Jobs at Houseful

Own and grow a portfolio of high-value, complex B2B SaaS property accounts. Act as primary contact and trusted advisor, drive renewals and upsells, manage onboarding and training, surface product feedback to teams, and report on account health and KPIs to reduce churn and increase engagement.

Lead a team of data platform engineers, manage delivery and development of data solutions, and oversee the data infrastructure enhancements.

The Data Platform Engineer will scale and modernize the data lakehouse, build data products, write ETL processes, and support analytics across the business.

Design, build and deploy end-to-end ML pipelines for UK property transaction data. Own model lifecycle (evaluation, deployment, monitoring, retraining), establish MLOps standards, collaborate with product and engineering, ensure data quality for features, and drive ML-driven product opportunities.

Contract Business Analyst / Knowledge Architect to discover AI automation opportunities, map workflows, quantify manual effort, and design taxonomies and AI-ready knowledge bases. Work cross-functionally to convert findings into prioritized automation requirements, restructure documentation for RAG/LLM consumption, produce SOPs and playbooks, and track realised benefits to feed a steady automation delivery pipeline.

Contract AI Engineer to design, build and deploy LLM-driven automations and integrations across Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS. Implement RAG pipelines, vector DBs, event-triggered workflows, and API/webhook integrations using n8n/Make/Zapier and direct LLM APIs. Ensure secure, GDPR-compliant production operations with logging, monitoring, and clear handover documentation.

Develop and maintain backend services using TypeScript and Node.js, focusing on scalable event-driven architecture and modern microservices practices while collaborating with teams to solve complex business problems.

Lead and grow the analytics team as a player/manager, set priorities across functions, translate business questions into analytic direction, own high‑visibility projects end-to-end, perform hands‑on analysis in SQL/Databricks/ThoughtSpot, champion AI in analytics, and present recommendations to senior leadership.

Lead and build Alto's data science capability: define roadmap, develop and productionise predictive models (churn, propensity, forecasting), run experiments, create segmentation and scoring, surface insights via ThoughtSpot, collaborate with engineering and commercial teams, and hire/mentor a data science team.