Software Engineering Lead, Multimodal AI Products

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

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