The Team:

The Celonis Value Engineering (VE) team is focused on managing the entire customer value lifecycle, from sales through value realization, renewal and expansion. As a Manager, Value Engineer - Public Sector, you will lead a dynamic team who come from a variety of backgrounds to identify, frame and deliver value to our customers.

The Role:

As a Manager, Value Engineering - Public Sector you will lead a team of Value Engineers and drive end-to-end customer value journeys, landing and expanding existing customers (ACV growth) and renewals (renewal rate). You will work closely with the Celonis GTM Leadership Teams and be responsible for the end-to-end value journey for all customers within your region/vertical, supporting customers to achieve their strategic goals and realize significant value using Celonis Process Intelligence Platform. You are a trusted advisor to the Celonis Executive Team, supporting their engagements with strategic customers and senior stakeholders. 

As a leader in one of the fastest-growing tech companies globally, you will bring together deep process and industry knowledge with a proven pre-sales and consulting skill set and the capability to bring AI to the Public Sector through the Celonis Process Intelligence platform. You’ll spearhead our mission to make processes work in the public sector - for citizens, government agencies and the planet, creating efficient, resilient processes which will shape a modern, citizen-oriented state

You will foster a positive and supportive work environment for your teams, promoting employee satisfaction and career growth.

The work you’ll do:

Identify & Frame Value For Prospects/Customers

• Own the end-to-end customer value journey, including responsibility for landing, expanding, adoption and renewing accounts
• Translate customers’ strategic objectives into high-impact Celonis use cases and evangelize Process Intelligence across prospects and customers
• Communicate the value opportunity and strategic roadmap to C-Level executives in partnership with sales leadership and Celonis executives
• Serve as an executive sponsor across the customer portfolio and solidify Celonis as a strategic business transformation platform for our customers

Create & Scale Value Across The Portfolio

• Lead customers through the Celonis Value Journey, support the deployment of new features, apps, and products across the customer base, and advance strategic growth programs in pursuit of value creation
• Ensure customer success and architect improvement measures and manage change within the customer base, while pioneering new methodologies within Celonis’ Value Engineering organisation
• Direct Celonis Value Engineering, Services and Ecosystem resources through the Celonis Customer Value Journey, creating durable value for our customers 
• Take ownership and build strategic customer relationships as an executive sponsor
• Host QBRs (Quarterly Business Reviews) and EBRs (Executive Business Reviews) to communicate results and realized value to senior management and C-level executives

Grow & Lead Celonis Talent

• Recruit the next-generation of Celonis Value Engineers, while setting a high-standard for candidate excellence
• Develop world-class talent through hands-on engagement, continuous feedback, and active mentorship 
• Lead by example and consistently demonstrate the Celonis Leadership Principles (lead with purpose, facilitate greatness, embrace difference, and cultivate balance)
• Effectively allocate Celonis resources to deliver on company sales, renewals, value,  and adoption targets 
• Communicate success and risks proactively within the organization 

The qualifications you need:

• Domain Expertise: Demonstrate your business domain expertise, such as in Finance or Supply Chain as well as experience in strategic transformation initiatives (e.g. Shared Services Transformation or System Transformation) and ability to build a compelling value roadmap for the customer
• Industry Expertise: Demonstrate a deep understanding of industry trends in the Public Sector and Government Agencies and the strategic challenges of the department Leaders and C-Suite 
• Product Expertise: Experience with guiding customer’s IT teams throughout their Celonis Process Intelligence journey, demonstrating hands-on the power of Process Intelligence and proven ability to accelerate value realization by building dashboards, Apps, Action Flows
• Project Management: Plan and manage project scope, expectations and timelines. Leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating results to stakeholders and management, both internally and externally.
• Value Selling Methodology: Demonstrate experience of following the Celonis value selling methodology alongside the customer journey: including discovery, qualification, value assessment and PoV’s, and demonstrate the full value potential of Celonis Process Intelligence
• Value Realization: Proven track record of identifying and prioritizing use cases, implementing improvement measures and becoming a change agent for the customer by establishing an operating model and training users for the customer to realize value and renew/expand their subscription with Celonis
• Sales & Commercial Acumen: Demonstrate ability to qualify all VE engagements, do discovery with customers directly, steer/allocate resources efficiently, and champion our value selling methodology with our customers.
• Leadership Skills: Proven ability to lead by example, including being on the front line with your teams, hands-on in all aspects and a role model for the organization. 
• Communication Skills: Native or near-native fluency in English and German (written and verbal)

At JetBrains, code is our passion. Ever since we started, back in 2000, we've been striving to make the strongest, most effective developer tools on earth. Today, AI-powered coding agents are becoming a core part of how developers write Kotlin – and we want to make sure they write it well.

