CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

About the Team: Mission Engineering at CHAOS turns simulation output into decisions. We run large-scale modeling and simulation campaigns across all warfighting domains and the full kill chain, against named threats, in operationally relevant scenarios, at the speed engineering, operational, and customer teams actually need. Every CHAOS engineering trade, pursuit, and customer engagement is anchored in rigorous, physics-based, tactically relevant, and statistically valid analysis, and we're scaling the function to meet that bar across a growing product portfolio.

About the Role: On the Mission Engineering team at CHAOS, you will design, develop, execute, analyze, and validate models and simulations to deliver operational analysis and system performance assessment across defense, national security, and commercial programs. You will have freedom to move rapidly and use your expertise to apply rigorous statistical methods to analyze simulation outcomes, quantify system effectiveness, and communicate actionable insights to technical teams, leadership, and customers. Your work will directly inform critical decisions around sensor performance, mission planning, weapon effectiveness, and platform capability evaluation.

This is a foundational hire. You will shape how CHAOS does mission analysis from day one, and you will have the freedom to move fast.

What You'll Do:

• Scope, plan, and execute modeling and simulation efforts and studies aligned to program objectives, managing your competing priorities and timelines effectively.
• Develop, configure, and execute analysis using mission-level models and simulations such as AFSIM, ESAMS, Brawler, Ansys STK, and/or physics-based models to evaluate system and platform performance in operationally relevant scenarios.
• Build and refine models of sensors, communications systems, aircraft (including unmanned), weapons, and spacecraft within mission-level simulation frameworks.
• Architect, implement, and validate models of both blue and red systems, sensors, communications, weapons, aircraft, spacecraft, and ground/maritime platforms, within mission- and engagement-level simulation frameworks.
• Define and apply rigorous statistical methodologies to simulation results to quantify measures of effectiveness and performance to produce relevant and defensible findings for internal and external stakeholders.
• Develop and maintain Python-based analysis tools and pipelines for data processing, statistical analysis, and visualization.
• Implement technical methodology, simulation best practices, and customer engagement.
• Document methodology, assumptions, and findings in technical reports and briefing materials, including data visualizations, and present results to both technical and non-technical audiences.
• Partner with engineering, product, growth, and customer teams to translate operational questions into well-structured analytical approaches and shape new business pursuits. Push back when the framing is wrong.

Minimum Requirements:

• Bachelor's degree or higher in Computer Science, Aerospace/Software/Computer Engineering, Data Science, Statistics, Mathematics, Operations Research, Physics, or a related field.
• 5+ years of experience supporting defense, intelligence, or advanced technology programs through industry or government employment.
• Demonstrated track record leading mission-level operations analysis studies and delivering decision-quality results to senior engineering and customer stakeholders.
• Extensive direct experience with combat simulations such as AFSIM, ESAMS, Brawler, Ansys STK, or equivalent, including ownership of rigorous methodology, not just execution.
• Significant experience developing analytical tools and applying rigorous statistical methods to interpret and present results.
• Strong proficiency in Python and MATLAB, including standard scientific computing libraries (such as Pandas, Polars, NumPy, SciPy, Scikit-Learn, Matplotlib, Seaborn, CuPy, or PyTorch).
• Exceptional data visualization skills and comfort developing CONOPS/OV-1 visuals and briefing packages.
• Proficiency with software development practices including version control and leveraging/validating outputs of AI-assisted coding tools.
• Demonstrated ability to lead analytical efforts and deliver products with minimal oversight, including leading projects and studies.
• Comfortable working on Linux-based systems and writing scalable scripts and software.
• Exceptional written and verbal communication skills, including experience briefing flag/general officer or SES-level audiences.
• Eligibility to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance 

Preferred Requirements:

• Active TS/SCI clearance.
• Recognized expertise analyzing the full kill chain (find, fix, track, target, engage, assess) across multiple domains, including air-to-air, air-to-surface, surface-to-air, space, and electronic warfare engagements.
• Deep expertise in sensor performance analysis (especially radar) and in developing and validating models of sensors, communications, weapons, aircraft, spacecraft, or ground/maritime systems in mission-level simulation environments such as AFSIM or Ansys STK.
• Experience leading study teams or technical working groups across organizations, including model accreditation, V&V efforts, or threat-informed scenario development.
• Experience designing and analyzing large-scale Monte Carlo and DOE-driven simulation campaigns supporting system effectiveness or kill chain assessment.
• Exposure to Distributed Interactive Simulation (DIS) networking and visualization tools such as MAK VR-Forces, SIMDIS, or similar.
• Experience supporting rapid development programs across DoD services, DARPA, ONR, AFRL, COCOMs, the acquisition community, or commercial advanced technology programs.
• Experience supporting capture and positioning activities (RFI/RFP responses, white papers, technical exchanges) and shaping new business pursuits.

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

About the Team: Mission Engineering at CHAOS turns simulation output into decisions. We run large-scale modeling and simulation campaigns across all warfighting domains and the full kill chain, against named threats, in operationally relevant scenarios, at the speed engineering, operational, and customer teams actually need. Every CHAOS engineering trade, pursuit, and customer engagement is anchored in rigorous, physics-based, tactically relevant, and statistically valid analysis, and we're scaling the function to meet that bar across a growing product portfolio.

About the Role: You will own statistical methodology for the Mission Engineering team at CHAOS. You'll design experimental constructs that extract meaningful signals from broad trade studies and computationally expensive simulation runs, build the analytical pipelines the team relies on, push the methodological state of the art on how we characterize uncertainty, build surrogate models, and communicate quantitative results to decision-makers. You will work shoulder-to-shoulder with engineers and experts in every domain to ensure that simulated, experimental, and tactical results presented by CHAOS are rigorous, reproducible, and actually deliver answers that our teams, customers, and partners need

This is a foundational hire. You will have the freedom to move fast and set the standards for how CHAOS does quantitative analysis from day one.

What You'll Do:

• Design rigorous experimental constructs (DOE, space-filling designs, adaptive sampling, sequential experimentation) for large-scale simulation campaigns, getting maximum signal per simulation hour across operationally relevant trade spaces.
• Apply advanced statistical methods (such as regression modeling, Bayesian inference, surrogate/metamodeling, sensitivity analysis, uncertainty quantification, and beyond) to simulation output to produce decision-quality conclusions.
• Build and own scalable Python-based data pipelines for ingestion, processing, statistical analysis, and visualization of large simulation datasets.
• Develop ML and statistical surrogate models that accelerate analysis, enable real-time trade studies, and feed mission planning applications.
• Set team standards for data management, reproducibility, and statistical rigor (such as code review, methodology validation, and documentation practices).
• Translate operational and engineering questions into well-structured analytical approaches alongside M&S engineers, threat SMEs, and program staff. Push back when the framing is wrong.
• Author technical reports and briefing materials with clear, honest data visualizations; present quantitative results to senior technical and non-technical audiences in language they can act on.
• Mentor peers and cross-functional teams on experimental design, statistical methodology, and reproducible analysis.
• Support programs spanning DoD services, DARPA, intelligence community, and commercial customers.

Required Qualifications:

• Bachelor's degree or higher in Statistics, Data Science, Mathematics, Artificial Intelligence, a related quantitative field, or equivalent demonstrated expertise in modern statistical methodology.
• 7+ years applying advanced statistical and data science methods, ideally supporting defense, intelligence, or advanced technology programs.
• Deep working expertise in experimental design, regression and Bayesian methods, uncertainty quantification, and surrogate modeling, not just textbook familiarity.
• Strong proficiency working in Python, including scientific computing and ML libraries (especially Pandas, Polars, NumPy, SciPy, Scikit-Learn, Statsmodels, PyMC, Matplotlib, Seaborn, CuPy, PyTorch), and exposure to MATLAB or R.
• Demonstrated experience building scalable analytical pipelines for large datasets, including comfort with terabyte-scale data and modern dataframe tooling.
• Exceptional data visualization skills and the ability to develop briefing-quality technical products.
• Strong software development practices: version control, code review, reproducible workflows, and informed use of AI-assisted coding tools.
• Track record of working independently, taking ownership of ambiguous problems, and delivering with minimal oversight.
• Comfortable working with Linux operating systems and writing scalable scripts/software.
• Exceptional written and verbal communication skills, especially in translating quantitative approaches and results for non-technical audiences.
• Eligibility to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance.

Preferred Qualifications:

• Master's or PhD in Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field.
• Direct experience applying statistical methods to outputs from military simulations including high fidelity engineering models, war games, and engagement or mission-level combat simulations such as AFSIM, ESAMS, Brawler, or Ansys STK.
• Expertise designing and analyzing large-scale Monte Carlo and DOE-driven simulation campaigns supporting full kill chain or system effectiveness assessment.
• Experience in developing surrogate models, simulations, machine learning, or artificial intelligence models for engineering and operations analysis applications.
• Familiarity with sensor performance analysis (radar, EO/IR, RF, acoustic), weapon effectiveness analysis, or mission-level engagement analysis.
• Experience with HPC environments and distributed computing frameworks (including scalable cloud services and GPU-accelerated computing).
• Leadership experience: mentoring or leading project teams through complex analytical efforts.
• Substantial experience in communicating statistical methods to both technical and non-technical stakeholders and decisionmakers.
• Experience supporting rapid development programs for DoD contractors, combatant commands, research labs, and acquisition communities.
• Active TS/SCI clearance.

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes to our patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions.

We’re looking for a Senior Machine Learning Engineer to help us build a revolutionary new health care business. Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep beneficiaries healthy and out of the hospital by getting them targeted care. By predicting avoidable adverse events, our ML/NLP/LLM infrastructure is central to working on our central mission, and has a direct impact on our beneficiaries. You will help build systems and tools that support the data needs of a diverse organization and contribute to the expansion of the Machine Learning/Natural Language Processing/LLM capabilities of our Data Platform.

As a Senior Machine Learning Engineer, you will:

• Design, implement and validate high-reliability, distributed platforms for machine learning,  natural language processing, and LLMs.
• Create, debug, interpret and improve production machine learning and natural language processing models.
• Build the tools and validation processes that help Clover translate insights into action at scale.
• Use existing commercial and open source tools to create a robust production platform.
• Work closely with Clover's Data Science and Engineering teams to ensure that the ML/NLP/LLM Platform is providing real value.
• Document, iterate, and provide tutorials to ensure Data Scientists are able to use your tools easily.

You will love this job if:

• You want to create impact with your work by finding machine learning-driven insights in the data to unlock value and improve health outcomes for real people.
• You are comfortable acting autonomously in ambiguous and changing environments.
• You value collaboration and feedback. You can communicate technical vision in clear terms— to your teammates and across the technology team more broadly. You are willing and able to help your teammates grow by demonstrating best practices, providing (and receiving) respectful and constructive feedback, and disclosing your unique insights with everyone.
• You enjoy working in a fluid environment, defining priorities that adapt to our larger goals. You can bring clarity to ambiguity while remaining open-minded to new information that might change your mind.
• You are not hesitant to jump in to help fix things that are broken and you are encouraged to make sustainable systems. You are happy to fill in the gaps to reach a goal where necessary, even if it does not always fit your job description.
• You have a genuine interest in what good technology can do to help people and have a positive attitude about tackling hard problems in an important industry.

You should get in touch if:

• You have 5+ years of experience in Machine Learning Engineering roles in technology enabled companies. Healthcare experience preferred but not required.
• You have experience with Python, Python data science libraries (numpy, pandas, sklearn, tensorflow, pytorch, etc.), and deploying Python apps into production environments.
• You have experience with Natural Language Processing and/or LLMs.
• You have a solid foundation in feature engineering, feature selection, and machine learning techniques.
• You have experience interpreting, modifying, and debugging the inputs and outputs of production ML/NLP/LLM models.
• You have both built and refactored complex distributed systems, especially ML/NLP/LLM systems.
• You have scaled the impact of other engineers and data scientists through mentorship, development of reusable libraries, and documentation.

Benefits Overview: 

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
• Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Remote-first culture, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions.

Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.

With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.

Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

#LI-REMOTE

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

Local or 100% Remote

About Point

✨ Real Impact, Real People: Our mission at Point is to make homeownership more valuable and accessible. Your work directly helps homeowners access their wealth, achieve financial flexibility, and realize life changing goals.

✨ Funding: With over $175M raised from top investors like Andreessen Horowitz, WestCap, Greylock, and Prudential, we’re scaling fast! You have the opportunity to join us at a pivotal stage.

✨ Game-changing Product: We're building a category defining company in home equity. We’ve earned a 4.7 Trustpilot rating and an A+ from the BBB, a testament to the value we provide to our 20,000+ customers.

✨ Great Place to Work: Our employees love working here! We are a Certified Great Place to Work and a Fortune Best Workplaces in the Bay Area.

✨ Remote First Culture, Genuine Connection: Work from anywhere in the U.S., while staying closely connected through virtual collaboration, team gatherings, and a people-first culture.

About the role

We are seeking a Senior Data Scientist to join our growing data team. You will be responsible for building and deploying machine learning models to support marketing, customer engagement, and core business use cases. You will also monitor model performance, identify and mitigate model deterioration, forecast business outcomes, and maintain high-quality datasets. The role is not limited to working on machine learning and model development and will also include, but not limited to advanced analytics projects such as root-cause analysis, identifying trends in data and building time-series projections.

This is an excellent opportunity for someone advanced in their data science career to enhance their skills in applied machine learning while working closely with other senior data scientists, engineers, and cross-functional stakeholders.

Your responsibilities

• Model Development: Design, train, and deploy machine learning models to solve marketing, forecasting, and operational problems.
• Model Monitoring: Track model performance, detect drift or deterioration, and assist in implementing corrective measures.
• Forecasting & Insights: Develop time-series forecasts and performance dashboards that inform marketing strategies and broader business decisions.
• Data Management: Clean, transform, and maintain structured datasets to ensure reliable inputs for analytics and modeling.
• Collaboration: Partner with marketing, product, and business teams to translate requirements into data-driven solutions.
• Documentation & Reporting: Produce clear documentation of models, data pipelines, and processes; communicate insights to technical and non-technical stakeholders.

About you

• 4–5 years of hands-on experience in data science, applied statistics, or machine learning (internships and projects count).
• Familiarity and experience working with AI toolkits such as Claude or Gemini or similar.
• Strong foundation in Python (Pandas, NumPy, scikit-learn; PyTorch or TensorFlow a plus).
• Familiarity with SQL for data extraction and transformation.
• Experience with basic machine learning workflows: preprocessing, feature engineering, model training, validation, and monitoring.
• Understanding of data visualization tools (e.g., Tableau, Power BI, or Python libraries like Matplotlib/Seaborn).
• Curiosity and eagerness to learn — especially around model monitoring, forecasting, and marketing analytics.
• Excellent problem-solving skills and ability to communicate insights clearly.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field. A Master’s degree is a plus.
• Advanced knowledge of AI tools
• Expertise on BI dashboarding tools such as Sigma or Tableau preferred
• Strong Excel skills

Our benefits 

• Generous health benefits: We provide comprehensive medical, dental, and vision plans with options for flexible spending accounts (FSA) and health savings accounts (HSA).
• Unlimited paid time off: Recharge with unlimited paid time off and 10 company holidays. 
• Flexible remote and onsite work: Our teams work from many different locations and time zones. We support fully remote work and also have an amazing in-person environment in our downtown Palo Alto, CA HQ. 
• Fully paid parental leave: Point will supplement state Paid Family Leave (PFL) so employees receive 100% of their regular base pay, plus two additional weeks of fully paid leave after state PFL ends. In states without PFL, Point offers up to 8 weeks of paid parental leave. In addition, employees also receive 4 weeks of fully paid transition time, during which you may work 2–3 days per week while receiving full base pay.
• Equity: We offer meaningful equity because we believe in sharing the value you help create. Your contributions directly impact our growth, and your equity gives you a stake in our future success. 
• Financial wellness:  We provide 401K retirement plans for employees as well as guaranteed life insurance and short- and long-term disability coverage. 
• Extra work/life benefits: We provide monthly stipends for internet, mobile plans, wellness perks, a one-time home office reimbursement, and company provided equipment including a MacBook and monitor.

Compensation at Point will be determined by skills, experience, and geographic location. Point has identified the expected annual base salary for this role at this level based on the market by tiers (Region | Location | Market Salary):

• Tier 1 | San Francisco Bay Area, New York, and Seattle | $179,550 - $198,450
• Tier 2 | Chicago, Austin, Denver, Boston, Washington DC, San Diego, Portland, Sacramento, Philadelphia, Los Angeles & Santa Barbara | $164,350 - $181,65
• Tier 3 | All other US metro areas | $156,750 - $173,250

This does not include any other potential components of the compensation package, including equity, benefits, and perks outlined above. At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. At the offer stage, we use the signal we received from our interviews, coupled with your experience, location, and other job-related factors, to determine final compensation.

Location Requirement: This is a remote position. However, candidates must reside in one of Point’s states of operation: AL, AZ, AR, CA, CO, CT, DC, FL, GA, IL, KS, KY, MA, MD, MI, MN, MO, NH, NV, NJ, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI.

Point is proud to be an equal-opportunity employer. We provide employment opportunities regardless of age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. Each individual at Point brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides better services to customers, and helps us all grow and learn. 

SOFTWARE ENGINEER II – DATA ENGINEERING

As a Software Engineer II – Data Engineering based at Rocket Lab’s site in Auckland, New Zealand, you will support the development and deployment of core data services that power engineering, manufacturing, operations, and R&D. You will work on backend services, APIs, data pipelines, and data visualization tools that enable teams across the company to extract value from their data. To be successful in this role, you must be proactive, collaborative, technically strong, and motivated by solving complex engineering challenges. Join a driven team of pioneers relentlessly tackling challenging projects, delivering on the impossible, and shaping the future of space.

WHAT YOU’LL GET TO DO

• Develop APIs, services, and tools that support data indexing, retrieval, visualization, and automation across the company
• Build and maintain data pipelines for engineering, reporting, and operational use
• Develop new software and tooling that support data management and data exploitation
• Maintain and improve existing software products with strong testing and documentation
• Participate in code reviews, architecture design, requirements development, and backlog refinement
• Keep work tickets current and communicate progress clearly to stakeholders
• Demonstrate software to internal teams and coordinate cross‑functionally
• Deploy and support operational software in production environments
• Train and support internal users of data engineering tools and services

YOU’LL BRING THESE QUALIFICATIONS

• Diploma, certificate, or degree in Software Engineering, Computer Science, Electrical Engineering, or equivalent experience
• Minimum five years of experience in a software engineering discipline
• Strong Python development experience
• Experience with Git, CI/CD, and containerization
• Exposure to modern data platforms including data warehouses, datalakes, and lakehouse architectures
• Experience with data analysis tools such as Pandas, NumPy, ETL pipelines, and SQL
• Experience developing REST APIs and backend services
• Familiarity with Jira, Redmine, or similar issue‑tracking tools
• Strong communication skills and the ability to work effectively across teams and time zones
• Ability to assess risk, plan work, prioritize effectively, and take ownership of deliverables

THESE QUALIFICATIONS WOULD BE NICE TO HAVE

• Experience with Kubernetes and deploying services at scale
• Experience with data visualization tools or frameworks
• Knowledge of data science or numerical analysis techniques
• Experience with agile development practices
• Experience in web application development
• Experience in user interface development

NEUTRON
Rocket Lab’s Neutron team is responsible for bringing our new large rocket Neutron and its launch and test sites to life. From designing and testing Neutron’s structures and components, to firing up its new Archimedes engines, to setting up Neutron’s launch pads and test sites across the United States, joining the Neutron team is your opportunity to help launch a new large rocket for the very first time.

SENIOR AERODYNAMICS ENGINEER

Rocket Lab’s integrated analysis team contributes to the operation and development of Neutron by using modelling and simulation to solve challenging problems involving dynamics, fluid flow, and thermodynamics. Whether it is using CFD simulations, writing code to model flow physics, or applying data analysis on flight measurements to develop vehicle performance, analysis is critical to guide changes and develop the capability of Neutron. As a Senior Aerodynamics Engineer in Rocket Lab’s Thermofluids Analysis team you will contribute to the analysis, design validation, and improvements of Rocket Lab’s launch vehicles. 

Day to day, you will be expected to lead concept development, perform trade studies, run simulations, and evaluate performance around Neutron’s aerodynamics, heating, plume interaction and compartment venting. You will be responsible for evaluating aerodynamic control, flow feature characterisation, and representing these by generating aero-table databases. 

Join a driven team that’s tackling challenging projects, delivering on exciting missions, and making an impact on the future of space!

