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Marketing jobs

9,501 marketing jobs

2 weeks ago

Staff Data Scientist, CRM & Lifecycle Marketing

Intuit

San Diego, CA (On-site)Full time$194K/yr – $263K/yr

2 weeks ago

Director, Marketing Operations - Growth Systems

Intuit

Mountain View, CA (Hybrid)Full time$254K/yr – $343K/yr

2 weeks ago

[Contract] Product Marketing Manager - Competitive Intelligence & AI Beta Program

Clever Inc.

USA (Remote)Contract

2 weeks ago

Sr. Marketing Operations Manager, AWS Marketing Strategy, Operations, and Enablement

Amazon Web Services

Arlington, VA (Unknown)Full time$130K/yr – $185K/yr

2 weeks ago

Customer Marketing Manager

Superhuman

San Francisco, CA (Hybrid)Full time$123K/yr – $195K/yr

2 weeks ago

Director, Demand Generation Marketing & Analytics

C3 AI

Redwood City, CA (Unknown)$155K/yr – $221K/yr

2 weeks ago

Director, Content & Digital Experience

ZeroFOX

USA (Unknown)Full time$175K/yr – $200K/yr

2 weeks ago

Head of Corporate Marketing

LaunchDarkly

Oakland, CA (Remote)$183K/yr – $295K/yr

2 weeks ago

Applications Engineer

Eaton

Greenwood, SC (Hybrid)Full time$113K/yr – $165K/yr

2 weeks ago

Brand Storyteller

Bullhorn

USA (Remote)Full time$140K/yr – $154K/yr

2 weeks ago

Marketing Planning Manager - Credit Card Customer Marketing

Mount Laurel, NJ (Unknown)Full time$91K/yr – $146K/yr

2 weeks ago

Senior Director, Product and Market Strategy Genomics

Takara Bio USA

San Jose, CA (Unknown)Full time$250K/yr – $270K/yr

2 weeks ago

SVP of Marketing

airSlate

USA (Remote)Full time

2 weeks ago

Content Marketer

Radancy

Chicago, IL (Hybrid)Full time$45K/yr – $50K/yr

2 weeks ago

(USA) Manager, Creative

Walmart

Los Angeles, CA (On-site)Full time$96K/yr – $186K/yr

2 weeks ago

Senior Segment Product Marketing Manager (Field Service)

Geotab

Atlanta, GA (Remote)Full time$104K/yr – $136K/yr

2 weeks ago

Senior Segment Product Marketing Manager (Public Sector)

Geotab

Atlanta, GA (Hybrid)Full time$104K/yr – $136K/yr

2 weeks ago

Communications INTERN

Microsoft

Redmond, WA (On-site)Full time$5K/mo – $10K/mo

2 weeks ago

Performance Marketing Manager

CelerData

Menlo Park, CA (On-site)Salaried Ft$180K/yr – $220K/yr

2 weeks ago

Technical Product Marketing Manager

CelerData

Menlo Park, CA (Hybrid)Salaried Ft$150K/yr – $200K/yr

All marketing roles in the US in the Software industry

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All marketing roles in the US in the Software industry

Get alerts for this search

9,501 jobs

Staff Data Scientist, CRM & Lifecycle Marketing

Intuit

San Diego, CA (On-site)

$194K/yr - $263K/yrIn-houseFull-timeSenior level8+ years exp.

2 weeks ago

Director, Marketing Operations - Growth Systems

Intuit

Mountain View, CA (Hybrid)

$254K/yr - $343K/yrIn-houseFull-timeDirector/executive

2 weeks ago

[Contract] Product Marketing Manager - Competitive Intelligence & AI Beta Program

Clever Inc.

USA (Remote)

In-houseContractSenior level

2 weeks ago

Sr. Marketing Operations Manager, AWS Marketing Strategy, Operations, and Enablement

Amazon Web Services

Arlington, VA (Unknown)

$130K/yr - $185K/yrIn-houseFull-timeSenior level

2 weeks ago

Customer Marketing Manager

Superhuman

San Francisco, CA (Hybrid)

$123K/yr - $195K/yrIn-houseFull-timeMid level3+ years exp.

2 weeks ago

Director, Demand Generation Marketing & Analytics

C3 AI

Redwood City, CA (Unknown)

$155K/yr - $221K/yrIn-houseDirector/executive

2 weeks ago

Director, Content & Digital Experience

ZeroFOX

USA (Unknown)

$175K/yr - $200K/yrIn-houseFull-timeDirector/executive8+ years exp.

