Jobs at clearer.io

Own a portfolio of eCommerce merchants, using customer data and AI tools to prioritize accounts, improve product adoption, reduce churn, and identify expansion opportunities. Conduct consultations, onboarding, recovery, renewal, upgrade, and cross-sell conversations while tracking customer outcomes, engagement, and commercial health.

Owns marketing data pipelines, identity resolution, funnel and attribution dashboards across GA4, PostHog, Shopify, and Stripe. The role monitors data quality, validates cross-system tracking, documents methodologies, manages Jira work, and communicates reliable insights and limitations to marketing, product, and leadership. Requires strong SQL, marketing analytics experience, and familiarity with B2B SaaS or e-commerce.

Drive new merchant acquisition and expansion revenue across North America by building an outbound and partner-sourced pipeline, running discovery, delivering product demos, closing new business, and expanding existing accounts. The role requires accurate forecasting, CRM hygiene, Shopify ecosystem expertise, consultative selling, and fluent use of AI tools to improve prospecting and customer engagement.

Designs, builds, deploys, and operates production AI/ML systems, including scalable ML pipelines, LLM applications, agentic workflows, evaluation frameworks, and inference optimization. The role leads technical delivery, improves AI-enabled engineering workflows, ensures responsible AI practices, collaborates with stakeholders, and mentors engineers. Key responsibilities span model training and serving, monitoring, drift detection, retraining, performance optimization, A/B testing, and production readiness.

Supports executive and board communications by preparing decks, running all-hands, managing communications calendars, drafting announcements, coordinating engagement initiatives, and summarizing survey feedback. The role requires discretion with confidential information, strong attention to detail, excellent English, and effective asynchronous collaboration across global time zones. It also uses AI tools for drafting, formatting, summarization, and productivity.

Own Clearer’s technical delivery pipeline from approved PRD to production across product, engineering, QA, and AI/ML teams. Manage delivery plans, dependencies, readiness gates, flow metrics, capacity planning, release calendars, and risk escalation. Build human-in-the-loop automation using AI agents, improve Jira workflows, connect PRDs to stories and tests, and reduce delivery bottlenecks while maintaining quality.

Lead multiple engineering teams and managers, establish technical strategy, own scalable system roadmaps, advance AI-native development practices, manage engineering budgets and resources, and ensure software quality, security, compliance, reliability, and performance. The role also includes hiring, coaching leaders, managing cross-team dependencies, and driving adoption of agentic and multi-agent workflows.

Own end-to-end hiring and day-to-day People support across EMEA and the US. Responsibilities include recruitment, candidate experience, onboarding, employee relations, manager coaching, UK employment-law compliance, HR data accuracy, and using ATS, analytics, AI, and self-service tools to improve People operations.

Own end-to-end product design from discovery and user flows through high-fidelity UI, prototyping, implementation, and developer handoff. Build and scale design systems, create visual assets, apply accessibility and user-centered design principles, and design trustworthy AI-powered experiences. Collaborate with product managers and engineers, use AI tools to accelerate workflows, identify UX improvements, mentor designers, and deliver polished work autonomously across SaaS, B2B, and eCommerce products.

Design, develop, and lead end-to-end delivery of scalable SaaS features across frontend and backend systems. Architect resilient solutions, address technical debt, troubleshoot production issues, mentor engineers, conduct code reviews, collaborate with product stakeholders, evaluate technologies, and contribute to cloud-native platform evolution.