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Marketing jobs

10 marketing jobs

4 days ago

Marketing jobs in the US

10 jobs

Senior Manager, Paid Media AI and Systems

Sunnyvale, CA (Hybrid)

$130K/yr - $203K/yrIn-houseFull-timeSenior level7+ years exp.

4 days ago

Field Marketing Manager, West

USA (Remote)

$104K/yr - $148K/yrIn-houseFull-timeSenior level5+ years exp.

7 days ago

Sr. Communications Manager 2, Employee Communications - GTO

San Francisco, CA (Hybrid)

$148K/yr - $233K/yrIn-houseFull-timeSenior level9+ years exp.

10 days ago

Senior Manager - Marketing Measurement Strategy and Testing

Omaha, NE (Remote)

$141K/yr - $231K/yrIn-houseFull-timeSenior level8+ years exp.

2 weeks ago

Product Marketing Manager - Job Seeker Audience

San Francisco, CA (Hybrid)

$125K/yr - $157K/yrIn-houseFull-timeMid level3+ years exp.

2 weeks ago

Sr. Marketing Technology Manager - Demand Systems

Sunnyvale, CA (Hybrid)

$141K/yr - $231K/yrIn-houseFull-timeSenior level

2 weeks ago

Marketing Paid Consultant - Creator Content Compliance & Approval

USA (Remote)

In-houseContractSenior level6+ years exp.

3 weeks ago

Senior Agency Development Lead – LinkedIn Marketing Solutions

New York City, NY (Hybrid)

$308K/yr - $470K/yrIn-houseFull-timeSenior level10+ years exp.

3 weeks ago

Marketing Paid Consultant - Creator Sourcing & Partnerships

USA (Remote)

In-houseContractMid level6+ years exp.

3 weeks ago

Marketing Science Senior Strategist

New York City, NY (Hybrid)

$126K/yr - $204K/yrIn-houseFull-timeSenior level8+ years exp.

5 weeks ago

Senior Manager, Paid Media AI and Systems

Sunnyvale, CA (Hybrid)

$130K/yr – $203K/yrSenior Level7+ years expFull time

Posted 4 days ago

Job Summary

Own and drive the AI transformation roadmap for the Global Paid Media team, leading use-case development, workflow design, and cross-functional collaboration with MarTech and agencies to ship AI-enabled capabilities that accelerate the learning agenda.

Define success metrics and track adoption
Partner with MarTech, brands, and agencies to ensure smooth handoffs

Job Description

Responsibilities

Own the AI transformation roadmap for the Global Paid Media team, partnering with MarTech, our media agencies, and other internal and external partners to define, prioritize, and ship the capabilities that change how the team works.
Apply AI, automation, and decision-support capabilities across audience strategy, investment planning, creative development, campaign activation, in-flight optimization, experimentation, measurement, and insight generation.
Drive performance marketing automation capabilities that increase learning agenda velocity across the business.
Lead the product vision, use-case development, workflow design, and business requirements for internal paid media tooling, partnering with MarTech and other technical teams on architecture, integrations, security, production deployment, and ongoing support.
Streamline workflows across the team's quarterly cadence (RFP to brief, brief to media plan, plan to launch, launch to reporting, reporting to insights), identifying and removing manual handoffs, redundant approvals, and inconsistent rituals.
Build and curate a reusable library of AI-assisted workflows, skills, tools, prompts, and supporting context that helps paid media practitioners complete common tasks more effectively. Establish appropriate standards for quality, access, governance, and human review in partnership with MarTech and other technical stakeholders.
Act as the central connector of transformational activity, convening the right cross-functional partners (MarTech, Brand, creative agencies, media agencies) at the right moments and ensuring nothing stalls in handoff.
Define and lead the change-management plan for every new tool and process, including documentation, training, office hours, and adoption measurement. Tools that don't get used are tools that didn't ship correctly.
Stay continuously curious about new technologies, platforms, MCP servers, agentic tools, and emerging AI harnesses. Evaluate, pilot, and onboard the ones that earn their place in the team's stack.
Define the success metrics for the team's operating model (cycle times, adoption rates, manual touch points eliminated, AI skill invocation rates, quality scores) and report against them on a quarterly basis.

Requirements

BA/BS degree in marketing, business, media, operations, or related field, or equivalent experience.
7+ years of experience in paid media, performance marketing, marketing operations, MarTech, or a closely related discipline.

Preferred

Deep understanding of paid media workflows, including campaign briefs, media plans, audience strategy, creative development, trafficking, QA, optimization, experimentation, measurement, reporting, and campaign learning.
Strong performance marketing background with clear understanding of platforms such as Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Reddit, etc and the strategies used to drive impact.
Demonstrated fluency with modern AI tools, including agentic harnesses (Claude Code, ChatGPT Agents, Microsoft 365 Copilot), and a working understanding of how skills, tools, and MCP-style integrations are composed, scaled, and leveraged across workflows and teams.
A strong working knowledge of the paid media stack (DSPs like DV360, Yahoo, or Trade Desk, search platforms like SA360, MMPs, Insights platforms, Media mix modeling platforms, etc) and a clear understanding of where each fits in the planning, activation, and measurement cycle.
Experience driving documentation standardization, template adoption, and workflow consistency across multiple business units or marketing teams.
Experience working with global agency partners and managing shared tooling, documentation, and automation across an in-house team and an external AOR.
Strong written communication. Able to articulate a complex technical workflow in language a marketer, an engineer, and an exec each understand.
Cross-Functional Partnership (MarTech, Engineering, Agency)
Templatization and Documentation Standardization

Benefits

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.

Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe..

Founded in 2016

Sunnyvale, CA, US

24K employees (3,633 in marketing)

careers.linkedin.com

Salaries

Posted range

$130K/yr – $203K/yr

Taken straight from the job posting.

See all LinkedIn salaries

Marketing Team

Marketing Team Size

2,950 (12% of company)

Median Career Experience

17 years

Median Tenure

7 years

Marketing Roles Posted (Last 30 Days)

People

HR / Recruitment

Ashley Crutison

Recruiter, Marketing and Strategy

At the company for 1 year 8 months

Raul Murguia

Senior Director - Global Head of Large Hire Integrated Marketing, Linkedin Talent Solutions

At the company for 3 years 9 months

Marketing Leadership

Dominic Archibald

VP Growth Marketing, LinkedIn Marketing Solutions

At the company for 14 years 9 months

Ryan McDougall

VP, Head of Consumer Marketing

At the company for 12 years 6 months

Bill Burnett

VP, Product Marketing - LinkedIn Talent Solutions

At the company for 10 years 4 months

Jessica Stolbach

VP, Integrated Marketing - LinkedIn Talent Solutions

At the company for 6 years 9 months

Funding

Total Funding

$154.8M

Last Raise

$51.6M

Private Equity, 10 years ago

Funding History

Feb 2016
Private Equity
Apr 2014
Series Unknown
Dec 2009
Secondary Market • $51.6M

Traffic Signals

Monthly Visitors

1.8B

Monthly Google Ads Budget

$3.2M

Traffic Source Mix

29.7%

Direct

66.9%

Referral

2.8%

Social

0.2%

Paid

0.2%

Headcount Trend

Current headcount: ~23.9K

News about LinkedIn

LinkedIn sues software company allegedly scraping data from millions of profiles

Oct 3, 2025 • The Record from Recorded Future News

Progressive nonprofits condemn Trump’s targeting of George Soros and his foundations

Sep 29, 2025 • AP News

From coders to creatives: Jon Gray breaks down potential winners and losers of the AI era

Sep 27, 2025 • Business Insider

Links

careers.linkedin.com

X (Twitter)

Crunchbase

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Responsibilities

Own the AI transformation roadmap for the Global Paid Media team, partnering with MarTech, our media agencies, and other internal and external partners to define, prioritize, and ship the capabilities that change how the team works.
Apply AI, automation, and decision-support capabilities across audience strategy, investment planning, creative development, campaign activation, in-flight optimization, experimentation, measurement, and insight generation.
Drive performance marketing automation capabilities that increase learning agenda velocity across the business.
Lead the product vision, use-case development, workflow design, and business requirements for internal paid media tooling, partnering with MarTech and other technical teams on architecture, integrations, security, production deployment, and ongoing support.
Streamline workflows across the team's quarterly cadence (RFP to brief, brief to media plan, plan to launch, launch to reporting, reporting to insights), identifying and removing manual handoffs, redundant approvals, and inconsistent rituals.
Build and curate a reusable library of AI-assisted workflows, skills, tools, prompts, and supporting context that helps paid media practitioners complete common tasks more effectively. Establish appropriate standards for quality, access, governance, and human review in partnership with MarTech and other technical stakeholders.
Act as the central connector of transformational activity, convening the right cross-functional partners (MarTech, Brand, creative agencies, media agencies) at the right moments and ensuring nothing stalls in handoff.
Define and lead the change-management plan for every new tool and process, including documentation, training, office hours, and adoption measurement. Tools that don't get used are tools that didn't ship correctly.
Stay continuously curious about new technologies, platforms, MCP servers, agentic tools, and emerging AI harnesses. Evaluate, pilot, and onboard the ones that earn their place in the team's stack.
Define the success metrics for the team's operating model (cycle times, adoption rates, manual touch points eliminated, AI skill invocation rates, quality scores) and report against them on a quarterly basis.

Requirements

BA/BS degree in marketing, business, media, operations, or related field, or equivalent experience.
7+ years of experience in paid media, performance marketing, marketing operations, MarTech, or a closely related discipline.

Preferred

Deep understanding of paid media workflows, including campaign briefs, media plans, audience strategy, creative development, trafficking, QA, optimization, experimentation, measurement, reporting, and campaign learning.
Strong performance marketing background with clear understanding of platforms such as Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Reddit, etc and the strategies used to drive impact.
Demonstrated fluency with modern AI tools, including agentic harnesses (Claude Code, ChatGPT Agents, Microsoft 365 Copilot), and a working understanding of how skills, tools, and MCP-style integrations are composed, scaled, and leveraged across workflows and teams.
A strong working knowledge of the paid media stack (DSPs like DV360, Yahoo, or Trade Desk, search platforms like SA360, MMPs, Insights platforms, Media mix modeling platforms, etc) and a clear understanding of where each fits in the planning, activation, and measurement cycle.
Experience driving documentation standardization, template adoption, and workflow consistency across multiple business units or marketing teams.
Experience working with global agency partners and managing shared tooling, documentation, and automation across an in-house team and an external AOR.
Strong written communication. Able to articulate a complex technical workflow in language a marketer, an engineer, and an exec each understand.
Cross-Functional Partnership (MarTech, Engineering, Agency)
Templatization and Documentation Standardization

Benefits

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.