WHAT YOU’LL GET TO DO:

• Perform, validate, and document multi-physics analyses of launch vehicle aerodynamics and provide support for development projects, including: 
  • Identify and leading the implementation of changes to vehicle aerodynamic design and characterisation
  • Performing trade-off studies 
  • System design and optimization 
• Aerodynamic performance and flight dynamics across ascent, re-entry, descent glide and landing 
• Aerodynamic control, operation envelopes and unsteady flow features 
• Represent aerodynamic characteristics through aero tables and models 
• Own aerodynamic loads and environments 
• Own Compartment venting design and environments 

YOU'LL BRING THESE QUALIFICATIONS:

• A degree in Aerospace, Mechanical Engineering or similar field 
• 5+ years industry experience, ideally from the Aerospace, Automotive or Marine industries  with an aerodynamic or fluid dynamics focus
• Excellent understanding of physical principles surrounding aerodynamics, heat transfer, dynamics, internal flow etc.) 
• Demonstrated experience with one or more industry standard CFD packages: Fluent, CFX, STAR-CCM+, etc. 
• Experience in Python and associated scientific packages: numpy, pandas, scipy, matplotlib 
• The ability to work to deadlines within a high-pressure environment  
• Proven communication skills and the ability to build strong working relationships with colleagues and engineering professionals  

THESE QUALIFICATIONS/SKILLS WOULD BE NICE TO HAVE:

• Aerodynamic experience around Controllability, performance and flight dynamics 
• Generating aerodynamic databases for control and guidance from combination of high and low fidelity sources 
• Experience with mechanical systems in a relevant field (e.g. aerospace, automotive, marine)  
• Experience in python for mathematical modelling, analysis tool development and data handling (numpy, scipy, pandas, git, package deployment, continuous integration) 
• Experience with experimental test methods, sensor selection and Thermal protection system design, specification and implementation. 
• Experience with one or more industry standard thermal modelling packages: Thermal Desktop, THERMICA, NX SST 
• Familiarity using Siemens CAD and PDM packages (or comparable industry standard packages) with emphasis on model interrogation and defeaturing for subsequent analyses 
• Familiarity with industry standards (e.g., MIL-STD-1540, GSFC-STD-7000, ECSS-E-HB-32, NASA-STD-5001)  

If you meet some or all of the above requirements apply now, all applications are reviewed and considered.

Position

Are you a passionate Software Engineer looking to bring cutting-edge software solutions to drug discovery? Join our mission to bring novel therapeutics to patients and be at the forefront of driving innovation through technology. As a Software Engineer 2, you will leverage your expertise to develop and implement software solutions that drive our groundbreaking scientific initiatives.

About You

The ideal candidate for this role thrives at the intersection of software and scientific discovery. You are proficient with production-quality Python codebases and can contribute to, maintain, and extend these codebases in a robust and scalable way. At the same time, you understand the fast pace of scientific discovery, and can collaborate with scientists to clarify requirements, focus on result rather than implementation, and keep projects moving forward. You are a strong communicator, especially to non-engineers, as well as a strong team player, always ready to pitch in to help a colleague. You are a continual learner with a growth mindset, eager to learn from your colleagues and expand your talents in a supportive environment and are excited about our mission to bring drugs to patients.

What You’ll Do

• Work with scientists to understand data generated by early drug discovery projects and provide custom analyses and/or production software solutions to answer key questions about the data.
• Build, maintain, and extend tools that deliver machine-learning-based as well as classical algorithmic solutions to scientists.
• Contribute to the continuous improvement of software development processes, tools, and methodologies.
• Conduct thorough code reviews, promoting best practices and identifying opportunities for code optimization and enhancement.
• Collaborate with team members, sharing insights and fostering a culture of knowledge sharing and learning.
• Uphold ethical and data privacy standards in all software engineering activities.

Qualifications

• BS in Computer Science, Mathematics, Physics, Bioinformatics, Biophysics, or a related field, plus 2 years of relevant experience, or equivalent work experience.
• Demonstrated experience (2+ years) with Python; familiarity with scientific programming packages (pandas, numpy) and/or machine learning frameworks (TensorFlow) a plus.
• Undergraduate level biology knowledge required; experience manipulating and analyzing biologically relevant data sets strongly desired (e.g. sequencing data, cellular imaging data, etc).
• Introductory coursework on deep learning or other modern ML approaches, or equivalent work experience, a plus.
• Familiarity with basic software best practices (CI/CDD, unit testing, version control, etc.) highly preferred.
• Strong analytical and problem-solving skills, with the ability to think critically and creatively to overcome technical challenges.
• Effective communication skills to collaborate with diverse teams, both technical and non-technical, especially across disciplines.
• Demonstrated ability to thrive in a fast-paced, dynamic work environment.

At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including:​

• 401k plan with company matching​
• Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)​
• Mental health and wellness benefits​
• Weeklong summer and winter holiday shutdowns​
• Generous paid time off and holiday policies​
• Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies ​
• Enhanced parental leave benefit​
• Daily subsidized lunch program when on-site​

The expected salary range for this role is $135,000 to $147,250 depending on skills, competency, and the market demand for your expertise.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards—you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.
• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.
• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.
• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.
• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.
• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.
• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.
• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.
• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.
• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).
• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).
• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).
• Strong stakeholder management skills—proven ability to present complex technical findings to non-technical audiences.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).
• Experience with dbt for data modeling and transformation.
• Experience building and maintaining data pipelines using orchestration tools such as Airflow.
• Experience working with APIs for data ingestion and integration.
• Familiarity with version control systems (Git).
• Experience in fintech, financial services, or payments.
• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

About the team

Portfolio Solutions is the team within Nu Asset Management responsible for the firm's ETFs and systematic fundos, and the allocation models behind our products and the broader Nubank ecosystem. We believe most of an investor's long-term return comes down to three things: cost, allocation, and discipline. Our job is to deliver all three at scale — which means we treat infrastructure, automation, and AI tooling as core to investment research, not as side projects.

We're looking for a quantitative analyst to strengthen our research, index construction, allocation modeling, and the platform that ties it all together.

What you'll do

• Research, design, and implement indices and systematic strategies across fixed income, equities, and derivatives — including structures such as covered calls, duration barbells, and factor portfolios
• Build and maintain multi-asset allocation models, with attention to efficient replication, tracking error control, and transaction costs
• Run rigorous backtests: no look-ahead, no survivorship, realistic costs. We don't publish a curve without out-of-sample replication
• Help build the quantitative infrastructure of the team: reusable data pipelines, backtest frameworks, monitoring dashboards, and reporting workflows on Databricks. The goal is that every model you build outlives the project it was born in
• Develop AI-powered tools for investment research: LLM-driven analysts on top of our internal datasets, agents for routine analytical tasks, copilots that compress the distance between question and answer for the whole team
• Support the launch of new ETFs — from index methodology to interactions with index prodviders, market makers, administrators, and custodians
• Read papers, replicate results, and tell apart what works from what looks like it works

What we're looking for

• Bachelor's degree in a quantitative field: engineering, math, physics, statistics, economics, computer science, quantitative finance, or equivalent
• 3+ years in quantitative research, systematic asset management, risk, or adjacent roles 
• Strong Python (pandas, numpy, scipy). Comfort writing code that other people will read, run, and extend
• Curiosity about — and ideally experience with — building production-grade analytical infrastructure: pipelines, jobs, dashboards, internal tools
• Genuine interest in applying LLMs and AI agents to quantitative work, not just as users but as builders
• Familiarity with the Brazilian market: NTN-B, IMA, Ibovespa, B3 derivatives, local ETF dynamics
• A collaborative, constructive way of working: you ask for help when stuck, you offer help when others are, you document, you review code, you disagree clearly without making it personal, and you give credit generously
• Ability to communicate quantitative results clearly — to portfolio managers, commercial teams, and ultimately to the end investor

Nice to have

• CFA, CAIA, FRM, or a graduate degree in a quantitative field
• Experience with ETFs, index replication, or benchmark construction
• Hands-on Databricks (Workflows, Delta, Unity Catalog, Databricks Apps), version control discipline, MLOps fundamentals
• Experience designing or shipping internal tools, copilots, or RAG systems

Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

About the team  

Our Warfighter Systems division is pioneering a future where mixed reality (MR), creates immersive, intuitive, and life-saving technologies. By seamlessly integrating real-time data with cutting-edge visualization tools, we are empowering warfighters with unparalleled situational awareness, enhanced training experiences, and operational superiority. This team is consistently pushing the boundaries of what's possible and shaping a future where technology and defense unite to protect our nation.  If this starts to excite you, we invite you to read further!

About the job  

We are seeking a highly skilled and experienced Systems Engineer to design, develop, and validate sophisticated models for our complex electro-mechanical systems, with a particular focus on sensors, cameras, and displays. The ideal candidate will leverage first-principles physics, empirical data, and advanced mathematical techniques to create high-fidelity, predictive models used across the entire product lifecycle – from concept exploration and design optimization to control system development and virtual testing. This role is critical in accelerating our product development cycles, improving system performance, and ensuring robust and reliable operation. 

What you'll do

• Model Development: 
  • Develop mathematical and behavioral models for various sensor types (e.g., IMU, Lidar, Radar, Ultrasonic, environmental sensors), capturing characteristics such as noise, latency, calibration, field of view, and transfer functions.
  • Create detailed camera models, encompassing optics, image signal processing pipelines, distortion, resolution, dynamic range, and temporal characteristics.
  • Integrate individual component models into comprehensive system-level simulations, accurately representing their interactions and overall system dynamics.
  • Develop and maintain Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulation environments. 

• Model Validation & Calibration:
  • Design and execute experiments to gather real-world data for model parameter identification, calibration, and validation.
  • Perform rigorous statistical analysis to quantify model accuracy, uncertainty, and fidelity against empirical measurements.
  • Identify discrepancies between model predictions and real-world behavior and iteratively refine models for improved accuracy. 

• Performance Analysis & Optimization:
  • Conduct trade-off studies using models to optimize system architecture, component selection, and control strategies based on performance, cost, power consumption, and reliability metrics.
  • Predict system performance under various operating conditions and environmental factors.
  • Perform sensitivity analyses to understand the impact of individual parameters on overall system behavior.
  • Support root cause analysis of system issues using simulation. 

• Collaboration & Communication:
  • Collaborate closely with cross-functional teams including Electrical, Mechanical, Controls, Software, and Test Engineers to define model requirements and integrate models into the broader development process.
  • Clearly communicate complex modeling concepts, results, and limitations to both technical and non-technical stakeholders through presentations and detailed documentation. 

