As part of the Enterprise Data & Intelligence (EDI) team, you will play a key role in enabling company-wide data-informed decision making. Business and Product teams rely on our data assets to analyze and optimize user adoption, growth, and revenue.

The ideal candidate will have a strong mix of technical and collaboration  skills. They should be able to quickly understand business priorities and proactively develop and enhance tools, automations and analytics that support those priorities.

This role is based in our Warsaw office with an office-centric hybrid schedule - in-office days are Monday, Tuesday, and Thursday. 

We offer a Contract of Employment (UoP) for our employees in Poland.

What you’ll achieve

• Design, implement and scale end-to-end data products that support growing data processing and analytical needs.
• Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams.
• Establish trust and strong relationships across technical and business teams, ensuring alignment on data strategy and execution.
• Lead process automation efforts and proactively identify optimisation opportunities, improving data workflows and ensuring scalability.

About you

• 5+ years of hands-on experience in Data Engineering or Software Engineering.
• Degree in computer science, engineering or equivalent technical field experience.
• Proficient in cloud-based data processing and storage technologies like Databricks, Snowflake, AWS S3, Spark, Airflow.
• Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java).
• Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively.
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
• Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

What we offer

• Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.) 
• Contract of Employment (with 50% tax deductible costs for author’s rights usage for Engineers) 
• Health insurance with dental and travel coverage (Lux Med) 
• Lunch catering on the days that you work from the office
• Career growth budget 
• Home office setup budget 
• Gym/Fitness reimbursement
• Fertility healthcare and family-forming support with Carrot
• Mental health support in Modern Health
• Group life insurance
• MacBooks with all necessary accessories

For this role, the estimated base salary range is between 20,833 - 22,983 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified.

Our total compensation consists of base salary and equity (RSUs). 

#LI-Hybrid 

Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores, and other local shops delivered to home or to the office. Our local commerce platform makes it easy for customers to order whatever they need on one app, for merchants to make additional sales, and for couriers to make meaningful earnings flexibly. To enable this, Wolt develops a wide range of technologies from local commerce platform to retail software and financial solutions, as well as operates its own grocery stores under the brand Wolt Market. Wolt was founded in 2014 and joined forces with DoorDash in 2022.

Our Finance team has played a key role in our growth journey, and as we continue to scale, we are looking for an Accounts Receivable Team Lead. Reporting to the AR Manager, you will lead a multinational team of 7–8 members. Your mission is to drive the transformation of the AR function from a highly operational setup to a more automated, insight-driven organization. You will have a high level of autonomy to "build and break"—leveraging resourceful data to simplify processes and reduce manual work.

What you’ll be doing

• Lead & Develop: Foster a high-performance culture for a team of 7 people, providing coaching, clear prioritization, and leading by example.
• Portfolio Ownership: Own the AR portfolio end-to-end with full accountability for aged receivables, collections performance, and cash flow, and proactive credit risk mitigation.
• Drive Transformation: Identify automation opportunities and partner with Product, Engineering, and Data teams to implement scalable solutions.
• Strategic Collections: Design and improve scalable collections frameworks to increase efficiency and reduce overdue balances.
• Leverage Technology: Leverage data and emerging technologies (including AI tools) to improve collections and decision-making.
• Stakeholder Collaboration: Act as a key contact for Sales, Finance, and senior stakeholders, providing insights on risk and performance.
• Compliance & Excellence: Support audits and ensure strict compliance with internal controls while overseeing daily operations like cash application and dispute resolution.

Our humble expectations

• Experience: Hands-on experience in Accounts Receivable, specifically in collections and cash application processes.
• Leadership: Proven track record of leading or mentoring teams, ideally in an international or multicultural environment.
• Impact: Demonstrated ability to build or scale collections frameworks and drive process improvements that reduce manual workload.
• Technical Savvy: Advanced Google Excel and workflow automation skills, Data integration flows; while not required to build them, you can translate business needs into technical requirements for Product/Data teams.
• Mindset: A proactive, solution-oriented mindset with the ability to thrive in a fast-paced, high-growth environment.
• Communication: Fluency in English is required as you will collaborate with diverse global teams.
• Systems (Plus): Experience with NetSuite, Tableau, or automation tools (e.g., Snowflake, Make) is a significant advantage.

So, why work at Wolt? 

At Wolt, we’re about getting things done.

You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people.

We work hard to make cities into better places, and it’s pretty cool seeing us grow every week. If you’re passionate about building things that just… work, Wolt might be for you.

The Senior Data Operations Engineer will support the management and optimization of the company’s data systems and processes, reporting directly to the Data Operations Lead.

This role requires a technically proficient individual with strong analytical skills to ensure data integrity, accessibility, and security across the data platform. The ideal candidate will have hands-on experience in data management, a keen eye for detail, and the ability to work collaboratively with different stakeholders.

✅ Responsibilities:

Data Management and Maintenance

• Assist in developing and enforcing policies for effective data management.
• Ensure data accuracy, consistency, and security through regular maintenance and monitoring.
• Support the implementation of data quality standards and maintain data governance practices.

