Pandas Jobs in Poland.
All active Pandas roles based in Poland.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Product Analyst, Donor Portal
Share this job
Highlights:
Location: Poland, Remote
Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We’re looking for a Product Analyst to join the Donor Portal (Donor Experience) team. The Donor Portal team owns the post-donation experience – everything that happens after a donor completes a donation. The team focuses on reducing churn and increasing subscription LTV by improving subscription management within the donor portal (pauses, amount changes, skipping charges, etc.), as well as enhancing donor communications via email.
What You’ll Do
- Run A/B tests
- Identify insights in data, conduct research, and help product teams uncover growth opportunities.
- Work with retention rate and subscription/supporter LTV metrics.
- Design and build data marts.
- Develop and maintain BI dashboards.
- Handle ad-hoc requests from product teams.
Requirements
- 5+ years of professional experience as a Data Analyst or Product Analyst.
- A strong foundation in mathematical statistics and probability theory.
- Advanced proficiency in SQL.
- Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
- Hands-on experience with BI tools (Tableau, Power BI, Metabase).
- Strong written English for clear documentation and communication.
- A proactive, detail-oriented mindset with a passion for solving complex problems.
Our Tech Stack
- Languages & Libraries: Python
- Databases: ClickHouse, MongoDB, PostgreSQL
- BI & Visualization: Tableau, Grafana
- Orchestration: Airflow
- Version Control: Git
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior ML-Engineer, Finance
Share this job
Highlights:
Role: Senior ML-Engineer, Finance
Location: Poland, Remote
Language: Strong English required (C1)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.
This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.
What You’ll Do
- Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
- Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
- Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
- Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
- Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
- Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
- Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
- Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.
Challenges You'll Navigate
- At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
- A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
- All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
- Proven experience with large-scale web scraping and data pipeline construction
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
- Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production
Our Tech Stack
Core: Python (uv, ruff), FastAPI, Pydantic, Docker
Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)
Data: ClickHouse, MongoDB, pandas, Polars, Redis
MLOps: MLflow, Airflow
Monitoring: Grafana, Sentry
Infra: linux server admin, distributed computation
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior ML-Engineer
Share this job
Highlights:
Role: Senior ML-Engineer
Location: Poland, Remote
Language: Russian-speaking team; Strong English required (B2)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We're looking for an ML Engineer with 5+ years of production experience to strengthen our ML team. We operate as an internal service and centre of excellence for 10+ product teams at Fundraise Up. This means you won't be tied to a single feature: one day you might be optimising donation amounts and upsell offers, and the next you could be building a smart assistant for the admin panel or working on transaction classification.
We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions — prompt engineering and pipeline design with LLM APIs (OpenAI and equivalents). That's why we're looking for someone with a broad mindset who isn't afraid to experiment and can choose the most effective approach for each task.
The project's main audience and business team are based in the US. Although the product development team is Russian-speaking, you may occasionally need to write in English.
What You’ll Do
- Develop and deploy ML solutions across different business areas using tabular data (uplift models, recommender systems). We are also actively developing projects that will involve e-commerce mechanics.
- Select the most appropriate ML/LLM approaches or propose alternative solutions.
- Build end-to-end ML solutions: data preparation, training, API development, and monitoring.
- Design prompts and LLM API-based pipelines for specific product tasks: classification, content generation, and response quality evaluation.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting); NLP knowledge is a plus
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach to development; we value clean code, knowledge of design patterns, and solid engineering practices
- Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production
Our Tech Stack
Core: Python (uv, ruff), FastAPI, Pydantic, Docker
Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)
Data: ClickHouse, MongoDB, pandas, Polars, Redis
MLOps: MLflow, Airflow
Monitoring: Grafana, Sentry
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Product Analytics Team Lead, New Products
Share this job
Highlights:
Location: Poland, Remote
Language: Russian-speaking team; Strong English required (B2)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We’re looking for a Team Lead to join our Product Analytics team for the New Products direction. The New Products direction is our “internal incubator,” responsible for the company’s future revenue. We don’t just improve existing products — we launch entirely new business verticals from scratch.
Currently, we have three key focus areas:
1. P2P (Peer-to-Peer): Building tools for mass fundraising events and marathons (a market with $8M+ ARR potential).
2. Tap-to-Pay & Kiosks: Enabling offline donations via smartphones and physical terminals.
3. Major Donors: Leveraging AI to identify and engage high-value donors.
At the moment, the team consists of one analyst who has already started working on the P2P product.
What You’ll Do
- Act as a right hand to product leads (PMs): help define success criteria for pilots and evaluate whether new products gain traction
- Build analytics from scratch: design data collection systems and ensure reliability monitoring from day one
- Evaluate the performance of new product launches
- Lead and grow the team: mentor team members, run 1:1s, and establish processes in a fast-growing function, as well as plan the roadmap and oversee execution and timelines
Requirements
- 5+ years of experience as a Product Analyst
- 2+ years of team management experience
- Strong knowledge of mathematical statistics and probability theory
- Proficiency in Python (NumPy, pandas, matplotlib, seaborn, scikit-learn)
- Advanced SQL skills
- Experience with BI tools (Tableau, Power BI, Metabase)
Our Tech Stack
- Python
- ClickHouse, MongoDB, PostgreSQL
- Tableau, Grafana
- Airflow
- Git
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Product Analyst, OX
Share this job
Highlights:
Location: Poland, Remote
Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
As a Product Analyst, you will be a versatile data expert at the heart of our product decisions. Your work will span the full analytical lifecycle—from building data marts and ETL processes to designing and analyzing A/B tests and delivering key insights to stakeholders. This is a role for a proactive analyst who is comfortable working across a wide range of tasks and is passionate about using data to find the truth and drive results.
What You’ll Do
- Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them.
- Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance.
- Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company.
- Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions.
Requirements
- 5+ years of professional experience as a Data Analyst or Product Analyst.
- A strong foundation in mathematical statistics and probability theory.
- Advanced proficiency in SQL.
- Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
- Hands-on experience with BI tools (Tableau, Power BI, Metabase).
- Strong written English for clear documentation and communication.
- A proactive, detail-oriented mindset with a passion for solving complex problems.
Our Tech Stack
- Languages & Libraries: Python
- Databases: ClickHouse, MongoDB, PostgreSQL
- BI & Visualization: Tableau, Grafana
- Orchestration: Airflow
- Version Control: Git
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Product Analyst, GTM
Share this job
Highlights
Location: Poland, Remote
Language: Russian-speaking team; English proficiency required (C1)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
As a Product Analyst, you will be a critical partner to our business teams, working closely with Sales, Marketing, Customer Success (CSM), and Partnerships. Your core mission is to transform raw data into actionable insights that measure effectiveness, drive strategy, and inform the product roadmap. While our development team is Russian-speaking, our main audience and business stakeholders are in the U.S., making your fluency in English essential for success.
What You’ll Do
- Uncover critical insights by forming hypotheses and validating them with data.
- Identify global and local trends in user behavior to inform product decisions.
- Analyze and interpret customer metrics to measure impact and value.
- Design and evaluate A/B tests with prospective customers to optimize performance.
- Handle ad-hoc analytical requests from stakeholders across the organization.
Requirements
- 4+ years of experience as a Data Analyst or Product Analyst.
- A strong foundation in mathematical statistics and probability theory.
- Advanced proficiency in SQL.
- Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
- Hands-on experience with BI tools (Tableau, Power BI, Metabase).
- Excellent command of written and spoken English (C1 level or higher).
- A proactive, curious mindset with strong analytical and communication skills.
Our Tech Stack
- Languages & Libraries: Python
- Databases: ClickHouse, MongoDB, PostgreSQL
- BI & Visualization: Tableau, Grafana, Metabase
- Orchestration: Airflow
- Version Control: Git
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior Backend Engineer, Food Systems (al genders)
Share this job
Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
About the role: What's in the Box
You will collaborate with the Food Systems Alliance at a pivotal moment as the organization transitions from bespoke operational tooling toward scalable software products that support the global supply chain. In this role, you’ll help translate complex business processes — such as route planning, procurement, and menu planning — into robust and reliable technical solutions.
Your initial focus will be enhancing and optimizing Python-based tools that support day-to-day production operations, while contributing longer term to the development of modular, globally scalable systems that support HelloFresh’s food supply chain across multiple regions.
What you’ll do: The Recipe
- Design and develop software products and workflow tooling supporting global supply chain operations, from ingredient planning to logistics.
- Contribute to the evolution of existing tooling and data processes into modular, scalable backend solutions aligned with HelloFresh’s growth.
- Work closely with stakeholders across Procurement, Production, and Data Engineering to help translate operational requirements into technical solutions.
- Contribute to engineering best practices around code quality, reliability, maintainability, and system design within the broader engineering setup.
- Improve and optimize complex data workflows and production logic to support evolving operational needs.
- Support knowledge sharing and collaboration across engineers through activities such as code reviews, technical discussions, and documentation.
What you’ll bring: The Ingredients
- Extensive backend engineering experience, with a deep mastery of Python and a strong interest (or experience) in exploring the JVM ecosystem (Kotlin) or Golang as our systems evolve.
- A proven track record in Data Engineering or building data-heavy products, including solid experience with SQL and data modeling (familiarity with Airflow or Pandas is a plus).
- Expertise in designing modular systems that utilize both synchronous and asynchronous communication to handle global scale.
- An agile mindset and the ability to thrive in a high-pace environment where you can translate vague business questions into concrete technical roadmaps.
- Familiarity with modern infrastructure and cloud technologies, specifically AWS and Kubernetes, to ensure your solutions are production-ready.
- Strong communication skills and the ability to navigate both deep-tech discussions and stakeholder management.
Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.
What we offer: The Toppings
- Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
- Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
- Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
- End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
- Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
Ready to apply?
