Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

The Team

The Feature Team is at the forefront of building and scaling enterprise-grade AI and machine learning capabilities that power complex, data-driven decisions. Working with massive datasets and supporting hundreds of enterprise customers, our engineers tackle challenging problems in distributed computing, high-performance APIs, and large-scale data processing. The team plays a critical role in transforming sophisticated AI/ML technologies into reliable, scalable product capabilities that deliver real business impact.

The Role

Build and scale backend product features and cloud-based services. You will contribute to distributed systems, performance, reliability, and the operational readiness of internal and user facing platform services.

The work you’ll do

Design and develop product features aligned with the product and engineering roadmap.
Build platform capabilities that enable AI agentic workflows, such as tool-calling APIs, workflow orchestration, and the observability and guardrails needed for agents in production.
Scale APIs and workflows grounded in contemporary principles in scalable and robust distributed systems. .
Design with fault-tolerance, high-availability, performance, and scalability in mind.
Ensure platform services are operationally ready and meet customer service-level commitments.
Collaborate with teammates and contribute to code reviews and knowledge sharing.

The qualifications you need

3+ years of industry experience building distributed systems, cloud-based API services, or enterprise cloud data platforms.
Strong computer science fundamentals and proficiency in Python.
Experience developing reliable, enterprise-grade software or services.
Experience with SQL and databases such as PostgreSQL, DynamoDB, or Amazon RDS.
Preferred experience with distributed computing frameworks for machine learning workloads; familiarity with Ray is a plus.
Ability to collaborate in a team and mentor engineers through the SDLC.
Familiarity with data warehouse or data lake architecture and large-scale data processing.

Visa sponsorship is not offered for this role.

The base salary range below is for the role in the specified location, based on a Full Time Schedule.

Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.

The base salary range below is for the role in Massachusetts, based on a Full Time Schedule.

$134,000—$158,000 USD

What Celonis can offer you

Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.