Operations Support

• Manage and optimise data pipelines and ETL processes to ensure smooth and efficient workflows.
• Troubleshoot and resolve data-related issues promptly to minimise downtime.
• Monitor the availability and performance of data systems and tools, ensuring they meet operational standards.

Collaboration and Communication

• Work closely with the Data Operations Lead, Data Engineering, Business Intelligence, Analytics, and Business teams to support data initiatives.
• Collaborate with vendors and partners for data-related services as directed by the Data Operations Lead.
• Communicate effectively with team members and stakeholders to ensure alignment on data projects and initiatives.

Compliance and Security

• Assist in ensuring compliance with various jurisdictions and regulations, as well as industry best practices.
• Implement and maintain data security measures to protect sensitive information.
• Participate in regular audits and assessments to identify and mitigate risks.

Day-to-Day Activities

• Check the status of data jobs to ensure they are running as expected and troubleshoot any issues.
• Monitor and maintain data pipelines, ensuring data flows smoothly between systems.
• Conduct data verification and integrity checks to maintain high data quality and accuracy.
• Perform reconciliations across various data sources to identify and resolve discrepancies.
• Proactively perform data audits to ensure data accuracy and compliance.
• Suggest and build improvements in data accuracy and reconciliation frameworks.
• Work collaboratively with the data team to address any operational challenges and support data-driven initiatives.

On-Call Rotations

• On-Call Rotations - During specific weeks, you need to be available 24/7 in case of incidents.

✅ Requirements:

• At least 3 years of Python engineering experience;
• At least 2 years of experience with SQL;
• 1+ years of experience in data management and data operations roles.
• Proficiency in SQL, Python, or other data manipulation languages.
• Experience with cloud data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with ETL tools (e.g., Apache NiFi or Airflow).
• Knowledge of cloud platforms (AWS, Azure, Google Cloud).
• Strong problem-solving skills and attention to detail.
• At least 1 year of experience in PowerBI (or similar);
• Excellent communication and teamwork skills.

Nice to have:

• Experience with data quality management.
• Experience working with agile.
• Understanding of data governance frameworks and practices.
• Certifications in relevant data management or cloud platform technologies.

✅ We offer excellent benefits, including but not limited to:

🚀 Career growth opportunities in an international and dynamic environment;
📚 Opportunity to develop language skills with partial compensation for language courses;
🎁 Special gifts for birthdays, weddings, and newborns;
🏝️ 20 working days of paid annual vacation, plus paid sick leaves;
🍲 Office snacks and refreshments;
🏋️‍♂️ Sports package to support a healthy lifestyle;
🩺 Comprehensive medical insurance for you and your partner;
📍 Comfortable office with great facilities in a prime location;
 🎉 Exciting corporate events, team-building activities, and international company parties.

❗️IMPORTANT: This position is office based for our office in Warsaw, Poland.

❗️We can provide relocation assistance if you're outside of the city or country.

We are seeking a highly skilled Data Engineer with expertise in managing, designing, and optimizing data pipelines utilizing Apache Airflow, Snowflake, and Apache Kafka.
This individual will play a pivotal role in architecting robust, scalable, and efficient data solutions, ensuring the integrity, reliability, and accessibility of our data infrastructure

✅ Responsibilities:

• Develop and implement data models to support business requirements, optimizing for performance and scalability;
• Design, build, and maintain scalable data pipelines using Apache Airflow;
• Implement and maintain Kafka-based streaming data pipelines for real-time data processing and integration with various systems;
• Integration to third party databases and APIs;
• Establish monitoring, alerting, and maintenance procedures to ensure the health and reliability of data pipelines;
• Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand data requirements.
  
  

✅ Requirements:

• Proficiency in Python, SQL, and experience with data manipulation and transformation;
• Data warehouse and data modeling techniques;
• Experience in designing, building, and maintaining complex data pipelines using Airflow;
• Proven track record in data engineering roles, with a focus on designing and implementing scalable data solutions using Snowflake or Redshift;
• In-depth understanding and practical experience in implementing Kafka-based streaming architectures for real-time data processing.
  
  

✅ We offer excellent benefits, including but not limited to:

✔️Career growth opportunities in an international and dynamic environment;

✔️Opportunity to develop language skills with partial compensation for language courses;

✔️Special gifts for birthdays, weddings, and newborns;

✔️20 working days of paid annual vacation, plus paid sick leaves;

✔️Office snacks and refreshments;

✔️Sports package to support a healthy lifestyle;

✔️Comprehensive medical insurance for you and your partner;

✔️Comfortable office with great facilities in a prime location;

✔️Exciting corporate events, team-building activities, and international company parties.

This role is designed for a "Hub-and-Spoke" organizational model. The Head of Data will not manage the day-to-day tickets of embedded analysts but will own the Data Strategy, Infrastructure, and Standards that allow those analysts to be successful and consistent across the company.

