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Senior Director, Marketing Technology (MarTech)

ServiceNow

Senior Director, Marketing Technology (MarTech)

ServiceNow

San Francisco

·

On-site

·

Full-time

·

1w ago

The

Senior Director, Marketing Technology (Mar Tech) is responsible for building and operating Service Now’s global Marketing Technology ecosystem as a strategic growth platform—powering buying-group engagement, lifecycle orchestration, and AI-enabled marketing at scale.

This role owns the Mar Tech operating system: defining how platforms, data, workflows, and AI agents work together to enable consistent, compliant, and high-performing marketing execution across regions and teams. The Senior Director leads platform strategy, governance, and enablement while partnering closely with Digital Experience, Activation, Data & Analytics, IT, and Integrated Marketing.

This is a senior leadership role requiring deep technical fluency, strong product thinking, and the ability to operate at the intersection of architecture, governance, and business outcomes

Key Responsibilities

Mar Tech Strategy & Architecture

  • Define and own the enterprise Mar Tech architecture, including marketing automation, CDP, identity, orchestration, analytics, and AI enablement layers.
  • Translate GTM and Buying Group strategy into system behavior: orchestration logic, data flows, decisioning rules, and activation patterns.
  • Maintain a multi-year Mar Tech roadmap aligned to business priorities, platform evolution, and AI capability maturity.

Platform Operations & Enablement

  • Lead day-to-day operations of core Mar Tech platforms (e.g., automation, CDP, journey orchestration, CMS/CCMS integrations).
  • Establish operational rigor: intake models, SLAs, release management, platform health metrics, and incident management.
  • Build enablement programs that ensure marketers, pods, and partners can self-serve effectively within governed guardrails.

AI, Automation & Agent Operations

  • Operationalize AI and agent-based workflows across marketing use cases (e.g., journey optimization, content generation, testing, targeting).
  • Define “human-in-the-loop” accountability for all AI systems to ensure quality, brand safety, and regulatory compliance.
  • Partner with Data, Engineering, and IT to scale agent orchestration responsibly across the Mar Tech stack.

Governance, Privacy & Compliance

  • Own Mar Tech governance across data privacy, consent management, AI governance, and brand safety.
  • Ensure compliance with global regulations (GDPR, CCPA, emerging AI regulations) across all marketing platforms and workflows.
  • Establish clear standards for data usage, integrations, vendor access, and third-party activation.
  • Cross-Functional Leadership & Partnership
  • Partner with Digital Experience and Activation leaders to ensure Mar Tech enables end-to-end journeys across owned and paid channels.
  • Collaborate with Data & Analytics to ensure clean signal capture, identity resolution, measurement, and closed-loop optimization.
  • Act as the senior Mar Tech counterpart to IT/DT on architecture decisions, integrations, security, and scalability.

Key Outcomes & Deliverables

  • A scalable, AI-enabled Mar Tech operating system aligned to Buying Groups and lifecycle engagement
  • Clear platform ownership, governance models, and decision rights across Marketing and IT
  • Improved speed-to-market for campaigns and journeys without sacrificing compliance or quality
  • Increased adoption and measurable value realization from Mar Tech investments
  • A future-ready foundation for agentic marketing and real-time orchestration

Required Qualifications

Experience & Expertise

  • 12+ years of experience in Mar Tech, digital platforms, or marketing systems leadership
  • Proven ownership of large-scale Mar Tech ecosystems (automation, CDP, identity, orchestration, analytics)
  • Strong understanding of B2B GTM models, Buying Groups, lifecycle marketing, and account-based strategies
  • Demonstrated experience operationalizing AI and automation in production marketing environments

Technical & Strategic Skills

  • Deep fluency in Mar Tech architecture, data flows, and integration patterns
  • Product-oriented mindset: roadmaps, backlogs, adoption metrics, and value measurement
  • Strong governance instincts across privacy, AI risk, and brand safety
  • Ability to balance enterprise standards with speed and flexibility for execution teams

Leadership Competencies

  • Executive presence and the ability to influence across senior stakeholders
  • Comfort operating in ambiguity and leading through transformation
  • Strong people leadership with experience building and scaling platform teams
  • Clear communicator who can translate complex technical systems into business outcome

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to Service Now employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, Service Now may confirm the distance between your primary residence and the closest Service Now office using a third-party service.

Equal Opportunity Employer

Service Now is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), Service Now may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon Service Now obtaining any export license or other approval that may be required by relevant export control authorities.

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

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About ServiceNow

ServiceNow

ServiceNow, Inc. is an American software company that supplies a cloud computing platform for the creation and management of automated business workflows. The company was founded in Santa Clara, California, United States, in 2003 by Fred Luddy.

10,001+

Employees

Santa Clara

Headquarters

Reviews

3.9

25 reviews

Work Life Balance

3.2

Compensation

3.8

Culture

2.8

Career

3.5

Management

2.9

45%

Recommend to a Friend

Pros

Good compensation and benefits package

Learning opportunities and skill development

Work-life balance emphasis and flexible remote options

Cons

Toxic management and politics

Heavy bureaucracy and slow decision making

Layoffs and restructuring uncertainties

Salary Ranges

31 data points

Mid/L4

Director

Mid/L4 · Business Analyst

1 reports

$123,571

total / year

Base

$107,453

Stock

-

Bonus

-

$123,571

$123,571

Interview Experience

11 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Offer Rate

45%

Experience

Positive 18%

Neutral 82%

Negative 0%

Interview Process

1

Application Review

2

Phone Screen/Online Assessment

3

Technical Interview

4

Behavioral Interview

5

Final Round/Panel Interview

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience