Technical Program Manager

Stack

Responsibilities

• ▹Own end-to-end delivery of enterprise AI deployments: scope, timeline, budget, quality, risks, and dependencies
• ▹Lead implementations from SOW kickoff through design, integration, UAT, production go-live, and hypercare
• ▹Drive execution across cross-functional delivery pods (Forward Deployed Engineers, Agent Architects, partner teams)
• ▹Maintain project governance: project plans, RAID logs, milestone tracking, risk management, change requests, escalation handling
• ▹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
• ▹Coordinate technical delivery across integrations, infrastructure, environments, testing, and deployment readiness
• ▹Partner with Product, Sales, Solution Engineering, and Support to ensure smooth customer execution
• ▹Apply Agile, Waterfall, or Hybrid methodologies based on customer needs
• ▹Mentor junior TPMs and help establish scalable delivery best practices

Requirements

• ▹3+ years of experience in technical program management, enterprise software delivery, consulting, or customer implementations
• ▹Proven experience leading complex enterprise deployments with multiple stakeholders and cross-functional delivery teams
• ▹Strong technical credibility, comfortable discussing integrations, APIs, infrastructure dependencies, and implementation trade-offs
• ▹Experience managing enterprise programs across Agile, Waterfall, and Hybrid delivery methodologies
• ▹Strong stakeholder management and executive communication skills
• ▹Highly organized, execution-oriented, comfortable in fast-paced, ambiguous environments
• ▹Strong ownership mindset, proactively drives issues to resolution

Nice to have

• ▹Experience with conversational AI, LLMs, or enterprise AI deployments
• ▹Exposure to 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 delivery process optimization

Soft skills

What we offer

• ▹On-Target Earnings (OTE) of $120,000–$140,000 USD/year, base salary plus performance-based variable component, plus an equity package

About the company

Parloa's mission is to make every customer conversation feel effortless for both customers and the companies serving them. Using agentic AI, it has powered over one billion interactions for global brands such as Booking.com, Allianz, SAP, BarmeniaGothaer, and TUI.