Top Remote Jobs in Turkey

Conduct research across the full machine learning lifecycle, including ideation, model design, implementation, evaluation, training, inference optimization, and deployment. Develop novel machine learning methods and foundation models, establish evaluation protocols, scale training with GPUs or TPUs, and improve research engineering infrastructure for rapid experimentation.

Translates business needs into technical specifications, acceptance criteria, and system requirements. Collaborates with stakeholders and development teams, leads system configuration and data mapping, documents integrations and data flows, and supports post-release validation. The role requires SQL-based data analysis, familiarity with APIs and data architecture, and experience with analytics, marketing platforms, databases, warehouses, and streaming technologies.

Own the acquisition-to-purchase funnel for a mobile-first subscription business, including onboarding, activation, paywalls, pricing, packaging, and experimentation across iOS, Android, and web. Drive new subscriber revenue, conversion, lifetime value, renewal quality, and attendance through funnel analytics and rigorous testing. Collaborate with Marketing, Data, Engineering, and Product teams to improve user acquisition, activation, and monetization across markets.

Provide technical support for customer applications by debugging production issues, resolving bugs, advising on architecture and integrations, improving the platform, maintaining documentation, building support automations, and handling platform incidents and customer communications. The role requires strong TypeScript and React skills, web application fundamentals, systems thinking, clear writing, and prior customer-facing experience.

Own Cambly’s global CRM strategy across email, in-app, push, and messaging channels. Lead the CRM roadmap, platform and vendor relationships, audience segmentation, lifecycle journeys, deliverability, experimentation, analytics, and AI-driven automation. Coordinate cross-functional initiatives across marketing, product, engineering, data, creative, and regional teams while driving acquisition, engagement, retention, and profitability across international markets.

Lead the technical direction of Carbon Health’s platform, backend services, and infrastructure. Design scalable microservices, service communication, event-driven workflows, and resilient data systems on AWS. Establish Terraform, CI/CD, observability, security, and reliability practices; lead incident response and architectural decisions; and mentor engineers across distributed teams. The role is hands-on and focused on building secure, highly available healthcare technology foundations.

Own product and protocol security across Jito’s Solana-based products. Responsibilities include threat modeling, secure design and code reviews, deployment hardening, internal audits, onchain monitoring, bug bounty operations, remediation tracking, AI-assisted security testing, and key and asset risk management. The role requires production software engineering experience, strong application security expertise, security automation skills, and familiarity with Web3, crypto, or DeFi.

Develop and implement credit risk models, including PD, LGD, EAD, IFRS 9 ECL, Credit VaR, satellite, and stress-testing models. Support model validation, credit risk advisory, and AI credit risk applications for banking and financial institution clients. Collaborate with project managers and specialized consulting teams while applying statistical computing, data mining, Python or R coding, and strong analytical and communication skills.

Own the full sales cycle for mid-market customers, from self-sourced outbound prospecting through discovery, product demonstrations, negotiation, and closing. Build multi-stakeholder consensus, develop business cases, manage security and procurement reviews, sell web app and API use cases, maintain accurate CRM data, and partner with growth, product, customer success, and PLG teams to expand adoption of HeyGen’s AI video platform.

Lead platform engineering across infrastructure, CI/CD, testing, developer tooling, observability, and secure software delivery. Build internal platforms, golden paths, and shared tooling that improve developer and AI-agent productivity. Establish engineering standards, integrate security controls into pipelines, shape repositories for coding agents, and measure impact through DORA metrics and engineering feedback.