About G2 - The Company

G2 is the world's largest and most trusted software marketplace. When you join G2, you’re joining the industry’s leading team that helps businesses reach their peak potential by powering decisions and strategies with trusted insights from real software users.

Now, we have joined forces with Capterra, SoftwareAdvice, and GetApp to create the largest source of online data and software insights to fuel intelligent buying in the age of AI. With 200M+ combined annual visitors and 6M verified reviews, we are now the centralized place to enable software buyers to make better and faster decisions with confidence.

And we are just getting started! We are setting out to transform the global B2B software industry and become the most trusted data foundation for buyers and sellers of software for the age of AI.

Does that sound exciting to you? Come join us as we try to reach our next PEAK!

About G2 - Our People

At G2, everything we are and what we do is grounded in our PEAK values— (Performance + Entrepreneurship + Authenticity + Kindness. Working at G2 means you are part of a value-driven, growing global community that climbs PEAKs together. We cheer for each other’s successes, learn from our mistakes, and support and lean on one another during challenging times. With ambition and entrepreneurial spirit we push each other to take on challenging work, which will help us all to grow and learn.

You will be part of a global, diverse team of smart, dedicated, and kind individuals - each with unique talents, aspirations, and life experiences. At the heart of our community and culture are our people-led ERGs, which celebrate and highlight the diverse identities of our global team. As an organization, we are intentional about our DEI and philanthropic work (like our G2 Gives program) because it encourages us all to be better people.

About The Role

The Product Data Science team is G2's centralized analytics and data science function, embedded within the Product org to support Product Leadership and the teams building our buyer experience and reviews platform. In this role, you'll partner closely with product stakeholders to develop data-driven strategies that improve the product and deliver measurable outcomes. You'll also drive self-service initiatives, giving end users direct access to insights through dashboards and MCP-powered tooling. Day-to-day, you'll work across a modern data stack including Looker, Snowflake, Amplitude, Python, and R, applying experimentation frameworks and data storytelling techniques to turn complex analysis into clear, actionable recommendations.

Responsibilities:

As a member of the Product Data Science team, your responsibilities will include a variety of business intelligence, data analysis and ad-hoc queries, such as -

• Partner with product leaders and PMs to set and drive OKR goals for your domain, owning the core metrics and the data-led initiatives that move them

• Lead end-to-end implementation of analytics projects for your domain, from scoping and instrumentation through delivery and adoption

• Design and build analytics products that generate actionable insights for both internal stakeholders and external customers

• Build automation workflows, AI agents, and MCP-powered tooling that enable teams across the organization to self-serve data

• Mentor analysts on the team and raise the bar on agentic workflows and analytics product development

• Define and improve data quality, documentation, and governance standards to ensure the data layer is accurate, trusted, and AI-ready

• Lead exploratory and ad-hoc analyses for product and leadership partners, synthesizing complex data into clear, decision-ready recommendations

• Build and maintain BI infrastructure in Looker and Amplitude, including dashboards, explores, and self-service reporting layers

• Partner with data science, AI engineering, AI research, and product to define data requirements for experimentation

• Act as a data thought partner to product teams, proactively surfacing insights, flagging risks, and shaping strategy through a data lens

Minimum Qualifications:

We realize applying for jobs can feel daunting at times. Even if you don’t check all the boxes in the job description, we encourage you to apply anyway.

• 4-6 years in product analytics, including direct experience defining and owning core product metrics end to end

• Strong proficiency in SQL

• Experience with at least one BI tool (Looker, Tableau, Power BI, Sigma, etc.)

• Experience working with Python and/or R for analysis and automation in a production environment

• Hands-on experience building with LLM tooling, AI agents, or agentic data workflows

• Experience mentoring analysts or guiding others’ analytical work

• Strong written and verbal communication skills, with the ability to translate complex analysis into clear recommendations for non-technical stakeholders

• Self-motivated and collaborative, with a track record of owning projects end to end

• Experience with A/B testing or experimentation frameworks

What Can Help Your Application Stand Out:

• Experience contributing to data governance initiatives a plus

Our Commitment to Inclusivity and Diversity

At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status. Learn more about our commitments here.

--

For job applicants in California, the United Kingdom, and the European Union, please review this applicant privacy notice before applying to this job.

How We Use AI Technology in Our Hiring Process
G2 incorporates AI-powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements. While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment.

Your Choice Matters: If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice. Choosing to opt out will not disadvantage your application in any way—we will ensure your materials receive a thorough manual review by our hiring team.
For additional details about how we handle your information throughout the application process, please review G2's Applicant Privacy Notice.