Apply to HelloFresh
A Career with Point72’s Technology Team
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
As a quantitative analyst on our Treasury Analytics team, you will be at the forefront of the firm’s initiative to optimize and improve financing and capital utilization by delivering best-in-class datasets, models, and processes across asset types. The team is highly collaborative and sits within the broader Technology platform. Specifically, you will:
- Develop, implement, and maintain quantitative models for our Treasury team, including models for cash management, liquidity risk, and foreign exchange risk
- Partner with internal teams to impact the firm’s financing capabilities by delivering high-quality calculations, contributing to our Treasury analytics platform, and curating data for wider audiences
- Develop an expertise across our prime brokerage, financing models, and other firm models by engaging with partners and contributing quantitative solutions to a shared repository
- Create and implement solutions that have maximum impact
- Design, socialize, and broaden Treasury’s data platform
- Model and optimize margin across a variety of products
- Build tools to explore complex datasets and identify day-over-day changes, driven by markets movements or changes in firm positioning
- Exchange ideas and best practices with business and technology colleagues
- Own the calculation of key treasury metrics, providing insights, advice, and quantitative leadership where required
What’s required
- Strong academic achievement in a quantitative field with a background in finance or a demonstrated interest in understanding the complexity of financial markets
- Experience contributing to a shared repository, such as Git
- Proficiency in Python and quantitative libraries such as Pandas, PyTorch and NumPy
- Ability to communicate highly complex information in a variety of formats
- Strong work ethic and commitment to carrying solutions from conception to deployment
- Commitment to the highest ethical standards
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Sports card
- Private life insurance
- Private medical and dental care, with vision allowance
- Private pension scheme
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Business travel accident insurance
- Employee assistance program
- Educational assistance reimbursement
About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here
Ready to apply?
Apply to Point72
Senior Data Engineer (ADB, Python)
Share this job
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to Have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
Senior Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
Senior Product Analyst
Share this job
Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
There is a requirement for a Senior Product Analyst with deep expertise in web and app analytics to support data-informed product and growth decisions across the organization. This engagement involves working with the analytics and reporting function, providing services globally across Berlin and New York City time zones.
The scope involves solving challenging business problems using digital product usage and customer data to create high-quality digital product experiences. Deliverables will drive user experience design, product development, and customer journey optimization. The provider will be responsible for professional-grade dashboarding and reporting for critical product and growth initiatives at the executive level.
What you’ll do: The Recipe
Partner with the Senior Product organization (Product, Software Engineering, UX leads) to support strategic priorities and evidence-based decision-making.
Collaborate with cross-functional teams to gather requirements and define project objectives while utilizing project management skills to plan and execute data-driven tasks.
Design, implement, and analyze A/B tests and experiments to measure product feature impact and optimize user experiences.
Develop automated reporting and dashboards that facilitate data access and enable self-service analytics across the organization.
Build sophisticated analytics solutions to define KPI trees, design measurement frameworks, and track product performance across app and web platforms to identify opportunities for improvement.
Leverage AI and automation tools to increase efficiency in data analysis, reporting, and insight generation workflows.
Communicate complex data and statistical concepts to technical and non-technical stakeholders to influence strategic decisions.
What you’ll bring: The Ingredients
- A BS or equivalent in business, computer science, mathematics, economics, statistics, engineering, or a relevant quantitative field.
- Expert-level proficiency with Google Analytics 4 (GA4) / Snowplow, including advanced configuration and custom event tracking; experience with Mixpanel/Amplitude.
- Advanced BigQuery experience, including complex SQL queries, query optimization, data modeling, and large-scale datasets.
- Advanced Python programming skills for data analysis, automation, and building analytical tools (pandas, numpy, etc.).
- Strong Excel skills including advanced formulas, pivot tables, and data visualization.
- Demonstrated track record of leveraging AI tools (ChatGPT, Claude, Copilot, etc.) to increase productivity in analytical tasks.
- Experience with data visualization tools such as Tableau, Looker, or Data Studio.
- Deep understanding of product analytics methodology, including Cookie/Event tracking, user behavior analysis, and experimentation design.
- Proficiency with descriptive and inferential statistics.
- Experience with dbt, Airflow, or other modern data stack tools preferred.
- Previous experience providing services to fast-paced product-led or consumer-facing technology companies.
- A minimum of 5 years’ experience analyzing complex data in a business context, with at least 3 years focused on product or web/app analytics.
- Proven ability to work independently and drive projects from ambiguous problem statements to actionable recommendations.
Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.
What we offer: The Toppings
- Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
- Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
- Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
- End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
- Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
Ready to apply?
Apply to HelloFresh
Senior Data Scientist, Risk and Fraud Management, Growth Alliance
Share this job
Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
About the role: What's in the Box
As Senior Data Scientist in the Risk and Fraud Management squad, you will be responsible for building, deploying, and maintaining machine learning models that protect HelloFresh from fraud while enabling business growth through intelligent risk assessment. You will monitor model performance for anomalies and communicate insights with stakeholders to ensure optimal impact. Your work will be crucial to prevent payment and voucher fraud at checkout, and optimize the ship & collect process for recurring customers. Hence you will have a direct impact on the company's revenue protection and customer experience goals.
In this role, you will design and implement classification, regression, and uplift models which take into account various data sources, ranging from payment transactions, customer behavior, to fraud patterns and risk signals. Your models will power both real-time predictions at checkout and offline batch inference for subscription fulfillment decisions. Additionally, you will drive experiments to measure the business impact of your models and continuously improve their performance.
To succeed in this role you will be curious, a fast learner, and someone who relentlessly prioritises problem statements and tailor the solution accordingly. You will be comfortable suggesting multiple solutions based on your experience, and prioritizing tasks based on effort and likely impact. As a senior member of the Data Science team, you will jump into problem solving with others as challenges arise, and collaborate with team members.
What you’ll do: The Recipe
- Work on fraud detection and risk assessment models from data collection to production, collaborating closely with cross-functional teams (engineering, product, finance, operations)
- Build, deploy, and maintain machine learning models for:
- Ship & Collect: Offline batch inference for recurring payment risk assessment and subscription fulfillment decisions
- Voucher Fraud Prevention: Real-time inference at checkout to detect and prevent voucher abuse patterns
- Payment Fraud Prevention: Real-time inference at checkout to detect and block fraudulent payment attempts
- Monitor model performance, detect anomalies, and communicate insights and recommendations to technical and non-technical stakeholders
- Leverage classification, regression, and uplift methodologies to continuously improve fraud prevention and risk assessment solutions
- Proactively utilize Generative AI tools to accelerate development cycles, improve code quality, and drive innovative solutions to complex challenges
What you’ll bring: The Ingredients
- Bachelors, Masters or PhD in statistics, physics, economics, mathematics, computer science, data science or similar
- 3+ years work experience as a (senior) data scientist, preferably in e-commerce, fintech, or fraud detection
- Strong experience with classification and regression models; familiarity with uplift modeling is a plus
- Fluency in Python (Numpy, Pandas, Scikit-learn, XGBoost, LightGBM) and experience with Spark/PySpark, Databricks
- Experience with AWS services (SageMaker), workflow orchestration (Airflow/Prefect), and feature stores (Tecton is a plus)
- In-depth knowledge of handling imbalanced datasets, optimizing precision/recall trade-offs, and evaluating models in production
- Experience with real-time model inference, A/B testing, and measuring business impact of ML models
- Familiarity with software development practices (Git, Docker, CI/CD pipelines)
- Strong communication and collaboration capabilities with technical and non-technical stakeholders
Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.
What we offer: The Toppings
- Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
- Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
- Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
- End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
- Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
#Data
Ready to apply?
Apply to HelloFresh
Senior Data Scientist, Communications Tribe, Growth Alliance (f/m/x)
Share this job
Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
About the role: What's in the Box
This service provision involves high-level consultancy for the AI Decisioning function. The objective is to provide technical expertise in optimizing the intelligence that transforms customer engagement strategies. The focus is on complex feature engineering and optimization, developing critical data features, and applying advanced analytical techniques to maximize the performance of the AI decisioning platform. These services provide predictive data and continuous optimization that allows an automated engine to determine the right message, for the right customer, at the right time, on the right channel. There is an opportunity to drive business outcomes through enhanced personalization and predictive analytics, while also providing expertise on how Generative AI can automate and scale content in an iterative process with marketing stakeholders.
What you’ll do: The Recipe
Modeling & Optimization Tasks
- Technical Guidance on Predictive Analysis: Provide expertise in the development and application of machine learning models to solve complex business problems, from churn prediction to large-scale personalization.
- Feature Development & Validation: Develop, prepare, and validate the critical data features that fuel models, ensuring they are robust and predictive.
- Model Performance Standards: Drive improvements in model quality and reliability by implementing industry best practices in validation, monitoring, and A/B testing.
Strategic Collaboration & Impact
- Insight Delivery: Partner with Product and Marketing functions, translating complex findings into actionable insights that guide strategy.
- Analytical Consultation: Proactively collaborate with stakeholders to frame business problems, translate needs into analytical solutions, and provide expertise on the use of Generative AI for content optimization.
- Methodological Perspective: Contribute to the success of the project by establishing analytical best practices and sharing a technical perspective to guide methodologies.
What you’ll bring: The Ingredients
Core Skillset:
- Data Science Background: A strong background in data science or a related quantitative field, with demonstrated success in applying machine learning techniques to solve business problems.
- Core Tech Stack Experience: High proficiency in working with Python (including libraries like pandas and scikit-learn) and SQL. Hands-on experience with core machine learning methodologies (e.g., regression, classification) and experimentation (e.g., A/B testing).
- Proactive Execution: A demonstrated ability to be accountable for deliverables from ideation to impact, with a focus on driving measurable outcomes and identifying potential issues before they become critical.
Preferred Experience:
- Domain & Tool Experience: Previous experience in the MarTech or CRM domains.
- Modern Platform Proficiency: Experience with data platforms like Databricks or the PySpark ecosystem, and general familiarity with cloud platforms (AWS, GCP, or Azure).
