Pandas Jobs in Portugal.
All active Pandas roles based in Portugal.
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Product Analyst, OX
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Highlights:
Location: Portugal, 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
- Private medical insurance for the employee and their family
- 22 paid vacation days per year
- Up to 14 paid public holidays per year
- 5 company-paid sick leave days
- English learning courses.
- Relevant professional education.
- Gym or swimming pool.
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- Co-working.
- Remote working.
- €50 monthly allowance to cover internet and mobile phone expenses
**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
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Highlights
Location: Portugal, 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
- Private medical insurance for the employee and their family
- 22 paid vacation days per year
- Up to 14 paid public holidays per year
- 5 company-paid sick leave days
- English learning courses.
- Relevant professional education.
- Gym or swimming pool.
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- Co-working.
- Remote working.
- €50 monthly allowance to cover internet and mobile phone expenses
**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
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Highlights:
Role: Senior ML-Engineer, Finance
Location: Portugal, 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
- Private medical insurance for the employee and their family
- 22 paid vacation days per year
- Up to 14 paid public holidays per year
- 5 company-paid sick leave days
- English learning courses.
- Relevant professional education.
- Gym or swimming pool.
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- Co-working.
- Remote working.
- €50 monthly allowance to cover internet and mobile phone expenses
**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, Donor Portal
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Highlights:
Location: Portugal, 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
- Private medical insurance for the employee and their family
- 22 paid vacation days per year
- Up to 14 paid public holidays per year
- 5 company-paid sick leave days
- English learning courses.
- Relevant professional education.
- Gym or swimming pool.
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- Co-working.
- Remote working.
- €50 monthly allowance to cover internet and mobile phone expenses
**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
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Highlights:
Role: Senior ML-Engineer
Location: Portugal, 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
- Private medical insurance for the employee and their family
- 22 paid vacation days per year
- Up to 14 paid public holidays per year
- 5 company-paid sick leave days
- English learning courses.
- Relevant professional education.
- Gym or swimming pool.
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- Co-working.
- Remote working.
- €50 monthly allowance to cover internet and mobile phone expenses
**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
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Highlights:
Location: Portugal, 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
- Private medical insurance for the employee and their family
- 22 paid vacation days per year
- Up to 14 paid public holidays per year
- 5 company-paid sick leave days
- English learning courses.
- Relevant professional education.
- Gym or swimming pool.
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- Co-working.
- Remote working.
- €50 monthly allowance to cover internet and mobile phone expenses
**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
Cision has one of the largest media and content databases on Earth. Our data science team works on building intelligent and high-impact features driven by machine learning and NLP.
As a Staff Data Scientist, you will be part of our Machine Learning and Data Science team that build and deploy machine learning models used directly in our products. You will work on complex, high-visibility problems and collaborate closely with engineering, product, and analytics teams to turn prototypes into production-grade solutions.
This role is ideal for someone who operates with strong ownership, delivers high-quality work at pace, and acts as a subject-matter expert on key ML components or services.
Key Responsibilities
Develop and deliver complex machine learning and NLP solutions end-to-end.
Analyze large datasets to uncover insights, design features, and guide modeling decisions.
Build, test, and deploy ML models into production systems in partnership with engineering teams.
Work independently to create tools, frameworks, and reusable components that accelerate model development.
Collaborate cross-functionally with product managers, engineers, and analysts to translate prototypes into production-grade models and services.
Demonstrate sound judgment around risk, workload management, prioritization, and escalation.
Act as a go-to SME for your domain and contribute significantly to team commitments and delivery.
Required Qualifications
8+ years of professional experience in a software or ML engineering environment.
5+ years applying advanced statistical or machine learning techniques to real-world business problems.
Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Machine Learning) or equivalent practical experience.
Proven track record of delivering ML solutions used in production.
Strong proficiency with Python and ML-focused libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with cloud-based ML workflows in GCP and/or AWS (Kubernetes, Nvidia Triton, Vertex AI, Sagemaker, and similar tools)
Proficiency with database query languages (QL) and experience working with large-scale datasets.
Ability to clearly communicate complex technical concepts to non-technical audiences.
Strong sense of ownership, accountability, and commitment to quality.
Preferred Qualifications
Experience with modern NLP techniques and pretrained model ecosystems.
Experience building scalable data pipelines or model-serving architectures.
Familiarity with MLOps concepts and practices.
Experience in building production-quality and scalable inf inerence systems with Python, Java, or general-purpose languages.
What Your Day-to-Day Might Look Like
Experimenting with various modeling techniques using GCP Vertex AI or AWS SageMaker.
Analyzing model performance and implementing strategies to improve accuracy, robustness, and reliability.
Designing and engineering new features based on exploratory data analysis.
Identifying, evaluating, and adapting open-source models to solve NLP and ML tasks.
Partnering with engineers to optimize ML models for deployment and monitoring.
Ready to apply?
Apply to Cision
Cision has one of the largest media and content databases on Earth. Our data science team works on building intelligent and high-impact features driven by machine learning and NLP.
