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Parloa is an enterprise AI platform powering Fortune 2000 companies with conversational AI. The Agent Management Platform (AMP) is trusted by global organizations including Booking.com, Allianz, and American Express. The company has powered over one billion interactions between global enterprise brands and their customers.
As Senior Technical Program Manager, you will lead one of Parloa's most strategic cross-organizational programs from definition through launch. This role is accountable for delivering outcomes, not coordinating activity. You will own the integrated execution plan, dependency management, launch readiness, executive communication, and decision-making mechanisms that determine whether the program succeeds.
Key responsibilities include:
- Serve as the accountable leader for one strategic cross-organizational program (or two closely related programs) with clear business impact
- Build and maintain the integrated execution plan, including milestones, critical path, dependencies, and cross-team commitments
- Drive end-to-end risk management by identifying leading indicators, removing blockers, tracking mitigations, and escalating only when executive decisions are required
- Define and continuously raise the quality bar by establishing objective launch criteria across functionality, reliability, security, and operational readiness
- Lead release readiness across Engineering, Product, Platform, Security, Legal, and Commercial teams
- Make delivery trade-offs explicit, ensuring decisions are documented and supported by clear mitigation plans
- Drive executive decision-making through concise written narratives, data, and clear recommendations
- Define and monitor delivery metrics that enable objective decisions around scope, schedule, quality, and execution risk
- Build lightweight mechanisms that improve planning, dependency management, and execution across teams
- Influence technical and organizational decisions without direct authority
This is a highly technical role. Although you won't write production code, you should be comfortable discussing architecture, rollout strategies, system dependencies, and reliability risks with senior engineers. You will challenge assumptions when delivery plans don't align with technical complexity. Enterprise customers expect reliability, security, and operational excellence—not just feature delivery.
The ideal candidate thrives in ambiguity and has successfully delivered complex technical programs across teams they did not directly manage. You are an exceptional written communicator who can simplify ambiguity for executives while earning credibility with engineers. Experience building AI products is valuable, but curiosity, learning velocity, and sound engineering judgment matter more than prior domain expertise.
Parloans are shaping the foundation of a new era in customer experience—one where customer support is no longer transactions, but meaningful exchanges. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, the company is scaling with a clear ambition to become the global category leader in enterprise-grade conversational AI.
**Requirements:**
- 7+ years of Technical Program Management experience, or equivalent experience leading large-scale technical programs with software engineering teams
- Proven experience delivering complex cross-functional programs from definition through launch across organizations you did not directly manage
- Experience leading release readiness for production systems, including defining objective launch criteria and driving launch decisions
- Strong track record of identifying delivery risk early, driving mitigation plans, and making effective escalation decisions
- Sufficient technical depth to engage credibly with senior engineers on architecture, rollout strategies, system dependencies, and engineering trade-offs
- Experience defining program metrics and using data to guide execution and executive decision-making
- Exceptional written communication skills; ability to distill complex technical situations into clear one-page narratives for senior leadership
**Nice to have:**
- Experience delivering AI, machine learning, or LLM-powered products at scale, ideally in a high-growth engineering organization
- Experience building program management mechanisms that became durable organizational practices
