Job description

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 capterra.com, SoftwareAdvice softwareadvice.com, and GetApp getapp.com 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 company.g2.com and philanthropic work (like our G2 Gives company.g2.com program) because it encourages us all to be better people. ABOUT THE ROLE As a Senior Software Engineer, you will create new products and features end-to-end which directly contribute to G2’s key organizational goals. Your responsibilities will center around architecting the solution, delegating implementation to your agents across the full stack, and reviewing and validating what they produce with confidence in their performance. As a technologist, you will be a key voice in defining and refining product concepts and you’ll act as a hands-on, in-person technical partner to stakeholders and leadership. You will adopt industry-leading agentic engineering techniques and leverage “agent-first” ways of working to deliver products, reflecting the realities of today’s software development lifecycle. DETAILED RESPONSIBILITIES: Build AI and agent-first products and features [60%]: - Contribute across the full software stack to deliver user journeys to production, owning implementation quality from architecture to release - Design and build agents that apply prompts, context, tools, and model reasoning to fulfill user journeys, generate content, and automate processes - Apply sound software engineering and system design principles to produce solutions that are observable, maintainable, scalable, and production ready - Validate solutions against functional requirements using both traditional QA methods, model-based evals, and agent tracing to ensure quality is measurable and reproducible - Incorporate agentic software engineering techniques into the development workflow across the SDLC, from planning, design, implementation, testing, and maintenance Actively participate in product definition as a technologist [35%]: - Drive product definition with designers and PMs: ideate, explore, and prototype with stakeholders, then cut down possible options to arrive at deliverable, but well-rounded solutions - Wholly conceive and ship features & MVP iterations early in the product definition phase that directly advance high-visibility organizational goals - Strike the right balance between investment in UX quality and tending to practical business needs through the product development process. - Partner with other engineering stakeholders to identify what technology makes possible, and what makes implementing a given product or feature hard. Bring that perspective into project scoping and prioritization Be a source of influence for other engineers on the team [5%]: - Share knowledge, techniques, and agentic software engineering practices in async formats and dedicated venues, like technical discussions and team meetings - Champion the use of AI solutions for engineering and product tasks, accelerate product velocity and team’s execution 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. - 5-8 years of experience working as a Software Engineer, with proven experience building enterprise-scale applications. - Solid working proficiency in Typescript/Javascript or Python, and familiarity with modern web application frameworks like React, Next.js, or Rails. - Broad full-stack ownership; comfortable directing agents across both frontend and backend development. - Strong understanding of data schemas, databases, APIs, and AWS infrastructure, including how to structure data so it holds up at high volume and returns quickly under load; hands-on experience with performance testing, logging, and monitoring. Golang preferred but not required. - Hands-on experience building AI and agent-powered features and systems using frontier models from OpenAI, Anthropic, or Google. - Comfort working AI-first: delegating implementation to AI agents (e.g., Claude Code, Codex, Opencode, Pi), reviewing outcomes, and guiding architecture as part of the daily development workflow. - Understanding of the strengths and limitations of frontier models and open weight models - Experience with continuous delivery through feature flagging and trunk-based development WHAT CAN HELP YOUR APPLICATION STAND OUT: - Experience deploying or fine-tuning open-weight models for specific use cases - Hands-on experience with agent orchestration frameworks - Experience with distributed messaging or event-streaming systems (e.g., Kafka). 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 culture.g2.com. -- For job applicants in California, the United Kingdom, and the European Union, please review this applicant privacy notice legal.g2.com 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 legal.g2.com.

Requirements

Must-haves

About G2 - The Company
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
Build AI and agent-first products and features [60%]:
Contribute across the full software stack to deliver user journeys to production, owning implementation quality from architecture to release
Design and build agents that apply prompts, context, tools, and model reasoning to fulfill user journeys, generate content, and automate processes
Apply sound software engineering and system design principles to produce solutions that are observable, maintainable, scalable, and production ready
Validate solutions against functional requirements using both traditional QA methods, model-based evals, and agent tracing to ensure quality is measurable and reproducible
Incorporate agentic software engineering techniques into the development workflow across the SDLC, from planning, design, implementation, testing, and maintenance
Actively participate in product definition as a technologist [35%]:
Drive product definition with designers and PMs: ideate, explore, and prototype with stakeholders, then cut down possible options to arrive at deliverable, but well-rounded solutions
Wholly conceive and ship features & MVP iterations early in the product definition phase that directly advance high-visibility organizational goals
Strike the right balance between investment in UX quality and tending to practical business needs through the product development process.
Partner with other engineering stakeholders to identify what technology makes possible, and what makes implementing a given product or feature hard. Bring that perspective into project scoping and prioritization
Be a source of influence for other engineers on the team [5%]:
Share knowledge, techniques, and agentic software engineering practices in async formats and dedicated venues, like technical discussions and team meetings
Champion the use of AI solutions for engineering and product tasks, accelerate product velocity and team’s execution
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.
5-8 years of experience working as a Software Engineer, with proven experience building enterprise-scale applications.
Solid working proficiency in Typescript/Javascript or Python, and familiarity with modern web application frameworks like React, Next.js, or Rails.
Broad full-stack ownership; comfortable directing agents across both frontend and backend development.
Hands-on experience building AI and agent-powered features and systems using frontier models from OpenAI, Anthropic, or Google.
Comfort working AI-first: delegating implementation to AI agents (e.g., Claude Code, Codex, Opencode, Pi), reviewing outcomes, and guiding architecture as part of the daily development workflow.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aitypescriptjavascriptpythonreactnext.jsawsgolang

Platform: ashby
Effort: quick