Highlights

• Base Salary: €3,500 - €4,400 gross
• Location: Poland Remote
• Stock options
• Languages: Fluent in Russian and English 

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

The Team

We are a distributed team of 160+ product professionals. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. 

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset.

About the role

Fundraise Up is building high-trust donation and fundraising experiences that help nonprofits grow their impact. We’re looking for a UX Researcher to join our Product Research Team and raise the quality, speed, and decision-making power of research across the product.

This role combines classic UX research and Product Discovery: new markets, segments, and product opportunities. You will work across both B2C and B2B contexts: donor-facing experiences (B2C) and nonprofit/org-facing workflows (B2B).

What You'll Do

• Take a research initiative from the quarterly plan and run it end-to-end: intake brief → write methodology → conduct research → analyse → synthesize → present → push actions.
• Choose the right method: interviews, usability tests, concept tests, surveys, desk research, competitive scans or others — based on uncertainty level, business goals, and timeline.
• Set up the mechanics: access to tools/data, participant scheduling and confirmations, session logistics, note-taking, recording, and documentation — no hand-holding.
• Be the cross-team “glue”: proactively collect hypotheses and context from Sales, Customer Success, Support, Marketing, Analytics, and turn them into testable research questions.
• Stay close to product analytics: monitor dashboards and reports, work with analysts to spot anomalies/drop-offs, form hypotheses, and prioritize what to validate with research.
• Produce outputs people can use immediately: key findings, decisions, trade-offs, risks, and clear recommendations, with supporting evidence (quotes, clips, metrics).
• Keep an internal pulse: regularly review existing research, past studies, competitor insights, and synthesize what’s already known before running something new.
• Be the user best friend: ensure user needs and constraints are represented in product decisions – not just opinions.

Requirements

• Proven experience running research end-to-end with high ownership.
• Strong methodological toolkit and judgment: you can pick the right method for the question, given business goals, timelines, and uncertainty, and explain trade-offs clearly.
• Experience working across both B2C and B2B products and audiences.
• Fluent English — all participants are English-speaking; you moderate and present in English.
• Can work with analytics: read dashboards, spot anomalies/drop-offs, form hypotheses, and validate them via research; PostHog/Tableau is a plus.
• Regularly collect input from Sales, CS, Support, Marketing, Analytics and turn it into testable research questions.
• High research quality bar: structured methodology, and ethical practice.
• Use recruiting platforms and handle logistics yourself: access, scheduling, confirmations, tool setup, etc.
• Use AI tools to speed up ops and synthesis (guides, notes, tagging/themes, survey drafts, summaries) while keeping human judgment and methodological rigor where it matters.
• You don’t need to be a marketer, but you should understand core terms and how they affect research and insights.
• Be the team’s source of new knowledge: run a “research radar” across internal learnings, market/competitor moves, and high-signal UX/product sources, then share regular updates so the team stays current and avoids blind spots.
• Bring exceptional empathy and care for people: our users are nonprofits and donors—people doing good in the world—so you approach participants with respect, sensitivity, and high ethical standards.

Strong plus

• NN/g certifications.
• Academic/scientific research background (graduate/PhD track).
• PostHog / Tableau (or similar analytics tools).
• Productboard (or other insights repository tools).
• Mentoring/teaching (workshops, onboarding, sharing research craft).

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior ML Researcher to develop the core methods that make Spectrum possible – novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with JetBrains Research and external academic advisors.

Your responsibilities will include:

• Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph.
• Creating datasets, metrics, and benchmarks that drive measurable improvements across the system.
• Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production.
• Collaborating with JetBrains Research and external academic advisors to shape our research agenda.
• Publishing research findings at top venues and representing Spectrum in the research community.

We expect you to have:

• A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field.
• A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP.
• Experience applying LLMs to structured knowledge extraction tasks.
• Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation.
• Strong Python and PyTorch skills, with the ability to implement research ideas from scratch.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment.
• A background in code analysis, developer tools, or software engineering research.
• Experience with knowledge graph embedding methods or graph neural networks.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• Actively contributed to relevant open-source projects.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• Full support for publishing ML research and attending industry conferences.
• Collaboration with JetBrains Research and external academic advisors in the knowledge graph and ontology learning community.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• A rare applied research role where your methods ship in a real product used by software teams.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

Location: Poland

We Are:
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.

You Will:
As a Senior Technical Researcher/Engineer within the AdTech Technical Research Team, you'll play a pivotal role in exploring and understanding the latest technologies in the ad tech domain. You'll be responsible for conducting in-depth research, experimenting with new technologies, and collaborating with cross-functional teams to assess their potential for integration into our systems. Your role will involve a blend of programming, research, and analytical skills to evaluate the effectiveness and feasibility of various ad tech solutions.

Desired Experience:

• 5+ years of experience as researcher or engineer.
• Strong technical proficiency: programming skills and the ability to understand large and complex systems and architectures.
• Openness and willingness to experiment & learn: readiness to take on new challenges, explore new technologies, and continuously expand knowledge in the ad tech domain.
• Independence & proactive attitude: ability to take initiative, make decisions, and act without excessive supervision while maintaining a high standard.
• Goal-oriented mindset: focus on achieving specific project goals and adaptability in a dynamic environment.
• Collaboration & communication: ability to cooperate effectively with teammates and other teams, clearly sharing knowledge and cooperating with external organizations (e.g. major browser vendors, W3C, GitHub discussions).
• Ability to build Proof of Concepts (PoCs): creating prototypes and experimental solutions to evaluate effectiveness and utility.
  
  

Selected Technologies & Projects:

• Python, Java, Scala, TypeScript/JavaScript
• PyTorch, NumPy, Pandas
• Jupyter Notebooks
• BigQuery, GCP
• Browser Engines
• Assessing new privacy mechanisms (e.g. Privacy Sandbox APIs) by building PoCs, testing, and suggesting improvements (via GitHub issues or meetings). The goal is to evaluate their feasibility, ensure compliance, and enhance user privacy.
• Exploring solutions for Android and iOS, including creating prototypes to improve performance on mobile platforms. This requires close collaboration with other teams and leveraging ML opportunities.
• Many more — including your own ideas!

We Offer:

• Technology: access to the latest technologies and real opportunity to use of them in a large-scale and highly dynamic projects; extensive and rich datasets
• Impact: your contribution will directly influence the company's business results and outcomes globally, while also giving you the chance to mentor less experienced colleagues in the team
• Wellbeing: extremely flexible conditions – you act when it is convenient for you and devote as much time as you can; you can operate fully remotely
• Culture: be part of a team of enthusiasts with wide experience in ML who willingly share their knowledge and learnings on a daily basis, no BS environment
• Contract Types: B2B

Apply now! 

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

Location: Poland

We Are:

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. As an ML Researcher, you will be responsible for its development.

Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

You Will:

• Designing and implementing models, most often of deep neural networks, used to predict the behavior and preferences of Internet users
• Analysis of the latest works in the field of Machine Learning
• Conducting and analyzing A/B tests of new solutions
• Developing and testing new approaches to modeling key issues, such as bidding in first-price auctions

Desired Experience:

• 4+ years of hands-on experience with Machine Learning / Data Science 
• Interest and willingness to constantly develop in the area of ​​Machine Learning
• Knowledge of statistics and probability
• Proficiency in programming

Selected technologies used:

• Python, Java, Scala
• PyTorch, NumPy, Pandas
• Jupyter Notebooks

Additional advantages will be:

• Experience in the ML industry
• Experience in designing recommendation systems
• Practical knowledge of the tools we use

Sample topics:

• Implementation and analysis of new model architectures, such as convolutional networks, transformer
• Analyze the difference in the distribution of training and production data. Estimating the scale of the problem, identifying the best solution, analysis, implementation, deployment
• Experiments with the use of transfer learning
• A completely new approach to generating product recommendations that is free from proxy targets and uses contrastive loss function

We Offer:

• Cooperate in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills
• Extremely flexible cooperation conditions - you cooperate when it is convenient for you and devote as much time as you can; you can cooperate fully remotely
• Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project;
• Possibility of using the possessed knowledge and competences in practical applications - while optimizing algorithms supporting hundreds of millions of Internet users and monthly buyers of billions of advertising views in the RTB model, based on extensive data sets
• The effects of your cooperate immediately visible in the company's business results
• Possibility to publish your results
• Cooperation based on B2B contract or Contract of Mandate 
• You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.

Apply now!

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

We're building an AI copilot for web testing automation. It enables manual and automation QA engineers to turn their manual testing flows into production-ready automated E2E testing scripts, saving hours of manual work and coding. We are a small team with zero bureaucracy, focusing on real users. We optimize for shipping value - not hype.

About the role:

You'll own the top of the funnel: outbound, qualification, and getting leads to sit down for a conversation. Demos, onboarding, and retention are staying with the founder for now.

Phase one: Get individual Automation QAs to try the product, aiming for fast adoption and no procurement. Once we hit 20+ weekly users, we’ll move on to phase two, where we’ll shift the focus to B2B – qualified meetings with QA Leads and Engineering Managers.

Your focus in the first three months:

• Build targeted lists: Automation QAs at companies with web products and Playwright, Cypress, or Selenium in their stack.
• Run outbound sequences (LinkedIn is the baseline, but you decide the channels). A/B test weekly.
• Design qualification gates (forms and scoring) to filter leads before the founder calls.
• Reach 20+ weekly active users after month one – ICP-qualified and giving direct feedback to engineering.
• Document what works into a repeatable playbook.

Growth path:

This role expands as your strategies deliver results. Once the user pipeline works, you can take over demos and run B2B sales end to end. From there, the natural next step is Growth Lead (funnel optimization and scaling the playbook) or Account Executive (owning deal execution).

Why to join:

• You'll be building a strategy that scales the product, not filling a quota. What you create from scratch becomes the foundation.
• Your outreach turns into users who talk directly to engineering, and their feedback ships as features within days.
• AI for developer tools is a market with real pull, and QA automation is one of its sharpest pain points.
• We’re backed by JetBrains – financially secure with no reliance on external VC funding.

Who we're looking for:

You should have a high level of agency and be quant-minded – you live in funnel metrics, run experiments, and are comfortable saying "no" to leads that are a bad fit. 

The ideal candidate will:

• Have done 0-to-1 outbound for an early-stage devtool, QA tool, infrastructure product, or similar.
• Have proven cold outbound results, instead of being dependent on warm inbound.
• Be able to talk credibly about flaky tests, CI pain, and Playwright vs. Cypress. You don't need to be an engineer, but you do need domain empathy.
• Possess strong written communication skills, with the ability to craft short, sharp messages that get replies.

Nice to have:

• A QA or SDET background – you've felt the pain yourself before moving to sales or BD.
• Exposure to security/compliance objections – enough to pre-empt and route.
• Content skills – your LinkedIn posts get engagement, not just your DMs.
• Experience as one of the first 10 employees at a startup.

#LI-REMOTE 
#LI-KT1

Evoplay is one of the leading iGaming providers, recognized for its innovative approach to game development and technological solutions.

Our mission is to surprise not only the iGaming market but the entire entertainment industry with our interesting and unique products. Our game portfolio of 200+ titles, where each is a unique and exciting story, is presented all over the world, including Europe, Latin America, Asia, and the CIS. The key to this success is the teamwork of like-minded people who are passionate about a common goal and love games. Evoplay is the first to introduce a 3D/VR gambling game at ICE 2018, and created Dungeon: Immortal Evil — the first 3D RPG-inspired hack and slash video slot in 2020. We have received numerous nominations at prestigious iGaming awards ceremonies (EGR’s Awards, CasinoBeats, SBC Awards, etc.)