• Tooling & Methodologies:
  • Select, evaluate, and implement appropriate modeling and simulation tools and techniques.
  • Develop custom scripts and tools to enhance modeling capabilities and automate workflows.
  • Stay abreast of industry best practices, new modeling methodologies, and emerging simulation technologies. 

Required Qualifications

• 6+ years of experience in system modeling, simulation, and analysis, particularly with electro-mechanical systems.
• Demonstrated experience in developing models for at least two of the following:

• • Sensors: IMUs (accelerometers, gyros), Lidars, Radars, Ultrasonic sensors, microphones, etc. (noise characteristics, drift, latency, sensor fusion).
  • Cameras: Optical models, image processing pipeline models, distortion, noise, dynamic range, rolling shutter effects.
  • Display: See/pass-through near eye display architectures, optical modeling, validations, & human perception 

• Strong theoretical foundation in classical and modern control systems, dynamics, signal processing, and numerical methods.
• Proficiency in primary modeling and simulation tools such as MATLAB/Simulink (Simscape a plus), Python (SciPy, NumPy, Pandas), or C/C++.
• Experience with model validation against experimental data and statistical analysis techniques.
• Excellent problem-solving skills, with an ability to apply first principles to complex engineering challenges.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment. Strong technical communication skills to collaborate effectively with cross-functional teams. 
• U.S. Person Status: Due to government contract requirements, candidates must be a U.S. Person (U.S. Citizen or Green Card holder).
• Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, Physics, or a related quantitative field. 

Preferred Qualifications

• Ph.D. in a relevant engineering or scientific discipline.
• Familiarity with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing methodologies and platforms (e.g., dSPACE, National Instruments).
• Knowledge of advanced control techniques (e.g., adaptive control, optimal control, robust control) and estimation algorithms (e.g., Kalman filters, particle filters).
• Experience with machine learning techniques for model identification, surrogate modeling, or data-driven predictions.
• Exposure to systems engineering processes, requirements management, and configuration control.

About the team  

Our Warfighter Systems division is pioneering a future where mixed reality (MR), creates immersive, intuitive, and life-saving technologies. By seamlessly integrating real-time data with cutting-edge visualization tools, we are empowering warfighters with unparalleled situational awareness, enhanced training experiences, and operational superiority, primarily through our EagleEye augmented reality system. This team is consistently pushing the boundaries of what's possible and shaping a future where technology and defense unite to protect our nation.  If this starts to excite you, we invite you to read further!

About the job  

We are seeking a highly skilled and experienced Systems Engineer to design, develop, and validate sophisticated models for our complex electro-mechanical systems, with a particular focus on sensors, cameras, and displays. The ideal candidate will leverage first-principles physics, empirical data, and advanced mathematical techniques to create high-fidelity, predictive models used across the entire product lifecycle – from concept exploration and design optimization to control system development and virtual testing. This role is critical in accelerating our product development cycles, improving system performance, and ensuring robust and reliable operation. 

What you'll do

• Model Development: 
  • Develop mathematical and behavioral models for various sensor types (e.g., IMU, Lidar, Radar, Ultrasonic, environmental sensors), capturing characteristics such as noise, latency, calibration, field of view, and transfer functions.
  • Create detailed camera models, encompassing optics, image signal processing pipelines, distortion, resolution, dynamic range, and temporal characteristics.
  • Integrate individual component models into comprehensive system-level simulations, accurately representing their interactions and overall system dynamics.
  • Develop and maintain Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulation environments. 

• Model Validation & Calibration:
  • Design and execute experiments to gather real-world data for model parameter identification, calibration, and validation.
  • Perform rigorous statistical analysis to quantify model accuracy, uncertainty, and fidelity against empirical measurements.
  • Identify discrepancies between model predictions and real-world behavior and iteratively refine models for improved accuracy. 

• Performance Analysis & Optimization:
  • Conduct trade-off studies using models to optimize system architecture, component selection, and control strategies based on performance, cost, power consumption, and reliability metrics.
  • Predict system performance under various operating conditions and environmental factors.
  • Perform sensitivity analyses to understand the impact of individual parameters on overall system behavior.
  • Support root cause analysis of system issues using simulation. 

• Collaboration & Communication:
  • Collaborate closely with cross-functional teams including Electrical, Mechanical, Controls, Software, and Test Engineers to define model requirements and integrate models into the broader development process.
  • Clearly communicate complex modeling concepts, results, and limitations to both technical and non-technical stakeholders through presentations and detailed documentation. 

• Tooling & Methodologies:
  • Select, evaluate, and implement appropriate modeling and simulation tools and techniques.
  • Develop custom scripts and tools to enhance modeling capabilities and automate workflows.
  • Stay abreast of industry best practices, new modeling methodologies, and emerging simulation technologies. 

Required Qualifications

• 9+ years of experience in system modeling, simulation, and analysis, particularly with electro-mechanical systems.
• Demonstrated experience in developing models for at least two of the following:

• • Sensors: IMUs (accelerometers, gyros), Lidars, Radars, Ultrasonic sensors, microphones, etc. (noise characteristics, drift, latency, sensor fusion).
  • Cameras: Optical models, image processing pipeline models, distortion, noise, dynamic range, rolling shutter effects.
  • Display: See/pass-through near eye display architectures, optical modeling, validations, & human perception 

• Strong theoretical foundation in classical and modern control systems, dynamics, signal processing, and numerical methods.
• Proficiency in primary modeling and simulation tools such as MATLAB/Simulink (Simscape a plus), Python (SciPy, NumPy, Pandas), or C/C++.
• Experience with model validation against experimental data and statistical analysis techniques.
• Excellent problem-solving skills, with an ability to apply first principles to complex engineering challenges.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment. Strong technical communication skills to collaborate effectively with cross-functional teams. 
• U.S. Person Status: Due to government contract requirements, candidates must be a U.S. Person (U.S. Citizen or Green Card holder).
• Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, Physics, or a related quantitative field. 

Preferred Qualifications

• Ph.D. in a relevant engineering or scientific discipline.
• Familiarity with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing methodologies and platforms (e.g., dSPACE, National Instruments).
• Knowledge of advanced control techniques (e.g., adaptive control, optimal control, robust control) and estimation algorithms (e.g., Kalman filters, particle filters).
• Experience with machine learning techniques for model identification, surrogate modeling, or data-driven predictions.
• Exposure to systems engineering processes, requirements management, and configuration control.

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

CMT is looking for a creative, collaborative, and highly motivated Machine Learning Intern to help develop applied machine learning capabilities using real-world mobility and behavioral data. This internship is ideal for someone who enjoys solving ambiguous problems, building practical ML workflows, working with messy real-world datasets, and translating technical findings into clear recommendations.

The intern will work on a 12-week applied ML project involving data exploration, labeling strategy, feature engineering, model development, evaluation, and stakeholder-facing analysis. The ideal candidate has strong Python skills, a solid foundation in machine learning, strong initiative, and the ability to make progress in open-ended problem spaces.

Responsibilities:

• Explore real-world mobility datasets and identify useful behavioral, temporal, contextual, and aggregate patterns
• Help define practical data labeling guidelines, quality criteria, and edge-case handling rules
• Build and validate datasets for supervised machine learning experiments
• Develop baseline and improved ML models using Python and standard data science workflows
• Perform feature engineering, model evaluation, error analysis, and iteration
• Assess model performance across relevant data segments and edge cases
• Summarize findings, limitations, risks, and opportunities for technical and product stakeholders
• Produce clear documentation, analysis reports, and final recommendations

Qualifications:

• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Machine Learning, Statistics, Engineering, Applied Math, or a related quantitative field
• Strong Python programming skills and comfort working with real-world datasets
• Solid understanding of supervised machine learning, feature engineering, classification metrics, train/test splits, and error analysis
• Experience with common Python data science libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, or similar tools
• Strong analytical and problem-solving skills, with a bias toward initiative and ownership
• Clear written and verbal communication skills, including the ability to explain technical findings to non-technical stakeholders

Compensation and Benefits:

• Fair and competitive hourly rate based on education level
• Flexible scheduling options depending on role and responsibilities

Additional Perks:

• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

IMC Americas, Inc. has multiple openings for Trader (REQ#4461664101) in Chicago, IL and Brooklyn, NY.

Your Core Responsibilities

• Develop, maintain, and enhance mathematical models, strategies, and trading system components for quantitative proprietary trading in collaboration with developers (10%).
• Independently design and implement changes to trading models, strategies, and systems from end-to-end, including conceiving of proposed changes, creating a testing plan, and performing tests, and implementing changes (15%).
• Analyze, interpret, and model financial, economic, and industry data to optimize trading and maximize revenue generation using existing internal tools (15%).
• Create custom analysis tools for use at the firm to perform research beyond available analysis tools (5%).
• Prepare and present high-quality financial analysis and reports following IMC global guidelines (15%).
• Perform daily operational tasks on the trading desk, ensuring systems are running correctly and escalating as needed to designated contacts (15%).
• Supervise and mentor graduate traders and interns (10%).
• Train graduate traders through the firm's traineeship (5%).
• Contributing to planning and prioritization decisions of future projects on their trading desk (5%).
• Monitoring and managing a trading firm's risk exposure (5%).

Partial telecommuting permitted. Multiple positions available. Requisition Number: 4461664101

Your Skills and Experience

This position requires a Bachelor's degree, or foreign equivalent, in Mathematics, Econometrics, Computer Science, Financial Engineering, Physics, or similarly quantitative and mathematical field and one (1) year of experience in the job offered or a related position.

Must have experience in the following skills:

• Developing, maintaining, and enhancing mathematical models, strategies, and trading system components for quantitative proprietary trading in collaboration with developers;
• Operating trading strategies through a range of market circumstances, having a thorough understanding of risk at any point in time;
• Rolling out and verifying new features on trading strategies;
• Managing a trading firm's risk exposure;
• Using Python and python coding libraries, including Pandas, NumPy, and SciPy to assist in quantitative analysis; and
• Experience trading products and navigating compliance regulations in trading markets. 

Requires FINRA Certifications: (1) SIE and (2) Series 57.

#LI-DNI

We are looking for a Senior Staff Software Engineer for Application Engineering. As a Sr Software Engineer on the Applications Engineer team, you’ll be part of a cross-functional team whose mission is to deliver real-world applications and value from the leap forward in computing enabled by quantum technology. 

