Accountabilities:

Define and own the engineering strategy and technical roadmap for the Incentive Compensation Management (ICM) product, ensuring alignment with business priorities, customer requirements, and long-term platform objectives.
Lead the evolution of the product toward AI-native capabilities, identifying opportunities to integrate artificial intelligence into compensation plan design, calculations, payout workflows, and other customer-facing processes.
Establish robust quality assurance, testing, and evaluation frameworks to ensure AI-powered features deliver reliable, accurate, and trustworthy customer outcomes.
Oversee the development and scaling of complex enterprise systems where calculation accuracy, data integrity, performance, and reliability are critical.
Guide architectural decisions and technical investments, balancing development speed with scalability, maintainability, infrastructure resilience, and long-term product quality.
Recruit, develop, mentor, and inspire engineering managers and senior technical leaders, building a high-performing organization capable of delivering ambitious product and technology objectives.
Design and evolve engineering team structures, responsibilities, ownership models, and operating processes as the product and organization mature.
Foster a strong engineering culture centered on accountability, technical excellence, innovation, delivery velocity, and continuous improvement.
Maintain sufficient technical involvement to identify architectural risks, challenge assumptions, guide critical decisions, and ensure engineering standards remain consistently high.
Establish clear priorities and alignment across Engineering, Product, Design, and Go-to-Market teams to ensure coordinated execution and successful product delivery.
Make strategic trade-offs and remove organizational or technical obstacles, enabling teams to move efficiently while maintaining high quality standards.
Build strong partnerships with executive leadership and cross-functional stakeholders, translating technical strategy into business impact.
Identify opportunities to improve engineering productivity through AI-powered development tools, automation, and modern engineering practices.
Oversee operational reliability and participate in the escalation and support framework for critical production issues, including the required after-hours on-call rotation.

Requirements

At least 15 years of professional software engineering experience, including 6 or more years leading engineering managers and multi-team engineering organizations.
Proven track record of building, scaling, and leading high-performing engineering teams within complex technology environments.
Demonstrated experience owning software products end to end, from technical strategy and architecture through development, deployment, and ongoing optimization.
Strong experience scaling enterprise software systems while maintaining high standards of reliability, performance, security, and maintainability.
Hands-on experience delivering AI- and machine learning-powered product capabilities, ideally involving Large Language Models (LLMs).
Understanding of AI product evaluation, quality measurement, monitoring, and continuous improvement to ensure trustworthy customer-facing functionality.
Experience applying AI to improve engineering productivity, development workflows, or organizational efficiency is an advantage.
Strong technical expertise across software architecture, infrastructure, system reliability, scalability, and developer experience.
Ability to provide strategic technical direction while maintaining sufficient technical depth to engage effectively with engineers and challenge complex architectural decisions.
Proven ability to collaborate closely with Product and Design teams, prioritizing customer outcomes and business value beyond purely technical objectives.
Strong organizational leadership skills, including experience developing managers, establishing clear ownership, and adapting team structures to evolving business requirements.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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