Sr Manager II, Small Business and Growth Strategic Insights
LinkedIn, Sunnyvale, California, United States, 94087
Overview
LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. We’re committed to providing transformational opportunities for our own employees by investing in their growth, and we aspire to create a culture built on trust, care, inclusion, and fun where everyone can succeed. This role is focused on measuring and growing monetization across Premium and Small Business portfolios and sits at the center of Marketing, Finance, Data Science, Product Marketing, and Demand Gen Ops.
This role is based in a hybrid setting (home and LinkedIn office on select days, as determined by business needs). The work location can be New York City, San Francisco, Sunnyvale, Mountain View, or Chicago.
Responsibilities
Set the long-term strategy for how we measure, optimize, and grow across Premium and Small Business.
Lead adoption and change management from last-click attribution to modeled attribution and MMM, partnering with Finance, Data Science, and Demand Gen Ops.
Share the roadmap for future measurement evolutions (e.g., MMM inputs, cross-LOB methodology alignment).
Own a proactive insights agenda by identifying high-value business questions, shaping the quarterly deep-dive roadmap, and partnering with technical analysts to execute analyses.
Translate analytical outputs into executive-ready narratives and strategic recommendations that inform targeting, product positioning, investment decisions, and marketing strategy across monetized portfolios.
Partner cross-functionally to develop a cohesive Small Business measurement strategy and identify new opportunities for growth.
Assist in developing long-term measurement vision for how user engagement drives revenue, building the framework that quantifies the connection between top-of-funnel behaviors and monetization outcomes.
Qualifications Basic Qualifications
Bachelor's degree in Business or a related field, or equivalent experience
10+ years of experience in marketing analytics, measurement, or growth strategy
5+ years leading cross-functional strategic initiatives, change management efforts, or measurement / insights programs involving Marketing, Finance, or Marketing Ops
Preferred Qualifications
Experience in large technology companies, digital platforms, subscription businesses, or consulting firms focused on marketing effectiveness or growth strategy
Deep familiarity with modern marketing measurement frameworks including Marketing Attribution, Media Mix Modeling, incrementality / lift studies, LTV and ROI frameworks
Proven ability to translate complex analytics work into executive-level narratives and clear business recommendations
Experience partnering closely with Finance, Product Marketing, Biz Ops, Marketing Ops, Data Science to influence investment decisions or strategic planning
Strong understanding of subscription funnels, monetization levers, segmentation, and/or SMB targeting strategies
Ability to shape a proactive insights roadmap, identifying high-value business questions and guiding deep-dive analyses
Demonstrated success driving adoption of new measurement methodologies, frameworks, or cross-organizational processes
Strong communication, stakeholder management, and business storytelling skills
Suggested Skills
Strategic Thinking
Change Management
Cross-functional Collaboration
Strategic Communication
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $162,000 to $265,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may differ in other locations due to cost of labor. The total compensation package may include annual performance bonus, stock, benefits, and/or other incentive plans. For more information, visit https://careers.linkedin.com/benefits.
Additional Information Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, contact accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples include documents in alternate formats, interviews in an accessible location, service dog assistance, or a sign language interpreter.
A request for an accommodation will be responded to within three business days. LinkedIn will not discriminate against employees or applicants who discuss their pay. However, employees with access to compensation information as part of their essential job functions must not disclose it to those without access, except as permitted by LinkedIn policy or legal requirements.
San Francisco Fair Chance Ordinance – LinkedIn will consider qualified applicants with arrest and conviction records. Pay Transparency Policy and other notices apply as described in LinkedIn’s policy statements. Global Data Privacy Notice for Job Candidates can be found at the LinkedIn candidate portal.
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This role is based in a hybrid setting (home and LinkedIn office on select days, as determined by business needs). The work location can be New York City, San Francisco, Sunnyvale, Mountain View, or Chicago.
Responsibilities
Set the long-term strategy for how we measure, optimize, and grow across Premium and Small Business.
Lead adoption and change management from last-click attribution to modeled attribution and MMM, partnering with Finance, Data Science, and Demand Gen Ops.
Share the roadmap for future measurement evolutions (e.g., MMM inputs, cross-LOB methodology alignment).
Own a proactive insights agenda by identifying high-value business questions, shaping the quarterly deep-dive roadmap, and partnering with technical analysts to execute analyses.
Translate analytical outputs into executive-ready narratives and strategic recommendations that inform targeting, product positioning, investment decisions, and marketing strategy across monetized portfolios.
Partner cross-functionally to develop a cohesive Small Business measurement strategy and identify new opportunities for growth.
Assist in developing long-term measurement vision for how user engagement drives revenue, building the framework that quantifies the connection between top-of-funnel behaviors and monetization outcomes.
Qualifications Basic Qualifications
Bachelor's degree in Business or a related field, or equivalent experience
10+ years of experience in marketing analytics, measurement, or growth strategy
5+ years leading cross-functional strategic initiatives, change management efforts, or measurement / insights programs involving Marketing, Finance, or Marketing Ops
Preferred Qualifications
Experience in large technology companies, digital platforms, subscription businesses, or consulting firms focused on marketing effectiveness or growth strategy
Deep familiarity with modern marketing measurement frameworks including Marketing Attribution, Media Mix Modeling, incrementality / lift studies, LTV and ROI frameworks
Proven ability to translate complex analytics work into executive-level narratives and clear business recommendations
Experience partnering closely with Finance, Product Marketing, Biz Ops, Marketing Ops, Data Science to influence investment decisions or strategic planning
Strong understanding of subscription funnels, monetization levers, segmentation, and/or SMB targeting strategies
Ability to shape a proactive insights roadmap, identifying high-value business questions and guiding deep-dive analyses
Demonstrated success driving adoption of new measurement methodologies, frameworks, or cross-organizational processes
Strong communication, stakeholder management, and business storytelling skills
Suggested Skills
Strategic Thinking
Change Management
Cross-functional Collaboration
Strategic Communication
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $162,000 to $265,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may differ in other locations due to cost of labor. The total compensation package may include annual performance bonus, stock, benefits, and/or other incentive plans. For more information, visit https://careers.linkedin.com/benefits.
Additional Information Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, contact accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples include documents in alternate formats, interviews in an accessible location, service dog assistance, or a sign language interpreter.
A request for an accommodation will be responded to within three business days. LinkedIn will not discriminate against employees or applicants who discuss their pay. However, employees with access to compensation information as part of their essential job functions must not disclose it to those without access, except as permitted by LinkedIn policy or legal requirements.
San Francisco Fair Chance Ordinance – LinkedIn will consider qualified applicants with arrest and conviction records. Pay Transparency Policy and other notices apply as described in LinkedIn’s policy statements. Global Data Privacy Notice for Job Candidates can be found at the LinkedIn candidate portal.
#J-18808-Ljbffr