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Marketing Ops

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AI Engineer, Marketing Operations

  • $160K - $200K
  • United States
  • Confirmé
  • On-site
  • Full time
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Salary

$160K - $200K

Location

United States

Setup

On-site

Posted

3 months ago

AI/ML EngineeringMarketing OpsLLM ProductionOn-site$160K-$200KFull-time

The Challenge

Cyera is reinventing data security for the cloud era, trusted by Fortune 1000 companies. They need a hands-on AI engineer to build production-grade LLM systems that transform marketing operations-turning chaos into efficiency at scale.

Your Mission

First 3 Months
1

Deploy first LLM-powered application integrated with Salesforce or Marketo, measuring baseline latency and cost metrics

2

Design and document secure integration architecture for marketing tech stack (CRM, marketing automation, data warehouse)

3

Build RAG pipeline with vector database, evaluation framework, and monitoring for production use

4

Establish AI governance playbook: access controls, guardrails, reliability standards for marketing workflows

By 6 Months
1

Operationalize 3-5 agentic AI systems driving measurable marketing KPIs (lead scoring accuracy, campaign automation ROI)

2

Architect event-driven orchestration framework handling Salesforce/Marketo workflows with <500ms latency

3

Reduce marketing operational costs by 20%+ through AI-powered workflow automation

4

Own end-to-end reliability: implement logging, alerting, cost optimization, and A/B testing framework for AI systems

KPIs You'll Own

AI System Uptime & Latency

Production availability and response time for LLM-powered workflows integrated into marketing stack.

Cost Per AI Inference

Total LLM API and infrastructure costs normalized by number of successful operations deployed.

Marketing Efficiency Gain

Hours saved or revenue impact attributed to AI-automated workflows (lead scoring, outbound routing, content gen).

System Reliability Score

Composite metric tracking error rates, failed guardrails, and prompt injection resilience across production agents.

Tools & Stack

PythonLLM APIs (OpenAI, Anthropic, or similar)Vector Databases (Pinecone, Weaviate, Milvus)SalesforceMarketoAWS/GCP/AzureSnowflakedbt

Your Team

Your Manager

Director or VP of Marketing Operations (implied)

Current Team

Marketing Operations team; cross-functional partnerships with Revenue Operations and Engineering

New role to build AI capability within marketing operations

The Package

Salary

$160K-$200K base

Equity

Likely equity as venture-backed company

Remote

On-site, United States location required

Benefits & Perks

Equity in venture-backed, well-funded startup
Work with Fortune 1000 customer base
Hands-on AI/ML work in production environments
Cross-functional collaboration with marketing and revenue teams
Exposure to modern cloud data infrastructure
Early-stage impact on company's marketing AI strategy

Company Intelligence

Cyera is a data security platform purpose-built for the cloud era. Trusted by Fortune 1000 companies and backed by top-tier investors, they're reinventing how businesses secure data, enable collaboration, and pursue growth. They're proving data security is the next generation of cyber defense.

Funding

Well-funded by world-leading investors

Customers

Fortune 1000 companies, leading global businesses

Culture

World-class, ambitious team building for the cloud era

Is This Role For You?

For You If
  • You've shipped LLM applications in production and debugged real-world prompt/integration failures
  • You're comfortable with API-first architecture and can design secure integrations across multiple systems
  • You want to own end-to-end AI systems: from design through monitoring, cost optimization, and governance
  • You thrive translating business requirements into scalable technical solutions with measurable revenue impact
Won't Work If
  • You're only interested in research or prototyping-this role is production-focused, operationalized AI systems
  • You lack hands-on software engineering fundamentals (Python, SQL, distributed systems thinking)
  • You haven't worked with LLM APIs, vector databases, or RAG architectures in real applications

Interview Process

1

Screening

Technical screening with hiring manager: LLM production experience, system design approach, and marketing tech familiarity

2

Technical Case Study

Design and architect an LLM-powered workflow for a marketing ops use case (e.g., lead scoring, outbound campaign routing)

3

Systems Design

Deep dive on reliability, security, and scalability: monitoring, cost optimization, API integrations across Salesforce/Marketo

4

Cross-functional Panel

Conversations with Marketing Operations, Revenue Ops, and Engineering leadership on collaboration and execution philosophy

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Context

About Marketing Ops roles

Marketing ops professionals own the tech stack, data flows, and processes that make marketing teams efficient. They manage automation platforms, reporting infrastructure, lead routing, and attribution models.

Marketing automationCRM administrationData hygieneAttribution modelingProcess optimization
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