We don't just build the world's best quantum computers - we apply cutting edge quantum computing tools to real world problems. Until now, our team of Applications Scientists have been building prototypes, working closely with our customers. Our new department, Applications Engineering, will ultimately help transform proven quantum computing use-cases pioneered by our scientists into production applications, making those innovations available to more people and businesses by packaging and deploying these tools as SaaS applications.

But first, we must mature existing proof-of-concept quantum code into production grade applications. As a hands-on team lead for a new engineering team, you will work on enhancing developer experience (DevEx) by applying best practices to research-grade code. You will also set up CI / CD pipelines, software packing tools, and pre/post flight tests for new algorithms as they go into deployment. Where possible you will also be in charge of optimizing and parallelizing traditional algorithms, to reduce pre-processing and post-processing workloads. You will spearhead a new team taking newly invented quantum applications, and turning them into well defined modules of reliable SaaS applications. Think of it as being a forward-deployed engineer for quantum computing applications; the strongest candidates will be generalists with wide-ranging interests. 

This team will work closely with Developer Tools, Infrastructure, and Product teams to solve problems by choosing the right technologies, and standardizing and automating those solutions. The right engineer will be comfortable working on refining chemistry simplification via Quantum Computing tool one quarter, and turning a novel quantum topology solver into a service the next - and love pair programming with scientists. They’ll bring the quantum expertise; you bring the deep and broad experience in classical programming.

Responsibilities:

• Partner with Application scientists to help deliver cutting-edge solutions for customers
• Elevate Applications code quality generally through architectural review, code review, standards, and best practices
• Improve Applications pace of delivery by creating CI / CD pipelines and other packaging automation, as well as test infrastructure and coverage
• Help productize computing code, especially improving data processing in pre-quantum and post-quantum processing steps
• Work closely with peers in Applications, Developer Tools, and Product teams to share best practices and feedback on internal tools
• Reporting to the Director of Application Engineering, help hire and mentor developers on the team

You’d be a good fit with:

• 12+ years of experience as a backend or full-stack developer, preferably in Python or Golang
• 5+ years of experience in setting up and maintaining CI / CD pipelines, in Github Actions, Jenkins, or similar tools
• 5+ years of experience in C/C++ or Rust
• 3+ years of experience in Docker, k8s, or similar containerization technologies
• A track record of shipping containerized applications that solve real business problems
• Previous work in scientific computing, quantum computing, or a related field
• Daily usage of augmented coding tools like Claude or Gemini 

You’d be a great fit with:

• 5+ years of experience in scientific computing, especially with data analysis using numpy, pandas, or similar
• Experience in HPC or performance optimization
• Experience in converting traditional algorithms into CUDA, OpenMP workflows, or similar parallelization experience
• Experience with workflow orchestration engines like Airflow, Dagster, or Temporal

Location: This position can work onsite or hybrid from our office in Bothell, WA; College Park, MD; or Boulder, CO
Travel: 5% for quarterly travel for collaboration 
Job ID:  1312

The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).

The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You will:

• Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions 
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases.
• Be able and willing to multi-task and learn new technologies quickly

Ideally you'd have:

• 7+ years of full-time engineering experience, post-graduation
• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

About the Role Scale is at the frontier of GenAI and human-AI collaboration. The Gen AI Ops Trust and Safety team is focused on safeguarding human authenticity and genuineness in AI training. We are looking for a highly analytical Technical Program Manager (TPM) who leans heavily into fraud analytics and data-driven strategy to protect our ecosystem.

This isn't a project management role. You will act as the lead investigative analyst and program owner for our fraud defense portfolio. Your day-to-day will involve diving deep into complex datasets to uncover hidden fraud vectors, and then translating those analytical insights into scalable rules, policies, and operational programs. By utilizing AI coding tools at high velocity, you will build out analytics pipelines, dashboards, and detection logic to shift Trust and Safety from a reactive function to a strategic one that balances safety and growth.

You will:

• Analyze large, messy behavioral events to identify ambiguous and constantly evolving fraud patterns across the contributor lifecycle.
• Translate your analytical findings into actionable detection logic. You will redesign rules, optimize thresholds, and decision flows to catch bad actors while minimizing friction for high-quality contributors.
• Establish robust KPIs, build tracking dashboards, and define offline evaluation frameworks (e.g., false positive monitoring, precision/recall analysis) to continuously measure the health of our risk strategy.
• Act as the connective tissue between data, operations, and engineering. You will use your analytical findings to implement technical execution, taking new detection capabilities from data prototype to production deployment.
• Leverage AI-assisted IDEs daily to rapidly write complex SQL queries, automate data pulls, and streamline your analytical workflows.
• Connect signals, data, and operations to see the full picture. Provide clear, direct communication regarding fraud trends and strategy shifts to both technical and non-technical partners.

Ideally, you’d have:

• 5-8 years of experience in risk strategy and fraud analytics. You have a battle-tested track record of reverse-engineering adversarial patterns, dismantling complex fraud vectors, and driving highly analytical Trust & Safety or TPM programs.
• Expert proficiency in SQL skills. You must be highly comfortable extracting insights from large datasets in noisy, adversarial environments.
• An execution-driven mindset focused on delivering measurable results, not just theoretical analysis. You are comfortable working in ambiguity and taking ownership from data problems to operational solutions.
• Strong proficiency with AI coding assistants to accelerate data exploration and query writing.
• Deep understanding of how to balance aggressive fraud detection with marketplace growth. You make decisions based on what's right for the business, not what's convenient.

Nice to haves:

• Solid Python skills (e.g., Pandas, NumPy) for advanced data manipulation and scripting
• Experience working in marketplace or gig-economy platforms is a plus

Your Impact on our Mission

Zocdoc’s most important asset is our people. As a Staff Data Scientist, Marketplace, you’ll play a meaningful role in transforming healthcare by shaping how millions of patients discover and book care.

The Marketplace team is responsible for driving patient demand, optimizing the search and booking experience, and ensuring a healthy, high-performing two-sided marketplace. This includes areas such as Growth, Search, Insurance, and Patient Home.

As a strategic technical leader on the Marketplace Analytics team, you’ll design and scale analytical frameworks that inform product and growth strategy, guide experimentation, and optimize performance across the patient funnel—from acquisition through booking and retention. Your work will directly improve marketplace liquidity, efficiency, and long-term value.

You’ll enjoy this role if you are…

• Passionate about transforming healthcare through data and turning complex datasets into meaningful product insights

• A force multiplier who loves mentoring and enabling teams to deliver scalable, high-impact work

• Comfortable operating at the intersection of business strategy, data science, and product innovation

• Energized by complex, ambiguous problems and skilled at translating them into structured analytical solutions

• Personally motivated by building systems, frameworks, and capabilities that outlast any one analysis

• Serious about your work, but not about yourself — you value rigor and humility equally

Your day to day is…

• Partnering with Product, Marketing, Finance, Engineering, and Commercial teams to translate insights into actionable product and business strategy

• Architecting and executing experimentation frameworks, including A/B testing design, power analysis, variance reduction, and advanced causal inference methodologies (e.g., DiD, synthetic controls, propensity modeling, causal forests)

• Identifying, designing, and guiding the development of analytical models (e.g., LTV, survival, uplift models) to improve provider utilization, acquisition, retention, patient engagement, and client ROI

• Establishing scalable statistical frameworks and best practices to quantify the impact of product and commercial initiatives

• Partnering with Engineering to ensure data quality, event instrumentation, feature availability, and scalable pipelines that enable trustworthy analysis

• Mentoring and upskilling analysts and data scientists, raising the bar for analytical rigor and impact across Zocdoc

• Advancing AI-assisted analytical workflows to streamline recurring analysis and decision support

• Working with cutting edge GenAI tools and technology

You’ll be successful in this role if you have…

• An unrelenting desire to build more equitable, inclusive, and diverse workplaces, and view this role as an opportunity to create positive change

• 8+ years of experience in data science, machine learning, or related quantitative roles

• Proven success developing LTV models, survival models, uplift models, or similar predictive frameworks for customer targeting and optimization

• Deep expertise in SQL and Python (pandas, NumPy, scikit-learn, statsmodels)

• Strong knowledge of experimentation and causal inference, including statistical power analysis, experiment design, and quasi-experimental methodologies

• Experience shaping and scaling analytics functions—not just building individual models

• Experience working in cross-functional product organizations

• The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity

• Superb communication skills and the ability to influence non-technical stakeholders

• The mentality of an entrepreneur/owner with a strong bias to action

• Humility — you treat all people with dignity and respect, regardless of title or tenure

Nice to have

• Master’s or PhD in Statistics, Economics, Applied Math, or another quantitative field

• Experience within a SaaS organization

Benefits

• Flexible, hybrid work environment at our convenient Soho location

• Unlimited Vacation

• 100% paid employee health benefit options (including medical, dental, and vision)

• Commuter Benefits

• 401(k) with employer funded match

• Corporate wellness program with Wellhub

• Sabbatical leave (for employees with 5+ years of service)

• Competitive paid parental leave and fertility/family planning reimbursement

• Cell phone reimbursement

• Catered lunch everyday along with beverages and snacks

• Employee Resource Groups and ZocClubs to promote shared community and belonging

• Great Place to Work Certified

Your Core Responsibilities

• Collaborate with Traders to evaluate and enhance the performance of IMC’s existing proprietary trading models using advanced mathematical and analytical methods.
• Design quantitative methods to gather and analyze historical market data, trading statistics or new data sources and use the result of that research as the basis for new trading strategies.
• Translate trading strategies into mathematical models, algorithms, and other complex computational programs to realize the combined vision of the trading team.
• Build custom computational data analysis tools to explore new quantitative research ideas; design mathematical models to test, visualize and refine trading ideas before implementation.
• Apply rigorous analytical and quantitative techniques to solve complex problems presented by new and existing proprietary trading strategies.
• Coordinate with developers to implement new and improved quantitative trading models and launch them into production on IMC’s proprietary trading platform
• Conduct all quantitative trading research, development, and implementations according to internal best practices to keep IMC’s trading ecosystem logical and consistent.

Partial telecommuting permitted. Multiple positions available.

Quantitative Researcher (Requisition ID: 4453347101)

Your Skills and Experience

This position requires a PhD, or foreign equivalent, in Finance, Financial Mathematics, Financial Engineering, Statistics, Computational Mathematics or similarly quantitative and mathematical field.