- Generative AI Knowledge: Familiarity with or a strong interest in leveraging Generative AI models (e.g., LLMs) for content automation, including prompt engineering.
What we offer: The Toppings
- Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
- Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
- Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
- End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
- Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
#Data
Ready to apply?
Apply to HelloFresh
Senior Data Scientist, AdTech Tribe, Growth Alliance (f/m/x)
Share this job
Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
About the role: What's in the Box
Are you ready to drive a huge business impact? As a Senior Data Scientist for AdTech Search Optimization, you will be responsible for maximizing the performance of the Search channels. This work will be crucial to increase return on investment for the marketing budget. Hence, the services provided will have a direct impact on the company’s goals to drive and increase marketing efficiency.
In this capacity, the service provider will design and implement statistical and machine learning models which take into account various data sources, from internal conversion data to external ads platform data.
To succeed in this project, the provider will be a curious, fast learner, who relentlessly prioritizes problem statements and tailors solutions accordingly. Success involves suggesting multiple solutions based on professional experience and prioritizing tasks based on effort and likely impact.
What you’ll do: The Recipe
- Collaborate as an integral part of an amazing and fun team consisting of highly skilled data scientists and engineers.
- Collaborate closely within cross-functional teams (engineering, product, marketing) to translate business objectives into concrete, data-driven strategies.
- Take responsibility for the delivery and execution of scientific optimization models and algorithms, from data collection to operationalization, and closely align them with non-technical stakeholders.
- Experiment and explore opportunities to constantly improve and refine technical approaches.
- Leverage statistical analysis and machine learning algorithms in development and production to enhance incrementality measurement solutions.
- Think out of the box to come up with new ways to improve the data products delivered to stakeholders.
What you’ll bring: The Ingredients
- Proven track record of scientific work in your Bachelors, Masters or PhD in statistics, physics, economics, mathematics, data science or similar.
- Long-term (3+ yrs) work experience as a (senior) data scientist, preferably in an e-commerce environment
- Strong marketing domain knowledge as well as experience with in the Google Search ecosystem and attribution models are a huge plus
- In-depth knowledge how to interpret experiment results, how to handle statistical uncertainties and how to apply statistical models such as regressors and classifiers
- Experience with forecasting algorithms, portfolio optimization approaches, as well as Vector Autoregression
- Fluency and long-term experience in Python, including high familiarity with its scientific stack such as Numpy, Pandas, Scikit-learn, Matplotlib, etc. (experience in Databricks is a plus)
- Ability to retrieve (using SQL), manipulate and analyse large, heterogeneous datasets and build data pipelines
- Familiarity with software development practices and tools (Git, Docker, AWS)
- You love to learn, are a critical thinker and creative problem solver who strives for excellence
- You are a team player who loves to collaborate and work with stakeholders from different backgrounds in an international environment
- Exceptional communication and collaboration capabilities.
What we offer: The Toppings
- Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
- Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
- Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
- End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
- Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
#Data
Ready to apply?
Apply to HelloFresh
We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification, segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification, segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior/Lead Machine Learning Engineer
Share this job
We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification, segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior/Lead Machine Learning Engineer
Share this job
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
Observability, Data Scientist
Share this job
Salary Range: PLN 350,700 - 474,400 + Benefits + Equity
Subject to alignment to the responsibilities and duties of the role.
About Graphcore
At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
Job Summary
We are seeking a Data Scientist / Data Analyst to transform large-scale infrastructure and hardware-level telemetry into actionable insights, predictive intelligence, and automated decision systems.
Working closely with telemetry platform engineers, you will analyze data across the full stack - from data center infrastructure down to chip-level signals (power, thermals, performance counters, reliability indicators) to detect anomalies, predict failures, and optimize system behaviour. This role complements telemetry engineering by extracting intelligence from observability systems and enabling data-driven control loops.
You will operate at the intersection of data science, distributed systems, and infrastructure observability.
Key Responsibilities
Data Analysis & Modelling
- Analyse large-scale telemetry datasets (metrics, logs, events) across multiple layers: data center (clusters, networking, cooling), system (servers, accelerators), silicon-level (on-chip sensors, performance counters, voltage, thermal, error signals).
- Develop anomaly detection models for infrastructure-level events and hardware/silicon anomalies (e.g., thermal hotspots, voltage instability, error rate drift).
- Build predictive models for fault detection and failure forecasting (e.g., hardware degradation, thermal issues, network anomalies).
- Apply statistical and machine learning techniques to identify patterns and root causes.
Automation & Intelligence
- Design automated remediation strategies informed by both system and hardware-level signals.
- Collaborate with engineering teams to integrate models into observability and control systems.
- Enable closed-loop optimization using real-time hardware telemetry streams.
Data Engineering Collaboration
- Work with telemetry engineers on data ingestion pipelines, ensuring data quality and usability.
- Help define schemas, feature extraction pipelines, and aggregation strategies (e.g., down-sampling, windowing).
- Optimize use of time-series databases and analytics platforms.
Visualization & Reporting
- Build dashboards and visualizations for operational insights (Grafana, Superset, etc.).
- Present complex data in clear, actionable formats for engineering and leadership.
- Define KPIs and health metrics for infrastructure systems.
Cross-Functional Collaboration
- Partner with platform, hardware, and software teams to understand system behaviour.
- Support debugging, performance analysis, and benchmarking efforts using telemetry data.
- Contribute to reference designs and best practices for observability and analytics.
Skills and Experience
Essential:
- BSc/MSc/PhD in Data Science, Computer Science, Statistics, or related field.
- Strong experience with time-series data analysis and large-scale telemetry datasets.
- Proficiency in Python (NumPy, Pandas, SciPy, ML frameworks).
- Experience with:
- Anomaly detection techniques (statistical + ML-based)
- Predictive modeling and forecasting
- Signal processing techniques (filtering, smoothing, FFT or similar is a plus)
- Data visualization tools (e.g., Grafana, Tableau, Plotly)
- Familiarity with:
- Time-series databases (e.g., Prometheus, InfluxDB)
- Observability stacks and monitoring systems
- Strong understanding of data pipelines and distributed systems.
- Excellent communication skills - ability to translate data insights into engineering actions.
Desirable:
- Experience with data center infrastructure, hardware telemetry and cloud platforms.
- Knowledge of monitoring, observability and management solutions in use by hyperscalers.
- Familiarity with root cause analysis in distributed systems.
- Experience deploying models into production.
- Understanding of system architecture (CPU/GPU/accelerators, networking) .
- Experience with real-time analytics frameworks (Kafka, Flink, Spark).
Benefits
In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Sponsorship
Applicants for this position must hold the right to work in the Poland. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
Ready to apply?
Apply to Graphcore
Company Overview
PandaDoc empowers more than 60,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.
What You'll Do
Experimentation & Causal Strategy
- Lead the Experimentation Roadmap: Define, champion, and execute a strategic roadmap for measuring impact across PandaDoc, focusing on high-leverage business questions related to customer workflows, churn risk, and long-term value (LTV).
- Advanced Experiment Design: Design, implement, and rigorously analyze complex A/B tests, multivariate experiments, and adaptive experimentation methods, including the application of Bayesian experimentation, to assess the effectiveness of proposed product changes and business levers.
- Causal Inference Beyond A/B: Apply advanced causal inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where randomized controlled trials (RCTs) are infeasible.
- Deep Dive Analysis: Conduct complex, proactive, and exploratory analysis to discover latent user behavior, emerging trends, and root causes of changes in key metrics, translating these findings into actionable product and business insights.
- Develop Measurement Frameworks: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps low-level product health metrics to high-level business outcomes, ensuring consistent and scalable measurement across the organization.
Technical Leadership & Influence
- Scaling Data Science: Partner with Data Engineering to design and build scalable, self-serve experimentation tooling and reusable analytical assets and frameworks (e.g., causal machine learning models) that empower other analysts and data consumers.
- Strategic Influence: Act as a strategic thinker by translating complex statistical findings into clear, compelling, and actionable business narratives for cross-functional partners and senior leadership (VP/C-suite), driving strategic decisions and investment priorities.
- Mentorship and Training: Serve as a technical subject matter expert, training and mentoring junior and mid-level data scientists on best practices in statistical rigor, experimental design, and causal modeling.
About You
Qualifications
- Experience: 6+ years of professional experience in an applied data science, economics, or product analytics role, with a proven track record of leveraging experimentation and causal inference methods to drive significant business impact.
- Education: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline. A Master’s degree in a quantitative field (e.g., Statistics, Data Science, Econometrics, Operations Research) is preferred, but not required.
Required Technical Expertise
- Causal Inference: Demonstrated expertise in applying a wide range of Causal Inference methods, e.g. Quasi-Experimentation, Matching Methods (PSM), Difference-in-Differences, and/or Instrumental Variables.
- Experimentation Methodologies: Expertise in advanced statistical methodologies for A/B testing, including sample size calculations, sequential testing, dealing with interference/network effects, variance reduction techniques (e.g., CUPED), etc.
- Deep Analytical Methods: Mastery of advanced statistical modeling, time-series analysis, and quantitative methods necessary to perform thorough exploratory data analysis, produce timely insights, and provide actionable recommendations.
- Programming: Advanced proficiency in Python or R for statistical modeling, with experience using relevant data science packages (e.g., SciKit-Learn, numpy, pandas).
- Data Tools: Expert-level proficiency in SQL and experience working with established data warehouses (e.g., Snowflake, Postgres).
- Data Pipelining: Experience with data transformation and workflow management tools such as dbt, Airflow, or Databricks is a strong plus.
Key Attributes
- Strategic Communication & Influence: Possesses exceptional communication, presentation, and data storytelling skills with a consistent record of influencing cross-functional partners and leadership at all levels, particularly in navigating and driving consensus in unstructured or ambiguous environments.
- Change Management: Proven ability to drive organizational change management in environments where experimentation and data-driven decision-making are not yet widely adopted.