As a Staff Data Scientist, you will be part of our Machine Learning and Data Science team that build and deploy machine learning models used directly in our products. You will work on complex, high-visibility problems and collaborate closely with engineering, product, and analytics teams to turn prototypes into production-grade solutions.
This role is ideal for someone who operates with strong ownership, delivers high-quality work at pace, and acts as a subject-matter expert on key ML components or services.
Key Responsibilities
Develop and deliver complex machine learning and NLP solutions end-to-end.
Analyze large datasets to uncover insights, design features, and guide modeling decisions.
Build, test, and deploy ML models into production systems in partnership with engineering teams.
Work independently to create tools, frameworks, and reusable components that accelerate model development.
Collaborate cross-functionally with product managers, engineers, and analysts to translate prototypes into production-grade models and services.
Demonstrate sound judgment around risk, workload management, prioritization, and escalation.
Act as a go-to SME for your domain and contribute significantly to team commitments and delivery.
Required Qualifications
8+ years of professional experience in a software or ML engineering environment.
5+ years applying advanced statistical or machine learning techniques to real-world business problems.
Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Machine Learning) or equivalent practical experience.
Proven track record of delivering ML solutions used in production.
Strong proficiency with Python and ML-focused libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with cloud-based ML workflows in GCP and/or AWS (Kubernetes, Nvidia Triton, Vertex AI, Sagemaker, and similar tools)
Proficiency with database query languages (QL) and experience working with large-scale datasets.
Ability to clearly communicate complex technical concepts to non-technical audiences.
Strong sense of ownership, accountability, and commitment to quality.
Preferred Qualifications
Experience with modern NLP techniques and pretrained model ecosystems.
Experience building scalable data pipelines or model-serving architectures.
Familiarity with MLOps concepts and practices.
Experience in building production-quality and scalable inf inerence systems with Python, Java, or general-purpose languages.
What Your Day-to-Day Might Look Like
Experimenting with various modeling techniques using GCP Vertex AI or AWS SageMaker.
Analyzing model performance and implementing strategies to improve accuracy, robustness, and reliability.
Designing and engineering new features based on exploratory data analysis.
Identifying, evaluating, and adapting open-source models to solve NLP and ML tasks.
Partnering with engineers to optimize ML models for deployment and monitoring.
Ready to apply?
Apply to Cision
PandaDoc is hiring a Principal Product Manager to lead the evolution of our Document Experience — redefining how professionals create, refine, collaborate on, and complete documents in an increasingly AI-driven world.
You’ll own the strategy and execution of PandaDoc’s core document experiences, shaping how structured content, collaboration, and intelligent assistance come together into cohesive workflows. Your work will help customers move faster from ideas to finalized agreements by making document creation more intuitive, adaptive, and connected.
This is a senior, hands-on role for a product leader who thrives at the intersection of user experience, platform systems, and applied AI. You’ll guide multiple squads, align cross-functional partners, and translate emerging technologies into scalable product systems — balancing exploration with disciplined delivery.
In this role, you will
- Lead high-impact initiatives across document creation, authoring and collaboration experiences.
- Shape cohesive end-to-end document workflows, ensuring users can move naturally from drafting to completion.
- Integrate AI capabilities directly into document experiences — including authoring, refinement, structure, and automation — with a focus on real user outcomes.
- Define product direction for modern document systems, blending structured content, intelligent assistance, and collaborative workflows.
- Partner closely with design, engineering, AI platform, and core platform teams on APIs, integrations, and data models that enable scalable experiences.
- Collaborate with other senior PMs to ensure consistent, connected journeys across PandaDoc.
- Drive continuous improvement through experimentation, customer feedback, and product telemetry.
- Shape the long-term direction of PandaDoc’s Document Domain, ensuring flexibility, coherence, and readiness for evolving AI-powered capabilities.
About You
- 7+ years of hands-on product management experience in B2B SaaS, ideally across document creation, productivity, collaboration, or content platforms.
- Proven experience owning complex user-facing domains end-to-end — from strategy through delivery and iteration.
- Familiar with document systems, structured content, and cross-format editing models (PDF, DOCX, Markdown, or AI-generated content).
- Direct experience shipping AI-powered product features, including defining UX behavior, rollout strategies, and iteration based on real-world usage.
- Comfortable integrating AI into workflows thoughtfully, focusing on measurable user outcomes rather than standalone capabilities.
- Skilled in rapid discovery and iteration using prototypes, experiments, and AI-assisted tools.
- Demonstrated AI fluency — using AI for analysis, prototyping, and workflow automation, with strong judgment to translate ambiguous AI capabilities into dependable product experiences.
- Strong communicator who simplifies complexity, frames trade-offs clearly, and aligns cross-functional teams.
- Pragmatic and execution-oriented, balancing experimentation with prioritization and delivery discipline.
- Comfortable partnering with deeply technical teams on system design, APIs, and platform constraints.
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.
- If you are based in Poland, the salary range is 31,000-40,000 PLN per month.
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.
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Ready to apply?
Apply to PandaDoc
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.
Benefits:
- A competitive salary. If you are located in Poland, the salary range is 222000 to 334000 PLN annually.
- An honest, open culture that emphasizes feedback and promotes professional and personal development
- An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
- 6 self care days
- And much more!