2 weeks ago

Head of Corporate Marketing

LaunchDarkly

Oakland, CA (Remote)

$183K/yr - $295K/yrIn-houseSenior level15+ years exp.

2 weeks ago

Applications Engineer

Eaton

Greenwood, SC (Hybrid)

$113K/yr - $165K/yrIn-houseFull-timeMid level7+ years exp.

2 weeks ago

Brand Storyteller

Bullhorn

USA (Remote)

$140K/yr - $154K/yrIn-houseFull-timeMid level

2 weeks ago

Marketing Planning Manager - Credit Card Customer Marketing

Mount Laurel, NJ (Unknown)

$91K/yr - $146K/yrIn-houseFull-timeManager7+ years exp.

2 weeks ago

Senior Director, Product and Market Strategy Genomics

Takara Bio USA

San Jose, CA (Unknown)

$250K/yr - $270K/yrIn-houseFull-timeSenior level

2 weeks ago

SVP of Marketing

airSlate

USA (Remote)

In-houseFull-timeSenior level

2 weeks ago

Content Marketer

Radancy

Chicago, IL (Hybrid)

$45K/yr - $50K/yrIn-houseFull-timeMid level

2 weeks ago

(USA) Manager, Creative

Walmart

Los Angeles, CA (On-site)

$96K/yr - $186K/yrIn-houseFull-timeManager

2 weeks ago

Senior Segment Product Marketing Manager (Field Service)

Geotab

Atlanta, GA (Remote)

$104K/yr - $136K/yrIn-houseFull-timeSenior level8+ years exp.

2 weeks ago

Senior Segment Product Marketing Manager (Public Sector)

Geotab

Atlanta, GA (Hybrid)

$104K/yr - $136K/yrIn-houseFull-timeSenior level8+ years exp.

2 weeks ago

Communications INTERN

Microsoft

Redmond, WA (On-site)

$5K/mo - $10K/moIn-houseFull-timeIntern/new grad1+ years exp.

2 weeks ago

Performance Marketing Manager

CelerData

Menlo Park, CA (On-site)

$180K/yr - $220K/yrIn-houseSalaried-FtSenior level4+ years exp.

2 weeks ago

Technical Product Marketing Manager

CelerData

Menlo Park, CA (Hybrid)

$150K/yr - $200K/yrIn-houseSalaried-FtMid level2+ years exp.

2 weeks ago

Intuit

Staff Data Scientist, CRM & Lifecycle Marketing

San Diego, CA (On-site)

$194K/yr – $263K/yrSenior Level8+ years expFull time

Posted 2 weeks ago

Job Description

Responsibilities

Drive Lifecycle Marketing Strategy through Data — Frame the right question self-directed, before analysis is requested. Translate ambiguous marketing and product problems into analytical frameworks, metric trees, and testable hypotheses that alter the CRM roadmap and resource decisions. Partner with Tax leadership and the Lifecycle Marketing team to define north-star metrics, align on learning plans, and establish what success looks like at each stage of the customer journey — from re-engagement and start through completion, attach, and return the following year.
Causal Measurement that Changes Business Decisions — Apply causal inference and counterfactual reasoning to isolate what actually moved a metric — campaign incrementality, journey-level lift, channel mix, halo, and retention — and change the business-area decision it feeds. Design and run experiments, quasi-experiments, holdouts, and synthetic tests when a clean A/B is not available.
Cross-Functional Influence — Serve as the strategic data science partner to leaders across Marketing, Product, Data Engineering, Finance, and adjacent growth teams (paid acquisition, Credit Karma, in-product messaging). Translate complex analytical findings into clear recommendations for Director- and VP-level stakeholders, and drive the work through to the decision in whatever medium lands — slack, readout, model, or working session.
Insights, Journeys & Customer Value at Scale — Conduct deep-dive analyses on customer journeys, audience segments, funnel and cohort performance, and lifetime value to inform where CRM has the most leverage. Design segmentation and personalization strategies that improve targeting, reduce wasted volume, and free messaging capacity for high-value journeys. Create dashboards, visualizations, and self-serve tools — including GenAI-powered applications — so marketing and leadership can act quickly.
AI-Native Measurement, Data Products & Agentic Systems — Identify, size, and prioritize AI use cases for CRM (personalization, journey orchestration, insight generation) against business value, and apply evaluation frameworks (golden datasets, LLM-as-judge with human review, synthetic tests) so non-deterministic experiences can be certified rather than shipped on vibes. Build and maintain the data products the business area and its agents depend on: prototype the data model, pipeline, and surface, then partner with engineering to harden what sticks. Automate recurring analytical bottlenecks into trusted agentic systems that stakeholders can run independently, with encoded business logic, monitoring, and a clear call on what may run without a human in the loop. Champion data hygiene, instrumentation, and decision governance across CRM reporting and campaign measurement.

