About the Role

As a Senior Front-end Engineer at Pearl, you will work on customer-facing web applications for international markets and partners. You will join a team responsible for core functionality across international payment flows, post-funnel customer experience, international SEO, and AI-powered features.

You will work closely with Product, UX, and engineering teams to deliver high-quality software solutions, support regulatory and compliance updates for international markets, and contribute to AI-related functionality such as cross-language translation, and automatic PII detection and masking.

You’ll be part of a collaborative team that values ownership, strong engineering practices, continuous improvement, and practical use of AI tools in daily development.

What You’ll Do

• Design, develop, and maintain robust, scalable, and efficient web applications.
• Implement, test, and release new product features for international markets and partners.
• Work on international payment logic, pricing tests and models, Payment Page, post-funnel experience and international SEO initiatives.
• Contribute to AI-powered features, including cross-language translation for customer-expert communication,  and automatic PII detection and masking.
• Collaborate with Product and UX teams to refine requirements and deliver high-quality customer experiences.
• Support regulatory and compliance updates for international markets.
• Ensure high test coverage and follow CI/CD best practices.
• Conduct code reviews and contribute to knowledge sharing across the team.

What We’re Looking For

• 8+ years of professional experience in web development.
• Strong experience with React.js, including state management with Redux and component-based architecture.
• Strong knowledge of front-end technologies such as HTML5, CSS3, JavaScript, TypeScript, Less, React, Redux/Zustand.
• Good understanding of automated testing and willingness to write tests as part of daily development.
• Familiarity with Unit / Integration / Component tests using tools such as Vitest, Playwright, React Testing Library, Jest, or similar.
• Experience with LLMs / Generative AI tools, such as OpenAI, Copilot, Cursor, or similar.
• Experience working in Agile development and ability to handle multiple projects simultaneously.
• Strong understanding of development processes, CI/CD, and engineering best practices.
• Experience with Web Page performance optimization and measurement will be a plus.
• Familiarity with SQL / BigQuery will be a plus.
• Upper-intermediate English proficiency (B2 or higher). 
• Excellent problem-solving and analytical skills, with a keen attention to detail.
• Strong communication and interpersonal skills, with the ability to work effectively in a team-oriented environment.
• Ability to manage multiple tasks and prioritize effectively in a fast-paced environment.

#LI-DNI

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.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. 

As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others. 

Responsibilities:

• Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Evolve data model and data schema based on business and engineering needs
• Implement systems tracking data quality and consistency
• Develop tools supporting self-service data pipeline management (ETL)
• SQL and MapReduce job tuning to improve data processing performance
• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions

Experience:

• 4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
• Strong experience with Spark
• Experience with Hadoop (or similar) Ecosystem, S3, DynamoDB, MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase, Parquet
• Strong skills in a scripting language (Python, Go)
• Good understanding of SQL Engine and able to conduct advanced performance tuning
• Proficient in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
• 1+ years of experience with workflow management tools (Airflow, Oozie, Azkaban, UC4)
• Comfortable working directly with data analytics to bridge Lyft’s business goals with data engineering
• Preferred to have experience of building and maintaining customer care related data tables as a Data Engineer for large organizations

Benefits:

• Professional and stable working environment.
• The latest technology and equipment you need.
• Potential to work remotely, including out of country (dependent on work authorizations).
• 28 calendar days for vacation and up to 5 paid sick days.
• 18 weeks of paid parental leave. Biological, adoptive and foster parents are all eligible.
• Mental health benefits.
• Family building benefits.

This role is fully remote in Ukraine, however, employees are required to live and work in Ukraine in order to be qualified for this position. #Remote

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

In this role, you will closely collaborate with various teams to curate and maintain places data sets that are essential for our operations and decision-making processes. As a Data Curation Associate, you will work on multiple projects, analyzing data to identify, fix, or report issues while strictly following established policies to ensure high accuracy. A key part of your role will involve "deep-dive" analysis into search queries—for example, investigating why a user couldn't find a specific place—to understand if our dataset is missing a location or contains naming discrepancies.