Role Mission

As the Head of Data, the mission is to transform a decentralized data landscape into a unified, high-performance ecosystem. Head of Data will bridge the gap between autonomous product squads and a centralized data vision. Head of Data is the architect of our data culture, ensuring that while analysts sit within different business units, they operate with a common language, world-class tools, and uncompromised data integrity.

Key Responsibilities

Strategic Leadership & Governance

• Unified Data Strategy: Define and execute a global data roadmap that aligns with company-wide OKRs.
• Standardization: Define universal metrics (e.g., "Active User," "Revenue") to ensure a single source of truth across all departments.
• Data Governance: Set policies for data privacy, security, and compliance (GDPR) without bottlenecking the speed of the product teams.

Platform & Infrastructure

• Modern Data Stack: Own the selection and maintenance of our data warehouse (e.g., Snowflake/Redshift), transformation layers (dbt), and BI tools (Looker/Tableau).
• Data Engineering Oversight: Lead the core data engineering efforts to ensure a robust ETL/ELT pipeline that serves the decentralized "spokes."
• Self-Service Enablement: Build the infrastructure that allows non-technical stakeholders to access insights without needing an analyst for every query.

Functional Excellence & Community

• The Data Guild: Create and lead a "Data Guild" or "Community of Practice" to facilitate knowledge sharing, peer reviews, and mentorship among embedded analysts.
• Talent Bar: Define the hiring standards, leveling rubrics, and career paths for all data roles across the company. 
• Best Practices: Drive the adoption of version control (Git), documentation, and automated testing (Data Quality) within the analytic workflows.

Business Impact & Culture

• Data Literacy: Act as an evangelist for data-driven decision-making, coaching C-suite and Product Leads on how to better leverage data.
• Resource Allocation: Partner with Department Leads to identify where data gaps exist and advocate for the placement of analysts in the highest-impact areas.

Key Requirements

Strategic Leadership & Organizational Design

• Architectural Strategy: 6+ years of experience in Data/Analytics, with a proven track record of scaling "Hub-and-Spoke" or Data Mesh models. Demonstrated ability to balance centralized governance with decentralized execution speed.
• Strategic Influence: Proven ability to influence and align senior stakeholders (C-level, Product Leads) who do not have a direct reporting line to this role. Ability to lead through expertise and professional authority.
• Data-as-a-Product Mindset: A strategic approach to treating the data platform, tooling, and core datasets as internal products, where embedded analysts and business units are the primary customers.
• Change Management: Experience in leading organizational transitions (e.g., from centralized to decentralized) and establishing a high-performance data culture across distributed teams.

Technical Excellence & Methodology

• AI Modernization & Tooling: Lead the evaluation and strategic implementation of cutting-edge AI-driven data extraction solutions, ensuring selected technologies align with cross-departmental requirements and scale seamlessly across the organization’s data infrastructure.
• Modern Data Stack Mastery: Expert-level knowledge of cloud data warehousing (e.g., Snowflake, Redshift), transformation layers (dbt), and orchestration.
• Advanced Analytics & Modeling: Proficiency in SQL and Python/R for complex data modeling and predictive analytics. Deep understanding of version control (Git) and CI/CD practices in data workflows.
• Statistical Rigor & Experimentation: Extensive experience in designing and analyzing A/B tests, causal inference, and applying advanced statistical methods to drive business decisions.
• Operational Intelligence: Background in high-scale operational analytics, including forecasting, capacity planning, efficiency analysis, and automated quality assurance.

Functional Management & Governance

• Talent Development & Bar Raising: Experience in defining hiring standards, career frameworks, and mentorship programs for Data Analysts and Data Scientists.
• Data Governance & Quality: Proven ability to establish global data standards, master data management, and unified metric definitions to ensure a "Single Source of Truth" across the organization.
• Storytelling & Communication: Exceptional ability to translate complex technical findings into persuasive, executive-level narratives that drive operational and strategic improvements.
• Pragmatic Problem Solving: A results-oriented mindset with the ability to bridge the gap between high-level data science and pragmatic, actionable business solutions.

What we believe

At TransferGo, we offer competitive rewards to all people. We know that recognition is about more than just money, and we’ve fostered a culture of kudos to shine a light on the great work throughout the business, and the people making it all happen. We hold regular in-person events to connect with each other and help all our TransferNauts to grow with a generous training allowance. We believe that empowering people makes for a happier and more effective workforce. This means we enable anyone who wants to pursue initiatives that deliver real value for our migrant customers. 

What We Offer:

• Competitive Salary: Starting from 19 930-29 920 PLN (gross) per month, depending on experience. Salary is just one part of the conversation – if you’re excited about the role but the range feels slightly off, don’t hesitate to apply. We’re open to discussing based on your experience and potential.
• Comprehensive Benefits: Including a generous holiday allowance, competitive healthcare insurance, and a wellbeing package from day one.
• Annual Development Budget: €1,000 to invest in your personal and professional growth.
• Hybrid Working Environment: Flexibility to work from home and in the office, with most team members in the office two days a week.
• Pet-Friendly Office: If you’re near one of our offices, bring your furry friend along!
• Inclusive Culture: Regular in-person events, fostering a strong sense of community and collaboration.
• Empowerment and Ownership: We believe in empowering our people to take initiative and drive meaningful change.