Requirements

8+ years of experience in data science and analytics, with a track record of driving strategy and impact across a business area (CRM, lifecycle marketing, growth, retention, or equivalent); consumer subscription, fintech, or large-scale owned-channel marketing experience strongly preferred.
Demonstrated ability to apply first-principles thinking to translate ambiguous business strategy into analytical problems at the business-area level — framing the question before analysis runs, rather than waiting for one to be handed down.
Proven success designing and interpreting complex experiments well beyond traditional A/B testing, and applying causal inference where experimentation is constrained (holdouts, quasi-experiments, incrementality, MMM or multi-touch attribution as inputs — not substitutes — for causal claims).
Deep expertise in causal inference, customer segmentation, journey analytics, and experimentation design, with the judgment to balance statistical rigor and business considerations.
Experience building and owning predictive models through their lifecycle (classification, regression, propensity, or similar) and being accountable for the decisions they inform, not just model accuracy.
Experience creating reusable frameworks, methodologies, and data products that are adopted by a broader analytics and marketing community.
Fluency in SQL and a statistical programming language (Python or R); experience partnering with engineering to harden pipelines, instrumentation, and production data products.
Exceptional communication and stakeholder-influence skills, with a demonstrated ability to influence Director- and VP-level leaders across business and technical teams.
Ability to navigate ambiguity with minimal guidance, make fast data-driven decisions (one-way vs. two-way door), and operate effectively in a fast-paced, seasonal business.
Ability to use AI-native tools to plan, implement, and synthesize analyses across experiment readouts, quasi-experimental methods, revenue and retention deep dives, and measuring the success of journey or campaign launches. Comfort sizing AI use cases and evaluating non-deterministic systems, not only using AI as a personal productivity tool.

Preferred

Hands-on experience with CRM platforms (e.g., Braze) and owned-channel measurement (email, push, SMS, in-app).
Experience designing journey-level measurement (behavioral milestones, coordinated intent) alongside campaign-level operational metrics.
Familiarity with marketing mix models, multi-touch attribution, and when not to treat them as causal evidence.

Intuit

4.3 Glassdoor

Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.

Founded in 1983

Mountain View, California, US

17K employees (1,607 in marketing)

www.intuit.com

84% recommend to a friend

82% CEO approval

Salaries

Posted range

$194K/yr – $263K/yr

Taken straight from the job posting.

See all Intuit salaries

Marketing Team

Marketing Team Size

1,039 (6% of company)

Median Career Experience

19 years

Median Tenure

7.1 years

Marketing Roles Posted (Last 30 Days)

People

HR / Recruitment

Anne Wadia

Marketing Director, Talent Acquisition

At the company for 8 years 3 months

Shannon McGrath

Executive Recruiter (Rotation) - Design, PM & Marketing

At the company for 8 years 2 months

Marketing Leadership

Thomas Ranese

Chief Marketing Officer

At the company for 1 year 10 months

Trevor Kelley

VP, Marketing, Consumer Group

At the company for 2 years 10 months

Christine De Martini

Vice President of Marketing, Mid Market

At the company for 3 years 2 months

Monica Muilenburg

Vice President of Marketing and Brand

At the company for 32 years 9 months

Funding

Total Funding

$14.3B

Last Raise

$5.8B

Post IPO Debt, 2 months ago

Funding History

Jan 2026
Post IPO Debt • $5.8B
Jan 2025
Post IPO Debt • $4.5B
Sep 2023
Post IPO Debt • $4B

Traffic Signals

Monthly Visitors

99.9M

Monthly Google Ads Budget

$10.4M

Traffic Source Mix

17.5%

Direct

78%

Referral

Social

0.4%

Paid

Headcount Trend

Current headcount: ~17.3K

Recent News

Intuit Inc. Just Beat Earnings Expectations: Here's What Analysts Think Will Happen Next

Nov 23, 2025 • Yahoo Finance

Intuit CFO talks $100 million OpenAI deal, innovation, and the road ahead

Nov 21, 2025 • Fortune

Intuit Q1 Earnings Surpass Estimates, Online Ecosystem Revenues Surge

Nov 21, 2025 • Yahoo Finance

Links

www.intuit.com

X (Twitter)

Crunchbase

This role is listed on SalaryGuide for informational purposes. SalaryGuide is not the employer, recruitment agency, or hiring representative for this position. Hiring decisions and the application process are managed by the employer. SalaryGuide will never ask candidates to pay to apply for a job or request bank details or identification documents as part of an application.