- Thrive in ambiguity: Ability to navigate significant ambiguity, translate complex business questions into clear analytical frameworks, and manage multiple competing priorities in a fast-paced environment.
- Relevant Experience: Experience in a SaaS domain and a strong focus on Product Data Science are strongly preferred.
Company Culture
We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. Our attainment of awards such as Best Workplace, Best StartUp Employer and a Stevie Award for Best Employers demonstrate our commitment to our culture.
Check out LinkedIn to learn more.
Benefits
- Competitive salary (If you are located in Poland the salary range is 320-350 PLN annually/gross)
- Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
- We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters).
- Work schedule aligned with EU time zones.
- Honest, open culture that values constructive feedback.
- Professional and personal development within a collaborative, supportive team.
- Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
EXTERNAL RECRUITERS
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.
Ready to apply?
Apply to PandaDoc
Company Overview
PandaDoc empowers more than 60,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.
What You'll Do
Experimentation & Causal Strategy
- Lead the Experimentation Roadmap: Define, champion, and execute a strategic roadmap for measuring impact across PandaDoc, focusing on high-leverage business questions related to customer workflows, churn risk, and long-term value (LTV).
- Advanced Experiment Design: Design, implement, and rigorously analyze complex A/B tests, multivariate experiments, and adaptive experimentation methods, including the application of Bayesian experimentation, to assess the effectiveness of proposed product changes and business levers.
- Causal Inference Beyond A/B: Apply advanced causal inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where randomized controlled trials (RCTs) are infeasible.
- Deep Dive Analysis: Conduct complex, proactive, and exploratory analysis to discover latent user behavior, emerging trends, and root causes of changes in key metrics, translating these findings into actionable product and business insights.
- Develop Measurement Frameworks: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps low-level product health metrics to high-level business outcomes, ensuring consistent and scalable measurement across the organization.
Technical Leadership & Influence
- Scaling Data Science: Partner with Data Engineering to design and build scalable, self-serve experimentation tooling and reusable analytical assets and frameworks (e.g., causal machine learning models) that empower other analysts and data consumers.
- Strategic Influence: Act as a strategic thinker by translating complex statistical findings into clear, compelling, and actionable business narratives for cross-functional partners and senior leadership (VP/C-suite), driving strategic decisions and investment priorities.
- Mentorship and Training: Serve as a technical subject matter expert, training and mentoring junior and mid-level data scientists on best practices in statistical rigor, experimental design, and causal modeling.
About You
Qualifications
- Experience: 6+ years of professional experience in an applied data science, economics, or product analytics role, with a proven track record of leveraging experimentation and causal inference methods to drive significant business impact.
- Education: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline. A Master’s degree in a quantitative field (e.g., Statistics, Data Science, Econometrics, Operations Research) is preferred, but not required.
Required Technical Expertise
- Causal Inference: Demonstrated expertise in applying a wide range of Causal Inference methods, e.g. Quasi-Experimentation, Matching Methods (PSM), Difference-in-Differences, and/or Instrumental Variables.
- Experimentation Methodologies: Expertise in advanced statistical methodologies for A/B testing, including sample size calculations, sequential testing, dealing with interference/network effects, variance reduction techniques (e.g., CUPED), etc.
- Deep Analytical Methods: Mastery of advanced statistical modeling, time-series analysis, and quantitative methods necessary to perform thorough exploratory data analysis, produce timely insights, and provide actionable recommendations.
- Programming: Advanced proficiency in Python or R for statistical modeling, with experience using relevant data science packages (e.g., SciKit-Learn, numpy, pandas).
- Data Tools: Expert-level proficiency in SQL and experience working with established data warehouses (e.g., Snowflake, Postgres).
- Data Pipelining: Experience with data transformation and workflow management tools such as dbt, Airflow, or Databricks is a strong plus.
Key Attributes
- Strategic Communication & Influence: Possesses exceptional communication, presentation, and data storytelling skills with a consistent record of influencing cross-functional partners and leadership at all levels, particularly in navigating and driving consensus in unstructured or ambiguous environments.
- Change Management: Proven ability to drive organizational change management in environments where experimentation and data-driven decision-making are not yet widely adopted.
- Thrive in ambiguity: Ability to navigate significant ambiguity, translate complex business questions into clear analytical frameworks, and manage multiple competing priorities in a fast-paced environment.
- Relevant Experience: Experience in a SaaS domain and a strong focus on Product Data Science are strongly preferred.
Company Culture
We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. Our attainment of awards such as Best Workplace, Best StartUp Employer and a Stevie Award for Best Employers demonstrate our commitment to our culture.
Check out LinkedIn to learn more.
Benefits
- Competitive salary (If you are located in Poland the salary range is 320-350 PLN annually/gross)
- Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
- We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters).
- Work schedule aligned with EU time zones.
- Honest, open culture that values constructive feedback.
- Professional and personal development within a collaborative, supportive team.
- Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
EXTERNAL RECRUITERS
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.
Ready to apply?
Apply to PandaDoc
Senior Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
Senior Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
Who We Are
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.
The Role
Part of the broader Addepar Data organisation, the Data Client Projects team is responsible for converting and onboarding existing client portfolio data onto Addepar. During the lifecycle of a project, members of this team will coordinate data transmission/extraction, transform and import data, and assist with the validation of the data. Accurate and timely completion of these projects are crucial in enabling our clients to take full advantage of Addepar's reporting and analysis capabilities.
Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.
What You’ll Do
- Manage and complete data conversion projects of varying complexity from third-party systems and files sourced from our custodial data partners
- Partner with members of Sales and Services organisations to drive alignment on project cost estimates and deliverables, and to ensure positive client outcomes.
- Develop new/improve existing python scripts and Juptyer notebooks to interact with APIs
- Collaborate with Product and Engineering to identify and implement process improvements and tooling enhancements that increase operational efficiency
- Maintain team resources and procedural documentation, and ensure metrics are accurately recorded for internal analytics
Who You Are
- Prior work experience in the financial investment/advisory/technology industry with strong understanding of capital markets and portfolio accounting
- Proven track record of multitasking and prioritising effectively in a fast paced environment, and experienced in leading cross-functional projects
- Outstanding communication and interpersonal skills for engaging with clients, data providers, as well as internal partners
- Demonstrates effective problem solving abilities, self-motivation to take on responsibility, and a strong team-player mentality
- Willing to work flexible hours
- Technical skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, SQL, Salesforce, Python (Jupyter Notebook, Pandas, Requests, etc.), Bloomberg, Thomson Reuters, or other common financial services systems and applications
Our Values
- Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
- Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
- Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
- Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
- Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.
Ready to apply?
Apply to Addepar
Senior Technical Researcher/Engineer
Share this job
Location: Poland
We Are:
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.
You Will:
As a Senior Technical Researcher/Engineer within the AdTech Technical Research Team, you'll play a pivotal role in exploring and understanding the latest technologies in the ad tech domain. You'll be responsible for conducting in-depth research, experimenting with new technologies, and collaborating with cross-functional teams to assess their potential for integration into our systems. Your role will involve a blend of programming, research, and analytical skills to evaluate the effectiveness and feasibility of various ad tech solutions.
Desired Experience:
- 5+ years of experience as researcher or engineer.
- Strong technical proficiency: programming skills and the ability to understand large and complex systems and architectures.
- Openness and willingness to experiment & learn: readiness to take on new challenges, explore new technologies, and continuously expand knowledge in the ad tech domain.
- Independence & proactive attitude: ability to take initiative, make decisions, and act without excessive supervision while maintaining a high standard.
- Goal-oriented mindset: focus on achieving specific project goals and adaptability in a dynamic environment.
- Collaboration & communication: ability to cooperate effectively with teammates and other teams, clearly sharing knowledge and cooperating with external organizations (e.g. major browser vendors, W3C, GitHub discussions).
- Ability to build Proof of Concepts (PoCs): creating prototypes and experimental solutions to evaluate effectiveness and utility.
Selected Technologies & Projects:
- Python, Java, Scala, TypeScript/JavaScript
- PyTorch, NumPy, Pandas
- Jupyter Notebooks
- BigQuery, GCP
- Browser Engines
- Assessing new privacy mechanisms (e.g. Privacy Sandbox APIs) by building PoCs, testing, and suggesting improvements (via GitHub issues or meetings). The goal is to evaluate their feasibility, ensure compliance, and enhance user privacy.
- Exploring solutions for Android and iOS, including creating prototypes to improve performance on mobile platforms. This requires close collaboration with other teams and leveraging ML opportunities.
- Many more — including your own ideas!
We Offer:
- Technology: access to the latest technologies and real opportunity to use of them in a large-scale and highly dynamic projects; extensive and rich datasets
- Impact: your contribution will directly influence the company's business results and outcomes globally, while also giving you the chance to mentor less experienced colleagues in the team
- Wellbeing: extremely flexible conditions – you act when it is convenient for you and devote as much time as you can; you can operate fully remotely
- Culture: be part of a team of enthusiasts with wide experience in ML who willingly share their knowledge and learnings on a daily basis, no BS environment
- Contract Types: B2B
Apply now!
You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.
Ready to apply?
Apply to RTB HouseMachine Learning Researcher
Share this job
Location: Poland
We Are:
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. As an ML Researcher, you will be responsible for its development.
Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.