As Marqeta’s  Workforce Management Lead, you will leverage your expertise in operational forecasting to build and own workforce planning, optimizing staffing and resource allocation across our fintech operations (BPO and internal teams). This role requires a proactive, data-driven professional who can drive operational rigor across multiple value-added services, including dispute handling, fraud operations, and contact center support, deliver accurate capacity planning in a fast-paced, dynamic environment and serve as a trusted advisor to our operations leaders.  As a new internal function, you will have strong influence in how WFM is developed within Marqeta.

This role will be performed in a hybrid work model (Tuesday, Thursday onsite) from our Warsaw office.  We’d love for you to join us!

The Impact You’ll Have

• Develop and maintain short- and long-term capacity plans for multiple customer-facing teams, including specialized dispute handling, chargebacks and contact center inquiries. In the future, further develop capacity models for resourcing of collections agents or in house QA teams
• Analyze historical data, business trends and forecast inputs to replace fragmented spreadsheets and create scalable systems for accurate volume forecasts and actionable staffing models that account for seasonal patterns, product launches, and regulatory requirements
• Drive strong WFM operational rigor across our BPO vendor and the various value added services, ensuring alignment on forecasting methodology, service level expectations and reporting standards
• Collaborate to design optimal staff schedules and manage real-time adherence, proactively identifying performance risks and recommending intraday adjustments to meet service level agreements
• Partner with cross-functional stakeholders (Operations, Finance, Go To Market, Training, QA) to understand business drivers, nuances within the operation, upcoming initiatives and volume impacts, translating them into workforce requirements, approved OTP for training and budget alignment; able to model multiple resulting scenarios to support informed decision-making, including tradeoffs
• Develop north star expectations for efficiency/productivity in our operations.  Monitor and analyze key contact center metrics (AHT, shrinkage, occupancy, service level, adherence, abandonment rates) specific to fintech operations and dispute resolution patterns
• Present capacity insights, staffing recommendations, and performance analysis to leadership
• Optimize multi-skill routing strategies and resource allocation across channels (phone, chat, email) to maximize efficiency and meet customer service objectives
• Continuously improve planning processes, tools, and reporting methodologies to drive greater forecast accuracy, operational efficiency, and planning sophistication. Influence Product/Eng roadmaps for agent system productivity/efficiency metrics
• Collaborate with BPO Workforce Management and MQ Operations and Finance teams to align on headcount planning, hiring timelines, budget allocation, and long-term capacity strategy
• Develop systems to oversee and ensure BPO billing accuracy across hiring, training and production delivery

Who You Are

• Bachelor degree or equivalent education
• 5+ years of experience in workforce management, capacity planning, or advanced business analytics within a fast-paced, service-oriented environment
• 3+ years in fintech, banking, payments or financial services operations
• Proven experience with dispute handling forecasting (chargebacks, fraud claims, payment disputes) and contact center operations & service KPIs
• Experience managing or coordinating BPO partners and various geographical sites
• Strong communication and collaboration skills
• Capable of operating autonomously and without an existing WFM playbook

Nice-To-Haves

• Experience with Snowflake, Datadog or advanced analytics (knowledge of SQL, Python, or experience analyzing CRM data like Salesforce or Zendesk or telephony data like Amazon Connect is a strong advantage)
• Knowledge of financial regulations (Reg E, Reg Z, ACH rules, card network guidelines)
• Familiarity with omnichannel forecasting (phone, chat, email, social media)
• CWPP (Certified Workforce Planning Professional) or similar certification
• Experience managing remote or distributed teams across multiple geographies
• Experience with early-stage organizations, building systems and tooling from the ground up; you’re motivated by building a foundation for future scale

Your Manager

• Katie Clark, Head of Partner Operations & Experience Transformation

Recruiter For This Role

• Agata Wojciechowska 

Typical Process

• Application Submission
• Recruiter phone call
• Hiring manager video call
• Virtual “Onsite” consisting of 4-5, 45 min calls
• Offer!

Compensation and Benefits

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in PLN,  is: 232,000 - 290,000. The bonus target for this position is 15% of the applicable base salary, subject to the plan terms and meeting eligibility requirements.

Along with monetary compensation, Marqeta offers:

• Monthly stipend for your home office equipment and connectivity
• Annual development stipend to support your growth and development
• Pension Scheme provided by Allianz
• Employee health through Luxmed with employee cover paid at 100% by Marqeta
• Four floating holidays as additional paid days off to your annual leave entitlement
• In-office amenities including: drinks and snacks, wellness room, dedicated barista, community events onsite
• MultiSport Plus membership offerings

As Marqeta’s  Workforce Management Lead, you will leverage your expertise in operational forecasting to build and own workforce planning, optimizing staffing and resource allocation across our fintech operations (BPO and internal teams). This role requires a proactive, data-driven professional who can drive operational rigor across multiple value-added services, including dispute handling, fraud operations, and contact center support, deliver accurate capacity planning in a fast-paced, dynamic environment and serve as a trusted advisor to our operations leaders.  As a new internal function, you will have strong influence in how WFM is developed within Marqeta.

