- Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
- Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
- Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.
Rossum joined Coupa earlier this year. We brought the document understanding layer - our proprietary T-LLM (transactional LLM) architectures, which we design and train from scratch, and which read the world's messiest business documents in production, millions of them every week. Now we are pointing the same in-house research capability at a much bigger problem: not just reading the documents, but acting on them.
About the RoleSourcing is where the money is actually decided.We are expanding our AI Platform team in Prague with a Senior AI Platform Engineer to work on a Sourcing problem set – which suppliers get invited. How the event is structured. How bids that differ in price, lead time, quality, risk and carbon get compared at all. What a fair price even is. When to award, to whom, and how to split the award across suppliers. How to do auctions and autonomous bidding.
This broad problem set will not be solved by a single model. Solutions might come from a diverse set of fields
- Recommendation and retrieval
- Game theory
- Forecasting and should-cost modelling
- Combinatorial optimization
- Multimodal document understanding etc.
You will collaborate with researchers to implement these heterogeneous workloads in a scalable production platform in the cloud. At the same time, you will design and develop infrastructure for dataset export, model training, and evaluation to allow Research to move fast.
You will work in a small, senior team of engineers - the group that built Rossum's production inference pipeline from scratch - with direct access to Product and the AI Research team. Ideas that work do not sit on paper; they roll into systems used at scale.
What You’ll Do
- Design, build, and maintain a scalable, reliable, and cost-effective AI platform in the cloud.
- Collaborate with Research to understand model requirements and translate them into scalable infrastructure.
- Improve data pipelines, feature storage, experiment tracking, and model lifecycle workflows.
- Build tooling that accelerates experimentation, benchmarking, and reproducibility.
- Implement monitoring, observability, and reliability improvements across AI services.
- Participate in architectural discussions and contribute to long-term platform strategy.
- Partner with Product, Research, and other engineering teams to align platform capabilities with product needs.
- Maintain clear documentation and support knowledge-sharing across R&D.
What You Will Bring to Coupa
- 5+ years of experience in product-minded software engineering, ML platform engineering, or infrastructure roles
- Proven track record of delivering ML solutions that drive measurable business and customer impact.
- Strong programming experience in a language suitable for ML such as Python
- Understanding of distributed systems, microservices, and cloud-native architectures.
- Experience with SQL databases (query optimization, database performance tuning, and schema design).
- Experience with ML tooling (e.g., experiment tracking, model registries, data pipelines).
- Strong problem-solving skills and ability to work in cross-functional R&D environments.
- Solid understanding of CI/CD, infrastructure-as-code, and observability tooling.
- Internal communication in English as a default.
- Experience with training or serving AI/ML models at scale.
- Experience with building scalable, automated ETL/ELT pipelines and maintaining robust database architectures (SQL/NoSQL).
- Familiarity with data annotation workflows and dataset management.
- Experience with GPU workloads, batch/stream processing, or feature stores.
- Exposure to Intelligent Document Processing or Deep Neural Network architectures. Our Stack
We try to keep our stack standardized and minimal: Python, RabbitMQ, S3, Postgres, Triton Inference Server. All deployed with Kustomize and Flux to a Kubernetes cluster in AWS.
- We train and deploy our own models: Proprietary T-LLM architectures, designed and trained in-house – not a wrapper around someone else's API.
- Transaction volume that brings interesting scaling challenges in the cloud.
- Real ownership, short path to customers: You frame the problem, choose the method, and see it working in front of buyers – no research-to-product handoff.
- Global impact: Technology used every day by companies around the world.
- Experiment-driven culture: Pragmatic delivery, and quarterly recognition for standout research contributions.
- Compute and tools: Frontier LLMs on tap for your own work, and our high-end GPU and large-memory clusters to train on.
- 33 days off: PTO, personal days, your birthday and two company wellness days. Parental leave on top.
- Prague, Karlín: Inspiring workspace and full tech setup, including a 200 m² terrace with views of Prague Castle.
- Global Wellness Days: Enjoy two designated, company-wide paid wellness days off each year (typically the first Friday in March and the last Friday in September) so the entire global team can unplug, step away, and recharge together .
- Birthday Time-Off: Celebrate your day! Coupa provides a paid day off on your birthday or another day of your choice within your birthday month .
- Volunteer Time Off (VTO): Giving back is in our DNA. We offer 40 hours of paid VTO annually to support the community initiatives and volunteer programs you are passionate about .
- Employee Assistance Program (EAP): Access free, confidential, 24/7/365 counseling and resources for emotional support, work-life solutions, financial advice, legal guidance, and support for new parents .
- Business Travel Protection: Travel with peace of mind. Zurich Travel Assist provides medical, safety, pre-trip planning, and emergency support during any business travel .
- Referral Bonus Program: Share the Coupa experience! Receive generous monetary referral bonuses when you successfully refer talented friends or acquaintances who are hired into open roles .
Skills Required
- 5+ years of experience in product-minded software engineering, ML platform engineering, or infrastructure roles
- Proven track record delivering ML solutions with measurable business and customer impact
- Strong programming experience in Python or another language suitable for machine learning
- Understanding of distributed systems, microservices, and cloud-native architectures
- Experience with SQL databases, including query optimization, database performance tuning, and schema design
- Experience with ML tooling, such as experiment tracking, model registries, and data pipelines
- Strong problem-solving skills and ability to work in cross-functional R&D environments
- Understanding of CI/CD, infrastructure as code, and observability tooling
- Ability to communicate internally in English
- Experience training or serving AI/ML models at scale
- Experience building scalable automated ETL/ELT pipelines and maintaining SQL or NoSQL database architectures
- Familiarity with data annotation workflows and dataset management
- Experience with GPU workloads, batch or stream processing, or feature stores
- Exposure to intelligent document processing or deep neural network architectures
What the Team is Saying
Coupa Compensation & Benefits Highlights
-
Healthcare Strength — Coverage includes medical, dental, and vision for employees and dependents starting Day 1, and plan quality is often characterized as good to very good. Mental‑health and employee‑assistance resources further bolster the offering.
-
Leave & Time Off Breadth — Flexible/unlimited-style time off, floating holidays, and 40 hours of paid volunteer time are highlighted across locations. These policies are frequently cited alongside strong overall PTO usability depending on role and workload.
-
Parental & Family Support — Paid parental leave and family-support resources (e.g., adoption, surrogacy, and back-to-work assistance) are explicitly included. Recent examples reference multi‑month leave durations for new parents.
Coupa Insights
What We Do
Coupa is a global technology company that helps businesses run smarter by connecting all the ways they spend money — from procurement and expenses to payments and supply chain decisions — in one intelligent platform. In simple terms, Coupa gives organizations the visibility and control they need to make better financial choices, reduce waste, and drive real impact. It’s where technology meets purpose: helping companies manage their resources more responsibly while creating a positive ripple across their people, partners, and the planet.
Why Work With Us
At Coupa, we prioritize an inclusive and empathetic workplace where every voice is valued. Our teams are proactive and accountable, ensuring we collaborate effectively to achieve our goals. The foundation of our culture rests on our people; we believe in fostering an environment that encourages innovation and curiosity.
Gallery
Coupa Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Our virtual-first approach is intentional. It gives you the freedom to do your best work in a space that supports focus, balance, and creativity, while staying connected to a global team of changemakers who are redefining the future of business spend
