Lead / Principal Forward Deployed Engineer - Control-M AI

Control-M orchestrates the application, data, and AI workflows that the world’s largest enterprises depend on, and we are building generative and agentic AI into every stage of that lifecycle — designing, building, running, troubleshooting, and remediating workflows. Shipping AI capabilities is only half the job. The other half is making them work, and stick, at customers who run their most critical business processes on Control-M.

As a Forward Deployed Engineer (FDE) in Control-M Product Management, you will embed with a small set of strategic customers and design partners, get Control-M’s AI capabilities running in their real environments, and bring back the evidence that shapes what we build next. You will write code, build workflows, and stand up integrations. Your success will be measured on adoption, on customer outcomes, and on the product changes your insights drive.

Think of it as a product manager with an engineer’s toolkit. You will go deep with a few lighthouse customers, working side by side with the product managers, architects, and R&D leaders who own the Control-M roadmap.

What You’ll Work On

Depending on customer priorities and your strengths, you will take Control-M AI capabilities from first conversation to production use in areas such as:

• AI operations & remediation — the Jett AI assistant, AI Execution Insights, and AI-driven troubleshooting and root-cause analysis
• AI-assisted workflow design — natural-language workflow creation with AI Workflow Creator and AI Pilot for Planning
• Agentic orchestration — orchestrating AI agents and LLM pipelines (for example, LangGraph and Amazon Bedrock AgentCore) alongside the application and data workflows customers already run
• Data orchestration & assurance — reliable pipelines across modern data platforms, with Data Assurance validating data quality as it moves
• AI governance & enterprise controls — guardrails, auditability, access control, and human-in-the-loop approvals
• Integrations & Jobs-as-Code — the Control-M Automation API, CI/CD pipelines, and custom integrations with customer systems

Here is how, through this role, you will contribute to BMC’s and your own success:Customer Discovery & AI Adoption

• Embed with strategic Control-M customers and design partners to understand their workflows, operating models, and the business outcomes that matter most.
• Run hands-on discovery workshops to identify high-value AI use cases, and agree on measurable success criteria before work starts.
• Diagnose what is holding back AI adoption — technical gaps, security and compliance concerns, process friction, or trust — remove those blockers, and take customers from pilot to production.

Build & Deploy

• Prototype and deliver working solutions fast: configure Control-M AI capabilities, define workflows as code, and write the integrations and scripts (Python, REST APIs) that connect them to customer systems.