
Senior Technical Program Manager
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Take ownership of the complete delivery process encompassing scope, timeline, budget, quality, risks, and dependencies for enterprise AI implementations.
• Guide implementations from the Statement of Work (SOW) kickoff through design, integration, user acceptance testing (UAT), production go-live, and hypercare.
• Propel execution across cross-functional delivery teams that include Forward Deployed Engineers, Agent Architects, and partner organizations.
• Uphold project governance through project plans, RAID logs, milestone tracking, risk management, change requests, and escalation management.
• Actively identify delivery risks, resource limitations, and implementation hurdles while fostering alignment among stakeholders.
• Function as the main delivery contact for enterprise customer stakeholders, including executive sponsors and technical leaders.
• Convert business objectives into structured implementation plans with defined ownership, milestones, and success criteria.
• Facilitate governance meetings, executive updates, steering committees, UAT reviews, and discussions regarding go-live readiness.
• Handle customer escalations and sustain delivery momentum across intricate, high-visibility programs.
• Collaborate closely with Engagement Management after go-live to aid in long-term adoption and expansion opportunities.
• Oversee technical delivery across integrations, infrastructure, environments, testing, and deployment readiness.
• Work alongside Product, Sales, Solution Engineering, Support, and Deployment Strategists to guarantee seamless customer execution.
• Assist in pre-sales activities such as delivery scoping, resource estimation, SOW reviews, and implementation risk assessments.
• Manage co-delivery execution with System Integrators (SIs), Global System Integrators (GSIs), Business Process Outsourcers (BPOs), and external implementation partners.
• Ensure that technical and operational dependencies align across all delivery workstreams.
• Utilize Agile, Waterfall, or Hybrid methodologies according to customer requirements and implementation complexity.
• Promote consistency across delivery governance, implementation standards, documentation, runbooks, and operational processes.
• Ensure compliance, security, and data governance requirements are integrated into delivery planning.
• Mentor junior Technical Program Managers (TPMs) and assist in establishing scalable delivery best practices across the organization.
• Over 6 years of experience in technical program management, enterprise software delivery, consulting, professional services, or customer implementations.
• Demonstrated experience leading complex enterprise deployments involving integrations, multiple stakeholders, and cross-functional delivery teams.
• Strong technical credibility and comfort in discussing integrations, APIs, infrastructure dependencies, and implementation trade-offs.
• Experience managing enterprise programs using Agile, Waterfall, and Hybrid delivery methodologies.
• Exceptional stakeholder management and executive communication abilities with the skill to influence alignment among technical and business teams.
• Highly organized, execution-focused, and adept at operating in fast-paced, ambiguous environments.
• Strong ownership mentality with the capability to proactively resolve issues and maintain delivery momentum.
• Experience mentoring junior team members or assisting in the establishment of scalable delivery processes and governance standards.
• Background in conversational AI, large language models (LLMs), or enterprise AI deployments.
• Familiarity with CCaaS platforms, APIs, or enterprise integrations such as Genesys, Five9, NICE, or Avaya.
• Experience supporting pre-sales scoping, SOW development, resource estimation, or delivery planning.
• PMP, Scrum Master, Agile, or related certifications.
• Experience working with SIs, GSIs, BPOs, or multi-region enterprise delivery programs.
• Passion for AI tooling, operational excellence, and optimizing delivery processes.
• Performance-based variable component as part of on-target earnings (OTE).
• Equity package.
• Equal opportunities regardless of race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background, and other characteristics.
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