Technical Program Manager

Korza; California; Hybrid; USD 160,000 - 230,000; Full time

Job summary

Korza is seeking a strategic and deeply technical Program Manager (TPM) to lead large-scale, multi-team AI programs and platform initiatives. You will operate at the intersection of engineering architecture and executive execution—aligning cross-functional engineering, product, and leadership teams to transform complex AI research and enterprise requirements into scalable systems.

You will establish program governance, solve architectural dependencies, and ensure engineering velocity across

Qualifications

• 8+ years as a TPM leading complex software or platform initiatives.
• Strong understanding of system architecture and cloud services.
• Hands-on experience with enterprise AI/ML solutions.

Responsibilities

• Lead cross-functional AI programs spanning multiple squads from inception to deployment.
• Identify technical risks and map dependencies across ML platform and product suites.
• Align product management, engineering, AI research, and leadership on roadmaps and milestones.
• Standardize program management frameworks, release trains, and delivery metrics.
• Mitigate risks and drive clarity in complex technical debates.
• Communicate program status and strategic risks to executives and enterprise partners.
• Drive operational excellence and velocity across the engineering organization.

Skills

TPM leadership

AI/ML infrastructure

System architecture understanding

Cross-team coordination

Executive communication

Global collaboration

Job description

We are seeking a strategic and deeply Technical Program Manager (TPM) to lead large-scale, multi-team AI programs and platform initiatives. In this role, you will operate at the intersection of engineering architecture and executive execution—aligning cross-functional engineering, product, and leadership teams to transform complex AI research and enterprise requirements into scalable systems. You will establish program governance, solve complex architectural dependencies, and ensure engineering velocity across multiple parallel product streams.

Responsibilities:

• Strategic Program Governance: Lead high-impact, cross-functional AI programs spanning multiple engineering squads, product lines, and enterprise client integrations from inception to deployment.
• Architecture and Dependency Mapping: Partner with AI architects and engineering leads to identify technical risks, untangle cross-system dependencies, and ensure seamless technical integration across our ML platform, AI control plane, and product suites.
• Cross-Organizational Alignment: Drive alignment between product management, engineering, AI research, infrastructure, security, and go-to-market leadership on long-term roadmaps, resource planning, and key milestones.
• Frameworks and Operating Cadence: Standardize program management frameworks, architectural review processes, release trains, and delivery metrics (cycle time, release predictability, system reliability) across the engineering hub.
• Risk Management and Problem Solving: Proactively mitigate technical, resource, and timeline risks across teams, stepping into complex technical debates to drive clarity, decision-making, and alignment.
• Executive Communication: Synthesize complex technical program statuses, trade-offs, and strategic risks into clear, actionable updates for executive leadership and key enterprise client partners.
• Continuous Scale and Velocity: Drive operational excellence and continuous improvement across the engineering organization, elevating overall team capability and program delivery speed.

Requirements:

• Technical Program Management: 8+ years of experience as a TPM leading complex, large-scale software, cloud-native platforms, or enterprise tech initiatives (preferably in product-first environments).
• Deep Technical Acumen: Strong foundational understanding of system architecture, cloud infrastructure, microservices, and modern SDLC practices, enabling meaningful technical conversations with principal engineers and architects.
• AI/ML and Enterprise Scale: Hands-on program experience with enterprise AI/ML solutions, GenAI infrastructure, RAG systems, or high-throughput platform architectures.
• Multi-Team Coordination: Proven ability to manage multi-track dependencies across diverse engineering teams (backend, ML, platform, frontend, QA, and DevOps) without direct authority.
• Strategic Thinking and Communication: Exceptional leadership, stakeholder negotiation, and executive presentation skills with a track record of driving clarity out of ambiguity.
• Global Collaboration: Extensive experience working with globally distributed product strategy, client engineering, and executive leadership teams.