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
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We're a leading SaaS provider revolutionising how fintech companies navigate complex regulatory landscapes. Our platform powers compliance and risk management for hundreds of innovative financial services companies, from emerging startups to established enterprises. We believe in empowering our teams to solve meaningful problems and create exceptional value for our customers.
Role Summary
As a Senior Data Scientist at ComplyAdvantage, you will lead the development and refinement of sophisticated data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, where you will spend 80% of your time conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value over 3-6 month horizons. In addition to driving deep-dive R&D, you will provide expert advisory support and technical leadership to Product and Engineering teams. By leading AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features while mentoring more junior members of the tribe.
Key Responsibilities
- Lead R&D in GenAI and Agentic AI: Design and prototype high-impact, novel solutions for financial crime detection, focusing on multi-agent systems and RAG architectures built on foundational LLM frameworks.
- Drive Production Excellence: Partner with Engineering and Product leadership to architect and oversee the integration of AI components into core product features. You will define the standards for reliability, scalability, and ethical AI performance, ensuring research prototypes transition into robust, production-grade solutions.
- Establish Evaluation Frameworks: Lead the development of robust evaluation methodologies for LLM and agentic AI systems, defining industry-standard metrics for task completion, reasoning accuracy, and system reliability.
- Evaluate Model Context Protocol (MCP): Research applications to connect our AI systems with external data sources and tools, providing strategic recommendations for engineering implementation.
- Strategic Data Insights: Conduct advanced exploratory analysis across multiple data sources to uncover insights that directly influence product development decisions and agent behavior.
- Research & Innovation: Continuously research and evaluate emerging tools and best practices in data science and Agentic AI to keep ComplyAdvantage at the forefront of the field.
- Technical Leadership & Mentoring: Engage across multi-disciplinary teams to share expertise, perform code reviews, and provide career development support to junior data scientists.
Required Qualifications
- MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
- 4-7 years of professional experience in data science or machine learning, with a demonstrable impact on production systems.
- Expert-level proficiency in Python, including the core data science ecosystem such as Pandas, NumPy, and Scikit-learn.
- Deep experience with modern ML frameworks (e.g., TensorFlow, PyTorch) for advanced research and prototyping.
- Strong expertise in Agentic AI and LLMs: Advanced knowledge of agentic AI frameworks (e.g., LangChain, Pydantic AI) and experience optimising retrieval systems like RAG.
- Experience with Distributed Computing: Practical knowledge of platforms like Spark or Dask for large-scale data analysis.
- Technical Leadership: Proven track record of leading technical research projects with successful production outcomes and communicating complex concepts to diverse audiences.
Preferred Qualifications
- Experience delivering machine learning solutions and integrating into data pipelines.
- Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
- Experience working with or evaluating multi-agent systems or complex GenAI workflows.
What Success Looks Like
- In 90 days: You have successfully onboarded, mastered our data landscape, and begun contributing to active research projects while building relationships with key stakeholders.
- In 6 months: You have delivered your first significant research project with measurable impact and established yourself as a technical leader and effective mentor.
- In 12 months: You have led multiple successful R&D initiatives that have shaped our technical roadmap and been recognized as a subject matter expert who empowers other teams.
About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.
What’s in it for you?
- Equity as we want you to have a part of what we are building
- Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
- Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best
- We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
- You will also get a new starter budget to kit out your home office
- Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve
- Annual learning budget (prorated based on start date) to drive your performance and career development
About us:
Our mission is to empower every business to eliminate financial crime.
By harnessing AI, a unified platform, and an extensive partner ecosystem, we help customers turn compliance into a catalyst for growth, operational resilience, and enduring regulatory trust.
More than 3,000 enterprises across 75 countries rely on our end-to-end platform and the world’s most comprehensive financial crime risk intelligence. With full-stack agentic automation, we help organizations automate up to 95% of KYC, AML, and sanctions reviews, cut onboarding times by 50%, reduce false positives by 70%, and handle 7x more work with the same staff.
ComplyAdvantage is headquartered in London and has global hubs in New York, Lisbon, Singapore, and Cluj-Napoca. It is backed by Balderton Capital, Index Ventures, Ontario Teachers’ Pension Plan, Goldman Sachs, and Andreessen Horowitz. Learn more about compliance re-engineered for the age of AI at complyadvantage.com.
Ready to apply?
Apply to ComplyAdvantage
The Opportunity
As a Staff Data Scientist at PandaDoc, you will serve as a senior analytical leader, embedding yourself deeply in our product and business data to uncover non-obvious insights and drive actionable recommendations. A primary focus of this strategic role is to champion and drive the organizational shift toward a data-driven culture. You will own the advancement of our experimentation capabilities, train other analysts and data scientists on causal methodologies, and leverage your expertise to provide leadership with a clear, reliable understanding of true impact and causality.
You will report to the Director of GTM Data and act as a strategic thought partner to Go-to-Market teams, Marketing, Product, Finance, Design, Engineering, and executive leadership, ensuring alignment between data insights and critical business decisions.
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.
- Check out our LinkedIn to learn more.
Benefits:
- Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans, and of course, a fun team of Pandas to work with!