You Will:
- Designing and implementing models, most often of deep neural networks, used to predict the behavior and preferences of Internet users
- Analysis of the latest works in the field of Machine Learning
- Conducting and analyzing A/B tests of new solutions
- Developing and testing new approaches to modeling key issues, such as bidding in first-price auctions
Desired Experience:
- 4+ years of hands-on experience with Machine Learning / Data Science
- Interest and willingness to constantly develop in the area of Machine Learning
- Knowledge of statistics and probability
- Proficiency in programming
Selected technologies used:
- Python, Java, Scala
- PyTorch, NumPy, Pandas
- Jupyter Notebooks
Additional advantages will be:
- Experience in the ML industry
- Experience in designing recommendation systems
- Practical knowledge of the tools we use
Sample topics:
- Implementation and analysis of new model architectures, such as convolutional networks, transformer
- Analyze the difference in the distribution of training and production data. Estimating the scale of the problem, identifying the best solution, analysis, implementation, deployment
- Experiments with the use of transfer learning
- A completely new approach to generating product recommendations that is free from proxy targets and uses contrastive loss function
We Offer:
- Cooperate in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills
- Extremely flexible cooperation conditions - you cooperate when it is convenient for you and devote as much time as you can; you can cooperate fully remotely
- Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project;
- Possibility of using the possessed knowledge and competences in practical applications - while optimizing algorithms supporting hundreds of millions of Internet users and monthly buyers of billions of advertising views in the RTB model, based on extensive data sets
- The effects of your cooperate immediately visible in the company's business results
- Possibility to publish your results
- Cooperation based on B2B contract or Contract of Mandate
- You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.
Apply now!
You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.
Ready to apply?
Apply to RTB House
Senior Data Scientist, Menu Personalization
Share this job
Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
About the role: What's in the Box
This position is for an expert in developing and deploying large-scale recommender systems. The service provider will engage with a high-impact team of data scientists, focusing exclusively on menu personalization. As a Senior Data Scientist, the role involves a pivotal part in designing, implementing, and improving personalized recommendation algorithms for culinary products across global markets.
Expect to have a tangible impact on customer experience and business growth by ensuring customers are presented with the most relevant menu options. This involves working closely with other personalization Data Scientists, as well as Data, Backend, and Machine Learning Engineers, to deliver statistical solutions and ML models to production. Success in this role requires a curious mindset, the ability to prioritize problem statements, and the expertise to suggest multiple solutions based on potential impact. This role does not include people management responsibilities.
At HelloTech, flexibility and cross-functional collaboration are core to how we work. While this role is aligned to a specific Alliance, strong candidates may also be considered for opportunities across different teams or projects.
What you’ll do: The Recipe
- Become an integral part of a high-impact team covering menu personalization.
- Contribute to designing and implementing the next generation of recommender models, from experimentation and data collection to operationalization.
- Shape the future of customer experience by proposing new personalization approaches and evolving statistical and ML models in pace with future company strategies.
- Design and execute A/B tests to measure the impact of new recommendation strategies on key metrics.
- Work with state-of-the-art technologies like AWS (EMR, Glue, S3, etc), Kafka, PySpark, Airflow, Databricks, MLFlow, and Claude (AI).
- Collaborate closely within other functions (data engineering, backend engineering, ML engineering, product) to translate business objectives into concrete strategies.
- Analyze the performance of models to understand customer behavior and implement technical improvements.
- Contribute to a collaborative and knowledge-sharing environment, providing technical guidance and coaching to team members and stakeholders.
What you’ll bring: The Ingredients
- Proven track record of scientific work (Bachelor's, Master's, or PhD) in computer science, statistics, physics, economics, mathematics, or data science.
- 3+ years of work experience as a data scientist focused on developing and deploying recommender systems or personalized ML models in a production environment.
- In-depth knowledge of various recommendation algorithms, evaluation metrics, and the practical challenges of maintaining a modern recommender system.
- Fluency in Python, including high familiarity with its scientific stack (Numpy, Pandas, Scikit-learn, Matplotlib). Experience in Databricks and PySpark is a plus.
- Technical proficiency in SQL for retrieving, manipulating, and analyzing large datasets.
- Experience with software development practices and tools such as Git, CI/CD, Docker, and AWS.
- Expertise in leveraging Generative AI tools (e.g., Claude, Copilot) to support model development, experimentation, and documentation.
- Exceptional communication capabilities to interact effectively with product managers, UX designers, and business stakeholders.
Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.
What we offer: The Toppings
- Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
- Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
- Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
- End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
- Access to workspace at Warsaw Centre Point. The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
#DATA #SCIENCE #AI
Ready to apply?
Apply to HelloFresh
Senior Data Scientist, Menu Personalization
Share this job
The role
Are you passionate about food? Do you consider yourself an expert and enthusiast in developing and deploying large-scale recommender systems? Then this position might be the perfect fit for you!
You will join a high-impact team of data scientists, focusing exclusively on menu personalization. As a Senior Data Scientist, you will play a pivotal role in designing, implementing, and improving our personalized recommendation algorithms for culinary products across HelloFresh’s global markets. In this role, you can expect to have a large and tangible impact on customer experience and business growth by ensuring customers always see the most relevant and appealing menu options. You will work closely with other personalization Data Scientists, as well as Data, Backend, and Machine Learning Engineers, together delivering statistical solutions and ML models to production.
To succeed in this role you should be curious, able to deal with uncertainty, a fast learner, and someone who relentlessly prioritizes problem statements and tailors the solution accordingly. You should also be comfortable suggesting multiple solutions based on your experience, and prioritizing tasks based on effort and potential impact. As a senior member of the team, you will be expected to work independently when necessary, as well as support other team members occasionally.
What you’ll do
- Join and become an integral part of a high-impact team covering menu personalization.
- Contribute to designing and implementing the next generation of our recommender models, from experimentation and data collection to operationalization and closely aligning them with non-technical stakeholders.
- Shape and transform the future of customer experience at HelloFresh by proposing new personalization approaches and evolving the statistical and ML models in pace with future company strategies.
- Design and execute A/B tests to measure the impact of new recommendation strategies on key metrics.
- Work with state-of-the-art technologies like AWS (EMR, Glue, S3, etc), Kafka, PySpark, Airflow, Databricks, MLFlow, Claude (AI), as well as our in-house MLOPs tools.
- Collaborate closely within other functions (data engineering, backend engineering, ML engineering, product) to translate business objectives into concrete, data-driven personalization strategies.
- Analyze the performance of our models to understand customer behavior, and come up with improvements.
- Contribute to a collaborative and knowledge-sharing environment.
What you’ll bring
- Proven track record of scientific work in your Bachelor's, Master's, or PhD in computer science, statistics, physics, economics, mathematics, data science or similar.
- Long-term (3+ yrs) work experience as a (senior) data scientist focused on developing and deploying recommender systems or personalized ML models in a production environment.
- In-depth knowledge of various recommendation algorithms, evaluation metrics, and the practical challenges of building and maintaining a modern recommender system.
- Fluency and long-term experience in Python, including high familiarity with its scientific stack such as Numpy, Pandas, Scikit-learn, Matplotlib. (Experience in Databricks and PySpark is a plus).
- Ability to retrieve (using SQL), manipulate, and analyse large, heterogeneous datasets.
- Experience with software development practices and tools (Git, CI/CD, Docker, AWS).
- You love to learn, are a critical thinker and creative problem solver who strives for excellence.
- You are a team player who loves to collaborate and work with stakeholders from different backgrounds in an international environment.
- Exceptional communication and collaboration capabilities.
- Experience working with and leveraging Generative AI tools (e.g., Claude, Copilot) to support model development, experimentation, code generation, and documentation.
Interacting with product managers, UX designers, data and backend engineers, as well as business stakeholders, is very much part of our day-to-day, so communication skills are vital. We are looking for strong problem-solvers who can apply their statistical modeling and machine learning skills to a wide range of business problems in the personalization space while also acting as an ambassador to coach team members and stakeholders.
Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.
Let’s cut to the cheese, this is why you'll love it here
- Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
- Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
- Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
- Family Benefits - A parental leave top-up program for expectant parents.
- Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
- Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
- Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
- Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
Flexible Hybrid Approach
At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience.
To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.
#LI-HYBRID
HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.
This is a posting for an existing vacancy. We are actively seeking to fill this position.
#DATA
Ready to apply?
Apply to HelloFresh
As PandaDoc continues to scale, we’re expanding our security team and looking for an Application Security Engineer to help shape and strengthen our security foundations. In this role, you’ll take ownership of key security initiatives across our application, working closely with engineering to embed security into every stage of development. You’ll contribute to building a proactive, automation-driven security culture while addressing both current risks and emerging challenges, including AI security.
In this role, you will:
- Monitor and test information systems to identify vulnerabilities
- Execute or manage the remediation of identified vulnerabilities
- Respond to security incidents and perform root cause analysis
- Assess and understand PandaDoc’s current security framework and future architecture, providing recommendations for risk reduction
- Design, implement, maintain, and evangelize automated security solutions
- Work closely with engineering teams to implement new security controls
- Analyze and monitor relevant security threats and prevention measures based on industry trends and standards
- Perform cloud services hardening, including reviewing roles and permissions for services and APIs
- Help address emergent threats in AI security as PandaDoc deploys AI in its product and for internal use
Our stack:
- Service-oriented architecture
- Two main stacks: Java and Python
- Amazon Web Services: EKS, RDS, ElastiCache, etc.
- A combination of AWS native and 3rd party security tools for infrastructure and application security (WAF, CNAPP, SCA/SAST, DAST, AWS GuardDuty, etc.)
About you:
- 2+ years of cloud security experience implementing security controls and best practices in AWS, GCP, or Microsoft Azure
- 2+ years of experience with security management tools, including IPS/IDS, WAF, vulnerability scanning, and penetration testing
- Good understanding of Access Control and Identity Access Management principles (SAML 2.0, OAuth, JWT, etc)
- Experience with implementing DevSecOps practices in SSDLC
- Solid interpersonal, written, and verbal communication skills
- Upper-Intermediate English level (B2+)
Company Overview:
PandaDoc empowers more than 60,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.
Company Culture:
We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
Check out our LinkedIn to learn more.
Salary:
The monthly base salary for this role is up to 21000 PLN to 24,750 PLN.
Benefits:
Our team members and their families have access to comprehensive benefits including:
- Multisport Card for fitness and wellness activities (individual or family plan)
- LuxMed healthcare coverage (individual or family plan)
- UNUM life insurance protection (individual or family plan)
- Onboarding benefit allowance that can be used for necessary work equipment and setup
- 6 self-care days beyond standard Polish vacation entitlements
- Wellness, learning and development budgets
- Employees may be able to purchase company stock or receive annual bonuses.
