Top Tech Jobs & Startup Jobs in Turkey

Own strategy and execution for Toloka’s B2B products, including product roadmaps, lifecycle management, acquisition-to-payment funnels, metrics, and optimization. Lead cross-functional engineering, design, analytics, marketing, and operations teams to build and launch products, incorporate customer feedback, and drive measurable user and revenue outcomes across enterprise AI ecosystems.

Own the roadmap, reliability, scalability, and compliance of internal billing tools. Lead discovery with Finance, Support, Sales, and partners; translate billing, regulatory, and operational needs into product requirements. Drive automation for account setup, quota management, reconciliation, and billing corrections. Partner with Engineering, Finance, Legal, and Operations on RBAC/IAM, APIs, data pipelines, incident runbooks, SLAs, and OKRs that improve billing accuracy, auditability, onboarding, and operational efficiency.

Manage procurement, negotiation, purchasing, supplier research, contract processes, and commercial relationships across multiple business functions. Develop procurement strategies, objectives, and market knowledge while managing costs, stakeholder relationships, and supplier performance. Analyze spending to identify savings, cost avoidance, and value opportunities. The role requires a relevant bachelor’s degree, 3–4 years of procurement experience, strong English communication, and Microsoft Office proficiency.

Supports Account Managers and client teams by organizing delegated work, tracking actions and deadlines, coordinating stakeholders, preparing updates, communicating in English and German, and reviewing AI-assisted outputs. The role owns repeatable account workflows, escalates risks, improves processes, and helps encode effective methods into reusable AI-enabled systems. Native or near-native German, strong English, sound client judgment, attention to detail, prioritization, and hands-on AI experience are required.

Design and maintain ETL/ELT pipelines and data warehouse architecture, analyze and visualize data with SQL/Python/R and BI tools, build machine learning models and A/B tests, and partner with engineering and business teams to deliver data-driven insights for fintech use cases (fraud detection, segmentation, forecasting).

Process and confirm customer sales orders in the ERP, follow up on backorders, coordinate logistics and export arrangements, manage order-related costs and non-conformances, ensure QA/SHE compliance, and support process improvements within the Customer Experience team.

Leads engineering delivery across multiple enterprise engagements, advising senior client executives and driving digital transformation, application modernization, cloud adoption, architecture governance, and software engineering excellence. Translates business objectives into technology strategies and execution plans, manages delivery risks and dependencies, supports presales, and mentors senior engineering leaders. Builds distributed, high-performing teams and establishes best practices across architecture, DevOps, AI governance, ERP, and emerging technologies.

Build and scale MLOps infrastructure that moves machine learning models from development to production. Responsibilities include model serving, automated training and deployment, CI/CD, monitoring, drift detection, rollback mechanisms, streaming feature pipelines, and agentic workflow integration. The role requires collaboration with data science, platform, and product teams to deliver reliable, observable, low-latency ML systems.

Leads supplier and business partner financial risk assessments, identifies distress and insolvency indicators, and manages crisis responses. Develops market intelligence frameworks, monitors macroeconomic and geopolitical factors, builds risk scenarios and mitigation plans, and advises senior leadership on strategic sourcing, business continuity, and restructuring decisions.

Lead a product area end-to-end: define roadmap, run discovery, set OKRs, prioritise from customer insights, manage dependencies, partner with engineering and design, and build a 12–18 month AI-first product vision to deliver measurable outcomes.