Top Remote Jobs in Ankara

An 8-month rotational program training Technical Sales Associates to build customer relationships, identify and manage sales opportunities, and develop revenue growth plans. Includes three rotations (Field Sales Office, Mass Market, Business Unit/Systems Engineering & Marketing) and a four-week international headquarter experience. Successful graduates join as Technical Sales Representatives supporting TI's sales and applications teams.

The role involves delivering features across the CRM platform for distributors, using AI tools, handling fullstack development tasks, and collaborating closely with teams and customers.

The Cloud Data Engineer is responsible for designing and optimizing data models, developing cloud data solutions using Snowflake, and collaborating with application development teams to implement data strategies.

Create high-performing motion video ads for Meta, TikTok, YouTube and other paid channels. Partner with performance and marketing teams to test and iterate creatives, apply brand guidelines across formats, and integrate AI tools to scale concepts and improve CTR, CPA, retention, and conversion.

Lead strategic engagements to accelerate adoption of Genesys AI and Experience Orchestration. Translate business goals into AI use cases, drive field execution, support deal strategy, run customer workshops, create proposals and pricing, capture customer insights, and partner cross-functionally to prioritize AI-led opportunities and pilots.

Design, implement, and productionize Databricks and ADF data pipelines; develop and version data models; manage Azure cloud data infrastructure; execute schema and data migrations; optimize ETL performance and complex data flows; support DevOps practices and collaborate on testing and deployment. Power BI experience is a plus.

Work with clients to design and deliver cloud-based insurance solutions (AWS/GCP), translate requirements into architectures, oversee deployments, select components, support implementations, and keep solutions aligned with product roadmaps and industry trends.

Lead Data, Analytics, AI, and GenAI presales activities for strategic enterprise opportunities. Facilitate discovery workshops, translate business needs into scalable architectures, lead RFP and RFI responses, and present solutions to executives. Design end-to-end AI and cloud architectures across Azure, GCP, Databricks, and open-source ecosystems. Advise on AI transformation use cases, roadmaps, governance, and implementation, while mentoring delivery teams and developing reusable frameworks, offerings, thought leadership, and customer success materials.

Develop and deploy production-ready generative AI applications using Python, LLMs, RAG, AWS Bedrock, and OpenAI APIs. Responsibilities include model customization, API integration, data preparation, performance tuning, production deployment, documentation, and cross-functional collaboration. The role focuses on applied engineering rather than research and requires experience integrating AI solutions into business applications.

Conduct takedown operations against phishing websites, malicious domains, IP addresses, fraudulent social media accounts, and other digital threats. Analyze threat artifacts, coordinate with registrars, hosting providers, clients, law enforcement, and internal teams, document evidence and outcomes, report effectiveness, improve workflows, and ensure legal and regulatory compliance.