Data Scientist, Givebutter
Product
$120-140k
+ Equity and bonus
More information about location
Non-profit fundraising platform
Be an early applicant
Non-profit fundraising platform
101-200 employees
Be an early applicant
$120-140k
+ Equity and bonus
More information about location
101-200 employees
Company mission
To power the next billion changemakers.
Role
Who you are
- Givebutter is hiring a talented and passionate Product Data Scientist to join our growing Data team
- Have experience turning product event data: clickstream, funnel events, user sessions, feature interactions, into behavioral insights that help product teams understand what users are actually doing, not just what they intend to do
- Have collaborated with Product and Revenue teams, understanding how each function uses data differently, and what it takes to build analyses that influence decisions rather than just document what happened
- Have designed, run, and communicated the results of A/B experiments in a practical context, including the harder work of navigating inconclusive results and helping stakeholders make confident decisions without clean answers
- Have demonstrated experience defining and governing product metrics: activation rates, retention curves, engagement signals, conversion funnels, and building the dashboards and reports that make those metrics something stakeholders trust and return to
- Have hands-on experience using AI tools to accelerate and enhance analytical work, and a genuine curiosity about what it looks like when agents do the analysis, not just assist it
- 4+ years of experience in Product Analytics, experimentation, and working with product event or clickstream data
- Advanced degree in Statistics, Computer Science, Mathematics or a related field, or relevant industry experience
- Expert querying and data manipulation skills using SQL and Python (or any coding language)
- Ability to proactively drive initiatives with minimal oversight. You understand when needs arise and creatively find solutions
- Demonstrated interest in implementing agentic AI in a data context. Actual experience preferred, but optional
- Hi potential new butterslice! A recent study from LinkedIn showed that most women apply to jobs only when they meet 100% of the requirements, whereas men will hit the apply button if they hit 60%. Givebutter is committed to building a diverse and inclusive team. So to the women and nonbinary folks out there feeling unsure if you're a perfect fit, we strongly encourage you to apply!
What the job involves
- We’re looking for someone to be a strong partner and collaborator, working with engineers, analysts, and Product stakeholders to deeply understand the most impactful business needs and build solutions that scale as we grow
- Product Data Modeling:
- Gain a deep understanding of the product team's business needs and data sources, partnering with stakeholders to understand what's needed in the short- and medium-term
- Working with our Analytics Engineering team, own the definition, logic, and documentation of the data model that supports product analytics needs, with a focus on quality, usability, and clear documentation in a fast-moving product environment
- Product & Revenue Analytics:
- Manage the inflow of data requests from product and revenue stakeholders, ensuring clear two-way communication on needs, expectations, and progress, and high-quality, timely delivery
- Drive the strategic product analytics roadmap as the business grows, identifying the analyses and capabilities that will matter most before they're explicitly requested
- User Behavior & Experimentation:
- Be a subject matter expert on how users move through the product, driving and developing the company's understanding of activation, engagement, and retention through behavioral analyses, funnel work, and product event data
- Design, run, and communicate the results of A/B experiments end to end, applying statistical rigor in a practical context and helping stakeholders make confident decisions, including when results are ambiguous
- Product Metrics Management:
- Own the definition, logic, and documentation of the product metrics that the business runs, ensuring consistency in how key measures are defined, calculated, and communicated across teams
- Partner with product stakeholders to evolve the metrics framework as the product grows, identifying where existing metrics are insufficient or misleading and driving alignment on what should replace them
- Agentic Analytics Support:
- Contribute domain expertise and evaluation rigor to our in-house agentic analytics framework, helping define what good outputs look like across our query, analytics, insights, and reporting agents
- Collaborate with Analytics Engineering on building eval suites for AI-generated analytical outputs, participate in agent improvement cycles, and help translate business intuition into the semantic and prompt layer that makes agents reliably useful
Application process
- Below is a high-level outline of our standard interview process
- Recruiter Screen: A 30-minute conversation to learn more about your background, walk through the role, and ensure mutual alignment on expectations, values, and logistics
- Hiring Manager Interview: A deeper dive into your relevant experience, skillset, and working style. This is your first opportunity to connect directly with the person who may be your future manager
- Assessment (technical or non-technical): This stage will vary based on the role. It could involve a live coding session, case study, or take-home project. Some roles may include two parts to this stage to evaluate both practical skills and problem-solving approaches
- Values Interview: A conversation with team members focused on how you align with our core values and leadership principles
- References: We connect with a few folks you’ve worked closely with to get a better picture of your working style and impact
- Offer: If all goes well, we’ll move to the offer stage!
- Please note, we will have an AI note-taking tool join most of our interviews
Our take
The rise of crowdfunding has helped democratize fundraising for for-profit companies, but the infrastructure for non-profits has lagged. Givebutter has set out to change this, supplying a feature-rich, easy to use fundraising platform for the "changemakers of today", which has been used to raise billions of dollars for good causes.
Crucially, unlike other crowdfunding platforms, 100% of the donation typically goes to the campaign, with Givebutter making its money entirely through tips and occasional but transparent transaction fees. In 2022, the company raised capital that has been put to work developing the product to be fit for all types of fundraising.
Having already seen impressive success in certain segments, these new development efforts will help expand Givebutter's reach. For example, it launched a CRM to help it reach more small, local nonprofits, and has released the industry's first donor-advised fund (DAF) donate button, through which donors can recommend a nonprofit for a donation in just three clicks. In 2026, Givebutter was listed on Fast Company's list of most innovative companies, unsurprisingly, given its pioneering take on the crowdfunding space.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Funding (1 round)
Jun 2022
$7m
SEED
Total funding: $7m
Company benefits
- Health Insurance: Enroll in Medical, Dental, and Vision insurance covered 100% for employees
- 401(k): We offer access to a retirement planning account for all employees, with a 3% company match
- Parental Leave: Receive 12 weeks paid parental leave for both primary and secondary caregivers
- Vacation and Holiday: Givebutter offers a Flexible PTO policy with uncapped Vacation days. Givebutter is closed for a whole week in the summer for an employee Wellness Week
- Mental Health Support: Access a free membership to Talkspace, which includes unlimited messaging and one free video per month
- Charitable giving - employees are encouraged to donate up to $50/month to any verified nonprofit they wish to support on Givebutter
- Home Office Stipend: Upgrade your home office with company-sponsored expenses including high-quality laptops, monitors, and modern technology
- Charitable Giving: Donate up to $50/month to any verified nonprofit you wish to support on Givebutter
- Professional Development: Grow through learning and development reimbursement opportunities
Leadership
Max Friedman
(Co-Founder & CEO)Co-founded Givebutter on graduating from George Washington University in Computer Science and Finance.
Liran Cohen
(Co-Founder & CTPO)Co-founded Givebutter on graduating from George Washington University with an MS in Computer Science.
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