This role will be performed in a hybrid work model (Tuesday, Thursday onsite) from our Warsaw office.  We’d love for you to join us!

The Impact You’ll Have

• Develop and maintain short- and long-term capacity plans for multiple customer-facing teams, including specialized dispute handling, chargebacks and contact center inquiries. In the future, further develop capacity models for resourcing of collections agents or in house QA teams
• Analyze historical data, business trends and forecast inputs to replace fragmented spreadsheets and create scalable systems for accurate volume forecasts and actionable staffing models that account for seasonal patterns, product launches, and regulatory requirements
• Drive strong WFM operational rigor across our BPO vendor and the various value added services, ensuring alignment on forecasting methodology, service level expectations and reporting standards
• Collaborate to design optimal staff schedules and manage real-time adherence, proactively identifying performance risks and recommending intraday adjustments to meet service level agreements
• Partner with cross-functional stakeholders (Operations, Finance, Go To Market, Training, QA) to understand business drivers, nuances within the operation, upcoming initiatives and volume impacts, translating them into workforce requirements, approved OTP for training and budget alignment; able to model multiple resulting scenarios to support informed decision-making, including tradeoffs
• Develop north star expectations for efficiency/productivity in our operations.  Monitor and analyze key contact center metrics (AHT, shrinkage, occupancy, service level, adherence, abandonment rates) specific to fintech operations and dispute resolution patterns
• Present capacity insights, staffing recommendations, and performance analysis to leadership
• Optimize multi-skill routing strategies and resource allocation across channels (phone, chat, email) to maximize efficiency and meet customer service objectives
• Continuously improve planning processes, tools, and reporting methodologies to drive greater forecast accuracy, operational efficiency, and planning sophistication. Influence Product/Eng roadmaps for agent system productivity/efficiency metrics
• Collaborate with BPO Workforce Management and MQ Operations and Finance teams to align on headcount planning, hiring timelines, budget allocation, and long-term capacity strategy
• Develop systems to oversee and ensure BPO billing accuracy across hiring, training and production delivery

Who You Are

• Bachelor degree or equivalent education
• 5+ years of experience in workforce management, capacity planning, or advanced business analytics within a fast-paced, service-oriented environment
• 3+ years in fintech, banking, payments or financial services operations
• Proven experience with dispute handling forecasting (chargebacks, fraud claims, payment disputes) and contact center operations & service KPIs
• Experience managing or coordinating BPO partners and various geographical sites
• Strong communication and collaboration skills
• Capable of operating autonomously and without an existing WFM playbook

Nice-To-Haves

• Experience with Snowflake, Datadog or advanced analytics (knowledge of SQL, Python, or experience analyzing CRM data like Salesforce or Zendesk or telephony data like Amazon Connect is a strong advantage)
• Knowledge of financial regulations (Reg E, Reg Z, ACH rules, card network guidelines)
• Familiarity with omnichannel forecasting (phone, chat, email, social media)
• CWPP (Certified Workforce Planning Professional) or similar certification
• Experience managing remote or distributed teams across multiple geographies
• Experience with early-stage organizations, building systems and tooling from the ground up; you’re motivated by building a foundation for future scale

Your Manager

• Katie Clark, Head of Partner Operations & Experience Transformation

Recruiter For This Role

• Agata Wojciechowska 

Typical Process

• Application Submission
• Recruiter phone call
• Hiring manager video call
• Virtual “Onsite” consisting of 4-5, 45 min calls
• Offer!

Compensation and Benefits

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in PLN,  is: 232,000 - 290,000. The bonus target for this position is 15% of the applicable base salary, subject to the plan terms and meeting eligibility requirements.

Along with monetary compensation, Marqeta offers:

• Monthly stipend for your home office equipment and connectivity
• Annual development stipend to support your growth and development
• Pension Scheme provided by Allianz
• Employee health through Luxmed with employee cover paid at 100% by Marqeta
• Four floating holidays as additional paid days off to your annual leave entitlement
• In-office amenities including: drinks and snacks, wellness room, dedicated barista, community events onsite
• MultiSport Plus membership offerings

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.

Senior Frontend React Developer:

As a Frontend Engineer at Shelf, you'll craft the interfaces that make enterprise AI accessible and trustworthy. While others are building chatbots, we're solving the harder problem: how do you build UIs that help users confidently navigate AI-powered systems processing millions of documents, while maintaining enterprise-grade reliability?

You won't just build React components — you'll architect production-ready Next.js applications that handle high-load scenarios with complex states, real-time AI streaming, and multiple layers of enterprise functionality. Every interface decision you make directly impacts how knowledge workers at the biggest companies in the market interact with their most critical information.

