Lead​/Principal Forward Deployed Engineer - Control-M AI

Country

United States

State

NA

Date Published

29-Oct-2026

Job

47737

Travel

up to 25%

This role can be based remotely in United States

BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world’s largest organizations so they can seize a competitive advantage.

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, Lang Graph and Amazon Bedrock Agent Core) 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

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.
• Design and implement agentic and LLM‑powered workflows orchestrated by Control‑M, including tool calling, retrieval, evaluation, and human‑in‑the‑loop approvals.
• Work across real customer environments — Control‑M SaaS and self‑hosted, hybrid cloud, mainframe, ERP, and data platforms — and harden…