Member of Product Staff, Engineer (London)

Metaview AI Limited

Job Overview

Location

London

Job Type

Full-time

Full Job Description

📋 Description

• Build and ship end-to-end recruiting agents powered by AI that function as intuitive coworkers, automating toil and augmenting human hiring teams at companies like Brex, Affirm, Deel, ElevenLabs, and Airtable.
• Design and develop new product experiences across the entire hiring workflow, ensuring seamless integration of AI-driven features that feel useful, transparent, and naturally embedded in user workflows.
• Transform unstructured conversational signals from interviews and interactions into structured actions, insights, and automated decisions that improve hiring speed and precision.
• Own product areas from problem definition through rollout, including identifying key pain points, defining solutions, and driving implementation with cross-functional collaboration.
• Improve the quality, speed, and reliability of both user-facing interfaces and agent-facing systems that power the AI recruiting platform.
• Work across the full stack—frontend, backend, and AI systems—where decisions in one layer meaningfully impact the other, adapting quickly to shifting priorities and technical needs.
• Contribute to shaping how Metaview’s AI products behave in real-world customer workflows, ensuring they deliver tangible value in high-stakes, trust-sensitive hiring contexts.
• Drive improvements that make the product faster, clearer, and more valuable by combining technical strength with strong product judgment and user empathy.
• Operate in a fast-moving, in-person team in London with minimal process; ship daily, including on Fridays, with no reliance on lengthy roadmaps, tickets, or design-doc theater.
• Collaborate closely with product, design, and go-to-market teams to solve problems that span multiple domains, prioritizing real progress over motion.
• Maintain high engineering standards while keeping processes light, feedback loops short, and iteration speed extremely high—currently shipping 8x more than a year ago with the same small team.
• Participate in setting and raising the engineering bar across craft, execution, and product sense, contributing to a culture where ideas win on merit, not ceremony.
• Build products used in consequential moments where accuracy, fairness, and reliability are critical to user trust and organizational outcomes.
• Work in a startup environment where ownership, ambiguity, and rapid iteration are core to success, helping define the shape of a category-defining AI product.

🎯 Requirements

• Have shipped product in fast-moving software environments
• Are comfortable working across the stack or moving outside their default lane when needed
• Care deeply about users and can translate messy problems into clear product decisions
• Combine technical strength with product sense and good judgment
• Like ownership, ambiguity, and close collaboration across functions
• Want to help build a category-defining product while the shape of the company is still being formed

🏖️ Benefits

• Pay in the top 10% of the market—salary and meaningful equity
• Equity option grants that are genuinely competitive, with simple cash-and-equity structure
• Visa sponsorship and immigration support handled start to finish
• Unlimited time off—empowered to take as much time as needed
• Market refreshers twice a year to ensure compensation stays aligned with market benchmarks
• Promotions and raises tied to real changes in scope and responsibility, reviewed every six months

Skills & Technologies

Senior

Onsite

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Metaview AI Limited

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About Metaview AI Limited

Metaview AI Limited provides an AI-driven platform that automatically records, transcribes, and summarizes job interviews and recruiting conversations. The system integrates with applicant-tracking and video-conferencing tools to capture structured data, generate concise notes, and surface actionable insights for hiring teams. Headquartered in London and founded in 2018, the company serves recruitment agencies and enterprise talent organizations seeking to reduce administrative overhead, improve interview consistency, and make evidence-based hiring decisions.

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