Must have demonstrated experience in each of the following skill(s):

• Application of analytical and quantitative techniques to solve complex problems;
• Designing and implementing mathematical models and algorithms, including linear modeling, convex optimization, and numerical methods for large-scale data and parameter estimation;
• Developing and using computational data analysis tools for research;
• Statistical programming techniques (including Python or C++) and designing and executing independent quantitative research projects, including formulation of hypotheses, development of models, empirical testing, and clear documentation of results;
• Time series analysis, applied statistics, and theoretical mathematics (such as probability, measure theory/real analysis, and linear algebra);
• Implementing algorithms, conducting data analysis, and building research pipelines using numerical and scientific computing libraries (such as NumPy, pandas, SciPy) and version control (such as Git);
• Experience with time series modeling and forecasting, including stochastic processes and state-space or related frameworks, such as applied to real-world data; and
• Conducting literature reviews and replicating and extending prior work with methodological rigor and reproducibility.

#LI-DNI

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for an exceptional Data Scientist with strong experience in index data. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of index data across the firm's systematic strategies.

Your future role within QRT

This team is integral to the firm's success. As such, your responsibilities will include:

• Collaborating with Quantitative Researchers and Traders to design and maintain index and ETF datasets that drive systematic strategies and inform discretionary trading decisions

• Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats, including index constituent data, benchmark compositions, weightings, rebalancing schedules, ETF holdings and flows, and associated reference data

• Working with Engineers to automate and optimise your code, ensuring robust data extraction processes

• Managing the end-to-end process of onboarding new index and ETF datasets, including equity indices, fixed income indices, ETFs, custom baskets, and related benchmark products

• Proactively solving data related problems to minimise time to production

• Innovating and experimenting with novel data extraction methods to enhance the firm's data onboarding toolkit

Your present skillset

• 2+ years of experience as a Data Scientist (or similar position) working with index or ETF data, benchmark data, or index-linked financial products; experience in a buy-side quantitative finance role is strongly preferred

• Solid understanding of index construction, constituent methodology, rebalancing mechanics, ETF structure and flows, and the role of benchmarks in systematic and portfolio-level strategies

• Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering

• Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy

• Proven experience building and managing data pipelines end-to-end; from sourcing and extraction through to cleaning, processing, and delivery

• Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors

• Ability to work in a high-performance, high-velocity environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of data at the firm.

Your future role within QRT

This team is integral to the firm’s success. As such, your responsibilities will include:

• Collaborating with Quantitative Researchers and Traders to design datasets that drive systematic strategies and to inform discretionary trading decisions
• Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats
• Working with Engineers to automate and optimise your code, ensuring robust data extraction processes
• Managing the end-to-end process of onboarding new datasets
• Proactively solving data related problems to minimise time to production
• Innovating and experimenting with novel data extraction methods to enhance the firm’s data onboarding toolkit

Your present skillset

• 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
• Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
• Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
• Demonstratable interest in financial markets and the application of data in its analysis and understanding
• Experience working with both traditional and alternative financial datasets
• Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
• Ability to work in a high-performance, high-velocity environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Design, develop, and maintain software solutions with clean, modern architecture
• Partner with front office to drive technical solutions around new trading initiatives
• Communicate with quants and traders regularly to deliver bespoke solutions
• Bring in new ideas and insights using data driven pipelines and analytics

Your present skillset

• 2-8 years of software development experience
• Solid experience in Python and core libraries such as Numpy, Pandas is a must
• Proven understanding of modern software architecture
• Strong computer science fundamentals
• Experience with Linux environments, Cloud Platforms (AWS preferred) and Containerized applications (Docker preferred)
• Experience with other programming languages such as Java, C++, C# is a plus, but not necessary
• Agility to work in a fast-paced environment with varying demands
• Strong team-player
• Strong communication skills essential
• Previous experience in finance is an advantage, but not a must

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for an exceptional Data Scientist with a strong fixed income background. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of data across the firm's fixed income strategies and beyond.

Your future role within QRT

This team is integral to the firm's success. As such, your responsibilities will include:

• Collaborating with Quantitative Researchers and Traders, particularly within fixed income, to design datasets that drive systematic strategies and inform discretionary trading decisions
• Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats, including fixed income market data, reference data, and pricing feeds
• Working with Engineers to automate and optimise your code, ensuring robust data extraction processes
• Managing the end-to-end process of onboarding new datasets, with a focus on fixed income instruments such as bonds, rates, credit, and derivatives
• Proactively solving data related problems to minimise time to production
• Innovating and experimenting with novel data extraction methods to enhance the firm's data onboarding toolkit

Your present skillset

• 2+ years of experience as a Data Scientist (or similar position) working with fixed income data; experience in a buy-side quantitative finance role is strongly preferred
• Solid understanding of fixed income markets and instruments including bonds, interest rates, credit, yield curves, or related derivatives
• Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering
• Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
• Proven experience building and managing data pipelines end-to-end; from sourcing and extraction through to cleaning, processing, and delivery
• Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
• Ability to work in a high-performance, high-velocity environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a group driven by technology and data, implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

You will work on systems and tooling at the intersection of trading infrastructure and market microstructure. The role focuses on building data pipelines, analytics and libraries that support execution analysis and improve trading performance. You will operate close to the trading stack, working with high resolution datasets and contributing to both research and production systems.

Your future role within QRT

• Analyse trading behaviour across venues to identify execution inefficiencies and improve latency and fill performance
• Develop Python libraries, data pipelines and tooling to process exchange protocols, order flow and large scale trading data
• Build analytical frameworks, metrics and monitoring tools to evaluate execution quality and system performance
• Contribute to production systems supporting live trading, including data validation, pipeline reliability and real time monitoring
• Collaborate with stakeholders to translate analytical insights into measurable improvements in execution performance
• Work with research and infrastructure teams to support ongoing development of execution analysis and market behaviour understanding

Your present skillset

• Degree in Computer Science, Engineering, Mathematics or a related quantitative field
• 7+ years of professional experience in Python development, building libraries, data platforms or analytical tooling
• Strong experience working with large scale and time series datasets using tools such as NumPy and Pandas
• Solid SQL knowledge and experience working with analytical databases
• Strong problem solving skills with the ability to investigate complex data and system behaviours
• Ability to translate analytical or trading related problems into robust engineering solutions
• Experience working in Linux environments and applying software engineering best practices such as testing, version control and continuous integration
• Strong communication skills with the ability to collaborate across technical and non technical stakeholders
• Familiarity with financial markets, electronic trading or execution analysis
• Exposure to network protocols, packet analysis or performance optimisation techniques is beneficial
• Experience with lower level programming languages such as C, C++ or Rust is advantageous

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 

We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of data at the firm.

Your future role within QRT

This team is integral to the firm’s success. As such, your responsibilities will include:

• Collaborating with Quantitative Researchers and Traders to design datasets that drive systematic strategies and to inform discretionary trading decisions
• Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats
• Working with Engineers to automate and optimise your code, ensuring robust data extraction processes
• Managing the end-to-end process of onboarding new datasets
• Proactively solving data related problems to minimise time to production
• Innovating and experimenting with novel data extraction methods to enhance the firm’s data onboarding toolkit

Your present skillset

• 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
• Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
• Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
• Demonstratable interest in financial markets and the application of data in its analysis and understanding
• Experience working with both traditional and alternative financial datasets
• Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
• Ability to work in a high-performance, high-velocity environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for an exceptional Data Scientist. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of data at the firm.

Your future role within QRT

This team is integral to the firm’s success. As such, your responsibilities will include:

• Collaborating with the trading desk to design and implement their data pipelines
• Collaborating with data engineers to onboard relevant datasets for the desk within QRT
• Implementing data transformations to produce high added-value datasets used for investment decisions
• Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats
• Managing the end-to-end process of onboarding new datasets
• Proactively solving data related problems to minimise time to production
• Innovating and experimenting with novel data extraction methods to enhance the firm’s data onboarding toolkit

Your present skillset

• 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
• Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
• Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
• Demonstrable interest in financial markets and the application of data in its analysis and understanding
• Experience working with both traditional and alternative financial datasets
• Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
• Ability to work in a high-performance, high-velocity environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency.  

Your future role within QRT  

This team is integral to the firm’s success. As such, your responsibilities will include:  

• Sourcing, designing and onboarding new datasets according to trading desks’ priorities  
• Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems  
• Proactively solving data related problems in order to minimise time to production  
• Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production  

Your present skillset  

• 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
• Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
• Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
• Demonstratable interest in financial markets and the application of data in its analysis and understanding
• Experience working with both traditional and alternative financial datasets
• Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
• Ability to work in a high-performance, high-velocity environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of data at the firm.

Your future role within QRT

This team is integral to the firm’s success. As such, your responsibilities will include:

• Collaborating with the trading desk to design and implement their data pipelines
• Collaborating with data engineers to onboard relevant datasets for the desk within QRT
• Implementing data transformations to produce high added-value datasets used for investment decisions
• Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats
• Managing the end-to-end process of onboarding new datasets
• Proactively solving data related problems to minimise time to production
• Innovating and experimenting with novel data extraction methods to enhance the firm’s data onboarding toolkit

Your present skillset

• 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
• Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
• Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
• Demonstrable interest in financial markets and the application of data in its analysis and understanding
• Experience working with both traditional and alternative financial datasets
• Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
• Ability to work in a high-performance, high-velocity environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

We are seeking an experienced Golang Software Engineer for our Mobile team to be part of the development of end-to-end fraud detection solutions. This role combines backend software development with data analysis related to our mobile sdk. You will design and implement scalable, high-performance backend systems, ensuring smooth integration with other components. You'll take ownership of features from concept to final deployment, working closely with cross-functional teams to deliver reliable and robust solutions.

A key aspect of this role involves analyzing large datasets of traffic to uncover patterns and detect fraudulent activity. You will leverage engineering techniques to process and manage large traffic datasets efficiently, find new ways to detect fraud, and implement them in backend code.

Types of Projects and Impact:

• Collaborate with the Mobile Product team to improve fraud detection signals, including Android emulator detection, Frida detection, Mobile VPN detection, and more.
• Conduct deep dives into problematic features, researching and analyzing their behavior to understand root causes and identify potential solutions. Develop hypotheses, run experiments, analyze results, and translate findings into actionable engineering improvements.
• Build and enhance backend systems for real-time data processing.
• Foster a data-driven culture by sharing engineering best practices and collaborating on cross-functional projects.
• This role includes participation in a shared on-call rotation. The schedule will be communicated in advance, and we strive to balance coverage equitably while minimizing off-hours disruptions.

