Jobs › Companies › DataVisor › Senior Digital Marketing Manager

About this Senior Digital Marketing Manager role at DataVisor

DataVisor · Onsite · Mountain View, California, United States

About DataVisor

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview

You'll own DataVisor’s digital channels end-to-end and make them perform. A big part of the job is building our brand as a trusted voice in fraud, risk, and AML through a clear content strategy, then getting that content in front of the right people through AI search, our website, email, paid ads, and social.

This is a senior IC role with real ownership. You'll set the strategy, do the work, and be measured on the demo requests and opportunities your channels drive.

Key Responsibilities

Content strategy

  • Build and own a content strategy that establishes DataVisor as a thought leader in fraud, risk, and financial crime.
  • Run the editorial calendar, work with subject matter experts, and hold a high bar on quality.
  • Plan distribution so every piece reaches the right audience across search, email, paid, and social.

AI visibility and SEO

  • Optimize AI Search for Fraud Typologies: Tailor AEO/GEO and thought leadership content to address rapidly evolving fraud vectors (e.g., synthetic identities, account takeover, and AI-driven social engineering)
  • Track our visibility in AI answers and what's driving or limiting it.
  • Own organic search strategy, from keyword and topic planning to on-page and technical SEO, and grow organic traffic from our target audience.
  • Build and manage our presence on the third-party sites that buyers and AI tools rely on, like G2, Reddit, and Quora.

Website

  • Publish and update pages in Webflow, including new product and landing pages.
  • Improve conversion across the site, especially demo and contact paths.

Email

  • Own our email programs end to end: newsletters, nurture, product and event announcements, and campaign sends.
  • Keep deliverability, segmentation, and list health in good shape, and test your way to better open, click, and reply rates.

Paid and display ads

  • Plan, launch, and optimize Google Ads, Bing Ads, and LinkedIn Ads for an enterprise B2B audience.
  • Create and launch display ads for both awareness and outbound campaigns, including person-based platforms like Influ2.
  • Manage targeting, and creative testing, and ensure proper attribution to be able to report on what's driving real conversations, not just clicks.

Social media

  • Own DataVisor's company social presence, with LinkedIn as the priority channel.
  • Build a steady posting rhythm across thought leadership, content, events, and company news.
  • Grow reach and engagement with fraud, risk, and AML leaders.

How we'll measure success

Your main number is inbound pipeline: demo requests and opportunities that come from your channels. The rest are leading indicators that show whether your channels are working:

  • Organic traffic from our target audience
  • How often DataVisor appears and gets cited in AI search answers
  • Email engagement and conversion
  • Content and social reach and engagement with fraud, risk, and AML leaders
  • Paid efficiency (cost per qualified lead and cost per opportunity)

Requirements

What you bring

  • 7+ years in B2B marketing, ideally at an enterprise SaaS company with a long sales cycle.
  • You're AI-first in how you work. You use AI tools every day for research, content, analysis, and ops, and you're always looking for ways to do more with them.
  • Experience owning content strategy: building a brand's point of view, deciding what to publish and why, and tying content to business results.
  • Hands-on experience improving a brand's visibility in AI search answers (AEO/GEO), and a clear view of how LLMs are changing the way buyers find vendors.
  • A demonstrated increase in organic traffic you can point to, plus strong technical SEO knowledge.
  • A strong track record running email programs for B2B enterprise SaaS: segmentation, nurture, deliverability, and testing.
  • Hands-on experience managing Google Ads, Bing Ads, and LinkedIn Ads for enterprise B2B audiences, with results you can explain.
  • Strong experience creating and running display ads for both awareness and outbound campaigns, ideally including person-based platforms.
  • Experience growing a B2B brand's social presence, especially on LinkedIn.
  • Strong tracking and analytics skills: GA4, Google Tag Manager, UTMs, conversion tracking, and attribution in HubSpot.
  • Experience managing agencies and freelancers.
  • You measure your work by pipeline, not vanity metrics.
  • Experience working closely with designers, and a good eye for creative across web, ads, and social.

Nice to have

  • Experience working in B2B SaaS, fintech, or fraud-prevention technology environments, with familiarity with AI- and data-driven fraud detection solutions.
  • Experience supporting ABM programs for high-value enterprise accounts.
  • Exposure to fintech, banking, fraud, risk, or compliance audiences.
  • Webflow experience, or another website builder and a willingness to learn Webflow quickly.
  • Experience with behavior analytics tools like Mouseflow or Hotjar (heatmaps, session recordings, click tracking).
  • Comfortable making quick creative edits in Figma, Canva, or similar tools.

Benefits

  • Total Base Compensation Range ($135,000 to $170,000)
  • Comprehensive medical, dental, and vision insurance coverage.
  • 401(k) retirement savings plan available.
  • Paid Discretionary Time off (unlimited) plus paid holidays.
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How this Marketing Manager salary compares

This role pays $152,500/yr — in line with the typical range for Marketing Manager roles.

$143,000 median $152,500 $195,200

Typical range $145,000–$181,000/yr, from 7 comparable Marketing Manager listings on JobsRadar (pay annualized to USD). See Marketing Manager salary insights →

About DataVisor

DataVisor is a startup that provides big data security analytics for consumer-facing websites and apps. The DataVisor solution works in real-time and leverages cloud computing to meet the needs of the largest Internet sites in the world. It is proven and deployed in production today.


The company is founded by the world’s experts in Internet security and is backed by NEA, the largest venture capital firm by assets under management, and GSR, which has over $1B under management and specializes in high tech companies focused on China and global markets.


DataVisor is based in Mountain View, CA.

See all jobs at DataVisor →

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