The Kotlin AI Value Stream team is responsible for how AI agents understand, generate, and improve Kotlin code across all platforms: Android, Kotlin Multiplatform, server-side, web, desktop, and others. We build the evaluation infrastructure, error analysis tools, and post-training pipelines that measure and improve agent behavior on real Kotlin developer tasks.

As a Research Engineer on this team, you'll own the end-to-end loop: Analyze how agents fail on Kotlin → build evals that capture those failures → research and implement methods to fix them → measure the improvement. Your work will directly shape how millions of developers experience Kotlin through AI coding agents.

As part of our team, you will:

Build tools for agentic error analysis

• Design and implement tooling to systematically capture, classify, and analyse errors that AI coding agents make when generating Kotlin code.
• Build observability pipelines over agentic traces – mining patterns from agent sessions in JetBrains IDEs, Junie, Claude Code, Cursor, and other coding agents.

Build evaluation pipelines

• Design, implement, and maintain evaluation pipelines that measure Kotlin code generation quality across dimensions, including correctness, idiomaticity, build success, framework usage, and test coverage.
• Build simulation environments where coding agents can be measured on realistic Kotlin developer tasks – from greenfield KMP projects and Gradle dependency management to migrating Spring applications from Java to Kotlin.
• Own evaluation infrastructure: metrics, experiment tracking, automated regression checks, and reproducible benchmarking.

Research methods for improving agent and model behavior on Kotlin

• Experiment with post-training techniques (SFT, DPO, GRPO) to improve how models handle Kotlin-specific patterns, idioms, and frameworks.
• Investigate context engineering approaches: CLAUDE.md/AGENTS.md files, compiler-as-verifier feedback loops, Kotlin LSP integration, and MCP-based tooling.
• Run experiments to measure impact: A/B comparisons, benchmark suites, and before/after analyses on real codebases.
• Collaborate with model providers (Anthropic, OpenAI, and Google) to translate Kotlin-specific findings into model improvements.

Build public Kotlin benchmarks

• Design and build open-source benchmarks that measure AI coding agent performance on Kotlin tasks and eventually become the standard reference for the ecosystem.
• Create task datasets covering the breadth of Kotlin usage: the server side (Spring, Ktor), multiplatform projects (KMP), build systems (Gradle), Android, library development, and others.
• Include both mined real-world tasks and carefully designed synthetic tasks that test specific Kotlin capabilities.
• Maintain and evolve benchmarks as models improve, ensuring they remain challenging, relevant, and contamination-resistant.

We'll be happy to have you on board if you have:

• Hands-on experience building evaluation or analysis pipelines for LLMs or AI coding agents in a research or production setting.
• Strong Python engineering skills (at least three years), with the ability to write clean, maintainable code in data-heavy and ML-adjacent codebases.
• Experience with data analysis at scale: querying large datasets (SQL/Athena), building data pipelines, and performing statistical analysis of experimental results.
• The ability to own projects end to end – from identifying a problem in agent traces to designing an eval, running experiments, and shipping a fix.
• A product-aware mindset: You care about how agents are actually used by developers and can translate real failure modes into evaluation and training work.
• Familiarity with Kotlin or a strong willingness to develop deep Kotlin expertise (you'll be living in Kotlin codebases daily).

Our ideal candidate would also have experience with:

• Post-training LLMs: SFT, RLHF, DPO, GRPO – either hands-on training or designing the data and reward pipelines that feed into training.
• Modern deep learning frameworks (PyTorch) and LLM training stacks (TRL, verl, Megatron, or similar).
• AI agent development: tool-using agents, multi-step coding workflows, agentic frameworks.
• Evaluation frameworks and tools: Inspect AI, Promptfoo, LM-evaluation-harness, or custom eval pipelines.
• Experiment tracking and observability: Weights & Biases, MLflow, Langfuse, or similar.
• The Kotlin ecosystem: Android, Gradle, KMP, Spring, Ktor – with an understanding of the developer workflows that agents need to support.
• Contributing to or maintaining open-source projects, especially benchmarks or evaluation tools.

Don't check every box? That's okay – if you're excited about this work and bring strong fundamentals, we'd love to hear from you. We're happy to talk and provide the training you need to grow into the role.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. 
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI