AI Engineer – Marketing Operations
About The Position
Come join the company reinventing data security, empowering businesses to realize the full potential of their data. As the leading data security platform purpose-built for the cloud era, Cyera’s mission is to reinvent how businesses secure data, enable agile collaboration, and boldly pursue new business opportunities. Trusted by security teams at leading global businesses, our team is proving that data security is the next big thing in cyber. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data security. We are seeking a technically strong AI Engineer to architect and deploy intelligent systems that transform how Marketing operates. This role sits within Marketing Operations and is responsible for building scalable, production-grade AI systems that drive efficiency, automation, and measurable revenue impact. This is a hands-on engineering role focused on applied AI — designing, integrating, and operationalizing AI systems within our marketing and revenue technology stack. The ideal candidate combines strong software engineering fundamentals with experience building LLM-powered applications and automation systems in production environments.
Requirements
- 4+ years of experience in software engineering or AI engineering
- Strong proficiency in Python and SQL
- Experience building and deploying LLM-based applications in production environments
- Experience working with LLM APIs, vector databases, embeddings, and RAG architectures
- Experience integrating systems via APIs, webhooks, and event-driven frameworks
- Experience deploying and maintaining systems in AWS, GCP, or Azure
- Strong understanding of system design, security, and reliability in distributed environments
Nice To Haves
- Direct experience working within or integrating with modern marketing and revenue technology stacks, including:
- Marketo (or similar marketing automation platforms such as HubSpot or Pardot)
- Salesforce (CRM architecture, objects, workflows, APIs)
- Tableau (or similar BI tools such as Looker or Power BI)
- Clay (data enrichment and outbound automation workflows)
- Additional beneficial technologies and platforms include:
- Snowflake, BigQuery, or other cloud data warehouses
- Segment or other CDPs
- Outreach, Salesloft, or similar sales engagement platforms
- Zapier, Workato, or other workflow automation tools
- Reverse ETL tools (Hightouch, Census)
- dbt or modern data transformation frameworks
- Familiarity with marketing lifecycle management, attribution workflows, lead routing logic, and revenue operations processes is highly advantageous.
Responsibilities
- Design and deploy AI-powered applications embedded within marketing and CRM infrastructure
- Build and productionize LLM-driven workflows, agentic systems, and retrieval-augmented (RAG) architectures
- Architect secure integrations across Salesforce, marketing automation platforms, data warehouses, and external APIs
- Develop scalable orchestration frameworks for AI workflows (event-driven, API-based, and automation-triggered systems)
- Implement monitoring, logging, evaluation, and guardrails for production AI systems
- Establish AI governance, access controls, and reliability standards within marketing systems
- Optimize performance, latency, and cost of AI-powered workflows
- Partner cross-functionally with Marketing, Revenue Operations, and Engineering teams to translate business requirements into scalable AI applications
Benefits
- Ability to work remotely, with office setup reimbursement
- Competitive salary
- Unlimited PTO
- Paid holidays and sick time
- Health, vision, and dental insurance
- Life, short and long-term disability insurance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