We’re looking for someone who lives and breathes insights — a research specialist who knows when to run a survey and when to tear a hypothesis apart with data.
You can design a mixed-method pipeline that transforms information into clarity and impact.

This role sits at the crossroads of UI/UX research, user behavior analysis, and market & competitive intelligence.
You’ll help us uncover why players click, how markets shift, and which mechanics or design patterns drive long-term retention and engagement — what’s trending today and what will shape the industry tomorrow.

If you thrive where qualitative meets quantitative, and your natural state is “in research mode”, we’re eager to e-meet you.

Key Responsibilities:

• Translate complex business challenges into actionable research plans and roadmaps.
• Define, design, and lead research projects that inform decision-making across Evoplay, using the most effective mix of methodologies (interviews, surveys, A/B tests, behavioral analytics, competitive analysis, and market studies).
• Translate research findings into clear, actionable recommendations that influence stakeholders across Product, Marketing, and NPD.
• Conduct market and competitor research to identify opportunities, risks, and content gaps — particularly within the iGaming sector.
• Plan and execute user testing sessions (playtests, usability studies, concept validation, prototype evaluations).
• Combine behavioral insights and quantitative data to reveal hidden user motivations.
• Use data and analytics tools (e.g., Power BI, Google Analytics, etc.) to synthesize qualitative insights with quantitative metrics and drive business decisions.
• Generate strategic insights that inform high-impact publishing decisions, from positioning to regional investment and GTM strategies.

Requirements:

• 3–4+ years of experience conducting research across methodologies (UX, ethnographic, quantitative, behavioral).
• Proven track record of impactful research in gaming, iGaming, or entertainment industries.
• Passion for games, human behavior, and design — understanding what makes players tick.
• Strong expertise in both quantitative and qualitative methods (interviews, focus groups, surveys, playtesting).
• Hands-on experience with competitor and market analysis.
• Ability to translate research insights into clear, business-driven decisions.
• Proactive mindset: identify research opportunities aligned with key business objectives.
• Strong understanding of cross-cultural differences and regional market trends across LATAM, EU, and Asia.
• Comfortable working independently in a dynamic, fast-paced environment.
• Impact-driven, with a balance between research rigor and iterative collaboration.
• Strong knowledge of research tools and hands-on experience conducting studies with them (Maze, Hotjar, UserTesting, PlaytestCloud, or similar).
• Understanding of player psychology, engagement loops, and UX design systems.
• Natural curiosity about people, cultures, and how emotions shape digital behavior.
• Ability to collaborate effectively with analytics, product, marketing, and business teams to create cross-functional insight ecosystems.
• Work side-by-side with product managers, designers, and developers to turn insights into measurable design improvements.

Will be plus:

• Experience in the iGaming market.
• Familiarity with regional market nuances (LATAM, EU, Asia, etc.).
• Knowledge of iGaming mechanics, player segmentation, and retention strategies.
• Background in data analytics or behavioral science.
• Experience mentoring others in research best practices.

What we offer:

• Corporate psychologist;
• Gifts for significant occasions;
• Legal support;
• Flexible working hours;
• Direct access to C-level and opportunity to suggest new business ideas and drive changes.

If you are ready to work in a dynamic team, passionate about the product, technology, and the world of entertainment, we’re waiting for your CV to schedule an online meeting and get to know each other better!

Your CV will be carefully reviewed by our TA department, and if it meets the requirements of the position, we will contact you within 3 business days to discuss the possibility of scheduling an interview.

We’re here to make a difference! The iGaming world is fun. It’s an exciting and fast-changing industry, and we provide people with different services for their consistent growth, wellness and fun.