Technical Program Manager
Parloa
| Company | Parloa |
| Category | Engineering |
| Location | New York Office |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 28 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale.
About the Role
As a Technical Program Manager at Parloa, you will lead the end-to-end delivery of enterprise Agentic AI deployments, owning execution across complex customer implementations from kickoff through go-live and hypercare. You will act as the central delivery owner across customers, internal delivery teams, and external partners, ensuring enterprise programs are delivered successfully, on time, and at scale. This is a highly cross-functional, customer-facing role where you will combine structured program leadership with technical delivery coordination, partnering closely with Forward Deployed Engineers, Agent Architects, Product, Sales, Solution Engineering, and partner organizations to drive successful enterprise AI transformations. You will also play a key role in helping scale Parloa’s delivery organization by driving operational rigor, and improving governance processes..
Areas of Ownership
Enterprise Delivery Leadership
Own end-to-end delivery across scope, timeline, budget, quality, risks, and dependencies for enterprise AI deployments
Lead implementations from SOW kickoff through design, integration, UAT, production go-live, and hypercare
Drive execution across cross-functional delivery pods consisting of Forward Deployed Engineers, Agent Architects, and partner teams
Maintain project governance across project plans, RAID logs, milestone tracking, risk management, change requests, and escalation handling
Proactively identify delivery risks, resource constraints, and implementation blockers while driving alignment across stakeholders
Customer & Stakeholder Management
Serve as the primary delivery contact for enterprise customer stakeholders, including executive sponsors and technical leaders
Translate business objectives into structured implementation plans with clear ownership, milestones, and success criteria
Lead governance meetings, executive updates, steering committees, UAT reviews, and go-live readiness discussions
Manage customer escalations and maintain delivery momentum across complex, high-visibility programs
Partner closely with Engagement Management post-go-live to support long-term adoption and expansion opportunities
Technical & Cross-Functional Coordination
Coordinate technical delivery across integrations, infrastructure, environments, testing, and deployment readiness
Partner closely with Product, Sales, Solution Engineering, Support, and Deployment Strategists to ensure smooth customer execution
Support pre-sales activities including delivery scoping, resource estimation, SOW reviews, and implementation risk assessment
Manage co-delivery execution with SIs, GSIs, BPOs, and external implementation partners
Ensure technical and operational dependencies are aligned across all delivery workstreams
Delivery Excellence & Operational Rigor
Apply Agile, Waterfall, or Hybrid methodologies based on customer needs and implementation complexity
Drive consistency across delivery governance, implementation standards, documentation, runbooks, and operational processes
Ensure compliance, security, and data governance requirements are incorporated into delivery planning
Mentor junior TPMs and help establish scalable delivery best practices across the broader organization
What Success Looks Like
Enterprise Agentic AI deployments lau
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