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
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
Data Scientist
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Role Summary
As a Data Scientist at ComplyAdvantage, you will develop and refine data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value. In addition to deep-dive R&D, you will provide advisory support to Product and Engineering teams. By investing in AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features.
Key Responsibilities
- Advance R&D in GenAI and Agentic AI: Develop high-impact prototypes for financial crime detection, leveraging multi-agent systems and RAG architectures built on foundational LLM frameworks.
- Contribute to Core Solutions: Collaborate with Engineering and Product to integrate and optimise AI components and frameworks into existing and new product features, ensuring reliability, scalability, and ethical performance in production.
- Evaluate LLM-based Systems: Contribute to the development and implementation of robust evaluation methodologies for LLM and agentic AI based systems, tracking key metrics related to task completion, reasoning accuracy, tool effectiveness, and overall reliability.
- Evaluate Model Context Protocol (MCP) applications: Connect our AI systems with external data sources and tools and provide recommendations for engineering implementation
- Data Understanding: Develop a solid understanding of our existing data sources, identifying challenges and suggesting potential improvements.
- Data Analysis: Use exploratory data analysis and data mining techniques to identify actionable insights for product improvement, including patterns that can inform and refine agent behavior and prompt engineering strategies.
- Research & Innovation: Continuously research and evaluate emerging tools, technologies, and best practices in data science, especially within the rapidly evolving field of Agentic AI, to keep ComplyAdvantage at the forefront.
- Cross-Functional Collaboration: Engage effectively with multi-disciplinary teams to actively share best practices, expertise and inspire innovation to foster an AI-first culture across the organization.
- Visualization & Roadmapping: Provide clear data insights and visualizations that will act as a basis for new ideas to be integrated into our product roadmap.
Required Qualifications
- MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
- 2-4 years of professional experience in data science or a related field, with a demonstrated ability to contribute to impactful data-driven solutions.
- Proficiency in Python, including experience with core data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Hands-on experience with modern machine learning frameworks such as TensorFlow or PyTorch.
- Familiarity with the foundational concepts of agentic AI and large language models (LLMs). This can be professional or through personal research.
- Basic understanding of popular agentic AI frameworks (e.g., LangChain, Pydantic AI).
- Knowledge of general evaluation techniques for AI models and an eagerness to learn and apply methods specific to agentic systems.
- Ability to communicate complex technical concepts effectively to a variety of stakeholders.
- Strong passion for data and solving challenging real-world problems using algorithms.
Preferred Qualifications
- Prior experience contributing to the deployment and integration of machine learning models into production data pipelines.
- Exposure to Big Data platforms such as Spark.
- Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
- Experience working with or evaluating multi-agent systems or complex AI workflows.
What Success Looks Like
- In 90 days: You have successfully onboarded, gaining a clear understanding of our data landscape and current AI frameworks. You are actively contributing to R&D experiments and have established collaborative working relationships with peers in Engineering and Product.
- In 6 months: You have delivered your first significant R&D prototype or technical evaluation. You have begun contributing to our AI Enablement workstreams, perhaps by authoring a technical blog post or internal guide that translates your research findings into actionable knowledge for the wider team.
- In 12 months: You have completed multiple R&D initiatives that have shaped our technical roadmap. You are recognized for empowering other teams through your advisory support and quantitative expertise, consistently providing the "AI-first" insights that help Engineering and Product teams scale high-impact features.
About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.
What’s in it for you?
- Equity as we want you to have a part of what we are building
- Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
- Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best
- We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
- You will also get a new starter budget to kit out your home office
- Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve
- Annual learning budget (prorated based on start date) to drive your performance and career development
About us:
Our mission is to empower every business to eliminate financial crime.
By harnessing AI, a unified platform, and an extensive partner ecosystem, we help customers turn compliance into a catalyst for growth, operational resilience, and enduring regulatory trust.
More than 3,000 enterprises across 75 countries rely on our end-to-end platform and the world’s most comprehensive financial crime risk intelligence. With full-stack agentic automation, we help organizations automate up to 95% of KYC, AML, and sanctions reviews, cut onboarding times by 50%, reduce false positives by 70%, and handle 7x more work with the same staff.
ComplyAdvantage is headquartered in London and has global hubs in New York, Lisbon, Singapore, and Cluj-Napoca. It is backed by Balderton Capital, Index Ventures, Ontario Teachers’ Pension Plan, Goldman Sachs, and Andreessen Horowitz. Learn more about compliance re-engineered for the age of AI at complyadvantage.com.
Ready to apply?
Apply to ComplyAdvantage
About 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:
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.
- 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 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 5+ years of development experience with Python
- Experience with any relational databases (SQL queries, migrations, optimization)
- Solid 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
- Extensive 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.
- 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
The Opportunity
As a Staff Data Scientist at PandaDoc, you will serve as a senior analytical leader, embedding yourself deeply in our product and business data to uncover non-obvious insights and drive actionable recommendations. A primary focus of this strategic role is to champion and drive the organizational shift toward a data-driven culture. You will own the advancement of our experimentation capabilities, train other analysts and data scientists on causal methodologies, and leverage your expertise to provide leadership with a clear, reliable understanding of true impact and causality.
You will report to the Director of Product Data and act as a strategic thought partner to Product, Finance, Design, Engineering, Product Marketing, and executive leadership, ensuring alignment between data insights and critical business decisions.
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.
- Check out our LinkedIn to learn more.
Benefits:
- Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans, and of course, a fun team of Pandas to work with!
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
AI Engineer - Document Intelligence & Applied GenAI
Share this job
The landscape of AI is evolving rapidly, and PandaDoc is investing heavily in machine learning to power the next generation of intelligent document workflows. Our goal is to build scalable, production-grade AI systems that automate document understanding, extract structured data at scale, and enable new AI-first product experiences for tens of thousands of businesses.
As an ML Engineer focused on Document Intelligence and GenAI, you will design, train, evaluate, and optimize models that transform unstructured documents into high-quality structured data. You’ll work across the full stack of model development—datasets, training, inference, deployment pipelines—and help bring cutting-edge research into real production systems at scale.
What makes this role unique?
- Document Intelligence at Scale: Your work will directly power PandaDoc’s core AI capabilities—from layout detection and OCR to structured extraction, retrieval, and document-based reasoning.
- High Ownership, High Impact: You will design end-to-end ML systems, influence roadmap decisions, and work closely with product, engineering, and design to define requirements and ship production AI features.
- Real-World ML Challenges: You’ll tackle model robustness, evaluation, latency, observability, RAG quality, model routing, and the complexities of deploying AI systems that must perform reliably on millions of documents.
- Deep GenAI Integration: You’ll experiment with frontier and open-source models, integrate vision–language systems, and build efficient pipelines for inference, guardrails, fine-tuning, and document-aware reasoning.
In this role, you will:
- Model Development & Evaluation
- Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
- Define metrics, benchmarks, and validation strategies for real-world document workloads.
- Dataset & Pipeline Creation
- Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
- Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
- Model Training & Fine-Tuning
- Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
- Optimize models for reliability, accuracy, and cost efficiency in production environments.
- Inference & Deployment
- Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
- Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
- RAG & Document Reasoning
- Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
- Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
- Cross-Functional Collaboration
- Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.
About you:
We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.
We’re looking for someone with experience in:
- Vision transformers, layout models, and OCR systems
- Structured extraction from complex documents
- RAG for document-heavy workloads
- Optimizing LLM pipelines for cost, accuracy, and throughput
- Deploying and benchmarking models in real production systems
Required Experience
- 5+ years of Python experience
- Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
- Hands-on experience with document understanding frameworks and models:
- Traditional document AI models (LayoutLM, Donut, DocFormer)
- Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
- Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
- Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
- Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents
It would be awesome if you had:
- Familiarity with PDF parsing libraries and document preprocessing pipelines
- Experience fine-tuning open-source models for domain-specific document tasks
- Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)
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:
- An honest, open culture that emphasizes feedback and promotes professional and personal development
- An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
- 6 self care days
- A competitive salary
- And much more!
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
AI Engineer - Document Intelligence & Applied GenAI
Share this job
The landscape of AI is evolving rapidly, and PandaDoc is investing heavily in machine learning to power the next generation of intelligent document workflows. Our goal is to build scalable, production-grade AI systems that automate document understanding, extract structured data at scale, and enable new AI-first product experiences for tens of thousands of businesses.
As an ML Engineer focused on Document Intelligence and GenAI, you will design, train, evaluate, and optimize models that transform unstructured documents into high-quality structured data. You’ll work across the full stack of model development—datasets, training, inference, deployment pipelines—and help bring cutting-edge research into real production systems at scale.
What makes this role unique?
- Document Intelligence at Scale: Your work will directly power PandaDoc’s core AI capabilities—from layout detection and OCR to structured extraction, retrieval, and document-based reasoning.
- High Ownership, High Impact: You will design end-to-end ML systems, influence roadmap decisions, and work closely with product, engineering, and design to define requirements and ship production AI features.
- Real-World ML Challenges: You’ll tackle model robustness, evaluation, latency, observability, RAG quality, model routing, and the complexities of deploying AI systems that must perform reliably on millions of documents.
- Deep GenAI Integration: You’ll experiment with frontier and open-source models, integrate vision–language systems, and build efficient pipelines for inference, guardrails, fine-tuning, and document-aware reasoning.
In this role, you will:
- Model Development & Evaluation
- Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
- Define metrics, benchmarks, and validation strategies for real-world document workloads.
- Dataset & Pipeline Creation
- Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
- Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
- Model Training & Fine-Tuning
- Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
- Optimize models for reliability, accuracy, and cost efficiency in production environments.
- Inference & Deployment
- Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
- Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
- RAG & Document Reasoning
- Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
- Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
- Cross-Functional Collaboration
- Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.
About you:
We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.