Required Skills:

• BS/MS in Computer Science, Data Science, or a related field, or equivalent work experience.
• 3+ years of experience in backend development
• Strong experience in GoLang.
• Strong experience in designing, developing, and maintaining scalable backend systems.
• Experience working with real-time data processing and APIs.
• Strong knowledge of SQL and experience with databases like DynamoDB, Redis, or Elasticsearch.
• Proficiency with general software engineering tools: Git, IDEs, shell scripting, CI/CD.
• Proficient in English for clear communication in a global, remote team.

Nice to Have:

• Practical experience with analytical storage systems like ClickHouse, Snowflake, BigQuery, Redshift, or Databricks.
• Experience with data transformation frameworks like dbt or other data pipeline tools.
• Experience with the Python data analytics stack (NumPy, Pandas, Jupyter, etc.).

Technologies You Will Work With:

• Backend development: Golang (preferred) or equivalent.
• Data analytics/processing: ClickHouse, dbt, Apache Superset.
• Infrastructure: AWS, DynamoDB, Redis, Elasticsearch.

Compensation Range

For US-based employees, the cash compensation range for this role is $133,000 – $153,000. We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency, we share salary ranges on all job postings. However, these ranges are specific to the hiring location and may differ within or outside the US.

About Inizio Ignite:

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Company Descriptor

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

Role Overview

The Data Delivery & Dashboards Executive role will report into the Dashboard Manager. The Data Delivery & Dashboards Executive will be a key member of the newly formed India-based Data Management & Delivery Hub, supporting quantitative healthcare market research projects across global markets. As a Dashboard Developer Executive, you build and maintain high impact dashboards and data visualizations that transform raw market research data into actionable insights. You’ll collaborate with researchers, analysts, and engineers to ensure data flows seamlessly from collections to visual storytelling. You will also support the team in delivering insightful, user-friendly dashboards through automated tools and off-the-shelf solutions. This is a fantastic opportunity to develop your skills in data management, quality assurance, and data visualisation, while working alongside an experienced team in a dynamic, global environment. Skill Set required

What you'll be doing

Brand Equity tracking support with our in-house platform:

• Maintain the pipeline for the project data process flow (this includes receival of data into in-hosue Tool, through the data processing stage into the storage mart, through the python utilities into required outputs)
• Maintain and update python utilities when required due to changes from the research team
• Manage and rectify when failures occur in the pipeline, liaising with both the data providers, research team and developers on the dashboard
• Manage the storage mart and data warehouse
• Support team with edits in-house platform

Data Quality Checks:
Assist in performing detailed quality control checks on large and complex datasets to ensure accuracy, completeness, and consistency.

Data Transformation & Standardisation:
Support the transformation and standardisation of data files to align with internal data structures, project needs, and client-specific formats.

Dashboard Support & Maintenance:
Assist in the creation, population, and maintenance of dashboards using off-the-shelf tools (e.g., Power BI, Tableau, or similar platforms), ensuring outputs are clear, accurate, and aligned with research objectives.

Data Delivery Management:
Help manage and organise the final delivery of data files and dashboards to internal teams and clients, ensuring timely and error-free execution.

Collaboration Across Teams:
Work closely with internal stakeholders including Development team, Data Processing, Scripting, Project Management and Research teams to ensure smooth handovers and integration of deliverables.

Documentation & Reporting:
Maintain clear documentation of processes, data transformation steps, and QC logs to support transparency, reproducibility, and audit-readiness.

Continuous Learning & Development:
Engage in training opportunities to build knowledge in healthcare data, market research workflows, dashboarding tools, and data handling best practices.

What you'll need

Your skills and experience:

Technical Expertise

• Atleast 5+ years expertise in languages like Python and SQL.
• Mastery in advanced Core Python (generators, decorators, OOP, async programming), architecture design.
• Proficient in libraries like Pandas - Joins, Melting, handling missing values, NumPy, TensorFlow etc.
• Proficient in SQL (PostgreSQL, MySQL).
• Understanding MVC/MVT, microservices, and system design principles.
• Experience in setup of data pipelines is highly desirable.
• Knowledge of high-performance framework (Django, FastAPI, Flask) is a plus.
• Cloud platform expertise (AWS, Azure, GCP), and building ETL/ELT pipelines.
• Experience in version control system.

Ideal candidate should be

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
• Ability to interpret tabulation specifications and apply them accurately.
• Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

Highlights:

Location: Serbia, Remote

Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

As a Product Analyst, you will be a versatile data expert at the heart of our product decisions. Your work will span the full analytical lifecycle—from building data marts and ETL processes to designing and analyzing A/B tests and delivering key insights to stakeholders. This is a role for a proactive analyst who is comfortable working across a wide range of tasks and is passionate about using data to find the truth and drive results.

What You’ll Do

• Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them.
• Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance.
• Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company.
• Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions.

Requirements

• 5+ years of professional experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Strong written English for clear documentation and communication.
• A proactive, detail-oriented mindset with a passion for solving complex problems.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

• Private medical insurance for the employee and their family
• 20 paid vacation days per year
• 15 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• Remote working

_{**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.}

Highlights:

Location: Portugal, Remote

Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We’re looking for a Product Analyst to join the Donor Portal (Donor Experience) team. The Donor Portal team owns the post-donation experience – everything that happens after a donor completes a donation. The team focuses on reducing churn and increasing subscription LTV by improving subscription management within the donor portal (pauses, amount changes, skipping charges, etc.), as well as enhancing donor communications via email.

What You’ll Do

• Run A/B tests
• Identify insights in data, conduct research, and help product teams uncover growth opportunities.
• Work with retention rate and subscription/supporter LTV metrics.
• Design and build data marts.
• Develop and maintain BI dashboards.
• Handle ad-hoc requests from product teams.

Requirements

• 5+ years of professional experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Strong written English for clear documentation and communication.
• A proactive, detail-oriented mindset with a passion for solving complex problems.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

• Private medical insurance for the employee and their family
• 22 paid vacation days per year
• Up to 14 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education.
• Gym or swimming pool.
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• Co-working.
• Remote working.
• €50 monthly allowance to cover internet and mobile phone expenses

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

Highlights:

Location: Poland, Remote

Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

As a Product Analyst, you will be a versatile data expert at the heart of our product decisions. Your work will span the full analytical lifecycle—from building data marts and ETL processes to designing and analyzing A/B tests and delivering key insights to stakeholders. This is a role for a proactive analyst who is comfortable working across a wide range of tasks and is passionate about using data to find the truth and drive results.

What You’ll Do

• Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them.
• Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance.
• Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company.
• Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions.

Requirements

• 5+ years of professional experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Strong written English for clear documentation and communication.
• A proactive, detail-oriented mindset with a passion for solving complex problems.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

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

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

Highlights:

Location: Poland, Remote

Language: Russian-speaking team; Strong English required (B2)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We’re looking for a Team Lead to join our Product Analytics team for the New Products direction. The New Products direction is our “internal incubator,” responsible for the company’s future revenue. We don’t just improve existing products — we launch entirely new business verticals from scratch.

Currently, we have three key focus areas:
    1.    P2P (Peer-to-Peer): Building tools for mass fundraising events and marathons (a market with $8M+ ARR potential).
    2.    Tap-to-Pay & Kiosks: Enabling offline donations via smartphones and physical terminals.
    3.    Major Donors: Leveraging AI to identify and engage high-value donors.

At the moment, the team consists of one analyst who has already started working on the P2P product.

What You’ll Do

• Act as a right hand to product leads (PMs): help define success criteria for pilots and evaluate whether new products gain traction
• Build analytics from scratch: design data collection systems and ensure reliability monitoring from day one
• Evaluate the performance of new product launches
• Lead and grow the team: mentor team members, run 1:1s, and establish processes in a fast-growing function, as well as plan the roadmap and oversee execution and timelines

Requirements

• 5+ years of experience as a Product Analyst
• 2+ years of team management experience
• Strong knowledge of mathematical statistics and probability theory
• Proficiency in Python (NumPy, pandas, matplotlib, seaborn, scikit-learn)
• Advanced SQL skills
• Experience with BI tools (Tableau, Power BI, Metabase)

Our Tech Stack

• Python
• ClickHouse, MongoDB, PostgreSQL
• Tableau, Grafana
• Airflow
• Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

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

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

Highlights:

Location: Turkey, Remote

Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

As a Product Analyst, you will be a versatile data expert at the heart of our product decisions. Your work will span the full analytical lifecycle—from building data marts and ETL processes to designing and analyzing A/B tests and delivering key insights to stakeholders. This is a role for a proactive analyst who is comfortable working across a wide range of tasks and is passionate about using data to find the truth and drive results.

What You’ll Do

• Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them.
• Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance.
• Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company.
• Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions.

Requirements

• 5+ years of professional experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Strong written English for clear documentation and communication.
• A proactive, detail-oriented mindset with a passion for solving complex problems.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

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

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

Highlights:

Location: Portugal, Remote

Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

As a Product Analyst, you will be a versatile data expert at the heart of our product decisions. Your work will span the full analytical lifecycle—from building data marts and ETL processes to designing and analyzing A/B tests and delivering key insights to stakeholders. This is a role for a proactive analyst who is comfortable working across a wide range of tasks and is passionate about using data to find the truth and drive results.

What You’ll Do

• Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them.
• Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance.
• Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company.
• Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions.

Requirements

• 5+ years of professional experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Strong written English for clear documentation and communication.
• A proactive, detail-oriented mindset with a passion for solving complex problems.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

• Private medical insurance for the employee and their family
• 22 paid vacation days per year
• Up to 14 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education.
• Gym or swimming pool.
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• Co-working.
• Remote working.
• €50 monthly allowance to cover internet and mobile phone expenses

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

Highlights:

Location: Armenia, Remote

Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

As a Product Analyst, you will be a versatile data expert at the heart of our product decisions. Your work will span the full analytical lifecycle—from building data marts and ETL processes to designing and analyzing A/B tests and delivering key insights to stakeholders. This is a role for a proactive analyst who is comfortable working across a wide range of tasks and is passionate about using data to find the truth and drive results.

What You’ll Do

• Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them.
• Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance.
• Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company.
• Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions.

Requirements

• 5+ years of professional experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Strong written English for clear documentation and communication.
• A proactive, detail-oriented mindset with a passion for solving complex problems.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

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

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

Highlights:

Location: Serbia, Remote

Language: Russian-speaking team; Strong English required (B2)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We’re looking for a Team Lead to join our Product Analytics team for the New Products direction. The New Products direction is our “internal incubator,” responsible for the company’s future revenue. We don’t just improve existing products — we launch entirely new business verticals from scratch.