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
EXTERNAL RECRUITERS
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.
Ready to apply?
Apply to PandaDoc
Senior Data Scientist, Machine Learning Engineer
Share this job
About Shelf
The enterprise is going agentic — but most AI agents fail when they hit real business complexity. Shelf is changing that.
We’ve built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don’t just respond — they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale.
Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20–25%, and turn hours-long processes into seconds. We’re partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks — and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach.
If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you’re in the right place.
Our mission is to empower humanity with better answers everywhere.
Summary
The R&D department plays a pivotal role in driving Shelf to disrupt the market. We are looking for Machine Learning experts that are able to deliver end to end with a blend of experience: Python engineering, ML engineering, and pragmatic Data science and Machine learning research. You will ship end-to-end features—from problem framing and experimentation to service deployment, and ongoing operations—quickly and with high quality. Your work will power ML- and LLM-driven services used by top enterprises like Amazon, Mayo Clinic, AmFam, and Nespresso.
This role requires strong Python engineering capabilities coupled with a strong ability to deliver robust ML solutions, along with ML research literacy to choose sound methodologies, define metrics, and evaluate different approaches effectively.
You’ll work in an agile environment, move fast, and own what you ship.
Responsibilities
- Own end-to-end delivery: ideate, research, prototype, productionize, and operate ML-powered services with an expectation to iterate and ship frequently
- Stand up robust training/evaluation pipelines: dataset curation, labeling/feedback loops, experiment tracking, offline/online metrics, and A/B testing
- Solve problems using sound methodology, evaluate approaches along with
- Transform ML models and LLM workflows (including RAG) into reusable, versioned, observable production services with CI/CD
- Collaborate with Product Owners to shape our product and requirements
- Conduct and receive code reviews; champion engineering excellence, testing discipline, and documentation
- Leverage AI coding assistants to accelerate development and create internal agents that automate parts of the engineering workflow
- Share learnings through demos, docs, and knowledge sessions; contribute to a culture of continuous improvement
Requirements
- 3+ years of professional experience researching and shipping ML-based solutions, with strong Python skills and a track record of delivering fast without sacrificing quality
- Proven experience in owning research problems end-to-end, starting from initial data analysis, through iterative research phases to delivering on production
- Practical NLP/LLM experience: transformers, embeddings, prompt design, and evaluation; ability to choose and justify metrics and methodologies
- Strong backend fundamentals: designing RESTful services, schema design, data modeling, and performance tuning for SQL and NoSQL stores
- Data processing skills: pandas/NumPy; experience with batch/stream processing and ETL orchestration (e.g., Airflow, Step Functions)
- Strong English verbal and written communication
As a plus
- LLM ops and safety: eval frameworks (e.g., RAGAS), guardrails, red-teaming, prompt optimization at scale
- Model optimization: quantization, distillation, pruning; GPU/accelerator-aware serving
- Experience with AWS ML stack (SageMaker, Batch, Step Functions, Lambda, SQS/SNS, DynamoDB, ECS, EC2, S3)
- Vector databases and search: Pinecone, Elasticsearch, pgvector, FAISS, or DeepLake
- Background in reinforcement learning, agent frameworks, or autonomous agents
- Publications, open-source contributions, GitHub portfolio
What Shelf Offers
- B2B contract
- Company Stock Options
- Hardware: MacBook Pro
- Modern technical stack. Develop open-source software
- Premier AI development environment: GitHub Copilot, Claude Code, OpenAI, TypingMind, v0, MCP Servers, plus credits to experiment with emerging AI tools
Why Shelf
- Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
- We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
- We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
- We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
- We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months
Our Values:
Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.
Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.
Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.
Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.
Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.
Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.
Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.
Ready to apply?
Apply to Shelf
Senior Software Engineer
Company description
At PandaDoc, we're building the future of documents.
Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative.
We’re a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.
Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.
Currently, PandaDoc is seeking a Senior Java Engineer to join our Document App Track.
The Document App Track focuses on the core entity of PandaDoc — documents. We build the systems that allow users to create, import, process, and export documents at scale. In this team, we are tackling the challenge of building and maintaining mission-critical backend services that power PandaDoc document import and export (PDF, DOCX, and other formats). Our goal is to ensure high system reliability, streamline release processes, and maintain production service stability. We own several business-critical services and are responsible for making them robust, efficient, and scalable to support our company’s growth.
Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda, and we want you to join our team.
In this role, you will:
- Design, build, test, and deliver features to production as part of a 5-person team.
- Keep production services stable (maintaining SLO), react to alerts and incidents.
- Face and overcome multiple scale-related technical problems in distributed systems.
- Find and address systematic issues to maintain low time-to-change with high change-confidence levels.
- Work on integrating AI-powered features (e.g. automatic field detection), collaborating with dedicated AI teams.
- Participate in team activities and rituals: code review, on-call rotation, planning, PBR, retro, daily standups,
- Collaborate with the broader team (track level, consisting of 5 teams)
Our stack:
- Java 17/21 with Spring Boot 3
- PostgreSQL 17 as our primary database
- Kafka for async communication patterns
- Temporal for managing asynchronous workflows
- JUnit and automated testing frameworks
- Amazon Web Services
- Docker, Kubernetes
- Distributed monitoring stack (traces, logs, metrics)
About you:
- 5+ years of experience as a Software Engineer.
- Experience working with production systems, including on-call responsibilities.
- Strong experience with Java and Spring Boot (Java 17/21, Spring Boot 3).
- Solid understanding of microservices architecture, distributed systems, and asynchronous communication (Kafka).
- Experience with relational databases (SQL, performance optimization), ideally PostgreSQL.
- Good knowledge of testing practices (JUnit, automated testing).
- Strong system design and problem-solving skills.
- Experience across the full development lifecycle, from design to deployment and monitoring.
- Ability to stay calm and effective during incident handling.
- Strong communication skills and ability to collaborate in English (written and spoken).
Company Overview:
PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.
Company Culture:
We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
Check out our LinkedIn to learn more.
Benefits:
- Competitive salary. If you're located in Poland, the salary range is 275000 - 413000 PLN annually.
- Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
- We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters.
- Work schedule aligned with EU time zones.
- Honest, open culture that values constructive feedback.
- Professional and personal development within a collaborative, supportive team.
- Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
EXTERNAL RECRUITERS
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.
Ready to apply?
Apply to PandaDoc
Senior Software Engineer
Company description
At PandaDoc, we're building the future of documents.
Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative.
We’re a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.
Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.
Currently, PandaDoc is seeking a Senior Java Engineer to join our Document App Track.
The Document App Track focuses on the core entity of PandaDoc — documents. We build the systems that allow users to create, import, process, and export documents at scale. In this team, we are tackling the challenge of building and maintaining mission-critical backend services that power PandaDoc document import and export (PDF, DOCX, and other formats). Our goal is to ensure high system reliability, streamline release processes, and maintain production service stability. We own several business-critical services and are responsible for making them robust, efficient, and scalable to support our company’s growth.
Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda, and we want you to join our team.
In this role, you will:
- Design, build, test, and deliver features to production as part of a 5-person team.
- Keep production services stable (maintaining SLO), react to alerts and incidents.
- Face and overcome multiple scale-related technical problems in distributed systems.
- Find and address systematic issues to maintain low time-to-change with high change-confidence levels.
- Work on integrating AI-powered features (e.g. automatic field detection), collaborating with dedicated AI teams.
- Participate in team activities and rituals: code review, on-call rotation, planning, PBR, retro, daily standups,
- Collaborate with the broader team (track level, consisting of 5 teams)
Our stack:
- Java 17/21 with Spring Boot 3
- PostgreSQL 17 as our primary database
- Kafka for async communication patterns
- Temporal for managing asynchronous workflows
- JUnit and automated testing frameworks
- Amazon Web Services
- Docker, Kubernetes
- Distributed monitoring stack (traces, logs, metrics)
About you:
- 5+ years of experience as a Software Engineer.
- Experience working with production systems, including on-call responsibilities.
- Strong experience with Java and Spring Boot (Java 17/21, Spring Boot 3).
- Solid understanding of microservices architecture, distributed systems, and asynchronous communication (Kafka).
- Experience with relational databases (SQL, performance optimization), ideally PostgreSQL.
- Good knowledge of testing practices (JUnit, automated testing).
- Strong system design and problem-solving skills.
- Experience across the full development lifecycle, from design to deployment and monitoring.
- Ability to stay calm and effective during incident handling.
- Strong communication skills and ability to collaborate in English (written and spoken).
Company Overview:
PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.
Company Culture:
We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
Check out our LinkedIn to learn more.
Benefits:
- Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
- We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters.
- Work schedule aligned with EU time zones.
- Honest, open culture that values constructive feedback.
- Professional and personal development within a collaborative, supportive team.
- Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
EXTERNAL RECRUITERS
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.
Ready to apply?
Apply to PandaDoc
Senior Software Engineer
Company description
At PandaDoc, we're building the future of documents.
Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative.
We’re a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.
Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.
Currently, PandaDoc is seeking a Senior Java Engineer to join our Document App Track.
The Document App Track focuses on the core entity of PandaDoc — documents. We build the systems that allow users to create, import, process, and export documents at scale. In this team, we are tackling the challenge of building and maintaining mission-critical backend services that power PandaDoc document import and export (PDF, DOCX, and other formats). Our goal is to ensure high system reliability, streamline release processes, and maintain production service stability. We own several business-critical services and are responsible for making them robust, efficient, and scalable to support our company’s growth.
Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda, and we want you to join our team.
In this role, you will:
- Design, build, test, and deliver features to production as part of a 5-person team.
- Keep production services stable (maintaining SLO), react to alerts and incidents.
- Face and overcome multiple scale-related technical problems in distributed systems.
