Program Manager Jobs

About The Position

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 10+ years of progressive technical program management experience, including leadership of complex multi-team, multi-vendor technology initiatives and successful delivery of AI/ML solutions into production.
• Experience leading large-scale technical programs with Director-level scope, including accountability for product launches, operational readiness, business outcomes, and delivery performance.
• Expertise in program planning, cross-functional dependency management, milestone tracking, risk mitigation, resource coordination, and execution across engineering and product teams.
• Strong understanding of AI/ML development and deployment lifecycles, including model dependencies, evaluation frameworks, data readiness, agentic AI systems, and production release requirements.
• Ability to interpret technical architecture documentation, evaluate engineering estimates, and engage with senior engineers and architects on complex technical delivery challenges.
• Experience establishing and managing production readiness reviews, technical acceptance criteria, stage-gate processes, and evidence-based launch decisions.
• Experience managing external technology vendors, contractual delivery obligations, technical acceptance requirements, and multi-vendor integration programs.
• Experience leading structured knowledge transfer, operational transition, and partner-to-internal-team capability development initiatives.
• Proficiency in technical program management methodologies, tools, and reporting frameworks, including dependency mapping, delivery tracking, risk management, and executive-level performance reporting.
• Experience using technical telemetry, engineering metrics, and delivery data to evaluate program health, validate progress, and support fact-based decisions.
• Exceptional written and verbal communication skills, including executive-ready presentations, concise program updates, escalation memoranda, and actionable recommendations.
• Strong stakeholder management, negotiation, and influencing skills, with the ability to drive accountability and results without direct reporting authority.
• Experience working with globally distributed engineering teams, external partners, and enterprise stakeholders across time zones and organizational structures.
• Success in fast-paced, evolving, or early-stage technology environments while establishing scalable processes within larger enterprise organizations.
• Excellent analytical thinking, problem-solving, prioritization, and decision-making skills, including the ability to anticipate challenges, resolve ambiguity, and manage competing priorities.
• Proficiency in using AI-assisted and agentic tools to improve program management efficiency, accelerate execution, and enhance delivery outcomes.
• No professional certifications or licenses are required.

Nice To Haves

• Advanced degree preferred.

Responsibilities

• Lead integrated program execution across AI product management, engineering, platform operations, global delivery teams, and external partners, aligning priorities, timelines, deliverables, and business objectives.
• Develop and maintain program plans, dependency maps, milestones, and schedules for platform development, data pipelines, vendor integrations, security reviews, and production deployments.
• Establish and manage program governance, decision-making forums, escalation protocols, and delivery standards.
• Coordinate and validate production readiness requirements, including engineering evaluations, performance evidence, platform telemetry, security reviews, and acceptance criteria.
• Coordinate delivery with external partners and vendors, track contractual milestones, validate integration requirements, and ensure deliverables meet technical standards and acceptance criteria.
• Manage partner-to-internal-team knowledge transfer and operational transition through defined shadowing, pairing, leadership, and ownership milestones.
• Collaborate with engineering leaders, enterprise architects, product managers, and data platform teams to evaluate dependencies, challenge assumptions, assess estimates, and address delivery risks.
• Create executive-level program updates, steering committee materials, quarterly business review presentations, escalation memoranda, and decision recommendations.
• Coordinate U.S. and India engineering teams, enterprise technology, the Enterprise Transformation Office, People Solutions, and other stakeholders.
• Build and improve program management tools, processes, reporting mechanisms, and operating cadences to support growth, efficiency, and consistent delivery.
• Participate in special projects and perform other duties as assigned to advance the firm's AI strategy and business priorities.

Benefits

• Comprehensive compensation and benefits package offered to eligible employees.