We are looking for someone who has good analytical skills and is able to process a large amount of data. If you have an entrepreneurial spirit, like to solve challenging problems, and want to be part of the next big thing at Lyft, we would love to meet you!

Responsibilities:

• Analyze search-related issues and select the most relevant resolution, following our workflows and policies. 
• Review and correct large volumes of data, meticulously documenting issues for analysis.
• Escalate issues effectively to relevant internal teams.
• Perform deep dives and root cause analysis. 
• Work with mapping tools with high accuracy in accordance with guidelines.
• Work with the Google Suite of products/services such as Gmail, Docs, Sheets, Meet, Calendar, etc.
• Maintain a high level of accuracy, attention to detail, and integrity.

Experience:

• Upper-Intermediate (B2) level of English or higher.
• Ability to perform repetitive tasks with high concentration and sustained attention to detail.
• General understanding of the traffic regulations and mapping fundamentals.
• Customer obsessed: You have proven experience working with customers and are passionate about delivering great customer experiences with a strong track record to back that up. You have analytical and problem-solving skills to help implement changes that improve the customer experience.
• Collaborative communicator: You excel in verbal and written communication (English, Ukrainian). You collaborate effectively with your team and can communicate with other teams or stakeholders as needed. You are receptive to feedback and direction, enabling you to successfully carry out tasks and contribute to team goals.
• Technical Fluency: You feel comfortable using Google Workspace products, as well as learning new processes, systems & tools.

Nice to have:

• Experience analyzing failed user sessions.
• General experience working with repetitive tasks and\or data analysis with high concentration.
• Experience mentoring/sharing knowledge with the team.
• Background in mapping, cartography and any related fields. 
• Familiarity with Jira.
• Basic understanding of SQL.

Benefits:

• Professional and stable working environment.
• The latest technology and equipment you need.
• 28 calendar days for vacation and up to 5 paid days off.
• 18 weeks of paid parental leave. Biological, adoptive and foster parents are all eligible.
• Mental health benefits.
• Family building benefits.
• This role is fully remote in Ukraine, candidates for this role must be based in Ukraine.

This role is fully remote in Ukraine, however, employees are required to live and work in Ukraine in order to be qualified for this position. #Remote

About the Role

As an Analyst at Pearl, you will drive tangible business impact by delivering high-quality insights and recommendations that are grounded in your ability to combine strategic thinking and problem-solving with detailed analysis. This position offers a unique opportunity to collaborate closely with Product Managers and cross-functional teams, uncovering valuable business insights, devising optimization strategies, and validating them through experiments. 

What You’ll Do

• Collaborate with Product and Analytics leadership to structure and perform deep-dive analyses, delivering actionable insights into key business areas
• Analyze large datasets (internal and external) to identify growth and optimization opportunities, translating findings into business recommendations and effectively communicating them to stakeholders, including senior leadership
• Perform descriptive and prescriptive analytics using ML models, A/B and MAB experimentation, while building reports to understand business trends 
• Track and implement business metrics to drive continuous improvement and support data-driven decision-making 
• Act as a lead analyst, gaining deep insights into customers to inform strategic decisions

What We’re Looking For

• 3+ years of experience in product analytics (preferably within e-commerce or customer experience products)
• Proficiency in analysis and business modeling using Excel 
• Experience with Google Analytics, BigQuery, PowerBI, and Python / R would be a plus 
• Experience with SQL with a strong ability to write complex queries to extract information and arrive at an answer 
• Expertise in Descriptive Statistical Analysis, Inferential Statistical Analysis 
• Strong experience in setting up and driving A/B Testing or Hypothesis Testing and analyzing the results 
• Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills 
• Ability to communicate effectively with all levels of management and partners from a variety of business functions 
• English proficiency (at a strong upper-intermediate level)

About the Role

 As Analyst, International Operations, you’ll turn raw HR data into real business impact, shape predictive insights for leaders, and help architect the future of workforce intelligence at our company. 