- Find and address systematic issues to maintain low time-to-change with high change-confidence levels.
- Work on integrating AI-powered features (e.g. automatic field detection), collaborating with dedicated AI teams.
- Participate in team activities and rituals: code review, on-call rotation, planning, PBR, retro, daily standups,
- Collaborate with the broader team (track level, consisting of 5 teams)
Our stack:
- Java 17/21 with Spring Boot 3
- PostgreSQL 17 as our primary database
- Kafka for async communication patterns
- Temporal for managing asynchronous workflows
- JUnit and automated testing frameworks
- Amazon Web Services
- Docker, Kubernetes
- Distributed monitoring stack (traces, logs, metrics)
About you:
- 5+ years of experience as a Software Engineer.
- Experience working with production systems, including on-call responsibilities.
- Strong experience with Java and Spring Boot (Java 17/21, Spring Boot 3).
- Solid understanding of microservices architecture, distributed systems, and asynchronous communication (Kafka).
- Experience with relational databases (SQL, performance optimization), ideally PostgreSQL.
- Good knowledge of testing practices (JUnit, automated testing).
- Strong system design and problem-solving skills.
- Experience across the full development lifecycle, from design to deployment and monitoring.
- Ability to stay calm and effective during incident handling.
- Strong communication skills and ability to collaborate in English (written and spoken).
Company Overview:
PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.
Company Culture:
We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
Check out our LinkedIn to learn more.
Benefits:
- Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
- We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters.
- Work schedule aligned with EU time zones.
- Honest, open culture that values constructive feedback.
- Professional and personal development within a collaborative, supportive team.
- Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
EXTERNAL RECRUITERS
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.
Ready to apply?
Apply to PandaDoc
Senior Software Engineer
Company description
At PandaDoc, we're building the future of documents.
Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative.
We’re a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.
Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.
Currently, PandaDoc is seeking a Senior Java Engineer to join our Document App Track.
The Document App Track focuses on the core entity of PandaDoc — documents. We build the systems that allow users to create, import, process, and export documents at scale. In this team, we are tackling the challenge of building and maintaining mission-critical backend services that power PandaDoc document import and export (PDF, DOCX, and other formats). Our goal is to ensure high system reliability, streamline release processes, and maintain production service stability. We own several business-critical services and are responsible for making them robust, efficient, and scalable to support our company’s growth.
Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda, and we want you to join our team.
In this role, you will:
- Design, build, test, and deliver features to production as part of a 5-person team.
- Keep production services stable (maintaining SLO), react to alerts and incidents.
- Face and overcome multiple scale-related technical problems in distributed systems.
- Find and address systematic issues to maintain low time-to-change with high change-confidence levels.
- Work on integrating AI-powered features (e.g. automatic field detection), collaborating with dedicated AI teams.
- Participate in team activities and rituals: code review, on-call rotation, planning, PBR, retro, daily standups,
- Collaborate with the broader team (track level, consisting of 5 teams)
Our stack:
- Java 17/21 with Spring Boot 3
- PostgreSQL 17 as our primary database
- Kafka for async communication patterns
- Temporal for managing asynchronous workflows
- JUnit and automated testing frameworks
- Amazon Web Services
- Docker, Kubernetes
- Distributed monitoring stack (traces, logs, metrics)
About you:
- 5+ years of experience as a Software Engineer.
- Experience working with production systems, including on-call responsibilities.
- Strong experience with Java and Spring Boot (Java 17/21, Spring Boot 3).
- Solid understanding of microservices architecture, distributed systems, and asynchronous communication (Kafka).
- Experience with relational databases (SQL, performance optimization), ideally PostgreSQL.
- Good knowledge of testing practices (JUnit, automated testing).
- Strong system design and problem-solving skills.
- Experience across the full development lifecycle, from design to deployment and monitoring.
- Ability to stay calm and effective during incident handling.
- Strong communication skills and ability to collaborate in English (written and spoken).
Company Overview:
PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.
Company Culture:
We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
Check out our LinkedIn to learn more.
Benefits:
- Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
- We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters.
- Work schedule aligned with EU time zones.
- Honest, open culture that values constructive feedback.
- Professional and personal development within a collaborative, supportive team.
- Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
EXTERNAL RECRUITERS
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.
Ready to apply?
Apply to PandaDoc
Web Scraping Engineer, Mi-Platform
A Career with Point72’s Market Intelligence Team
Point72’s Market Intelligence team is responsible for developing proprietary research products, providing data and research management services for investment teams, to support their pursuit of superior, risk-adjusted returns. We leverage innovative alternative data sources, advanced data analytics and technologies, as well as deep fundamental research to create high-quality compliant and differentiated research. Backed by the full resources of Point72, our sector-aligned teams collaborate to solve important research problems in partnership with the Firm’s investment and compliance professionals.
What you’ll do
As a Data Engineer focused on Web Scraping, you will be building solutions for processing big and unstructured data sets at Point72. You will be responsible for extracting and ingesting data from websites, using compliance-approved web crawling tools. In this role you will:
- Own the creation process of these tools, services, and workflows to improve crawl/scrape analysis, reports and data management
- Be responsible for testing the data and the scrape to ensure accuracy, quality, and compliance
- Own the process to identify and rectify any issues with breaks as well as scale scrapes as needed
What’s required
- Solid Python and SQL knowledge
- Experience in running automated programs at scale
- Working experience with cloud-based technologies
- Familiarity with Linux/UNIX, HTTP, HTML, JavaScript and Networking,
- Familiarity with common techniques and tools for crawling, extracting and processing data (e.g., Requests BeautifulSoup, Scrapy, Pandas, Selenium, Spark, etc.)
- Working knowledge of version control systems and open source practices
- Great analytical and problem-solving skills
- Great communication skills (written and spoken in English)
- Bachelor's Degree in Computer Science or a related field or the equivalent demonstrated experience
- Experience with extracting text from PDFs, images, applications, etc. is a plus
- Experience with system monitoring / administration tools is a plus
- Experience with working with applications designed to display archived web content is a plus
- Commitment to the highest ethical standards
- Prior experience with analyzing big data sets
We take care of our people
We invest in our people, their careers, health, and well-being. We want you to concentrate on the success and leave the rest to us. When you work here, we provide:
- Sports card
- Private life insurance
- Private medical and dental care, with vision allowance
- Private pension scheme
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Business travel accident insurance
- Employee assistance program
- Educational assistance reimbursement
About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We’re looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at Point72.com/Warsaw.
Ready to apply?
Apply to Point72
About us
At Auctane, we are united by a passion to help businesses deliver — whatever their size, wherever they are, and however they operate. We make it possible for businesses to meet the ever-changing requirements of their industry and customer expectations. Auctane products enable hundreds of thousands of businesses to annually mail and ship billions of items — over $200 billion worth — to recipients around the globe.
The Auctane family of mailing and shipping software products includes ShipStation, Stamps.com, ShipStation API, Metapack, GlobalPost, and Packlink. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart.
Our values
Win as One. Delight Customers. Deliver Great Outcomes.
About the role
This is a hands-on role for a Senior Data Engineer sitting within the Data Products team. In this role, you will have an enormous impact on the design, implementation, and maintenance of existing and greenfield customer-facing data products. Data is key to Auctane’s strategy. We work at a scale pace and with the latest architecture patterns and tech. We process thousands of events per second, and our massive dataset keeps growing at a staggering pace. We keep improving our data platform and data engineering stack to accommodate growth, enable novel solutions, and provide the best service to our customers. We have a flat and open engineering culture where data & evidence beat opinion and hierarchy, backed by honest discussions. We passionately believe in forming autonomous, cross-functional teams who are empowered to deliver our ambitious strategy. Energy and passion for our business and customers are a part of the Auctane culture – and we love working with like-minded people.
What will you be doing?
- Contribute to the design, build, and operational management of our data pipelines and analytics solution on top of proven AWS data technologies like S3, Athena, Lambda, and Kinesis.
- Collaborate with the Product Owner and other stakeholders to implement the Data Products strategy.
- Develop frameworks and solutions that enable us to acquire, process, monitor and extract value from our massive dataset.
- Drive the design and architecture of Auctane’s data product.
- Contribute directly to the implementation and operations of our systems.
- Be an advocate of data quality and observability principles and use state-of-the-art technologies like Airflow, dbt, and Spark to process data and get our datasets just right.
- Foster engineering excellence by delivering highly reliable software and data pipelines using Software Engineering best practices like automation, version control, continuous integration/continuous delivery, testing, security, etc.
What are we looking for?
- At least 5 years of proven experience in data engineering roles
- A strong Data Engineering background in a data warehouse or data lake architecture
- Experience working in AWS/GCP cloud infrastructure.
- Experience developing and supporting robust, automated, and reliable data pipelines in Python and SQL.
- Mastered Python and SQL skills.
- Experience with data processing frameworks like Spark, Athena, or Pandas.
- Knowledge of Data Orchestration solutions, preferably Airflow.
- Knowledge of relational database design as well as Snowflake/Redshift or similar
What will make you stand out?
- Production experience working with very large datasets.
- Experience with AWS and big data cloud technologies like EMR, Athena, Glue, and EC2.
- Direct experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation)
- Knowledge and direct experience in using business intelligence and analytics tools (Tableau, Looker, Power BI, etc.)
- A desire to constantly challenge the norm Proven track record of promoting and maintaining high engineering standards.
- Fast learner with a keen interest in evaluating and adopting new technologies: Apache Iceberg, Dagster, DBT, GreatExpectations, Prefect, Snowflake, etc.
- Understanding of core ML concepts like supervised and unsupervised learning, overfitting, and cross-validation as well as LLM concepts like fine-tuning, etc.
Tech stack
Python SQL Amazon Web Services C# .NET
What do we offer?
-
🗓️ Annual Salary Review: We are reviewing the salaries of all our teams annually in order to evaluate an increase according to individual performance and the business results.