Currently, we have three key focus areas:
    1.    P2P (Peer-to-Peer): Building tools for mass fundraising events and marathons (a market with $8M+ ARR potential).
    2.    Tap-to-Pay & Kiosks: Enabling offline donations via smartphones and physical terminals.
    3.    Major Donors: Leveraging AI to identify and engage high-value donors.

At the moment, the team consists of one analyst who has already started working on the P2P product.

What You’ll Do

• Act as a right hand to product leads (PMs): help define success criteria for pilots and evaluate whether new products gain traction
• Build analytics from scratch: design data collection systems and ensure reliability monitoring from day one
• Evaluate the performance of new product launches
• Lead and grow the team: mentor team members, run 1:1s, and establish processes in a fast-growing function, as well as plan the roadmap and oversee execution and timelines

Requirements

• 5+ years of experience as a Product Analyst
• 2+ years of team management experience
• Strong knowledge of mathematical statistics and probability theory
• Proficiency in Python (NumPy, pandas, matplotlib, seaborn, scikit-learn)
• Advanced SQL skills
• Experience with BI tools (Tableau, Power BI, Metabase)

Our Tech Stack

• Python
• ClickHouse, MongoDB, PostgreSQL
• Tableau, Grafana
• Airflow
• Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

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

_{**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.}

Highlights

Location: Serbia, Remote

Language: Russian-speaking team; English proficiency required (C1)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

As a Product Analyst, you will be a critical partner to our business teams, working closely with Sales, Marketing, Customer Success (CSM), and Partnerships. Your core mission is to transform raw data into actionable insights that measure effectiveness, drive strategy, and inform the product roadmap. While our development team is Russian-speaking, our main audience and business stakeholders are in the U.S., making your fluency in English essential for success.

What You’ll Do

• Uncover critical insights by forming hypotheses and validating them with data.
• Identify global and local trends in user behavior to inform product decisions.
• Analyze and interpret customer metrics to measure impact and value.
• Design and evaluate A/B tests with prospective customers to optimize performance.
• Handle ad-hoc analytical requests from stakeholders across the organization.

Requirements

• 4+ years of experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Excellent command of written and spoken English (C1 level or higher).
• A proactive, curious mindset with strong analytical and communication skills.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana, Metabase
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

• Private medical insurance for the employee and their family
• 20 paid vacation days per year
• 15 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• Remote working

_{**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.}

Highlights:

Location: Poland, Remote

Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We’re looking for a Product Analyst to join the Donor Portal (Donor Experience) team. The Donor Portal team owns the post-donation experience – everything that happens after a donor completes a donation. The team focuses on reducing churn and increasing subscription LTV by improving subscription management within the donor portal (pauses, amount changes, skipping charges, etc.), as well as enhancing donor communications via email.

What You’ll Do

• Run A/B tests
• Identify insights in data, conduct research, and help product teams uncover growth opportunities.
• Work with retention rate and subscription/supporter LTV metrics.
• Design and build data marts.
• Develop and maintain BI dashboards.
• Handle ad-hoc requests from product teams.

Requirements

• 5+ years of professional experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Strong written English for clear documentation and communication.
• A proactive, detail-oriented mindset with a passion for solving complex problems.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

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

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

Highlights

Location: Spain, Remote

Language: Russian-speaking team; English proficiency required (C1)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

As a Product Analyst, you will be a critical partner to our business teams, working closely with Sales, Marketing, Customer Success (CSM), and Partnerships. Your core mission is to transform raw data into actionable insights that measure effectiveness, drive strategy, and inform the product roadmap. While our development team is Russian-speaking, our main audience and business stakeholders are in the U.S., making your fluency in English essential for success.

What You’ll Do

• Uncover critical insights by forming hypotheses and validating them with data.
• Identify global and local trends in user behavior to inform product decisions.
• Analyze and interpret customer metrics to measure impact and value.
• Design and evaluate A/B tests with prospective customers to optimize performance.
• Handle ad-hoc analytical requests from stakeholders across the organization.

Requirements

• 4+ years of experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Excellent command of written and spoken English (C1 level or higher).
• A proactive, curious mindset with strong analytical and communication skills.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana, Metabase
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

• Private medical insurance for the employee and their family
• 23 paid vacation days per year
• 11 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• Remote working

_{**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.}

Highlights:

Location: Georgia, Remote

Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

As a Product Analyst, you will be a versatile data expert at the heart of our product decisions. Your work will span the full analytical lifecycle—from building data marts and ETL processes to designing and analyzing A/B tests and delivering key insights to stakeholders. This is a role for a proactive analyst who is comfortable working across a wide range of tasks and is passionate about using data to find the truth and drive results.

What You’ll Do

• Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them.
• Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance.
• Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company.
• Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions.

Requirements

• 5+ years of professional experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Strong written English for clear documentation and communication.
• A proactive, detail-oriented mindset with a passion for solving complex problems.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

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

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

Highlights:

Location: Spain, Remote

Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We’re looking for a Product Analyst to join the Donor Portal (Donor Experience) team. The Donor Portal team owns the post-donation experience – everything that happens after a donor completes a donation. The team focuses on reducing churn and increasing subscription LTV by improving subscription management within the donor portal (pauses, amount changes, skipping charges, etc.), as well as enhancing donor communications via email.

What You’ll Do

• Run A/B tests
• Identify insights in data, conduct research, and help product teams uncover growth opportunities.
• Work with retention rate and subscription/supporter LTV metrics.
• Design and build data marts.
• Develop and maintain BI dashboards.
• Handle ad-hoc requests from product teams.

Requirements

• 5+ years of professional experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Strong written English for clear documentation and communication.
• A proactive, detail-oriented mindset with a passion for solving complex problems.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

• Private medical insurance for the employee and their family
• 23 paid vacation days per year
• 11 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• Remote working

_{**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.}

Highlights:

Location: Serbia, Remote

Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We’re looking for a Product Analyst to join the Donor Portal (Donor Experience) team. The Donor Portal team owns the post-donation experience – everything that happens after a donor completes a donation. The team focuses on reducing churn and increasing subscription LTV by improving subscription management within the donor portal (pauses, amount changes, skipping charges, etc.), as well as enhancing donor communications via email.

What You’ll Do

• Run A/B tests
• Identify insights in data, conduct research, and help product teams uncover growth opportunities.
• Work with retention rate and subscription/supporter LTV metrics.
• Design and build data marts.
• Develop and maintain BI dashboards.
• Handle ad-hoc requests from product teams.

Requirements

• 5+ years of professional experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Strong written English for clear documentation and communication.
• A proactive, detail-oriented mindset with a passion for solving complex problems.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

• Private medical insurance for the employee and their family
• 20 paid vacation days per year
• 15 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• Co-working
• Remote working

_{**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.}

Highlights

Location: Georgia, Remote

Language: Russian-speaking team; English proficiency required (C1)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

As a Product Analyst, you will be a critical partner to our business teams, working closely with Sales, Marketing, Customer Success (CSM), and Partnerships. Your core mission is to transform raw data into actionable insights that measure effectiveness, drive strategy, and inform the product roadmap. While our development team is Russian-speaking, our main audience and business stakeholders are in the U.S., making your fluency in English essential for success.

What You’ll Do

• Uncover critical insights by forming hypotheses and validating them with data.
• Identify global and local trends in user behavior to inform product decisions.
• Analyze and interpret customer metrics to measure impact and value.
• Design and evaluate A/B tests with prospective customers to optimize performance.
• Handle ad-hoc analytical requests from stakeholders across the organization.

Requirements

• 4+ years of experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Excellent command of written and spoken English (C1 level or higher).
• A proactive, curious mindset with strong analytical and communication skills.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana, Metabase
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

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

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

Highlights:

Location: Cyprus, Remote

Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

As a Product Analyst, you will be a versatile data expert at the heart of our product decisions. Your work will span the full analytical lifecycle—from building data marts and ETL processes to designing and analyzing A/B tests and delivering key insights to stakeholders. This is a role for a proactive analyst who is comfortable working across a wide range of tasks and is passionate about using data to find the truth and drive results.

What You’ll Do

• Uncover Actionable Insights: Identify key trends in user behavior, develop data-backed product hypotheses, and work with teams to test them.
• Own A/B Testing: Design, launch, and analyze A/B tests to validate ideas and optimize product performance.
• Build a Data Foundation: Create and maintain data marts and BI reports to visualize product and operational metrics for the entire company.
• Perform Deep-Dive Analyses: Handle ad-hoc analytical requests to answer critical business and product questions.

Requirements

• 5+ years of professional experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Strong written English for clear documentation and communication.
• A proactive, detail-oriented mindset with a passion for solving complex problems.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

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

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

Highlights:

Location: Turkey, Remote

Language: Russian-speaking team; Strong English required (B2)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We’re looking for a Team Lead to join our Product Analytics team for the New Products direction. The New Products direction is our “internal incubator,” responsible for the company’s future revenue. We don’t just improve existing products — we launch entirely new business verticals from scratch.

Currently, we have three key focus areas:
    1.    P2P (Peer-to-Peer): Building tools for mass fundraising events and marathons (a market with $8M+ ARR potential).
    2.    Tap-to-Pay & Kiosks: Enabling offline donations via smartphones and physical terminals.
    3.    Major Donors: Leveraging AI to identify and engage high-value donors.

At the moment, the team consists of one analyst who has already started working on the P2P product.

What You’ll Do

• Act as a right hand to product leads (PMs): help define success criteria for pilots and evaluate whether new products gain traction
• Build analytics from scratch: design data collection systems and ensure reliability monitoring from day one
• Evaluate the performance of new product launches
• Lead and grow the team: mentor team members, run 1:1s, and establish processes in a fast-growing function, as well as plan the roadmap and oversee execution and timelines

Requirements

• 5+ years of experience as a Product Analyst
• 2+ years of team management experience
• Strong knowledge of mathematical statistics and probability theory
• Proficiency in Python (NumPy, pandas, matplotlib, seaborn, scikit-learn)
• Advanced SQL skills
• Experience with BI tools (Tableau, Power BI, Metabase)

Our Tech Stack

• Python
• ClickHouse, MongoDB, PostgreSQL
• Tableau, Grafana
• Airflow
• Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

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

Benefits

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

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