This is frontend engineering at its most demanding. You'll tackle challenges like building real-time streaming interfaces for LLM responses, architecting state management for concurrent AI operations across multiple tenants, creating accessible interfaces for complex knowledge graphs with thousands of nodes, and ensuring blazing fast interactions even with petabytes of searchable content. Your components will bridge everything from enterprise authentication systems to cutting-edge AI models, requiring both sophisticated technical skills and sharp product instincts.

We obsess over frontend quality because we're building the trust layer for AI itself. When your interfaces gracefully handle edge cases, provide clear feedback during AI processing, and remain performant under load, you're not just meeting UX standards - you're directly enabling users to trust AI-powered answers and make critical business decisions with confidence.

You'll work on production SSR applications serving thousands of enterprise users, implementing localization for global markets, ensuring accessibility compliance, and maintaining security standards that pass SOC 2 audits. Your code will integrate with our Elasticsearch clusters, DynamoDB tables, and Aurora PostgreSQL databases through the largest park of REST APIs, handling real-time websocket updates for AI streaming and collaborative features.

We're a product company that ships fast without compromising on lasting quality. You'll work alongside proactive, ever-learning engineers who actively use AI coding assistants (OpenAI Codex, Claude Code) to accelerate development. We build custom MCP servers, implement DSPy pipelines for LLM optimization, and experiment with different AI tools for implementation. In our environment, AI isn't just what we build — it's how we build.

The best engineers we know are drawn to problems that matter. If you're excited by the challenge of building interfaces that make the AI revolution actually usable and trustworthy for enterprise users, this role offers the rare combination of technical depth, meaningful impact, and the prestige of solving UX patterns that the industry hasn't figured out yet.

Responsibilities

• Design and implement production-ready Next.js SSR applications with complex state management, handling high-load scenarios and real-time AI interactions at scale
• Build interfaces for AI-powered features including streaming LLM responses, semantic search across millions of documents, interactive knowledge graphs, intelligent content recommendations, and AI agentic builders
• Architect component libraries and maintain our design system in Storybook, ensuring reusability, accessibility, and consistent UX patterns across the platform
• Develop enterprise-grade functionality including multi-language support, accessibility compliance, cross-browser compatibility, and security implementations that meet SOC 2 standards
• Create comprehensive technical specifications and component API designs that clearly communicate interface decisions, performance trade-offs, and accessibility considerations
• Build and optimize data-heavy UIs using React Flow for node-based graphs, Highcharts for analytics visualizations, and custom virtualization for handling large datasets
• Instrument components for performance monitoring, track Core Web Vitals, implement error boundaries, and build automated visual regression tests with Playwright
• Take full ownership of the features you build, monitoring their performance in production, optimizing bundle sizes, and ensuring they scale gracefully as user load grows
• Work with SWR for intelligent data fetching, caching, and revalidation strategies that minimize API calls while keeping UIs responsive and data fresh
• Integrate with backend services via REST APIs, handle websocket connections for real-time updates, and implement optimistic UI patterns for seamless user experiences
• Leverage AI coding assistants to accelerate development while maintaining high code quality, and contribute to building internal AI agents that automate frontend workflows
• Stay current with React ecosystem best practices, Next.js updates, AI UX patterns, and modern frontend architecture—experiment with new approaches and share findings with the team
• Contribute to our engineering standards and practices through thoughtful code reviews, mentor colleagues on frontend best practices, and actively participate in our culture of continuous learning

Requirements

• Over 5 years of professional frontend engineering experience, including more than 3 years specializing in React and modern JavaScript/TypeScript
• Production Next.js experience - you've built and shipped SSR applications at scale, understand app router patterns, server components, and the trade-offs between SSR, SSG, and CSR
• Deep TypeScript expertise - you write type-safe code with generics, utility types, and advanced patterns. 
• Complex state management - hands-on experience architecting state solutions for challenging scenarios: real-time collaboration, optimistic updates, multi-tenant data isolation, and large-scale data synchronization
• Enterprise application development - you've built applications with localization (i18n), accessibility, security best practices, and compliance requirements. You understand the complexity beyond "making it work"
• AI/LLM interface experience - you've built interfaces for AI-powered features: streaming token responses, chat UIs, semantic search, or similar real-time AI interactions
• High-load optimization - proven track record optimizing applications for performance under heavy traffic, large datasets, and concurrent operations. You monitor Core Web Vitals and know how to improve them
• Modern CSS mastery - strong expertise with Tailwind CSS and/or CSS-in-JS solutions. You can implement pixel-perfect designs while maintaining responsive layouts and dark mode support
• Write well-structured, testable code with thoughtful component abstractions and clean APIs. You know when to abstract and when to keep it simple
• Strong problem-solving skills and genuine curiosity - you don't wait for designs to be perfect but proactively identify UX issues and propose solutions. You're never satisfied with "good enough" and constantly refine your craft
• Experience with AI coding assistants (OpenAI Codex, Claude, etc.) and eagerness to push the boundaries of AI-assisted development. Part of this role involves creating AI agents to automate portions of the frontend workflow
• Familiarity with observability and monitoring tools like Datadog, Sentry, or similar platforms for tracking frontend performance and errors in production
• Upper-Intermediate or better English skills for technical communication, documentation, and collaborating with distributed teams
• Present your work effectively both verbally and visually - you can articulate design decisions, create component documentation, and explain technical trade-offs clearly

Be a Plus:

• Experience with React Flow, Highcharts, or other complex data visualization libraries
• Understanding of Node.js/Python/backend fundamentals - you can read backend code and contribute to API design discussions
• Experience with SWR, React Query, or similar data fetching libraries
• Hands-on experience with vector search UIs, RAG interfaces, or semantic search implementations
• Familiarity with MCP (Model Context Protocol), DSPy, or other cutting-edge AI frameworks
• Experience with monorepo tools (Lerna, Turborepo, Nx) and managing shared component libraries
• AWS services knowledge (S3, CloudFront, Lambda) and understanding of serverless architectures
• Built or contributed to design systems or open-source component libraries
• Experience with Playwright, Puppeteer, or Cypress for comprehensive E2E testing
• Experience building AI agent interfaces or agentic AI workflows

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 Codex, TypingMind, v0, MCP Servers, plus credits for experimenting 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.

About Us: 

Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

We are seeking an innovative and experienced AI Architect to join our engineering leadership team. This is a strategic role that will be instrumental in designing and building the next generation of AI-powered features for our continuous testing platform. You will be responsible for architecting scalable and robust AI solutions that transform how our customers gain insights from their test data and production environments, and how they create tests.

Responsibilities:

• Define AI Architecture: Lead the design and architecture of cutting-edge AI/ML solutions for new product offerings, ensuring scalability, performance, quality and reliability within a cloud-native environment.
• AI-Powered Insights (Test & Production):  Architect AI systems to derive actionable insights from vast quantities of test run logs and analytics data. This includes identifying patterns, anomalies, and performance trends.
• Production Error Reporting Integration: Design AI solutions that integrate with our existing error reporting product to analyze production issues for mobile and web applications, providing deeper understanding and predictive capabilities.
• Unified Data Intelligence:  Develop architectures for combining insights from both test runs and production data, creating a holistic view of application quality and user experience.
• Automated Failure Analysis & Remediation:  Architect AI models and systems that can automatically identify failures in test runs, diagnose root causes, and suggest potential fixes or optimizations.
• AI-Assisted Test Case Generation:  Design AI-driven capabilities to assist in the intelligent generation of test cases, improving test coverage and efficiency.
• Leverage Cloud AI Platforms:  Work extensively with Google Cloud Platform (GCP) services, specifically focusing on leveraging and integrating with our self-hosted versions of Gemini Flash models for text generation and understanding.
• Data Strategy & Pipeline:  Collaborate with data engineering teams to define and optimize data pipelines, ensuring efficient data flow from sources (Snowflake, with an eye towards Google BigQuery) to AI models.

Enhance Delivery Process: Help identify the areas of opportunity for delivery process improvements through AI tools and validate the feasibility.

• Technical Leadership:  Provide technical leadership and mentorship to engineering teams, guiding them in the implementation and deployment of AI/ML solutions. Take part in AI governance projects.
• Research & Innovation:  Stay abreast of the latest advancements in AI/ML, evaluating new technologies and methodologies to continuously enhance our product offerings.
• Cross-Functional Collaboration:  Work closely with product management, engineering teams, and senior leadership to translate business requirements into technical AI solutions and roadmaps.

Required Skills:

Education & Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 7+  years of experience in software development and architecture of production-grade systems.

• Extensive AI/ML Architecture Experience:  Proven experience in designing, building, and deploying large-scale AI/ML systems and platforms in a production environment.
• Cloud Expertise (GCP Preferred):  Deep hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow).
• Generative AI Experience:  Practical experience with large language models (LLMs), particularly with models like Gemini Flash, and understanding of their deployment and fine-tuning (especially with regard to prompt engineering, agent orchestration, context windows management and output validation)
• Big Data & Analytics:  Strong background in working with large datasets, data warehousing (Snowflake, BigQuery), and analytics platforms.
• Software Engineering Foundation:  Solid understanding of software development best practices, scalable system design, and microservices architectures.
• Problem-Solving & Innovation:  Exceptional analytical skills with a track record of solving complex, ambiguous problems using AI/ML techniques.
• Leadership & Communication:  Excellent communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences, including senior leadership.
• Hands-on Capability:  While an architectural role, a willingness to be hands-on with prototyping, proof-of-concepts, and guiding implementation.
• Domain Knowledge (Highly Desired):  Familiarity with software testing, quality assurance, DevOps, or application performance monitoring.

