Software Engineering Director, Agentic Evaluations

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 , 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— ( P erformance + E ntrepreneurship + A uthenticity + K indness. 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

As a Software Engineering Director, Agentic Evaluations, your responsibilities will center around delivery of useful and credible evaluations of agents offered by software vendors. You’ll enhance the system that performs validation of agent performance, and lead the core team behind it. You will leverage “agent-first” ways of working, applying agentic engineering techniques to deliver your work to production.

Detailed Responsibilities:

Build and enhance agent evaluations that run against live agents [80%]:

Help scope out the feasibility and effort involved in evaluating an agent offered by a software vendor, identifying the most practical path to reaching a credible evaluation

Own the full stack of the core evaluation system, from admin & API surface to eval workflow dispatch

Design evaluation system primitives that generalize across software verticals, so onboarding a new category benefits from reuse

Distill the appropriate and repeatable processes in onboarding and maintaining integrations into repeatable AI skills or agents to increase evaluation velocity

Keep tabs on emerging frameworks and techniques for agent evaluation which offer improvements to evaluations, and provide industry-accepted means to distribute eval results

Collaborate with data science peers in their pursuit to develop rich and proprietary benchmarks

Lead a group of engineers and be a source of wider influence [20%]:

You will facilitate the growth and mentorship of a core team of engineers, and be a source of technical leadership and subject matter expertise in evals for them

You will also help socialize the use of evals in agent-oriented products built by the wider organization.

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.

10+ years of professional programming experience in backend or full-stack environments

2+ years of experience directly managing engineers

Expert-level proficiency in backend development using languages like Python, Java/Kotlin, Typescript/Javascript or Go; strong proficiency in associated backend frameworks like FastAPI or Node.js

Direct experience creating evaluations (evals) against a customer-facing agent, leveraging agent trajectory trace data and rubrics to measure an agent’s task completion rate, accuracy, correctness, or policy adherence

Direct experience using frontier models from OpenAI, Anthropic, or Google in LLM-as-a-judge applications

Regular use of coding agent harnesses like Claude Code, Codex, Opencode, or Pi as part of the daily development workflow

BS/BA degree in related field

What Can Help Your Application Stand Out:

Experience with agent tool use via direct integration or as mediated by MCP servers

Knowledge of STATE-Bench, tau2-bench or similar benchmark frameworks

Experience using Playwright, browser-use, Chrome DevTools MCP or others to drive user flows in the browser

Experience with durable execution frameworks & workflow solutions, like Temporal, DBOS, Cloudflare / Vercel Workflows, or similar; or experience with agent sandboxing using AWS E2B, Daytona, Cloudflare / Vercel Containers or similar

Our Commitment to Inclusivity and Diversity

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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.