-
📦 99% discount on your personal shipment orders via Packlink.pro
-
💙 Up to 500PLN/year to match your NGO donations! We are happy to support your initiatives by duplicating the amount donated.
-
😊 Volunteer day. You can take 1 day off per year in order to participate in volunteering activities! We will love to see some pictures in our slack!
-
Referral Fee 🔗 We need your support in hiring top-class talent! We offer a referral bonus of 4-20k, depending on the complexity of the role and the hiring process.
-
👩⚕️We have an Employee Assistance Program with psychological assistance free of charge.
-
⚖️ Great work-life balance We offer a flexible work schedule and will do our best to adapt to your personal situation. Working in a fast-paced environment can be intense, but that doesn’t mean you shouldn’t enjoy your free time!
-
💜 An inclusive and upbeat work environment Leave your suit behind... we’re a t-shirt and converse kind of place! More importantly, our company culture promotes diversity and inclusion. The personality and opinions of each of our team members are important and valid, and we aim to offer all employees a safe environment where they can be themselves and thrive.
-
🌍 A cross-cultural atmosphere We are a truly international team of 20 nationalities that speak 10 languages. Our company language is English and all internal communication and company-wide meetings are in English.
-
🏟️ Company events Work hard, play hard! We do our best every day, even at our regular team-building events.
-
📺 Internal and external training, free access to online training platforms such as Linkedin Learning
-
🏠 Possibility to work in a home-office using equipment provided by AUCTANE, or in our office prepared in accordance with all safety requirements.
-
📙 Personal Training Budget. Up to 7000 PLN/year training budget (certifications, conferences attendance, etc.) to invest in your professional development. We want to help you improve your technical skills, feel involved in the product community, and develop your soft skills to lead teams and manage other stakeholders.
-
🌅 Up to 30 days of vacation per year (additional days are granted along with seniority at AUCTANE).
-
🗺️ Languages classes every week. Thirsty for knowledge? Learn a new language by joining our free English/Spanish/German classes. You can connect and enjoy taking up a new language or improving your current skills with one of our great instructors.
-
🏥 Free private medical insurance.
-
📄 Attractive life insurance.
-
🏐 Co-financing for sports and recreational activities
-
🏐 Gym membership co-financing
-
🏢 Nice Office in Zielona Gora and Wroclaw (free drinks, snacks…)
-
Do you want to know a little bit more about the team? Please, don’t hesitate to reach out to Amazing Auctane-PL and our Instagram
#LI-HYBRID
Ready to apply?
Apply to AuctaneAbout the Role
We are hiring a Director of Product, Core Platform & Mobile to build and lead a team focused on unifying user experience across PandaDoc’s web and mobile applications.
Surfaces is where PandaDoc meets its users every day. This team is responsible for creating elegant, fast, and reliable experiences across mobile, web, and recipient-facing touchpoints. As Director of Product for Surfaces, you will own the experience layer of our platform—how customers and their recipients interact with documents, collaborate, and navigate the product across web, mobile and chat/ai.
In this role, you will:
You will lead a cross-functional product group that spans:
- Mobile: Our iOS and Android applications and mobile-first experiences.
- Core Platform: Internal tooling, billing, account administration, roles & permissions, and platform-wide navigation.
- Design Framework Adoption: In partnership with our VPUX, you will ensure our UI kit, design system, and visual language are adopted consistently across teams.
- Critical Flows & UX: You will lead teams polishing our top user journeys (create, send, sign, pay) and improving information architecture across the platform.
This role is ideal for a product leader who thrives at the intersection of usability, design, and scale.
About you:
- 8+ years of product management and design experience, with 3+ years in a leadership role.
- Strong background in user experience, design systems, and collaboration products; experience scaling recipient-facing surfaces (consumer-grade SaaS or marketplace a plus).
- Proven success shipping mobile apps at scale .
- Track record of improving critical flows and IA in a complex product.
- Well versed in agentic AI, technical and hands-on enough to build your own agents.
- Exceptional leadership skills: able to inspire, mentor, and drive alignment across multiple product areas.
- Analytical and data-driven, but equally comfortable advocating for usability and design polish. Comfortable saying “No” to features and initiatives that promote local maximums at the expense of the over-all product experience.
- Passionate about making complex workflows simple, intuitive, and delightful.
- Based in Europe or US East Coast.
Company Overview:
PandaDoc empowers more than 67,000 growing organisations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.
Company Culture:
We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
Check out our LinkedIn to learn more.
Benefits
- Competitive salary. If you are located in Poland the salary range is: 48,000-64,000 PLN per month
- Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
- We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters).
- Work schedule aligned with EU time zones.
- Honest, open culture that values constructive feedback.
- Professional and personal development within a collaborative, supportive team.
Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
Ready to apply?
Apply to PandaDoc
Software Engineer
Company description
At PandaDoc, we're building the future of documents.
Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative.
We’re a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.
Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.
Currently, PandaDoc is seeking a Middle Python Engineer to join our Document App Track. The role is part of the Document Domain team, which owns one of the most critical components of our platform - the document itself. This team is responsible for the core functionality that powers document creation, editing, and management across the product. The responsibilities include improving reliability, maintaining high quality standards, and enhancing developer experience while evolving the document platform to support new product capabilities. You will also have a chance to contribute to the long term domain excellence strategy. Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda, and we want you to join our team.
In this role, you will:
- Contribute to the vision and the architecture of the key component of the application - Document domain
- Face and overcome multiple scale-related technical challenges
- Finding and addressing systematic issues to maintain low time-to-change for other developers with a high change-confidence level
Our stack:
- Microservice fleet around a large monolithic application in Django
- PostgreSQL, Redis, Memcached
- Python, Django
- Amazon Web Services
- Docker, Kubernetes
- Kafka, NATS
- AsyncIO
- Grafana Monitoring Stack: Loki, Tempo, Mimir, Grafana
About you:
- At least 3+ years of development experience with Python
- Experience with any relational databases (SQL queries, migrations, optimization)
- Experience with message queues (e.g. RabbitMQ, NATS, Kafka)
- Understanding of event-based systems and basics of DDD
- Strong understanding and experience in AsyncIO
- Good understanding of the development cycle from requirements analysis and deployment to application monitoring
- Hands-on experience in developing applications within both monolithic and microservice architectures
- Communicate effectively in English, both orally and in writing
Company Overview:
PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.
Company Culture:
We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
Check out our LinkedIn to learn more.
Benefits:
- Competitive salary. If you're located in Poland, the salary range is 208000 - 312000 PLN annually.
- Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
- We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters.
- Work schedule aligned with EU time zones.
- Honest, open culture that values constructive feedback.
- Professional and personal development within a collaborative, supportive team.
- Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
EXTERNAL RECRUITERS
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.
Ready to apply?
Apply to PandaDoc
Mobile Team Lead (stack: React Native, React, JS, TS)
Share this job
About the Role
80% tech leadership + hands on, 20% people management
PandaDoc is looking for a Team Lead to join our Application Platform track - Mobile Team, focusing on mobile architecture and core UX foundations. This is a hands-on technical leadership role, where you’ll guide the team, shape the mobile architecture, and contribute directly to building the PandaDoc mobile apps
You will lead a team of talented engineers, set technical direction, and ensure the delivery of high-quality, scalable solutions. You will also mentor engineers, help define career paths, and create an environment where your team can thrive while delivering impactful work.
As a Team Lead for Mobile team, you will balance technical ownership and team leadership, making key architectural decisions while ensuring the team delivers efficiently and reliably.
What You’ll Do
Technical Leadership & Execution
- Own and evolve the architecture of PandaDoc’s mobile applications across different platforms (iOS, Android) on React Native
- Drive technical decisions and set standards for code quality, testing, performance, and cross-team integrations.
- Develop shared infrastructure, libraries, and components to be used across multiple teams.
- Improve developer experience, tooling, workflows, and CI/CD pipelines for mobile development.
- Collaborate with product managers, designers, and other engineering leads to translate product strategy into actionable engineering roadmaps.
- Balance tech debt and new feature development while maintaining high reliability and performance.
Team Leadership & Growth
- Lead and mentor a team of engineers, providing guidance on career growth, skill development, and technical challenges.
- Establish effective processes for team delivery, collaboration, and knowledge sharing.
- Set ambitious goals and help your team achieve them.
- Recruit, onboard, and retain top mobile engineering talent.
Cross-Functional Collaboration
- Work closely with track leadership to contribute to company- and track-wide initiatives.
- Partner with product, design, and QA teams to ensure the mobile experience aligns with PandaDoc’s strategy and customer needs.
- Drive continuous improvement across mobile engineering practices, ensuring efficiency and predictability.
About You
- 8+ years of engineering experience, with significant experience in mobile development and hands-on coding.
- Proven experience leading mobile architecture and cross-platform solutions (React Native, iOS, Android).
- Strong knowledge of React, TypeScript, modern JavaScript, and mobile development best practices.
- Experience building shared libraries, UI components, navigation frameworks, or developer tooling.
- Previously contributed to delivery processes and improving engineering efficiency.
- Strong interpersonal and communication skills; able to influence and mentor engineers.
- Experienced in working in a product organization, balancing business and technical priorities.
- Self-starter who thrives in a fast-changing environment and is customer- and product-focused.
- Hands-on problem solver who can balance technical execution with team leadership responsibilities.
Why PandaDoc
PandaDoc empowers more than 60,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.
-
Company Culture
We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. Our attainment of awards such as Best Workplace, Best StartUp Employer and a Stevie Award for Best Employers demonstrate our commitment to our culture.
Check out LinkedIn to learn more.
Benefits
- Competitive salary (If you are located in Poland the salary range is 275k-415k PLN annually/gross)
- Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
- We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters).
- Work schedule aligned with EU time zones.
- Honest, open culture that values constructive feedback.
- Professional and personal development within a collaborative, supportive team.
- Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
EXTERNAL RECRUITERS
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.
Ready to apply?
Apply to PandaDoc