Top Tech Jobs & Startup Jobs in Bucharest

Supports enterprise pre- and post-sales deal operations by managing requests, coordinating Sales, Legal, Finance, and Operations stakeholders, preparing documentation, maintaining Salesforce records, and ensuring timely approvals and execution. The role also identifies process improvements, manages competing priorities, and contributes to team best practices and knowledge sharing.

Leads Dow’s Digital Operations technology strategy, identifying and prioritizing intelligent automation opportunities, translating business needs into scalable digital solutions, and overseeing implementation across sites and functions. Partners with operations, technology, data, cybersecurity, and business leaders to improve reliability, performance, adoption, and value realization. Provides strategic guidance to senior leadership while mentoring employees and promoting responsible, safe, and inclusive technology adoption.

Implement, configure, test, and deploy Workday HCM solutions for multiple clients. Lead requirements gathering, consulting, project delivery, process improvements, troubleshooting, and post-production support. Manage project scope, quality, timelines, and competing priorities while mentoring consultants and maintaining client satisfaction. Contribute to knowledge sharing and advise clients on Workday best practices across Recruiting, Talent, Performance, and related modules.

Own end-to-end global customer implementations from kickoff through go-live and handover. Build project plans, establish governance, coordinate multiple countries and workstreams, manage risks, dependencies, RAID logs, milestones, and escalations, and lead client status meetings. Coordinate internal teams and client-owned actions, ensure go-live readiness, maintain project documentation, and support continuous process improvement. The role requires strong stakeholder management, communication, organization, and experience delivering complex multi-country implementations.

Lead and grow a backend engineering team operating with AI-assisted development. Own delivery quality and predictability, hiring, performance management, technical direction, and team development. Partner closely with Product, engage directly with freight customers, and help establish effective AI engineering practices, agent guardrails, review standards, and autonomous workflows. Remain hands-on approximately one day per week while improving engineering processes and outcomes across a distributed, remote-first organization.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Leads full-cycle recruiting and talent acquisition strategy in Romania. Partners with hiring managers to define needs, develop sourcing plans, conduct screening interviews, manage candidate communications, coordinate applicant tracking systems, and oversee pre-employment checks. Supports employer branding, recruiting analytics, offers, and onboarding transitions while maintaining recruitment systems and ensuring a strong candidate experience.

Build and own the architecture for Dune’s curated data lifecycle, including dependency-aware orchestration, backfills, schema evolution, retries, recovery, data quality, and alerting. The role combines backend software engineering with large-scale data systems work across Go, Kotlin, Rust, Python, and SQL. Responsibilities include designing ingestion and curation contracts, making architecture decisions, solving ambiguous problems, and leading work that other engineers can execute.

Provide technical customer support for Ashby by diagnosing integration and API issues, troubleshooting via logs and scripting, collaborating with engineering on escalations, creating documentation, and driving product improvements from customer feedback.

Lead the company’s Physical AI research and engineering function as a hands-on technical leader. Define research priorities, design and train Transformer-based models, establish rigorous offline and real-world evaluations, integrate systems with physical robots, and analyze failures across data, models, hardware, and environments. Build a focused team, guide technical architecture and experiments, translate customer needs into requirements, and deliver measurable improvements through deployed models, benchmarks, evaluation systems, or data products.