Responsibilities

Drive Lifecycle Marketing Strategy through Data — Frame the right question self-directed, before analysis is requested. Translate ambiguous marketing and product problems into analytical frameworks, metric trees, and testable hypotheses that alter the CRM roadmap and resource decisions. Partner with Tax leadership and the Lifecycle Marketing team to define north-star metrics, align on learning plans, and establish what success looks like at each stage of the customer journey — from re-engagement and start through completion, attach, and return the following year.
Causal Measurement that Changes Business Decisions — Apply causal inference and counterfactual reasoning to isolate what actually moved a metric — campaign incrementality, journey-level lift, channel mix, halo, and retention — and change the business-area decision it feeds. Design and run experiments, quasi-experiments, holdouts, and synthetic tests when a clean A/B is not available.
Cross-Functional Influence — Serve as the strategic data science partner to leaders across Marketing, Product, Data Engineering, Finance, and adjacent growth teams (paid acquisition, Credit Karma, in-product messaging). Translate complex analytical findings into clear recommendations for Director- and VP-level stakeholders, and drive the work through to the decision in whatever medium lands — slack, readout, model, or working session.
Insights, Journeys & Customer Value at Scale — Conduct deep-dive analyses on customer journeys, audience segments, funnel and cohort performance, and lifetime value to inform where CRM has the most leverage. Design segmentation and personalization strategies that improve targeting, reduce wasted volume, and free messaging capacity for high-value journeys. Create dashboards, visualizations, and self-serve tools — including GenAI-powered applications — so marketing and leadership can act quickly.
AI-Native Measurement, Data Products & Agentic Systems — Identify, size, and prioritize AI use cases for CRM (personalization, journey orchestration, insight generation) against business value, and apply evaluation frameworks (golden datasets, LLM-as-judge with human review, synthetic tests) so non-deterministic experiences can be certified rather than shipped on vibes. Build and maintain the data products the business area and its agents depend on: prototype the data model, pipeline, and surface, then partner with engineering to harden what sticks. Automate recurring analytical bottlenecks into trusted agentic systems that stakeholders can run independently, with encoded business logic, monitoring, and a clear call on what may run without a human in the loop. Champion data hygiene, instrumentation, and decision governance across CRM reporting and campaign measurement.

Requirements

8+ years of experience in data science and analytics, with a track record of driving strategy and impact across a business area (CRM, lifecycle marketing, growth, retention, or equivalent); consumer subscription, fintech, or large-scale owned-channel marketing experience strongly preferred.
Demonstrated ability to apply first-principles thinking to translate ambiguous business strategy into analytical problems at the business-area level — framing the question before analysis runs, rather than waiting for one to be handed down.
Proven success designing and interpreting complex experiments well beyond traditional A/B testing, and applying causal inference where experimentation is constrained (holdouts, quasi-experiments, incrementality, MMM or multi-touch attribution as inputs — not substitutes — for causal claims).
Deep expertise in causal inference, customer segmentation, journey analytics, and experimentation design, with the judgment to balance statistical rigor and business considerations.
Experience building and owning predictive models through their lifecycle (classification, regression, propensity, or similar) and being accountable for the decisions they inform, not just model accuracy.
Experience creating reusable frameworks, methodologies, and data products that are adopted by a broader analytics and marketing community.
Fluency in SQL and a statistical programming language (Python or R); experience partnering with engineering to harden pipelines, instrumentation, and production data products.
Exceptional communication and stakeholder-influence skills, with a demonstrated ability to influence Director- and VP-level leaders across business and technical teams.
Ability to navigate ambiguity with minimal guidance, make fast data-driven decisions (one-way vs. two-way door), and operate effectively in a fast-paced, seasonal business.
Ability to use AI-native tools to plan, implement, and synthesize analyses across experiment readouts, quasi-experimental methods, revenue and retention deep dives, and measuring the success of journey or campaign launches. Comfort sizing AI use cases and evaluating non-deterministic systems, not only using AI as a personal productivity tool.

Preferred

Hands-on experience with CRM platforms (e.g., Braze) and owned-channel measurement (email, push, SMS, in-app).
Experience designing journey-level measurement (behavioral milestones, coordinated intent) alongside campaign-level operational metrics.
Familiarity with marketing mix models, multi-touch attribution, and when not to treat them as causal evidence.