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Marketing jobs

2 marketing jobs

7 weeks ago

Director Marketing Analytics

MQ Referrals Only

USA (Hybrid)Full time$200K/yr – $268K/yr

3 months ago

Demand Generation Manager

MQ Referrals Only

USA (Hybrid)Full time$141K/yr – $207K/yr

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MQ Referrals Only

Director Marketing Analytics

USA (Hybrid)

$200K/yr – $268K/yrDirector/Executive10+ years expFull time

Posted 7 weeks ago

Top 1% of applicants do these two things.

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Job Summary

Own the marketing analytics engine for an enterprise B2B go-to-market, turning attribution, pipeline impact and executive storytelling into trusted, revenue-focused decisions.

Attribution & Revenue Modeling: define and own the measurement framework across multi-touch paths and ABM to land executive-ready insights.
GTM Analytics & Reporting: translate data into strategic POVs for budget, channel mix, ICPs, and campaign bets to influence spend and headcount.

Job Description

Responsibilities

Define and own Marqeta's B2B marketing attribution strategy and partner with RevOps and Finance to land a measurement framework that Sales and the C-suite trust and use
Build the connective tissue between marketing programs, media investments and revenue outcomes: pipeline sourced, pipeline influenced, deal velocity, win rate by segment, and CAC by channel
Lead a team of marketing analysts, establishing operating rhythms, analytic standards, and career development frameworks
Serve as a senior strategic voice in GTM planning, bringing data-driven POVs to budget allocation, channel strategy, ICP prioritization, and campaign investment decisions
Partner with Demand Generation, Product Marketing, and Brand teams to design measurement frameworks and testing protocols.
Own executive-level marketing reporting to the CMO, CFO, and Board: translate complex data into clear narratives about where marketing is creating enterprise value
Build and maintain the marketing data infrastructure in partnership with Data Engineering, ensuring clean, unified data across Salesforce, Marketo, paid channels, and intent platforms
Develop forecasting models that project Enterprise NAL pipeline contribution from marketing investments, informing quarterly planning and headcount decisions
Lead the marketing org's AI and automation strategy for analytics, identifying where machine learning, predictive scoring, and AI-generated insights can accelerate speed-to-insight
Establish a culture of experimentation by designing statistically valid tests across channels and campaigns, and building institutional knowledge from results

Requirements

10+ years in Enterprise B2B marketing analytics, GTM analytics, or growth analytics, with at least 3 years in a people leadership role
Experience with complex B2B GTM motions including ABM, enterprise sales cycles, partner-influenced deals, and multi-stakeholder buying journeys
Deep expertise in B2B attribution modeling: you understand the fundamental challenges of attributing revenue in long sales cycles with multiple buying group touches, and you have built models that balance rigor with organizational adoption
Strong command of how marketing fits into the full revenue engine — you can speak fluently with Sales, Finance, and RevOps about pipeline, coverage ratios, CAC, LTV, and go-to-market efficiency
Proven ability to influence strategy: you don't just report what happened, you shape what happens next. You've used data to shift budget (such as Events, Paid Media, etc), change channel mix, or redirect a program — and you can point to the outcome
Proficiency with the core marketing and revenue tech stack: Salesforce, Marketo (or HubSpot), BI tools (Tableau, Looker, or equivalent), data warehousing (Snowflake, BigQuery, or similar), and familiarity with ABM/GTM software (Demandbase, 6Sense, etc)
Strong proficiency in SQL and experience working directly with warehouse data to validate models, investigate anomalies, and support ad hoc analysis
Comfortable with statistical modeling, regression analysis, and cohort analysis — you know when to use a model and when a well-structured spreadsheet is more persuasive
Strong communicator who can translate analytical complexity into executive-level narratives without losing nuance
Location flexibility: role can be performed remote within the United States or from Oakland, CA or New York City offices

Preferred

Experience in fintech, payments, embedded finance, SaaS, or financial services strongly preferred
Familiarity with AI/ML applications in marketing analytics — predictive lead scoring, churn modeling, anomaly detection — and a point of view on where these create real leverage vs. hype
Comfortable operating in ambiguity, building programs from scratch, and operating without a fully defined playbook

