Jobs at Conveo

Own Conveo’s end-to-end data stack, including BigQuery, dbt, Cube, and Metabase; establish trusted metrics, governance, access controls, and scalable analytics foundations. Partner with business and engineering leaders to deliver actionable insights, improve dashboards, and enable reliable AI-assisted analysis. As the first data leader, hire and develop the data team while laying the groundwork for future machine learning and data science capabilities.

Own and scale Conveo’s global People Operations infrastructure across the UK, Belgium, and US. Manage HRIS, payroll, EOR and PEO relationships; design employee lifecycle processes; run performance and compensation cycles; improve documentation and automation; and deliver trusted reporting on headcount, attrition, compensation, and cycle completion. The role partners closely with Finance, recruiting, L&D, managers, and leadership while building a scalable People operating system for a hypergrowth company.

Own end-to-end recruiting across engineering, product, go-to-market, and operations for a rapidly scaling AI company. Responsibilities include sourcing and closing candidates, building proactive talent pipelines, developing AI-enabled recruitment strategies, advising hiring managers, improving interview processes, tracking funnel health, maintaining ATS data, and creating scalable hiring playbooks.

Build and own internal full-stack tools and agentic apps from UX to infrastructure. Ship Slack/React interfaces, APIs, backend async pipelines, and AI-powered features using LLM APIs and prompt engineering. Embed with teams to translate user needs into production features, iterate quickly, and maintain systems on Vercel, AWS, Supabase, and BigQuery.

Lead end-to-end product development from customer problem to production. Own frontend architecture (React/TypeScript), backend APIs, PostgreSQL, async workflows, and cloud infrastructure (AWS/GCP). Build AI-driven features using LLM APIs and prompt engineering, join customer calls, scope product work, and ship polished features independently in a small, fast-paced team.

Own the full enterprise sales cycle: build pipeline, qualify leads, run consultative demos, negotiate and close complex multi-stakeholder deals, expand accounts, provide product feedback, and maintain CRM and forecasting to hit quota and drive repeatable plays.

Ship production features across the full stack for an AI-native research platform. Work with LLMs and prompt engineering, build React/TypeScript frontends and Node.js backends, use PostgreSQL and cloud infrastructure, engage with customers, and learn from senior engineers while owning meaningful product work.