Engineering Operations & Technical Program Management

About Sybal Corp: Sybal Corp is building the world's first governance-focused AI infrastructure platform through its Proof of Governance® (PoG™) platform. We serve defense, government, and highly regulated commercial organizations that require governance intelligence, oversight, and audit readiness. Position Overview: The Engineering Operations & Technical Program Management serves as the bridge between executive leadership and the engineering organization. This role is responsible for engineering accountability, project execution, technical oversight, roadmap delivery, and alignment between business objectives and technical implementation. This position oversees engineering execution, validates technical work, manages project delivery, and ensures developers, DevOps engineers, QA engineers, and AI/ML engineers remain accountable for timelines, quality, and outcomes. Primary Responsibilities: • Lead day-to-day engineering operations and project execution. • Manage engineering schedules, priorities, and sprint planning. • Review engineering deliverables for completeness and quality. • Evaluate technical designs and implementation approaches. • Translate business requirements into technical requirements. • Serve as the primary liaison between founders and engineering teams. • Hold engineers and contractors accountable for commitments and deadlines. • Manage offshore and domestic technical resources. • Coordinate work across Software Engineering, DevOps, QA, and AI/ML teams. • Track project risks, dependencies, and milestones. • Establish engineering KPIs and reporting processes. • Support technical due diligence discussions with investors and partners. Required Qualifications: • 8+ years of software engineering experience. • 3+ years leading engineering teams or technical projects. • Strong understanding of AWS, cloud architecture, APIs, DevOps, and modern software development practices. • Experience managing Agile/Scrum development teams. • Experience with Jira, GitHub, Azure DevOps, or similar tools. • Ability to evaluate code quality, technical designs, and engineering estimates. • Experience managing remote and distributed engineering teams. • Excellent communication skills. Preferred Qualifications • Startup leadership experience. • Experience with AI, AI Dev Automation (Claude, Open AI), Machine Learning, and NLP platforms. • Experience supporting government, defense, or regulated industries. • Experience with FedRAMP, CMMC, SOC 2, or NIST environments. • PMP, Scrum Master, or Agile certifications. What Success Looks Like: • Increased engineering accountability. • Improved visibility into project status and delivery timelines. • Better communication between leadership and engineering teams. • Improved release quality and predictability. • Reduced technical debt and project execution risk. • Scalable engineering processes supporting company growth.