[data-jobs-server-fallback] { display: block !important; } [data-jobs-client-shell] { display: none !important; }

Marketing jobs

7,305 marketing jobs

7 days ago

Sr. Manager Data Science - Gen AI and Content Systems

RELX

Raleigh, NC (On-site)Full time$118K/yr – $220K/yr

7 days ago

Strategy and Go-to-Market Leader, Public Records

RELX

Miamisburg, OH (On-site)Full time$136K/yr – $253K/yr

7 days ago

Senior Technical Product Marketing Manager II

DigitalOcean

Seattle, WA (Remote)Full time$150K/yr – $174K/yr

7 days ago

Staff Technical Product Marketing Manager

DigitalOcean

Seattle, WA (Remote)Full time$180K/yr – $209K/yr

7 days ago

Principal Product Manager, Ads Retail Lead

Microsoft

Mountain View, CA (On-site)Full time$143K/yr – $304K/yr

7 days ago

Senior Account Based Marketing Manager

Culture Amp

Chicago, IL (Hybrid)Full time$122K/yr – $139K/yr

7 days ago

Marketing Operations Intern (Part time)

Neighbor

Lehi, UT (On-site)Internship

7 days ago

Senior Account Based Marketing Manager

Culture Amp

Chicago, IL (Unknown)$122K/yr – $139K/yr

7 days ago

Communications Manager, YouTube Ads

Youtube

San Francisco, CA (Unknown)Full time$141K/yr – $205K/yr

7 days ago

Staff Brand Designer

Webflow

San Francisco, CA (Remote)Permanent$143K/yr – $213K/yr

7 days ago

Demand Generation Manager, Advertising

TouchTunes

Schaumburg, IL (Hybrid)Full time$105K/yr – $120K/yr

7 days ago

Data Analyst, GTM Analytics

Maven

USA (Remote)Full time$99K/yr – $229K/yr

7 days ago

Social Media Coordinator (Part-Time)

Volo Sports

Boston, MA (Hybrid)Part time$18/hr – $20/hr

7 days ago

Integrated Marketing Manager - Hybrid/Remote

Sharecare

New York City, NY (Hybrid)Full time$80K/yr – $115K/yr

7 days ago

Technical Marketing Engineer

Cisco

Boston, MA (On-site)Full time$124K/yr – $175K/yr

7 days ago

Manager, Content Marketing - Telecommute

Virio

San Francisco, CA (On-site)Full time$150K/yr – $250K/yr

7 days ago

Principal Product Marketing Manager, Firefly

Adobe

San Francisco, CA (On-site)Full time$145K/yr – $261K/yr

7 days ago

Brand Strategist

Trimble Inc.

Westminster, CO (On-site)Full time$106K/yr – $145K/yr

7 days ago

Principal Technical Marketing Engineer (Prisma AIRS)

Palo Alto Networks

Atlanta, GA (Hybrid)Full time$134K/yr – $216K/yr

7 days ago

Partner Marketing Manager

Coder

USA (Remote)Full time$106K/yr – $163K/yr

All marketing roles in the US with a SaaS business model

Get alerts for this search

All marketing roles in the US with a SaaS business model

Get alerts for this search

7,305 jobs

Sr. Manager Data Science - Gen AI and Content Systems

RELX

Raleigh, NC (On-site)

$118K/yr - $220K/yrIn-houseFull-timeSenior level8+ years exp.

7 days ago

Strategy and Go-to-Market Leader, Public Records

RELX

Miamisburg, OH (On-site)

$136K/yr - $253K/yrIn-houseFull-timeSenior level

7 days ago

Senior Technical Product Marketing Manager II

DigitalOcean

Seattle, WA (Remote)

$150K/yr - $174K/yrIn-houseFull-timeSenior level5+ years exp.

7 days ago

Staff Technical Product Marketing Manager

DigitalOcean

Seattle, WA (Remote)

$180K/yr - $209K/yrIn-houseFull-timeSenior level10+ years exp.

7 days ago

Principal Product Manager, Ads Retail Lead

Microsoft

Mountain View, CA (On-site)

$143K/yr - $304K/yrIn-houseFull-timeSenior level8+ years exp.

7 days ago

Senior Account Based Marketing Manager

Culture Amp

Chicago, IL (Hybrid)

$122K/yr - $139K/yrIn-houseFull-timeSenior level6+ years exp.

