Product Analytics Team Lead - Core Team

Fundraise UpArmenia - Remote

Remote Full-time

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Experience Level

Manager

Qualifications

We are looking for candidates with at least 7 years of experience in analytics, ideally within the tech or nonprofit sector. A strong background in product analytics, data modeling, and visualization is essential. The ability to work collaboratively in a multicultural team and mentor junior analysts is highly valued.

About the job

Join Our Team as a Product Analytics Team Lead!

Are you a data-driven leader with a passion for analytics? At Fundraise Up, we are seeking a Product Analytics Team Lead to spearhead our Core team. This is an exciting opportunity to shape the future of product analytics within our organization.

About Fundraise Up

Fundraise Up is a cutting-edge fundraising platform designed to make donating to nonprofits quick and easy. We pride ourselves on continuous innovation, enhancing page load speeds, increasing conversion rates, and accommodating a diverse array of payment methods. Our platform facilitates donations amounting to tens of millions of dollars monthly from around the globe.

Renowned nonprofit organizations such as UNICEF, the American Heart Association, and the Alzheimer’s Association utilize our platform for their online fundraising, contributing to our impressive 4.9 out of 5 rating on leading review sites.

About the Team

You will join a growing product development team of over 150 professionals, located across various countries including Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia, and Armenia. Our team thrives in a collaborative and dynamic environment, where every contribution matters. We emphasize open communication and regularly host engineering meetups to discuss technical topics and share insights.

Your Role

As the Product Analytics Team Lead, you will be the inaugural member of this team, tasked with defining its mission, establishing standards, and scaling the analytics function. The core analytics team serves as a platform for product analytics across the company, creating shared metrics, frameworks, and dashboards utilized by all product teams.

While the core analytics team communicates primarily in Russian, you will need to engage with business stakeholders based in the US, necessitating strong English communication skills (B2 level or higher).

Responsibilities

Lead the product analytics team: Define mission, priorities, and roadmap.
Build and scale the team: Participate in recruitment, mentor analysts, and manage workloads.
Conduct complex analyses: Tackle intricate analytical and research tasks.

About Fundraise Up

Fundraise Up is a revolutionary platform in the nonprofit sector, committed to enhancing the donation experience. We serve a diverse clientele, primarily in the US, Canada, UK, and Australia, and remain dedicated to improving our technology and services to better support charitable organizations.

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Full-time|Remote|Armenia - Remote

About Fundraise Up Fundraise Up builds a fundraising platform that helps nonprofits collect donations quickly and easily. The team focuses on reducing page load times, improving conversion rates, and supporting a wide range of payment options. Each month, the platform processes tens of millions of dollars in donations worldwide. Organizations like UNICEF, the American Heart Association, and the Alzheimer’s Association rely on Fundraise Up for their online fundraising. The company has earned a 4.9 out of 5 rating on major review sites. Most clients are based in the US, Canada, the UK, and Australia. Our Team and Culture The product development group includes over 150 team members working from countries such as Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia, and Armenia. Most collaboration happens in Russian, with a strong emphasis on open communication and knowledge sharing. Bi-weekly engineering meetups give everyone a chance to discuss technical challenges and share ideas. Role Overview: Senior Machine Learning Engineer - Finance This is a remote position based in Armenia. Proficiency in English at C1 level or above is required. The Senior Machine Learning Engineer will take full ownership of a client intelligence project, moving it from a successful proof-of-concept (originally built with an external consultant) to an in-house solution. The project aims to build a detailed, enriched database of potential global clients, identifying their product needs, industry segments, and revenue potential. A scoring model will be developed and integrated directly with the sales pipeline. Company executives are closely involved in managing this project, reflecting its strategic value. The role covers the entire workflow: data collection, enrichment, modeling, and production deployment. Key Responsibilities Build and maintain a market intelligence database by collecting and enriching data, optimizing data pipelines, and developing machine learning models for scoring and analysis. Design and manage scrapers to extract key signals from nonprofit websites and other relevant sources.

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