Benefits

Marqeta offers
Multiple health insurance options
Flexible time off – take what you need
Retirement savings program with company contribution and after tax contributions
Equity in a publicly-traded company and an Employee Stock Purchase Program
Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
Free therapy sessions, financial and professional coaching, and legal advice
Monthly stipend to support our remote work model
Annual “development dollars” to support our people growth and development

Marketing Team

Marketing Roles Posted (Last 30 Days)

Responsibilities

Define and own Marqeta's B2B marketing attribution strategy and partner with RevOps and Finance to land a measurement framework that Sales and the C-suite trust and use
Build the connective tissue between marketing programs, media investments and revenue outcomes: pipeline sourced, pipeline influenced, deal velocity, win rate by segment, and CAC by channel
Lead a team of marketing analysts, establishing operating rhythms, analytic standards, and career development frameworks
Serve as a senior strategic voice in GTM planning, bringing data-driven POVs to budget allocation, channel strategy, ICP prioritization, and campaign investment decisions
Partner with Demand Generation, Product Marketing, and Brand teams to design measurement frameworks and testing protocols.
Own executive-level marketing reporting to the CMO, CFO, and Board: translate complex data into clear narratives about where marketing is creating enterprise value
Build and maintain the marketing data infrastructure in partnership with Data Engineering, ensuring clean, unified data across Salesforce, Marketo, paid channels, and intent platforms
Develop forecasting models that project Enterprise NAL pipeline contribution from marketing investments, informing quarterly planning and headcount decisions
Lead the marketing org's AI and automation strategy for analytics, identifying where machine learning, predictive scoring, and AI-generated insights can accelerate speed-to-insight
Establish a culture of experimentation by designing statistically valid tests across channels and campaigns, and building institutional knowledge from results

Requirements

10+ years in Enterprise B2B marketing analytics, GTM analytics, or growth analytics, with at least 3 years in a people leadership role
Experience with complex B2B GTM motions including ABM, enterprise sales cycles, partner-influenced deals, and multi-stakeholder buying journeys
Deep expertise in B2B attribution modeling: you understand the fundamental challenges of attributing revenue in long sales cycles with multiple buying group touches, and you have built models that balance rigor with organizational adoption
Strong command of how marketing fits into the full revenue engine — you can speak fluently with Sales, Finance, and RevOps about pipeline, coverage ratios, CAC, LTV, and go-to-market efficiency
Proven ability to influence strategy: you don't just report what happened, you shape what happens next. You've used data to shift budget (such as Events, Paid Media, etc), change channel mix, or redirect a program — and you can point to the outcome
Proficiency with the core marketing and revenue tech stack: Salesforce, Marketo (or HubSpot), BI tools (Tableau, Looker, or equivalent), data warehousing (Snowflake, BigQuery, or similar), and familiarity with ABM/GTM software (Demandbase, 6Sense, etc)
Strong proficiency in SQL and experience working directly with warehouse data to validate models, investigate anomalies, and support ad hoc analysis
Comfortable with statistical modeling, regression analysis, and cohort analysis — you know when to use a model and when a well-structured spreadsheet is more persuasive
Strong communicator who can translate analytical complexity into executive-level narratives without losing nuance
Location flexibility: role can be performed remote within the United States or from Oakland, CA or New York City offices

Preferred

Experience in fintech, payments, embedded finance, SaaS, or financial services strongly preferred
Familiarity with AI/ML applications in marketing analytics — predictive lead scoring, churn modeling, anomaly detection — and a point of view on where these create real leverage vs. hype
Comfortable operating in ambiguity, building programs from scratch, and operating without a fully defined playbook

Benefits

Marqeta offers
Multiple health insurance options
Flexible time off – take what you need
Retirement savings program with company contribution and after tax contributions
Equity in a publicly-traded company and an Employee Stock Purchase Program
Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
Free therapy sessions, financial and professional coaching, and legal advice
Monthly stipend to support our remote work model
Annual “development dollars” to support our people growth and development