Jobs at Aliz

Architects and implements data pipelines, platforms, and warehouses on Google Cloud. Provides technical consulting, training, presales support, and proof-of-concept delivery for clients. Leads and mentors data engineering teams, guides cloud adoption, manages stakeholders, supports agile practices, and owns end-to-end development lifecycles. Requires strong coding, GCP, BigQuery, Kubernetes, Airflow, dbt, and agentic AI experience, plus English and Hungarian communication skills.

Build and deploy AI agent solutions for enterprise clients as a forward-deployed, one-person engineering team. Responsibilities include identifying AI opportunities, designing end-to-end agentic workflows and LLM applications, integrating client systems, measuring business impact, deploying solutions beyond proof of concept, and training teams for handover. The role requires customer-facing communication, adaptability across domains and engagements, broad engineering experience, on-site client work, and travel outside Budapest.

Own product strategy and outcomes for BigQuery cost optimization. Translate strategy into quarterly priorities, conduct customer discovery, analyze usage and billing data, validate ideas through prototypes and pilots, and manage pricing, packaging, procurement, security reviews, GTM enablement, releases, adoption, expansion, and renewals. The role requires deep customer engagement, B2B SaaS business fluency, SQL and cloud economics expertise, and effective use of AI and agentic tools.

Senior BI Developer will migrate legacy enterprise reports to a governed Google Cloud platform. Responsibilities include report inventory and triage, semantic and metrics modeling, rebuilding reports in Looker or Qlik using BigQuery models, validating new outputs against legacy reports, enforcing KPI and data-protection controls, retiring old reports, documenting solutions, training users, and facilitating stakeholder workshops and recommendations.

Leads international IT project delivery for software and cloud solutions, particularly across the APAC region. Responsibilities include planning schedules, coordinating engineering and architecture teams, managing customer relationships, transitioning projects from sales to execution, improving delivery efficiency and profitability, mentoring colleagues, and ensuring team utilization. The role also supports account growth, predictable communication, and continuous solution improvement.

Own Rabbit’s international B2B marketing presence across the US and Europe. Plan and execute events, manage LinkedIn and Reddit strategy, develop executive thought leadership, build brand voice, and create content across social, video, and event channels. Lead partner marketing initiatives with Google and major brands, including joint webinars, campaigns, events, and content. This role requires end-to-end project ownership in a fast-moving startup environment.

Drive enterprise sales growth across Indonesia and APAC by acquiring customers, expanding accounts, managing complex cloud, data, and AI solution sales, and achieving quota. Build executive relationships, collaborate with Google Cloud account teams, lead negotiations, maintain CRM accuracy, forecast pipeline, and ensure smooth handoff to delivery and customer success.

Lead enterprise BI tooling evaluations, semantic-layer and reporting standards, self-service enablement, governance, operating models, and legacy BI migrations. Partner with data engineers, governance teams, and senior stakeholders to deliver trustworthy, compliant reporting on governed cloud data platforms. Facilitate decision workshops, produce recommendations, define KPI and access-control standards, and support report certification and lifecycle management.

Own and improve Rabbit’s SRE foundation across GCP, Terraform, CI/CD, observability, incident response, and deployment safety. Build automated validation, progressive rollouts, recovery mechanisms, SLOs, and AI-agent workflows that reduce operational effort while preserving reliability. Strengthen cloud infrastructure, networking, IAM, capacity management, and cost efficiency, while developing maintainable tooling in Go or Python and driving lasting improvements from production incidents.

Lead backend development of a scalable, enterprise-grade document management system using Java and Google Cloud. Responsibilities include designing and implementing cloud-based products, optimizing code and data structures, scaling distributed systems, troubleshooting production issues, refactoring for multi-cloud deployment, conducting code reviews, mentoring engineers, and guiding clients and technical teams. The role emphasizes AI-assisted development, disciplined verification, technical leadership, and collaboration across international teams.

Own the end-to-end pre-sales motion for a technical B2B software product. Lead tailored demos, technical discovery, qualification, objection handling, proof-of-concept scoping, conference presentations, and competitive positioning. Build demo environments and collateral, influence pipeline, collaborate with Product, and establish the company’s pre-sales foundation while engaging cloud, data platform, and FinOps buyers.

The Product Engineer at Rabbit will develop and optimize BigQuery features, ensure customer success, and oversee prototypes from concept to production.

Own enterprise customer relationships from proof of concept through conversion, renewal, and expansion. Lead technical evaluations, commercial processes, account growth, customer business reviews, issue triage, and renewal forecasting. Translate customer requirements into product priorities while partnering directly with Engineering and Product. This first dedicated Technical Account Manager will also develop the company’s post-sales playbook.

Own enterprise customer relationships from proof of concept through conversion, renewal, and expansion across European and North American accounts. Lead technical evaluations, commercial conversions, product prioritization, escalations, business reviews, forecasting, and upsell opportunities. Translate customer requirements for Engineering and Product, manage stakeholder alignment, and help establish the company’s first post-sales playbook.

Lead design and implementation of data platforms, pipelines, and warehouses on Google Cloud. Act as GCP technical consultant, trainer, and hands-on implementer. Provide technical leadership, mentor teams, engage in presales and proof-of-concept work, and manage end-to-end development lifecycle with stakeholder communication.

Lead design and implement end-to-end data platforms and pipelines on Google Cloud. Act as a GCP technical consultant, mentor engineers, participate in presales and proof-of-concepts, and guide clients through cloud data solutions and agile practices.

The Product Engineer will optimize BigQuery features for enterprise customers, prototype and pilot new products, enhance customer adoption, and resolve data issues in a collaborative, AI-first environment.

Design, implement, and manage GCP-based cloud infrastructure, migrate client environments to Google Cloud, automate deployments and scaling for containerized applications, maintain CI/CD and IaC, and keep solutions secure and up-to-date while mentoring junior staff.

Aliz seeks cloud enthusiasts for various roles in application development, data engineering, machine learning, and project management, embodying an innovative and adaptive work culture.

The role invites cloud professionals to apply spontaneously for positions in application development, data engineering, machine learning, and cloud infrastructure at Aliz. They seek problem solvers with an interest in cutting-edge technologies and dynamic project environments.