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:

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 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
• Direct experience applying multimodal (audio, image) AI in content production or generation workflows
• 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
• Experience with dynamic video content generation fusing motion graphics and audio

Benefits:

• Company pension
• Cycle to work scheme
• Health & wellbeing programme
• Life insurance

Application question(s):

• Will you now or in the future require visa sponsorship to work in the UK?
• Are you able to work from our London office 1–2 days per week?
• Which of these have you shipped in a live production system? (Mention all that apply)?

1. Voice AI / text-to-speech or speech-to-text agents
2. Image generation (diffusion models, Gemini/OpenAI image models, etc.)
3. Video or motion-graphic generation

Work authorisation:

• United Kingdom (required)

Work Location: Hybrid remote in Leadenhall