Software Engineering, Lead – Generative AI (Image & Audio) in London

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.

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

Summary of Responsibilities:

• As a Software Engineering Lead, Multimodal AI Products, your responsibilities will center around our multimodal AI products & features which serve buyers & sellers in the software marketplace. You’ll lead the core team behind these products.
• The team will enhance G2’s content generation systems to take advantage of the advancements in multimodal agents & AI models’ image and audio capabilities, and help bolster quality.
• You will use agentic engineering techniques and leverage “agent-first” ways of working to deliver your products and features.

Please note, the Software Engineer Lead role is hybrid in London. Onsite in the London office 1-2 days a week.

Detailed Responsibilities:

• Build new products and features [80%]:
• Contribute across the full software stack to deliver agent-driven user journeys to production, owning implementation quality from architecture to release.
• Design and build features driven by frontier models, with prompting, context, tools, and model reasoning to generate visual and audio experiences.
• Apply software engineering and system design principles to produce solutions that are observable, maintainable, scalable, and production ready.
• Validate solutions against functional requirements using evals and tracing to ensure content and experience quality is measured and monitored through metrics measured in CI and production.
• Help drive product definition: ideate, explore, and prototype with stakeholders, then cut down possible options to arrive at deliverable, but well-rounded solutions.
• Help conceive and ship features & MVP iterations early in the product definition phase that directly advance high-visibility organizational goals.
• Partner with product owners to identify what technology makes possible, and what makes implementing a given product or feature hard. Bring that perspective into project scoping and prioritization.
• 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 on multimodal AI for them.

Minimum Qualifications:

• 10+ years of professional programming experience in backend and application environments.
• 2+ years of experience directly managing engineers.
• Expert-level proficiency in Python or Typescript/Javascript; strong working knowledge of modern backend & web application frameworks like FastAPI, Node, React, or Rails.
• Hands-on experience building AI and agent-powered features using frontier models from OpenAI, Google, and others beyond text generation use cases to include multimodal (image, audio) generation.
• Direct experience refining product requirements in collaboration with a product owner.
• Regular use of coding agent harnesses like Claude Code, Codex, Opencode, or Pi as part of the daily software development workflow.
• BS/BA degree in related field.
• Based in London or surrounding areas and able to work on-site 1-2 days a week in the London office.

What Can Help Your Application Stand Out:

• Direct experience building interactive realtime multimodal agents acting over long sessions & context windows.
• Direct experience applying multimodal (audio, image) AI in content production or generation workflows.
• Experience with dynamic video content generation fusing motion graphics and audio.

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.

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.