Do:- 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.
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.
The approximate compensation range for this position is $105,000-$135,000. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, as well as internal equity among our team.