What You’ll Do

• Build predictive models for workforce planning, retention, hiring, and compensation—shifting us from reporting to proactive, forward-looking insights. 
• Integrate data from different data hubs (HRIS, ATS etc.) to create real-time dashboards in Power BI. 
• Automate and maintain agentic AI across People Ops to accelerate decision-making. 
• Own the accuracy of People Insights dashboards—monitor refresh cycles, troubleshoot issues, and ensure top-quality predictive outputs. 
• Build and enhance Power BI dashboards, SQL queries, and data models to support new programs and analytics needs. 
• Use AI tools (Power BI Copilot, AutoML, ChatGPT) to streamline data prep, generate insights, and scale predictive analytics. 
• Partner with stakeholders to gather requirements and continually evolve metrics, dashboards, and AI-driven features. 

What We’re Looking For

• 1.5+ years of experience in analytics or HR operations.
• Proficiency with analytical tools and systems such as Power BI, SQL (basic), Python (basic) and Excel (including macros).
• Experience with predictive analytics, modeling, or forecasting.
• Experience working with project management tools like Microsoft Project, Asana, or similar platforms.
• Strong stakeholder management skills and experience gathering, clarifying, and prioritizing requirements.
• At least upper-intermediate English level.
• Strong attention to detail, analytical thinking, and problem-solving abilities.

About the Role

As a Full Stack Developer, you will play a pivotal role in designing, developing, and maintaining our web applications, ensuring high performance and scalability. You will work closely with cross-functional teams to deliver high-quality software solutions while contributing to projects that integrate advanced machine learning models, including large language models (LLMs), to deliver personalized user experiences and innovative features. You'll be part of a small, collaborative team that values continuous improvement and embraces the latest in technology.
 
Our technology stack includes .NET Core, C#, React.js, Node.js, Typescript, SQL Server 2019, Docker, Kubernetes, Google Analytics, and Power BI.  

Our ecosystem includes 170 connected applications and services, our main database is 2 TB, our sites handle 1 million visitors a day and 2 billion requests a month, and we release changes to production several times a day. We are a continuous integration and continuous deployment (CI/CD) organization. 

What You’ll Do

• Collaborating with cross-functional teams to demonstrate how they can effectively leverage our infrastructure to meet their objectives. 
• Designing, developing, and maintaining robust, scalable, and efficient web applications, backend logic modules and database structure.
• Identifying and implementing strategies to improve the stability, performance, and scalability of our applications and services. 
• Responding promptly to production incidents, employing creative problem-solving skills to minimize downtime and mitigate potential issues. 
• Supporting team members, fostering a culture of continuous learning and technical excellence. 
• Conducting code reviews and ensuring adherence to coding standards and best practices across the team. 
• Participating in the evaluation and integration of new technologies, including AI and automation tools, to drive innovation and efficiency. 

What We’re Looking For

• Minimum of 3 years of professional experience in full stack development.
• Extensive experience with React.js, including state management (Redux, Context API) and component-based architecture.
• Proficiency in .NET frameworks, C#, and data access technologies.
• Familiarity with Unit / Integration tests using any of Jest, NUnit, Playwright, React Testing Library.
• Strong knowledge of front-end technologies such as HTML5, CSS3, JavaScript, and TypeScript.
• Familiarity with database systems such as SQL Server or MySQL.
• Strong knowledge of design and architectural patterns, SOA design & web service development.
• Strong understanding of development processes.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Experience with Web Page performance optimization and measurement will be a plus.
• Degree in Computer Science, a related discipline or equivalent work experience.
• Upper-intermediate level of English.
• Excellent problem-solving and analytical skills, with a keen attention to detail.
• Strong communication and interpersonal skills, with the ability to work effectively in a team-oriented environment.
• Ability to manage multiple tasks and prioritize effectively in a fast-paced environment.

About the Role

As a Lead Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 5-6+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work 
• Upper-intermediate English proficiency (B2 or higher). 
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

About the Role 

As an Analyst at Pearl, you will drive tangible business impact by delivering high-quality insights and recommendations that are grounded in your ability to combine strategic thinking and problem-solving with detailed analysis. This position offers a unique opportunity to collaborate closely with Product Managers and cross-functional teams, uncovering valuable business insights, devising optimization strategies, and validating them through experiments. 

What You’ll Do

• Collaborate with Product and Analytics leadership to conceive and structure analysis and deliver highly actionable insights from “deep dives” into specific areas of our business
• Conduct analysis of a tremendous amount of internal & external data to find growth & optimization opportunities for the business 
• Package and communicate findings and recommendations to a broad audience (including senior leadership)  
• Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), build Reporting for understanding trends 
• Implement and track business metrics that will help drive the business
• Help determine growth strategy from a marketing and operations perspective 
• Opportunity to operate in an individual capacity as a lead analyst to understand the customer and guide informed strategic decisions & executions

What We’re Looking For

• 5 years of experience in e-commerce/customer experience products
• Proficiency in analysis and business modeling using Excel 
• Experience with Google Analytics, BigQuery, PowerBI, and Python / R 
• Experience with SQL with a strong ability to write complex queries to extract information and arrive at an answer 
• Expertise in Descriptive Statistical Analysis, Inferential Statistical Analysis 
• Strong experience in setting up and driving A/B Testing or Hypothesis Testing and analyzing the results 
• Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills 
• Ability to communicate effectively with all levels of management and partners from a variety of business functions 
• Advanced English level 

We're seeking a detail-oriented Manual QA Engineer to help us maintain and elevate the quality of our product. The next Bringgster should be passionate about quality, attentive to details, and comfortable working in a fast-paced, dynamic environment.

Our R&D Bringgsters tackle challenges of a real-time, high-scale production system used by enterprise clients, ensuring seamless integrations and reliable workflows while solving complex technical and business problems.

What you are expected to deliver (Responsibilities);

• Lead end-to-end quality ownership for features and domains, from requirements to production
• Define and drive test strategy and test planning for complex systems and integrations
• Design, write, and review comprehensive test cases and test scenarios
• Perform deep functional, regression, integration, and exploratory testing
• Own Salesforce testing efforts, including validation of flows, configurations, and integrations
• Lead API testing strategy and execution, ensuring high coverage and reliability
• Validate third-party integrations and cross-system workflows end-to-end
• Identify risks early, drive mitigation plans, and proactively improve quality processes
• Analyze production issues, logs, and system behavior to ensure root cause understanding
• Collaborate closely with developers, product managers, and stakeholders across Europe
• Act as a quality advocate in design and planning discussions

What we expect you to Bringg (Requirements);

• 5+ years of experience in manual QA testing
• Strong ownership mindset and ability to lead quality efforts independently
• Proven experience with Salesforce platform testing (objects, flows, permissions, integrations)
• Strong experience in API testing (REST, JSON, tools like Postman, Swagger, etc.)
• Hands-on experience testing complex third-party integrations and distributed systems
• Deep understanding of QA methodologies, risk-based testing, and test design techniques
• Experience working in Agile/Scrum environments
• Strong SQL skills and ability to validate data across systems
• Experience with log analysis and debugging production issues
• Excellent communication skills and ability to influence cross-functional teams
• Upper-Intermediate English

Nice to have;

• Experience leading QA initiatives or mentoring team members
• Basic automation knowledge (API/UI) and ability to contribute to automation strategy
• Experience with test management tools (TestRail, Zephyr, etc.)
• Familiarity with CI/CD pipelines and release processes
• Experience with monitoring/logging tools (Kibana, Grafana, Datadog, etc.)
• Experience in SaaS / logistics / delivery domain

We care about our people! Here is a glimpse of our benefit package:

• Home Office Setup: $500 home office equipment allowance
• Meal Allowance: $100 monthly meal allowance
• Remote work
• Expanded vacation day package
• Wellness Budget: $100 monthly budget for wellness or a sports activity of your choice
• Health Insurance: Provided after completing the trial period

About Shelf

The enterprise is going agentic — but most AI agents fail when they hit real business complexity. Shelf is changing that.

We’ve built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don’t just respond — they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale.

Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20–25%, and turn hours-long processes into seconds. We’re partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks — and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach.

If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you’re in the right place.

Our mission is to empower humanity with better answers everywhere.

Summary

The R&D department plays a pivotal role in driving Shelf to disrupt the market. We are looking for Machine Learning experts that are able to deliver end to end with a blend of experience: Python engineering, ML engineering, and pragmatic Data science and Machine learning research. You will ship end-to-end features—from problem framing and experimentation to service deployment, and ongoing operations—quickly and with high quality. Your work will power ML- and LLM-driven services used by top enterprises like Amazon, Mayo Clinic, AmFam, and Nespresso.

This role requires strong Python engineering capabilities coupled with a strong ability to deliver robust ML solutions, along with ML research literacy to choose sound methodologies, define metrics, and evaluate different approaches effectively.

You’ll work in an agile environment, move fast, and own what you ship.

Responsibilities

• Own end-to-end delivery: ideate, research, prototype, productionize, and operate ML-powered services with an expectation to iterate and ship frequently
• Stand up robust training/evaluation pipelines: dataset curation, labeling/feedback loops, experiment tracking, offline/online metrics, and A/B testing
• Solve problems using sound methodology, evaluate approaches along with 
• Transform ML models and LLM workflows (including RAG) into reusable, versioned, observable production services with CI/CD
• Collaborate with Product Owners to shape our product and requirements
• Conduct and receive code reviews; champion engineering excellence, testing discipline, and documentation
• Leverage AI coding assistants to accelerate development and create internal agents that automate parts of the engineering workflow
• Share learnings through demos, docs, and knowledge sessions; contribute to a culture of continuous improvement

Requirements

• 3+ years of professional experience researching and shipping ML-based solutions, with strong Python skills and a track record of delivering fast without sacrificing quality
• Proven experience in owning research problems end-to-end, starting from initial data analysis, through iterative research phases to delivering on production
• Practical NLP/LLM experience: transformers, embeddings, prompt design, and evaluation; ability to choose and justify metrics and methodologies
• Strong backend fundamentals: designing RESTful services, schema design, data modeling, and performance tuning for SQL and NoSQL stores
• Data processing skills: pandas/NumPy; experience with batch/stream processing and ETL orchestration (e.g., Airflow, Step Functions)
• Strong English verbal and written communication

As a plus

• LLM ops and safety: eval frameworks (e.g., RAGAS), guardrails, red-teaming, prompt optimization at scale
• Model optimization: quantization, distillation, pruning; GPU/accelerator-aware serving
• Experience with AWS ML stack (SageMaker, Batch, Step Functions, Lambda, SQS/SNS, DynamoDB, ECS, EC2, S3)
• Vector databases and search: Pinecone, Elasticsearch, pgvector, FAISS, or DeepLake
• Background in reinforcement learning, agent frameworks, or autonomous agents
• Publications, open-source contributions, GitHub portfolio

What Shelf Offers

• B2B contract
• Company Stock Options
• Hardware: MacBook Pro
• Modern technical stack. Develop open-source software
• Premier AI development environment: GitHub Copilot, Claude Code, OpenAI, TypingMind, v0, MCP Servers, plus credits to experiment with emerging AI tools

Why Shelf

• Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan
• We love our customers and our customers love us. Ask a Shelf customer why, and they’ll tell you it’s because of our innovative capabilities, rock-solid reliability, they truly enjoy working with our people, but most of all – it’s the improvements they see in their business KPIs.
• We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others
• We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row
• We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

Our Values:

Quality - We’re united by our focus on world‑class Quality. Quality in all things – starting with everything that leaves your desk. Everything you touch – every email, report, campaign, and piece of code – should be outstanding. Your work product should blow people away. Having people look at what you’ve done and say, “Wow.” That’s the standard here. Remember that how you do anything is how you do everything. Focus on craftsmanship—your ability to make things better.

Momentum - for us means that you should know that the things you’re responsible for are moving forward. When you look around and see something that’s stalled, get it moving again. We pride ourselves on “ball movement.” When your boss or team leaves you with something, they should return to see measurable progress. Small, continuous movement is our recipe for success. Constantly look for how to make the work around you move forward. We want you to initiate solutions, ideas, and progress. Don’t wait for it to come to you—reach out and create movement. All the time.

Accountability - We expect every team member to feel that they are accountable for more than anyone might normally expect. Each of us should feel real responsibility for things even at the edge of our control. We consistently share and align on expectations, give each other open and respectful feedback, and use those two drivers to ensure that every agreement we make with one another is clear and complete.

Hard Work - We’re here to do something difficult together. We care intensely about the mission and we expect that from our teammates. That care means that we work hard here. Hard work comes with long hours, extra effort…and real opportunity at Shelf. Your passion for creating and sustaining output is a part of our DNA. Support each other, cheer each other on, drive the mission forward. Great teams sustain intense effort together to win.

Learning Agility - We’re innovating in one of the fastest‑moving spaces in history at a time of accelerating global change. That’s incredibly exciting and requires each of us to commit fully to learning each and every day so that we can be the best at what we do. None of us know everything. All of us can learn anything. Staying open and constantly curious is a key success driver at Shelf. It also requires humility. We prize people who are consistently humble and open to making mistakes and growing from them. Recognize also that learning itself is a skill…we need you to be really good at it. Keep dialing in your own understanding about how you learn best and push yourself to keep growing.

Adapt and Thrive - Overcoming challenges lives deep in our DNA. We have a proud history of understanding and living the reality that obstacles are our opportunities…they’re the key to our success. Change is a constant in our business and fighting change is counterproductive. We need you to be good at being uncomfortable and understand that discomfort is the key to growth. Cultivate your own ability to adapt and know that struggling well is something you’ll share with every team you’re on at Shelf. Our company stories are about thriving through real difficulty…together.

Win Together - We win or lose as a team. Always. Everything you do here is connected to the rest of the organization. Part of our shared team environment demands full honesty…real candor and directness with one another. We expect you to constantly be thinking about how to support your teammates and the company, always acting in service to our shared mission and what’s best for the organization as a whole.

Senior Software Engineer

Company description

At PandaDoc, we're building the future of documents.
Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative.

We’re a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.

Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.

Currently, PandaDoc is seeking a Senior Java Engineer to join our Document App Track.

The Document App Track focuses on the core entity of PandaDoc — documents. We build the systems that allow users to create, import, process, and export documents at scale. In this team, we are tackling the challenge of building and maintaining mission-critical backend services that power PandaDoc document import and export (PDF, DOCX, and other formats). Our goal is to ensure high system reliability, streamline release processes, and maintain production service stability. We own several business-critical services and are responsible for making them robust, efficient, and scalable to support our company’s growth.

Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda, and we want you to join our team.

