Jobs at Datatonic

Own and improve security operations for cloud-first infrastructure: tune SIEM detections, improve DLP/CASB/EDR controls, run incident response, automate workflows, and maintain ISO 27001 compliance and evidence.

Serve as primary customer and partner contact for Datatonic Academy training: scope needs, manage logistics and trainers, gather feedback, support billing, and help improve processes while nurturing long-term relationships and collaborating with consulting and Google Cloud teams.

Manage and grow strategic partnerships across US & Canada for a Google Cloud-focused AI and data consultancy. Drive co-sell initiatives, GTM planning, partner enablement, joint marketing, event execution, partner onboarding, and pipeline generation while tracking partner performance and reporting impact.

Lead architecture and delivery of enterprise-scale data and AI projects on Google Cloud. Provide pre- and post-sales technical advice, design and migrate cloud solutions, mentor architects, collaborate with partners and sales, define best practices, and build next-generation ML products and scalable production-grade platforms.

Join Syntio as a Data Engineer to develop optimized data platforms, support data teams, implement governance, and enhance data pipeline performance.

Provide macOS-focused IT support for in-office (Zagreb) and remote UK/Europe colleagues: triage hardware, software, and networking issues; manage onboarding/offboarding, device provisioning, access management, asset lifecycle, vendor/warranty coordination, and AV/meeting room systems; create documentation and automation using Python/Bash; maintain SLAs using ticketing systems and core SaaS tools (Google Workspace, Okta, Jamf).

Lead DevOps pipeline design and implementation, advise clients on DevOps best practices, establish DevOps functions, and engage stakeholders to ensure seamless delivery across projects.

Drive strategic revenue and transform enterprise client relationships through long-term engagements, navigating challenges and delivering measurable business value.

Lead and implement end-to-end ML solutions: translate vague requirements into models, run ML experiments, apply GenAI, design ML architectures on Google Cloud, build production-grade code, handle MLOps, data engineering, optimization, deployment, and client-facing project leadership.

Senior Enterprise Account Executive responsible for building and closing large, outcome-led Data/AI/Cloud deals (£250k+), expanding and networking within Nordic enterprise accounts, conducting frequent on-site discovery, orchestrating internal technical resources, and moving accounts from tactical conversations to strategic, transformational programs while preparing for a leadership transition.

As a Machine Learning Engineer, you will develop ML models, optimize solutions, automate workflows, and design ML architecture while ensuring high-quality production software delivery.

The Account Executive will drive sales, develop strategies for business growth, manage accounts, and lead collaborations with clients and teams in the insurance sector.

The Senior Google Cloud Architect will design architectures for cloud projects, engage with customers for pre and post-sales support, and lead innovative AI and data solutions.

Lead pre-sales activities at Datatonic, shaping data and AI solutions, architecting transformations, and advising clients across various industries. Build trust with C-suite, manage RFPs, and represent the company in strategic engagements.

As a Senior Google Cloud Architect, you'll shape cloud architecture, engage with customers, lead projects, and promote technical excellence in AI and data solutions.

Lead and expand Datatonic's Google Cloud partnerships across the Nordics by developing JBPs and GTM plans, driving partner-sourced pipeline and co-sell motions, coordinating with sales and partner engineers, managing partner operations, QBRs, onboarding, and executing joint solution development to meet pipeline and sales targets.

As an Experienced Software Engineer, you'll design, develop, and deploy AI applications, ensure performance and scalability, and collaborate with cross-functional teams to deliver production-grade software solutions.

As a Senior Machine Learning Engineer, you will design and implement AI solutions, optimize ML models, and lead projects while engaging with clients to meet business needs.

The Senior Machine Learning Engineer will develop models, lead projects, optimize solutions, and ensure data flow, leveraging AI on Google Cloud.