We’re looking for someone with experience in:
- Vision transformers, layout models, and OCR systems
- Structured extraction from complex documents
- RAG for document-heavy workloads
- Optimizing LLM pipelines for cost, accuracy, and throughput
- Deploying and benchmarking models in real production systems
Required Experience
- 5+ years of Python experience
- Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
- Hands-on experience with document understanding frameworks and models:
- Traditional document AI models (LayoutLM, Donut, DocFormer)
- Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
- Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
- Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
- Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents
It would be awesome if you had:
- Familiarity with PDF parsing libraries and document preprocessing pipelines
- Experience fine-tuning open-source models for domain-specific document tasks
- Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)
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:
- An honest, open culture that emphasizes feedback and promotes professional and personal development
- An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
- 6 self care days
- A competitive salary
- And much more!
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
AI Engineer - Document Intelligence & Applied GenAI
Share this job
The landscape of AI is evolving rapidly, and PandaDoc is investing heavily in machine learning to power the next generation of intelligent document workflows. Our goal is to build scalable, production-grade AI systems that automate document understanding, extract structured data at scale, and enable new AI-first product experiences for tens of thousands of businesses.
As an ML Engineer focused on Document Intelligence and GenAI, you will design, train, evaluate, and optimize models that transform unstructured documents into high-quality structured data. You’ll work across the full stack of model development—datasets, training, inference, deployment pipelines—and help bring cutting-edge research into real production systems at scale.
What makes this role unique?
- Document Intelligence at Scale: Your work will directly power PandaDoc’s core AI capabilities—from layout detection and OCR to structured extraction, retrieval, and document-based reasoning.
- High Ownership, High Impact: You will design end-to-end ML systems, influence roadmap decisions, and work closely with product, engineering, and design to define requirements and ship production AI features.
- Real-World ML Challenges: You’ll tackle model robustness, evaluation, latency, observability, RAG quality, model routing, and the complexities of deploying AI systems that must perform reliably on millions of documents.
- Deep GenAI Integration: You’ll experiment with frontier and open-source models, integrate vision–language systems, and build efficient pipelines for inference, guardrails, fine-tuning, and document-aware reasoning.
In this role, you will:
- Model Development & Evaluation
- Build and maintain evaluation frameworks for document models, LLMs, OCR, and structured extraction.
- Define metrics, benchmarks, and validation strategies for real-world document workloads.
- Dataset & Pipeline Creation
- Design and curate high-quality datasets for supervised training, fine-tuning, and validation.
- Create scalable preprocessing pipelines for PDFs, scans, images, forms, and semi-structured documents.
- Model Training & Fine-Tuning
- Train and fine-tune transformer-based OCR, VLMs, layout models, and open-source LLMs for document understanding tasks.
- Optimize models for reliability, accuracy, and cost efficiency in production environments.
- Inference & Deployment
- Deploy ML models with modern inference runtimes (vLLM, TGI, TensorRT, ONNX Runtime).
- Build guardrails, monitoring, and fallback mechanisms to ensure safe and predictable model behavior.
- RAG & Document Reasoning
- Develop retrieval and chunking strategies tailored to document structures (tables, forms, multi-page PDFs).
- Optimize end-to-end RAG pipelines for semantic search, Q&A, and workflow automation.
- Cross-Functional Collaboration
- Partner with PMs, backend engineers, and product designers to define AI opportunities and translate requirements into technical solutions.
About you:
We are expanding our AI/ML function with an ML Engineer who specializes in document intelligence, vision–language models, and LLM-based extraction and reasoning. You should be comfortable with both traditional document AI approaches and cutting-edge GenAI workflows. You thrive in fast-moving environments, are self-directed, and enjoy solving practical ML problems that directly impact customers.
We’re looking for someone with experience in:
- Vision transformers, layout models, and OCR systems
- Structured extraction from complex documents
- RAG for document-heavy workloads
- Optimizing LLM pipelines for cost, accuracy, and throughput
- Deploying and benchmarking models in real production systems
Required Experience
- 5+ years of Python experience
- Experience training, fine-tuning, and deploying traditional computer vision models for document intelligence tasks (layout detection, table extraction, OCR, information extraction)
- Hands-on experience with document understanding frameworks and models:
- Traditional document AI models (LayoutLM, Donut, DocFormer)
- Modern vision-language models with OCR capabilities (DeepSeek-OCR, LightOnOCR-1B, etc.)
- Experience deploying and optimizing models using inference frameworks such as vLLM (preferred), TGI, TensorRT, or ONNX Runtime
- Experience applying LLMs to document intelligence workflows, including both frontier models and open-source alternatives
- Strong understanding of coordinate systems and spatial reasoning for absolute positioning and field detection in forms/documents
It would be awesome if you had:
- Familiarity with PDF parsing libraries and document preprocessing pipelines
- Experience fine-tuning open-source models for domain-specific document tasks
- Knowledge of evaluation metrics for document understanding tasks (F1, exact match, etc.)
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:
- An honest, open culture that emphasizes feedback and promotes professional and personal development
- An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
- 6 self care days
- A competitive salary
- And much more!
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
One of our key areas is the Core UX & Mobile area, where we work on the foundations of the experience for our users across both mobile and web platforms. In this area, we define the core patterns and architecture that other teams build upon. It’s about setting the groundwork that ensures consistency, quality, and scalability across the product.
We’re looking for a strong, talented Senior Designer who will play a key role in this area and take ownership of it. This role involves close collaboration with multiple teams and requires someone who can confidently influence, and drive foundational experience decisions across the organization.
Your responsibilities will include fostering innovation and working closely with diverse teams to ensure an outstanding user experience.
Core UX & Mobile @PandaDoc
- Develop Information Architecture: Design and evolve the overall information architecture of the application, ensuring clarity, logical structure, and seamless navigation across the entire product ecosystem.
- Build Cross-Platform Foundations: Work across both web and mobile platforms to create consistent, scalable experience patterns that adapt to the specifics of each platform while maintaining a unified product vision.
- Establish Core Experience Patterns: Define reusable UX patterns and structural frameworks that serve as the foundation for other teams, enabling them to build features on top of a coherent and well-designed base.
- Collaborate with the Design System Team: Partner closely with the design system to ensure scalability, consistency, and technical feasibility, so that solutions are reusable and easy for other designers and engineers to adopt.
- Enable Scalable Product Evolution: Create a flexible experience framework that allows other teams to layer their solutions efficiently, supporting long-term product growth without fragmenting the user experience.
Role responsibilities:
- End-to-end Process: Independently manage full design cycles, from research through to implementation. Demonstrate a solid understanding of user needs, business goals, and technical constraints.
- Design Execution: Craft user journeys aligned with product behavior, user needs, and workflows. Proficient in prototyping, uses design system components and meaningful data to validate both physical and digital interactions.
- Research: Plan and conduct qualitative and quantitative research to gather insights and refine design hypotheses. Iterate designs based on user feedback and research findings to continuously improve the product experience and validate design solutions.
- Design System: Collaborate with the design system team and developers to implement improvements. Identify potential issues in components and the contribution process.
- Collaboration: Proactively communicate changes, project progress, updates, project notes, strategic thoughts, etc. to managers, key stakeholders, and peers. Ensuring visual and functional consistency across all product.
- Advocacy: Promote design principles and user-centered design philosophy across the organization.
- Usability and accessibility: Champion usability and accessibility principles to create intuitive and accessible user experiences. Refine user journeys and interactions to simplify complex workflows and enhance user satisfaction.
Your core competencies:
- Experience: 5+ years of relevant experience in interaction design, visual design, information architecture, and design systems. Proven track record in designing sophisticated software products that prioritize intuitive user experiences.
- Expertise: Deep understanding of design principles, typography, color theory, and accessibility standards. Understanding of user psychology and human-centered design principles. Bonus points if you have experience in document lifecycle management software.
- Technical Skills: Proficiency in design tools (e.g., Figma, Framer, Adobe Creative Suite) and a strong understanding of front-end and AI technologies.
- Research: Demonstrated ability to deeply understand user needs through integrating user research into the design process. Proficient in gathering and utilizing both qualitative and quantitative user research to drive informed design decisions.
- Communication: Ability to work collaboratively in a team environment and influence cross-functional teams without direct authority. Excellent verbal and written communication skills (B2 in English), with the ability to articulate complex design concepts clearly to diverse audiences.
- Problem-Solving: Strong analytical and problem-solving skills, with a proactive approach to identifying and resolving design issues.
Our tech stack:
- Figma for craft and store design component library
- Coda/GoogleDocs for our internal kitchen: processes, checklists, playbooks, etc.
- Slack and Zoom for communication
- FigJam for collaboration
- Zeroheight for design documentation
- Amplitude, Uservoice, Rally, Maze and more for listening our users
- Anything, you think would be valuable for us, can be tested
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:
- A competitive salary. If you are located in Poland, the salary range is 222000 to 334000 PLN annually.
- An honest, open culture that emphasizes feedback and promotes professional and personal development
- An opportunity to work from anywhere — our team is distributed worldwide, from Lisbon to Manila, from Florida to California
- 6 self care days
- And much more!
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.
About the role
PandaDoc is seeking a Senior Software Engineer to join our Core UX Platform team, part of the Core UX area within our Application Platform track. Your work will directly shape the frontend infrastructure and application framework that 35+ product teams build on top of, impacting millions of users across the PandaDoc ecosystem. As a Senior Engineer on the Platform team, you'll build and maintain the frameworks and libraries that other engineering teams depend on to ship products. This is infrastructure work — you'll drive large-scale migrations, publish versioned packages, and own the developer experience of your consumers across the organization.
About Core UX
Core UX is the foundational area for PandaDoc's frontend experience. We focus on building platform frameworks, intelligent tooling, and architectural foundations that enable product teams to move faster and build better. The Core UX Platform team specifically focuses on:
- Building and evolving the application framework, platform tooling, and architectural foundations that product teams depend on
- Decomposing legacy monolithic codebases into modular, scalable microfrontend architecture using Module Federation
- Providing versioned platform libraries consumed by 70+ product repositories across the organization
- Driving developer experience, performance, stability, testing, and maintainability improvements
- Leading modernization initiatives across the frontend ecosystem — React upgrades, build tooling migration, shared infrastructure
The platform consists of:
- Core application shell and bootstrap infrastructure
- Shared platform libraries and utilities
- Microfrontend framework — transport layer, module federation loaders, and runtime
- Build and developer tooling
What you'll achieve
Development
- Build and maintain Application Platform frameworks that standardize how product teams build, integrate, and ship frontend features
- Drive large-scale migrations and codemods across the codebase — React upgrades, build system modernization, API changes — often spanning multiple repositories
- Design and publish versioned platform libraries and developer tools with real downstream impact — changes you make propagate across the product ecosystem
- Ensure production-grade quality through comprehensive testing, performance instrumentation, and disciplined versioning and breaking-change management
Cross-functional execution
- Collaborate with Product, Platform, and Infrastructure teams to ensure a consistent, reliable, and high-performing application architecture
- Partner closely with Design Systems, Backend Platform, and DevOps to align on shared foundations and platform evolution
- Coordinate rollout strategies for platform changes that affect multiple consuming teams — migrations require communication, tooling, and patience
Evangelism
- Drive adoption of platform standards and patterns across the organization by supporting engineering teams, improving documentation, and establishing clear migration guides
- Champion engineering best practices around build tooling, testing strategies, and frontend architecture
- Support product teams in adopting new platform capabilities — module federation, transport APIs, shared runtime modules
Innovation
- Stay ahead of industry trends in frontend infrastructure, build systems, and developer tooling
- Leverage GenAI to accelerate platform work — build intelligent agents, migration tools, codemods, and automation that help engineers work more efficiently
- Continuously push the stack forward — modernize React to the latest version, evolve build tooling, and improve developer experience across the ecosystem
Our stack
- JavaScript/TypeScript
- Event Sourcing
- React
- Redux
- Redux-saga
- Styled-components
- Webpack
- Jest/testing-library, playwright
About you
- Frontend infrastructure and build systems: Deep expertise in TypeScript, React, and modern build tooling (Webpack, Rspack, or similar bundlers)
- Platform team experience: Prior experience as a member of a frontend platform, infrastructure, or developer tools team — this is not an application feature team. You should have built and shipped tooling, frameworks, or libraries that other engineering teams depend on to do their work.
- Library authorship: Experience authoring and publishing packages consumed by multiple teams — not just contributing to a shared codebase, but owning a product (libraries, SDKs, developer tools) whose consumers are other engineers
- Large-scale migrations: Hands-on experience executing application-wide or multi-repo codemods, framework upgrades, or foundational API changes — you understand the coordination, tooling, and rollout strategies that make them succeed
- Microfrontend architecture: Familiarity with Module Federation, modularization patterns, or large-scale frontend architectures
- Testing and quality: Comfortable with testing strategies across the stack (unit, integration, e2e) and performance instrumentation
- Communication and influence: Ability to coordinate platform changes across consuming teams, write clear migration guides, and collaborate effectively with engineers across the organization
- AI fluency: Willingness to leverage AI tools in your workflow — from code generation to migration automation — and explore how AI can enhance developer experience
What makes you successful
- 8+ years in software engineering with strong frontend and infrastructure expertise
- You've produced platform infrastructure — not just maintained a large application. You understand the difference between building features and building the foundations others build features on.
- Extreme ownership mindset — you drive platform initiatives from design through implementation to adoption across the organization
- Comfort working across both legacy and modern codebases — you can navigate older patterns while driving toward better ones
- You're comfortable in remote, distributed environments and communicate effectively across time zones
Nice to have
- Experience with pnpm workspaces, Nx, or monorepo tooling at scale
- Background with Biome, SWC, or modern JavaScript toolchain evolution
- Contributions to open-source frontend infrastructure or build tools
- Experience leveraging AI tools to accelerate migration and platform work
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.
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. 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.
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
Using 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
Site Reliability Engineers (SREs) are essential to PandaDoc's success, ensuring customers receive a reliable service with minimal downtime.
The SRE team achieves this by:
- Owning the incident management processes and tools.
- Managing the observability stack and alerting systems to enable timely investigation and mitigation.
- Actively contributing to service codebases to proactively prevent incidents and resolve performance bottlenecks.
In essence, SREs are the cornerstone of production service resiliency, driving efforts in observability, incident management, capacity planning, and maintaining reliable operations.
In this role, you will:
- Own and influence the incident management process end-to-end
- Maintain and evolve on-prem observability stack
- Keep production applications running smoothly by participating in the on-call rotation
- Develop automations and tools to support platform reliability
- Contribute to production services with performance and resiliency in mind
- Collaborate with product engineers to foster SRE principles within the R&D organization
- Be a mentor for the SRE team or product engineers
About you:
- Solid programming experience, namely Python (Django and AsyncIO) and/or Java (Spring Boot)
- Experience in maintaining an observability tools suite (specifically, LGTM - Loki, Grafana, Tempo, Mimir)
- Experience in development and maintenance of Python services in production
- Strong experience with AWS and Kubernetes
- Solid proficiency in working with relational databases (PostgreSQL) and messaging systems (e.g. RabbitMQ, NATS, Kafka)
- An experienced on-call SRE engineer
- Enjoy hands-on troubleshooting of distributed systems in production environments
- You act like an owner and strive to do work you're proud of
- You enjoy communication and knowledge sharing on all-things reliability
- Proficiency in English, both 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