About the role

Role Overview

Senior Technical Delivery Lead will ensure Camunda Professional Services (PS) implementation engagements are delivered predictably by turning customer outcomes into actionable delivery plans and steering execution with technical credibility.

Responsibilities

Lead end-to-end delivery of customer implementation engagements; translate outcomes into a delivery plan covering scope, milestones, dependencies, and budget.
Keep Camunda, customer, and partner teams aligned on goals, outcomes, ways of working, and budget; maintain shared accountability.
Drive scope decomposition, estimation, and change control; make trade-offs explicit (scope/time/quality) and protect delivery commitments.
Own stakeholder communication with clear, evidence-based updates, align expectations, and drive timely decisions with customers, the Camunda Account team, and internal leadership.
Proactively identify and mitigate delivery risks (e.g., environments, integrations, NFRs, readiness) and remove blockers with technical credibility.
Capture learnings from engagements to iterate on Camunda’s Professional Services delivery excellence framework.

Requirements

3+ years experience in a (Technical) Delivery Lead or Project Management role in enterprise software / SaaS.
Demonstrated track record leading agile customer-facing PS implementations, coordinating multi-party teams on cadence and Definition of Done, delivering predictable increments/releases on time, on budget, and with high quality.
Strong communication skills to explain complex topics clearly to diverse audiences; empathy in customer interactions.
Strategic thinking and innovative problem-solving.
Strong customer success mindset; understanding how PS engagements in ARR-driven enterprise software improve retention and enable expansion.

Nice to Haves

Familiarity with software engineering, process orchestration, and automation.

About Camunda

Camunda is an enterprise platform for agentic orchestration, helping organizations coordinate AI agents, people, and systems across end-to-end business processes. It provides governance, auditability, and human oversight to safely move AI from pilots to production at scale. The company serves enterprises worldwide across regulated and complex operational workflows.