In this role, you will:

• Design, build, test, and deliver features to production as part of a 5-person team.
• Keep production services stable (maintaining SLO), react to alerts and incidents.
• Face and overcome multiple scale-related technical problems in distributed systems.
• Find and address systematic issues to maintain low time-to-change with high change-confidence levels.
• Work on integrating AI-powered features (e.g. automatic field detection), collaborating with dedicated AI teams.
• Participate in team activities and rituals: code review, on-call rotation, planning, PBR, retro, daily standups,
• Collaborate with the broader team (track level, consisting of 5 teams)

Our stack:

• Java 17/21 with Spring Boot 3
• PostgreSQL 17 as our primary database
• Kafka for async communication patterns
• Temporal for managing asynchronous workflows
• JUnit and automated testing frameworks
• Amazon Web Services
• Docker, Kubernetes
• Distributed monitoring stack (traces, logs, metrics)

About you:

• 5+ years of experience as a Software Engineer.
• Experience working with production systems, including on-call responsibilities.
• Strong experience with Java and Spring Boot (Java 17/21, Spring Boot 3).
• Solid understanding of microservices architecture, distributed systems, and asynchronous communication (Kafka).
• Experience with relational databases (SQL, performance optimization), ideally PostgreSQL.
• Good knowledge of testing practices (JUnit, automated testing).
• Strong system design and problem-solving skills.
• Experience across the full development lifecycle, from design to deployment and monitoring.
• Ability to stay calm and effective during incident handling.
• Strong communication skills and ability to collaborate in English (written and spoken).

Company Overview: 

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits:

• Competitive salary. If you're located in Poland, the salary range is 275000 - 413000 PLN annually.
• Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
• We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters.
• Work schedule aligned with EU time zones.
• Honest, open culture that values constructive feedback.
• Professional and personal development within a collaborative, supportive team.
• Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.

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.

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.

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.

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.

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.

We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.

Senior Full Stack (Java+Kotlin+React) Developer

We're growing rapidly and are looking for Senior Full Stack Developer professionals to embark on an international software development project. The role will put the latest technologies at your fingertips in a talented, collaborative team and high-energy work environment. We want everyone to build a career they can be proud of and will support you in your development from day one. You'll be happy to work in a team and lead by example every day.

WE ARE AMDARIS

We connect the right people with the right tasks for fantastic outcomes. We've grown 40% every year for the last four years and we're still getting bigger. With an incredible growth plan and exciting projects from day one, now is the time to join our fantastic team.

Full-stack professionals build the front-end and back-end design of websites and software applications. They create design plans for the user-facing side of applications, which controls look, feel, and function.

They also structure the back part of an application, which manages programme logic and server database interaction. A Senior full-stack professional is trained to understand what is going on between these two interfaces and possesses the variety of software skills needed to work on both. People with a strong desire to learn a multitude of technologies and programming languages with a can-do attitude will thrive in this role. Full-stack professionals are problem-solvers, working in a fast-paced, collaborative office environment alongside other engineers.

FULL STACK DEVELOPER RESPONSIBILITIES

• Design and implement backend services using Kotlin or Java.
• Collaborate with frontend developers or implement frontend features in React.
• Develop APIs and integrate with front-end and third-party systems.
• Participate in proof of concepts (PoCs) and assist in complex feature development.
• Ensure scalability, maintainability, and security of backend systems.
• Write unit and integration tests for backend components.
• Collaborate with DevOps to ensure smooth deployments.

FULL STACK DEVELOPER REQUIREMENTS

• 7+ years of experience.
• Graduate of a systems engineering degree or similar.
• Hands-on experience with Kotlin or Java.
• Experience with Quarkus or Spring Boot frameworks.
• Strong experience with React, including hooks, state management, and component-based architecture.
• Familiarity with TypeScript, modern CSS frameworks, and responsive design principles.
• Experience integrating React with backend APIs (REST and GraphQL).
• Strong knowledge of micro-frontends.
• Strong knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB).
• Experience with Reactive Programming paradigms.
• Familiarity with Kafka and event-driven architecture.
• Strong knowledge of microservices and API design.
• Knowledge of frontend build tools, testing frameworks, and performance optimization.
• Experience with CI/CD pipelines and containerization.
• Ability to quickly learn and adopt new technologies.
• Experience using GitHub Copilot or similar AI tools for coding.
• Excellent verbal communication skills in English.