Nice to Haves:

• Experience with MLOps practices and tools for managing the ML lifecycle.
• Contributions to open-source AI/ML projects or relevant publications.
• Advanced degree in Computer Science, AI, Machine Learning, or a related quantitative field.

We are a hybrid workplace that recognizes the importance of flexibility while valuing in-person collaboration and relationship building. As a result, Saucers located near an office location must be able and willing to come into the office.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

Job Overview

Wargaming is looking for a proactive, excited, and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player's behavior and the events in the ‘WoT universe’: from economic, financial, and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry, and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for the decision-making process, with the Data Warehouse team responsible for data storage, reports system, and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision making

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release)

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists

• Presenting the research results and filling the product analytics knowledge base to share with other teams

What are we looking for?

• 5+ years experience on a similar position

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results

• Advanced SQL knowledge

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc)

• Experience with Python/R and popular libraries for data processing and analysis

• Great communication skills, both written and spoken, especially for a non-technical audience

• Written and spoken English (B2 and higher)

What additional skills will help you stand out?

• Being prepared to learn, take in, and systemize vast amounts of data within a short time

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake

• Knowledge and practical application of machine learning algorithms

• Rich gaming experience in different games and over 1000 World of Tanks battles

Work mode

• Full-time employment

• Hybrid (2-3 days of work from the office) or remote (from anywhere within Poland).

• Candidates must be legally authorized to work in Poland at the time of application

Type of Contract and Salary

• Employment Contract (umowa o prace)

• The salary range for this role is 15 000 - 25 000 PLN gross monthly

 The final salary within the range will depend on the candidate’s experience, skills, and performance during the interview.

 Please note that this salary range applies to Poland; for other locations, it might be different.

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Warsaw include:

• Additional paid time off (5 Personal Days, Birthday Leave) on top of the statutory minimum

• Sick Leave 100% Compensation (10 days per calendar year)

• Career development and education opportunities within the company

• Premium Private Health Care 

• Mental well-being program (iFeel)

• Multisport card

• Personal Gaming Account 

• Company events

• Seniority Awards  

• Referral program - you can recommend the best talents to the Company and receive a reward  

Please submit your CV in English to ensure smooth processing and review.

As a Senior Growth Analyst at Readdle, you'll own the numbers behind how Spark grows and proactively discover opportunities and validate the impact of initiatives. From the first ad impression to long-term renewals, you'll make sense of the data, design event structures, and ensure everything is measurable. You'll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to discover product & growth opportunities, trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve reports that enable stakeholders to answer key questions with data and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design, sequence, and monitor A/B experiments and feature launches; validate results and ensure statistical rigor & consistent long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with discoveries from data and impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with measurement vendors to meaningfully track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience working on user acquisition, pricing, monetization, and/or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau/Looker/etc. for reporting and complex data visualization and product analytics tooling. Amplitude/Mixpanel/Heap/Hotjar/PostHog for event/property tracking and user journey tracking.
• Experience with marketing attribution platforms (Appsflyer/Adjust/Kochava/etc.); familiarity with Python/R for data analysis and automation. Experience with ML or time-series inference is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), marketing analytics (incl. attribution, MMM, incrementality testing, etc.), statistics, experimentation, and experience with segmentation and modeling churn or LTV. Demonstrable advanced analytics experience (causal inference, quasi-experiments, linear programming, econometrics, etc.) is highly advantageous for the role.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Solid business acumen. Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.

Your key skills and capabilities: 

• Strong SQL and Python skills  

• Data modelling experience (dimensional, relational, or similar)  

• Experience building and maintaining backend systems  

• Familiarity with Microsoft Azure  

• Understanding of APIs, containers, and backend development best practices 

• Implementing cloud-native data platforms 

• Engineering scalable and reliable pipelines 

• Good knowledge of distributed computing with Spark 

• Understanding of cloud architecture principles and best practices 

• Hands-on experience in designing, deploying, and managing cloud resources 

• Agile ways of working 

• Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform 

• Monitoring and performance tuning of cloud-based applications and services  

Nice to haves:  

• Experience with Snowflake, dbt, CubeJS 

• Experience with Databricks, PySpark, ML workflows  

• Experience with containerized deployments (Docker, Kubernetes, Azure Container Apps).  

• Frontend development experience (React, Next.js, TypeScript)  

• Infrastructure-as-code (Terraform, CloudFormation) 

• Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance  

• Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining   

• ML Pipelines & CI/CD – Automate end-to-end ML workflows 

Key tasks:  

• Develop, maintain, and optimise backend services for our SaaS platform  

• Work with SQL and Python daily to build robust data pipelines and transformations  

• Model, structure, and query data to support product features and reporting  

• Integrate and maintain data ingestion flows (e.g., Fivetran, custom connectors)  

• Implement backend APIs (FastAPI) to power our web application  

• Work with our cloud environment (Azure - experience with AWS or GCP also valuable)  

• Collaborate with teammates to plan, build, and deploy features in an Agile way 

• Contribute to CI/CD workflows, monitoring, and infrastructure-as-code 

We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform.