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Senior Product Marketing Manager - Business Value

Swiftkey

Mountain View, CAJobPosted todayStill listed today

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At a glance

Compensation
No compensation found
Location
Mountain View, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The role translates pricing models and value‑measurement methods into clear web messaging, writes executive AI economics content, partners with product and engineering teams, equips field partners with assets, shapes research on AI budgeting, and tracks media and analyst coverage to inform business leaders.

Skills & qualifications

RequiredNice to have

Skills

Professional WritingJournalismEditingAI EconomicsFinOpsCloud PricingIT BudgetingEconomicsFinanceMarket AnalysisExecutive CommunicationCross‑Functional Collaboration

Qualifications

Master's Degree in Marketing or Computer Science or Business or Related Field + 3 Yrs Business Experience or Bachelor's Degree in Marketing or Computer Science or Business or Related Field + 5 Yrs Business Experience5+ Years Professional Writing ExperienceBackground in EconomicsExperience Reporting on Markets and FinanceExperience Writing for Senior ExecutivesExperience Working Across Product Engineering and Finance Teams

Full job description

Translate pricing models and value-measurement methods into plain-language web page messaging, stories, key terms, and explainers that help business leaders quickly understand FinOps for AI and make informed decisions. Write and edit executive content on AI economics, including keynote material, newsletters, and blogs. Partner with product marketing, product, and engineering teams to land FinOps capabilities in launches and major moments, keeping the story consistent from the keynote stage to the customer conversation. Equip field and partner teams with talk tracks, briefing documents, and customer-ready assets for credible conversations about AI cost and value. Shape research and thought leadership on how organizations are reorganizing budgets, teams, and accountability to fund and govern AI, drawing evidence from customers, usage data, and research partners. Track how media, analysts, and competitors cover AI economics, and use what you learn to find the angles others miss. Master's Degree in in Marketing, Computer Science, Business or related field AND 3+ years experience in business OR Bachelor's Degree in Marketing, Computer Science, Business or related field AND 5+ years experience in business OR equivalent experience. 5+ years of professional writing experience as a journalist or editor, or as an in-house writer at a technology company or large enterprise, with a portfolio of published work. Background in economics through a degree, substantial coursework, or professional experience covering or working in economics, finance, or markets. Experience reporting on or writing about markets, corporate finance, or the economics of technology, with published work that makes those topics accessible to a broad audience. Experience writing for or with senior executives, including speeches, bylines, or newsletters. Familiarity with cloud or software pricing, IT budgeting, or FinOps practices. Experience working across product, engineering, and finance teams in a matrixed organization.

How this job compares

Set against the 2,830 open Product Marketing jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This postingNot listed
  • California median$160–225K/yr573 salary ranges
  • US median$28–41/hr49 hourly ranges
Openings
Olive Jobs lists 741 open Product Marketing jobs in California and 2,830 across the US. 11% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 5 years of experience; Product Marketing postings that state a minimum ask for 6 years at the median (2,423 postings).
Education
728 of the 2,830 open Product Marketing jobs (26%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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