Operations and Insights Lead (Sr. Manager)
Explicitly requires vibe coding skills and uses LLMs/AI tools for rapid prototyping, automations, and accelerating analysis.
About the Role
Lead a small analytics and operations team to build partner analytics, insights, and scalable operating systems that inform partnership strategy and ensure consistent execution. Focus on translating data and structured analysis into prioritization, deal optimization, and measurable outcomes across Product and Partnerships, with emphasis on AI and agentic ecosystems.
Job Description
Role
Lead the Partnerships Operations & Insights function to build analytics, insights, and operating systems that drive partnership strategy and consistent execution. Manage a small team (2 analysts) and work cross-functionally with Product and Partnerships in fast-moving areas such as the AI and agentic ecosystem.
Key Responsibilities
- Build and lead a partner analytics function (2 direct reports).
- Develop dashboards and evaluation frameworks to assess partner performance, deal effectiveness, and ecosystem/competitive dynamics.
- Generate insights that inform where to focus and invest, which partners to prioritize, and how to structure and optimize deals.
- Establish a lightweight partner and ecosystem intelligence capability.
- Design and implement scalable processes for partner planning, prioritization, pipeline and deal tracking, and decision governance.
- Define clear metrics, reporting, and review cadences to ensure strategy translates into consistent execution and measurable outcomes.
- Translate strategic questions into analytical frameworks and clarify tradeoffs, priorities, and investment decisions.
- Support incubation (0→1) by identifying emerging partnership opportunities, structuring ambiguous problems into testable pilots, and using early experiments to inform scaling decisions.
Requirements
Experience
- 8–12+ years in strategy, BizOps, analytics, or similar roles (consulting or tech preferred).
- Experience operating in highly cross-functional, ambiguous environments.
- Strong track record of translating complex problems into structured insights and action.
Analytics & Technical Skills (Critical)
- Strong analytical foundation with experience building dashboards, performance frameworks, and decision-support tools.
- Comfortable working directly with data (not just delegating).
- AI proficiency required: experience using AI tools (LLMs) to accelerate analysis, insights, and workflows.
- Familiarity with “vibe coding” / rapid prototyping using AI tools (e.g., building lightweight tools, automations, or dashboards without full engineering support).
Leadership & Operating Skills
- Experience leading small teams and partnering across Product, Partnerships, and cross-functional stakeholders.
- Strong operating discipline to create repeatable processes and review cadences.
Compensation
- U.S. pay range: $116,800 - $232,800 annually.
- California pay range: $160,800 - $232,800 annually.
- New York pay range: $160,800 - $232,800 annually.
- Washington pay range: $138,200 - $200,150 annually.
(Company notes pay varies by work location and other factors.)