Sr. Sales Strategy & Operations Manager

Pinterest•New York, NY

4h•$110,494 - $227,486•Hybrid

About The Position

The Sales Strategy & Operations (SS&O) team guides and deploys critical business decisions across the advertising sales organization through strategy, analytics and operations. Team members are experts in business strategy and operations, as well as analytical and strategic thinking. They are pragmatic and results-oriented. As a Senior Sales Strategy & Operations Manager for North America Enterprise you’ll partner closely with our North America Enterprise SS&O team and sales leaders to develop and bring to life data-driven strategies to accelerate growth in the business.

Requirements

6+ years of professional experience in strategy & operations in a fast-paced, highly analytical environment, for instance: management consulting, investment banking, tech/media or or revenue/sales strategy & operations).
Exceptional analytical and quantitative skills — you are comfortable working with large, complex datasets, building models and forecasts, and stress‑testing assumptions to arrive at sound, data‑driven recommendations.
High data fluency and tool comfort — advanced proficiency in Excel/Sheets and data visualization tools (e.g., Tableau, Looker) is expected; familiarity with SQL and querying large datasets is a strong plus.
Proven experience building metrics frameworks, dashboards, and reporting that help senior leaders quickly understand business performance and make decisions, including owning definitions, documentation, and change management.
Demonstrated ability to partner closely with senior sales leaders (Director/VP+) to define strategy, build annual and quarterly plans, forecast revenue, and drive accountability against goals.
Strong structured problem‑solving skills and comfort driving decisions in ambiguous, evolving situations where goals, data, or processes are not yet fully defined.
Excellent communication and storytelling skills — able to synthesize complex analyses into clear narratives, build compelling materials, and influence cross‑functional partners and senior stakeholders who may not be in your direct line of control.
Organized, detail‑oriented and strategically focused, with a track record of driving measurable impact in complex, matrixed, and fast‑moving environments.
AI native / AI first instincts – candidates are expected to use internal AI, agentic tooling as a default first step for problem-solving, research, and answering sales/operational questions before escalating to humans
Can explain examples of using AI to structure ambiguous problems, generate hypotheses, or explore “what‑if” scenarios (e.g., coverage models, segmentation, capacity planning).
Has used AI tools (Claude/Gemini/Codex, SQL or analytics copilots) to query data, build models, or QA numbers in an SSO environment (revenue forecasts, CRM activity logs, sales pipelines)
Has built agentic or automated workflows using AI tooling or low/no-code workflow automation tools (Zapier, Move, Airtable). Can explain what good looks like for AI prompting and Agentic Workflow setups
Bachelor’s degree in a relevant field such as business, economics, statistics, engineering, or a related field, or equivalent practical experience.

Responsibilities

Work directly with key sales leaders on critical strategic, organizational and operational projects designed to increase revenue, sales productivity and operational efficiency.
Structure and execute on projects by developing work plans, gathering and synthesizing relevant data, leading analyses and developing final recommendations.
Analyze and determine key insights from key business drivers, trends and operating metrics. Translate data into insights and action, and communicate recommendations to sales leadership and the broader organization.
Take advantage of large amounts of structured data to understand how our customers interact with our product and service offerings.
Work with and influence cross-functional teams including Finance, Marketing, Measurement, and Product.
Proactively identify and redefine processes and systems that improve and scale our business.
Support company-level strategy-setting and planning efforts.
Apply AI for data analysis and insight generation: leverage AI tooling to simplify and speed up data analysis and insight generation. Ensure strong understanding of AI outputs and connection back to data sources of truth and validating AI outputs.
Standardize and automate workflows using AI tooling: documenting and improving recurring sales processes, building templates, checklists, and lightweight “mini‑agents” or scripts that remove manual work from planning, reporting, and sales operations.