Director, Marketing AI & GTM Automation

As a Director, Marketing AI & GTM Automation, you will be tasked with building and leading a marketing-led team that owns how AI and automation are applied across the go-to-market motion. you will set the AI strategy for marketing's GTM work, decide which use cases get built and in what order, ship the systems that transform how teams execute, and run those systems as durable, measured infrastructure. this role owns the full arc of strategy, implementation, and run-the-business work, partnering daily with demand generation, PLG, SDR, product marketing, brand, and marketing operations, as well as revenue operations, revenue technology, sales, IT/security, and legal..

What Will You Do?

Primary responsibilities include:

AI use-case roadmap: Maintain a prioritized, revenue-linked backlog of AI and automation use cases across the GTM funnel. Translate operational friction ("our lead response is too slow," "campaign QA is manual") into scoped, sequenced initiatives with defined success metrics, rather than chasing tool novelty.

Governance and trust: Own the marketing-specific guardrails for AI, including what systems are permitted to do on the brand's behalf, what data they can access, which outputs require human review, and how everything is logged and audited. Coordinate with legal, security, and compliance on policy and risk.

The marketing technology stack and its AI layer: Own the architecture, integration layer, and roadmap for the marketing tech stack (marketing automation, CDP, orchestration, analytics, and the marketing side of CRM) and the AI layer that now sits across it. Partner with revenue technology and sales-systems owners where workflows cross team lines, rather than absorbing their scope. Manage vendor selection, contracts, and consolidation; prevent tool sprawl.

Implementation and delivery: Set standards for how AI agents and agentic workflows are designed, built, evaluated, and deployed. Own the evaluation discipline, including output quality scoring, benchmarking, and regression testing, so that "it works" is measured, not asserted.

Enablement and adoption: Build the skill libraries, prompt libraries, training, and coaching motion that get the broader marketing org self-sufficient. Adoption is a first-class deliverable, not an afterthought.

Team and craft: Hire, develop, and lead a small team of specialists (GTM engineers, a marketing technology/ops lead, an enablement/governance lead). Set the technical bar, run the operating cadence, and create the career paths that keep scarce talent.

Measurement: Define and report the metrics that prove the function's value, including cycle-time reduction, output quality, cost-to-serve, and pipeline and revenue influence, to the CMO and cross-functional leadership.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

8+ years across marketing/GTM operations, marketing technology, growth, or a related function, with meaningful time owning systems that directly touched pipeline or revenue

3+ years leading and developing people, ideally a mix of technical and operational talent

Demonstrated ownership of a modern GTM/marketing tech stack, including Salesforce, Marketo, CDP platforms (Segment, Tealium, mParticle, Adobe Real-Time CDP), and analytics/orchestration tools (Snowflake, Looker, Tableau, Adobe Experience Platform)

Hands-on fluency with how AI is built into GTM work today, including agent frameworks (LangChain, CrewAI, LlamaIndex), LLM platforms (Claude, OpenAI, Gemini), evaluation/observability tools (LangSmith, Braintrust), and human-in-the-loop review and prompt architecture practices

A track record of translating strategy into shipped systems, and of driving adoption across teams you don't directly manage

Strong cross-functional judgment, comfortable partnering with legal, security, sales, and product to ship safely

Preferred: Experience standing up or scaling an AI/automation function inside a larger marketing or broader GTM organization

Preferred: Familiarity with agent frameworks, orchestration platforms (e.g., n8n, Make), APIs/MCP integrations, and lightweight scripting (SQL, Python, or JavaScript), enough to be dangerous, not necessarily to build production code yourself

Preferred: B2B / enterprise SaaS background

Preferred: Experience building measurement and governance frameworks for AI in a regulated or brand-sensitive environment

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

Equity & Rewards

Restricted Stock Units (RSUs)

Employee Stock Purchase Plan (ESPP)

Time Off & Wellbeing

Flexible time off

Paid company holidays and paid sick time

Gender-neutral parental leave

Grandparent leave

Insurance & Financial Security

Medical, dental, and vision coverage

401(k) retirement plan with company match

Life and disability insurance

Health and dependent care FSA

Voluntary benefits (hospital, accident, critical illness)

Employee Assistance Program (EAP)

ARAG pre-paid legal

Nationwide pet insurance

Cancer Care program

Global business travel medical insurance

Work Perks & Flexibility

Home office allowance

Mobile phone reimbursement

Wellness & Lifestyle

Wellness coach

Wellness/gym reimbursement

Fertility coverage

Adoption & surrogacy reimbursement

This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply.  If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.

Base Salary Range

$180,000—$270,000 USD