Top Tech Jobs & Startup Jobs

Support full-cycle technical recruiting by sourcing candidates, conducting outreach, screening resumes, coordinating interviews, maintaining ATS and talent-pool data, and assisting with employer branding. The intern will use AI tools for market research and sourcing, experiment with outreach messaging, and contribute ideas to improve hiring processes while learning from an experienced international recruitment team.

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.