7 days ago

Marketing Operations Intern (Part time)

Neighbor

Lehi, UT (On-site)

In-houseInternshipIntern/new grad

7 days ago

Senior Account Based Marketing Manager

Culture Amp

Chicago, IL (Unknown)

$122K/yr - $139K/yrIn-houseSenior level6+ years exp.

7 days ago

Communications Manager, YouTube Ads

Youtube

San Francisco, CA (Unknown)

$141K/yr - $205K/yrIn-houseFull-timeSenior level7+ years exp.

7 days ago

Staff Brand Designer

Webflow

San Francisco, CA (Remote)

$143K/yr - $213K/yrIn-housePermanentSenior level8+ years exp.

7 days ago

Demand Generation Manager, Advertising

TouchTunes

Schaumburg, IL (Hybrid)

$105K/yr - $120K/yrIn-houseFull-timeManager4+ years exp.

7 days ago

Data Analyst, GTM Analytics

Maven

USA (Remote)

$99K/yr - $229K/yrIn-houseFull-timeSenior level5+ years exp.

7 days ago

Social Media Coordinator (Part-Time)

Volo Sports

Boston, MA (Hybrid)

$18/hr - $20/hrIn-housePart-timeEntry level

7 days ago

Integrated Marketing Manager - Hybrid/Remote

Sharecare

New York City, NY (Hybrid)

$80K/yr - $115K/yrIn-houseFull-timeMid level5+ years exp.

7 days ago

Technical Marketing Engineer

Cisco

Boston, MA (On-site)

$124K/yr - $175K/yrIn-houseFull-timeSenior level

7 days ago

Manager, Content Marketing - Telecommute

Virio

San Francisco, CA (On-site)

$150K/yr - $250K/yrIn-houseFull-timeManager

7 days ago

Principal Product Marketing Manager, Firefly

Adobe

San Francisco, CA (On-site)

$145K/yr - $261K/yrIn-houseFull-timeSenior level8+ years exp.

7 days ago

Brand Strategist

Trimble Inc.

Westminster, CO (On-site)

$106K/yr - $145K/yrIn-houseFull-timeMid level7+ years exp.

7 days ago

Principal Technical Marketing Engineer (Prisma AIRS)

Palo Alto Networks

Atlanta, GA (Hybrid)

$134K/yr - $216K/yrIn-houseFull-timeSenior level5+ years exp.

7 days ago

Partner Marketing Manager

Coder

USA (Remote)

$106K/yr - $163K/yrIn-houseFull-timeSenior level8+ years exp.

7 days ago

RELX

Sr. Manager Data Science - Gen AI and Content Systems

Raleigh, NC (On-site)

$118K/yr – $220K/yrSenior Level8+ years expFull time

Posted 7 days ago

Top 1% of applicants do these two things.

The other 99% submit and hope. You're about to do something different.

Job Summary

Own and drive the end-to-end AI program, setting the vision and priorities, leading a multidisciplinary data science and ML team, and delivering production-grade AI systems with rigorous evaluation and governance.

Define and execute the AI roadmap across the content lifecycle
Lead hands-on prototyping and production contributions
Collaborate across cross-functional teams to maximize reuse and responsible AI practices

Job Description

Responsibilities

Set the vision and strategic priorities, acting as a recognized expert for Data Science
Lead and develop a team of data scientists and ML engineers, setting the cultural tone for the group
Drive applied research with a clear path to production, explicitly balancing innovation against real-world constraints including latency, cost, and reliability
Build and scale evaluation science capabilities within the team, including offline evaluation frameworks, automated benchmarking pipelines, and human-in-the-loop feedback systems to rigorously measure model quality and business impact
Champion hands-on rapid prototyping and iteration
Collaborate with other Data Science teams to maximize re-use of components and patterns, eliminating waste, duplication and unnecessary customization
Operate with broad scope, coordinating across multiple cross-functional teams, systems, and domains
Collaborate closely with other Data Science teams, to define and execute the AI roadmap across the content lifecycle, maximizing reuse in areas including: Content collection (e.g. “web scraping”) and transformation; Metadata extraction, enrichment, and classification; Agentic workflows turning real-world events and legal content into legal intelligence; AI-powered downstream product capabilities
Design and deploy scalable, production-grade AI systems, including: LLM-powered document understanding and generation; Agentic workflows balancing agent autonomy and efficiency with required structure and accuracy; Retrieval-augmented generation (RAG) pipelines; Hybrid ML + rules-based systems for structured content
Lead through execution and by example: Actively writing code, not just delegating; Building and demoing working prototypes (e.g. by “vibe coding”); Directly contributing to experiments and production models

