[Hiring] AI Engineer @Cyera

Role Description

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.

• 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

Qualifications

• 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

Requirements

• 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.

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

Compensation Information

Compensation Range: $150,000-$185,000. The range represents total compensation, and may include company bonus, incentive for sales roles, equity or benefits, as applicable. This compensation range represents Cyera’s good faith and reasonable estimate of the range of possible compensation for this role at the time of posting, and Cyera may ultimately pay more or less than the posted range. The final salary for this position will be determined in Cyera’s sole discretion, consistent with applicable law, and based on a variety of factors, including but not limited to the employee’s work experience, skills, and qualifications for the role, as well as the needs of Cyera’s business and other operational considerations. Final compensation will vary based on seniority and relevance of experience, location, and position requirements. This role may be eligible for potential merit increases based on factors such as individual or company performance, time in role, and other discretionary factors.