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Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

Tatari is looking for a detail-oriented Manual QA Engineer with strong AdTech experience to help ensure high-quality releases across complex advertising workflows. You will work closely with Engineering to validate end-to-end ad delivery, investigate production issues, and uphold quality standards in a fast-paced, international environment. This role is ideal for a QA professional with deep experience in DSP and/or SSP platforms who is passionate about accurate targeting, reliable analytics, and seamless campaign execution.

Key Responsibilities

• Perform manual testing of web-based advertising platforms
• Validate full ad delivery lifecycle: campaign setup, targeting, serving, pacing, attribution, and reporting
• Test targeting logic, analytics accuracy, optimization workflows, and RTB flows
• Conduct UI and API testing (REST & GraphQL)
• Use SQL for data validation, reconciliation, and consistency checks
• Investigate, reproduce, and document complex production issues; perform root cause analysis
• Validate integrations with third-party partners, tracking systems, and data providers
• Support regression, smoke, exploratory, and non-functional testing
• Collaborate on frontend test automation initiatives

Required Qualifications

• 6+ years of QA experience in web applications
• 3+ years of hands-on AdTech experience, specifically with DSP and/or SSP platforms (required)
• Strong understanding of digital advertising workflows, targeting logic, RTB, tracking, and reporting
• 2+ years of API testing experience (REST, GraphQL; Postman or similar tools)
• Experience writing SQL queries for data validation
• Strong analytical and problem-solving skills
• Experience working in Agile environments
• Excellent attention to detail and structured documentation skills
• Intermediate English proficiency (written and spoken)

Benefits

• Competitive salary, including equity package and quarterly tax assistance (only for Ukraine tax residents)
• Competitive time off plus company wellness days throughout the year
• Team building events 
• Annual continued education benefit
• Newbie Productivity Perk
• Monthly stipend
• Annual mental health awareness app reimbursement
• Currently remote but may be hybrid when there is a physical office

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

#LI-REMOTE

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

Tatari is looking for a detail-oriented Manual QA Engineer with strong AdTech experience to help ensure high-quality releases across complex advertising workflows. You will work closely with Engineering to validate end-to-end ad delivery, investigate production issues, and uphold quality standards in a fast-paced, international environment. This role is ideal for a QA professional with deep experience in DSP and/or SSP platforms who is passionate about accurate targeting, reliable analytics, and seamless campaign execution.

Key Responsibilities

• Perform manual testing of web-based advertising platforms
• Validate full ad delivery lifecycle: campaign setup, targeting, serving, pacing, attribution, and reporting
• Test targeting logic, analytics accuracy, optimization workflows, and RTB flows
• Conduct UI and API testing (REST & GraphQL)
• Use SQL for data validation, reconciliation, and consistency checks
• Investigate, reproduce, and document complex production issues; perform root cause analysis
• Validate integrations with third-party partners, tracking systems, and data providers
• Support regression, smoke, exploratory, and non-functional testing
• Collaborate on frontend test automation initiatives

Required Qualifications

• 6+ years of QA experience in web applications
• 3+ years of hands-on AdTech experience, specifically with DSP and/or SSP platforms (required)
• Strong understanding of digital advertising workflows, targeting logic, RTB, tracking, and reporting
• 2+ years of API testing experience (REST, GraphQL; Postman or similar tools)
• Experience writing SQL queries for data validation
• Strong analytical and problem-solving skills
• Experience working in Agile environments
• Excellent attention to detail and structured documentation skills
• Intermediate English proficiency (written and spoken)

Benefits

• Competitive salary, including equity package and quarterly tax assistance (only for Ukraine tax residents)
• Competitive time off plus company wellness days throughout the year
• Team building events 
• Annual continued education benefit
• Newbie Productivity Perk
• Monthly stipend
• Annual mental health awareness app reimbursement
• Currently remote but may be hybrid when there is a physical office

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

#LI-REMOTE