Requirements

Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, or a related field strongly preferred, or equivalent practical experience
Bachelor’s degree in a relevant field with significant applied experience in data science, machine learning, or AI
8+ years of relevant experience in data science, machine learning, or applied AI
4+ years of leadership experience (direct or indirect team management)
Proficient with Python, ML and LLM tooling such as Google ADK, LangChain, ML Frameworks (e.g. TensorFlow, PyTorch) and prompt tuning techniques
Familiarity with vector databases, knowledge graphs, and hybrid retrieval architecture
Strong experience working with structured and unstructured data at scale
Ability to design and implement data pipelines and preparation workflows
Experience integrating ML into complex, multi-stage processing systems
Working knowledge of containerization, CI/CD, RESTful API Design and model serving tools

Preferred

Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience
8+ years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems
Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable
Familiarity with ethical/legal considerations in deploying generative AI in professional settings

Benefits

Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits
Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

RELX

RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs more than 36,000 people over 40% of whom are in North America.____Please note that RELX does not contact people through social media to extend job or contract offers, nor do we request money, credit card details or bank account information as part of any project or job application process. Any such request is fraudulent. Please contact your local law enforcement agency if you have been victimized by a scammer. For careers, access https://www.relx.com/careers/why-relx

Founded in 1993

London, England, GBR

2.8K employees (297 in marketing)

www.relx.com

Traffic Signals

Monthly Visitors

139.5K

Traffic Source Mix

49.2%

Direct

38.2%

Referral

9.7%

Social

1.8%

Paid

Headcount Trend

Current headcount: ~2.8K

Marketing Team

Marketing Team Size

250 (9% of company)

Marketing Roles Posted (Last 30 Days)

Recent News

Relx thrives by swapping journals for data

Nov 27, 2025 • Financial Times

How Analysts See the Evolving Story Behind RELX’s Growth and Competitive Advantage

Nov 21, 2025 • Yahoo Finance

Market Watch: Informa and RELX Report Strong Growth in 2025, Project Continued Momentum into 2026

Nov 19, 2025 • Trade Show News Network

Responsibilities

Set the vision and strategic priorities, acting as a recognized expert for Data Science
Lead and develop a team of data scientists and ML engineers, setting the cultural tone for the group
Drive applied research with a clear path to production, explicitly balancing innovation against real-world constraints including latency, cost, and reliability
Build and scale evaluation science capabilities within the team, including offline evaluation frameworks, automated benchmarking pipelines, and human-in-the-loop feedback systems to rigorously measure model quality and business impact
Champion hands-on rapid prototyping and iteration
Collaborate with other Data Science teams to maximize re-use of components and patterns, eliminating waste, duplication and unnecessary customization
Operate with broad scope, coordinating across multiple cross-functional teams, systems, and domains
Collaborate closely with other Data Science teams, to define and execute the AI roadmap across the content lifecycle, maximizing reuse in areas including: Content collection (e.g. “web scraping”) and transformation; Metadata extraction, enrichment, and classification; Agentic workflows turning real-world events and legal content into legal intelligence; AI-powered downstream product capabilities
Design and deploy scalable, production-grade AI systems, including: LLM-powered document understanding and generation; Agentic workflows balancing agent autonomy and efficiency with required structure and accuracy; Retrieval-augmented generation (RAG) pipelines; Hybrid ML + rules-based systems for structured content
Lead through execution and by example: Actively writing code, not just delegating; Building and demoing working prototypes (e.g. by “vibe coding”); Directly contributing to experiments and production models

Requirements

Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, or a related field strongly preferred, or equivalent practical experience
Bachelor’s degree in a relevant field with significant applied experience in data science, machine learning, or AI
8+ years of relevant experience in data science, machine learning, or applied AI
4+ years of leadership experience (direct or indirect team management)
Proficient with Python, ML and LLM tooling such as Google ADK, LangChain, ML Frameworks (e.g. TensorFlow, PyTorch) and prompt tuning techniques
Familiarity with vector databases, knowledge graphs, and hybrid retrieval architecture
Strong experience working with structured and unstructured data at scale
Ability to design and implement data pipelines and preparation workflows
Experience integrating ML into complex, multi-stage processing systems
Working knowledge of containerization, CI/CD, RESTful API Design and model serving tools

Preferred

Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience
8+ years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems
Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable
Familiarity with ethical/legal considerations in deploying generative AI in professional settings

Benefits

Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits
Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice