Sr. Manager, Marketing Operations AI & Transformation

Posted 50 Minutes Ago
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Austin, TX, USA
Hybrid
Senior level
Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
Our mission is to simplify IT operations, making IT teams more efficient and users more productive.
The Role
Leads AI and transformation initiatives across global Marketing Operations, including predictive scoring models, agentic workflows, intelligent automation, governance, and responsible AI adoption. The role combines hands-on model and automation delivery with strategy, process redesign, change management, training, stakeholder engagement, and feature governance. It also manages a small team and partners with Data & AI, Campaign Operations, and Technology Strategy teams.
Summary Generated by Built In

About the Role   

We are seeking a Senior Manager, AI & Transformation that leads the design, deployment, and adoption of AI-driven systems across Global Marketing Operations - spanning predictive modeling, agentic AI workflows, and intelligent automation. This role sits at the intersection of data science, MarTech, and organizational change: building the models and tools that determine which accounts and contacts to pursue and how to engage them, while also leading the broader shift in how the marketing operations organization works with AI day to day. 

Reporting to the Director of Marketing Operations, this is a working leadership role with a team of 1+ reports to support the function and future potential for team growth. You will lead the AI & Transformation work-stream within the Marketing Operations (MOps) team and will ship production models and automations directly, while also setting the standards, governance, and enablement programs that allow the marketing operations team adopt AI responsibly and effectively. This role will be responsible for setting the strategy and standards for accelerating Marketing Operations’ AI and automation adoption, while execution will be owned by peers leading our Campaign & Data Operations and Technology Strategy & Operations workstreams also within MOps. 

Location - Hybrid in AustinIn the office 3 days per week (Mon, Tues, & Thurs) 

What You’ll be Doing 

AI Use Case Strategy & Roadmap: 

  • Identify, define, and shape the highest priority AI use cases for the Marketing Operations team 

  • Define the scoring architecture for predictive contact & lead scoring and select the model approach in partnership with the Data & AI team and our Campaign & Data Operations lead in MOps, documenting rationale and validation methodology 

  • Design & deploy agentic workflows that automate multi-step marketing operations tasks (e.g., campaign QA, reporting assembly, list hygiene, list import) with human-in-the-loop checkpoints where risk warrants it 

  • Evaluate emerging generative AI capabilities (new model releases, agent frameworks) for applicability to Marketing Operations, and pilot before broader rollout 

  • Establish AI model governance and data quality measures 

Change Management & Enablement: 

  • Champion change management, enablement, and adoption of new automated workflows, agentic capabilities, and process changes through training, communications, playbooks, enablement sessions, and stakeholder engagement 

  • Establish feedback loops with end users and partners within the Data & AI team to bring their perspective to planning, implementation, and optimization 

  • Identify and lead process redesign opportunities where AI removes manual steps entirely, rather than simply speeding up the old process 

In-Product AI Utilization & Feature Governance: 

  • Partnering with our Technology Strategy team in Marketing Ops, consult on the assessment of AI capabilities available in our existing technology stack and make recommendations on build/buy/usage Govern shadow AI: any AI feature activated outside this process is evaluated to determine if it should be integrated or deactivated

  • Other duties as needed 

  About You 

  • Degree in Marketing, Information Systems, or equivalent applied experience 

  • 6-8+ years in marketing operations, revenue operations, or applied data science, with at least 2 years leading predictive modeling or AI/automation initiatives 

  • Prior people management experience, or demonstrated readiness to manage a small team 

  • Hands-on fluency with Salesforce.com, a marketing automation platform (Pardot, Marketo, Eloqua, HubSpot, or equivalent); working knowledge of SQL and Python required 

  • Experience with or working knowledge of intent data platforms (6sense, Bombora, G2) and generative AI tooling in a business context 

  • Track record of translating model output into workflows that Sales and Marketing adopt 

  • Curiosity and confidence to explore new agentic AI and automation capabilities; with a focus on delivering AI initiatives responsibly. 

  • Comfort in communicating impact to senior stakeholders 

  • You align with our values Curiosity, Integrity, Kindness, Humility, & Builders and are committed to creating an environment where these values flourish in our teams 

About Us  

NinjaOne unifies IT to simplify work for nearly 40,000 customers in 140+ countries. ​ 

The NinjaOne Unified IT Operations Platform delivers endpoint management, autonomous patching, backup, and remote access in a single console to improve efficiency, increase resilience, and reduce spend. By automating IT and managing all endpoints, organizations give employees a great technology experience at work. ​ NinjaOne is obsessed with customer success and has retained a 98% customer satisfaction score for more than 5 years. 

What You’ll Love  

We are a collaborative, kind, and curious community.  

We honor your flexibility needs with full-time work that is hybrid remote.  

We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance. 

We help you prepare for your financial future with our 401(k) plan. 

We prioritize your work-life balance with our unlimited PTO. 

We reward your work with opportunity for growth and advancement. 

Additional Information 

This position is NOT eligible for Visa sponsorship.   

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment. 

#LI-MK1 

#Li-Hybrid 

#BI-Hybrid 

Skills Required

  • Degree in Marketing, Information Systems, or equivalent applied experience
  • 6–8+ years of experience in marketing operations, revenue operations, or applied data science
  • At least 2 years leading predictive modeling or AI/automation initiatives
  • Prior people management experience or demonstrated readiness to manage a small team
  • Hands-on fluency with Salesforce.com
  • Hands-on fluency with a marketing automation platform such as Pardot, Marketo, Eloqua, or HubSpot
  • Working knowledge of SQL and Python
  • Experience with or working knowledge of intent data platforms such as 6sense, Bombora, or G2
  • Experience with generative AI tooling in a business context
  • Track record of translating model output into workflows adopted by Sales and Marketing
  • Ability to communicate impact to senior stakeholders

NinjaOne Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NinjaOne and has not been reviewed or approved by NinjaOne.

  • Healthcare Strength Health coverage spans medical, dental, and vision with a notable employer premium contribution, alongside mental-health and wellness programs. This combination indicates robust support for routine and preventive care.
  • Leave & Time Off Breadth Policies highlight unlimited or flexible PTO alongside paid holidays and sick time, as well as generous parental leave. Flexible scheduling and hybrid/remote options reinforce time-off usability.
  • Fair & Transparent Compensation Pay is characterized as decent to good overall and competitive for many engineering and senior IC roles. Publicly posted ranges and salary snapshots align to market-typical totals in several functions.

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The Company
HQ: Austin, TX
2,000 Employees
Year Founded: 2013

What We Do

NinjaOne, the automated endpoint management platform, delivers visibility, security, and control over all endpoints for more than 30,000 customers in 130+ countries. The cloud-native NinjaOne platform simplifies endpoint management, patching, and visibility for environments at any scale. It is proven to increase productivity, reduce security risk, and lower costs. 

Why Work With Us

NinjaOne is proud to be an independent, founder-led company. NinjaOne is filled with passionate, driven people of all backgrounds. We’re proud to celebrate our differences and build a company based on integrity, inclusion and acceptance. We invest in our staff and implement a policy of transparency with a flat organizational structure.

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