Top Tech Jobs & Startup Jobs in Ankara

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

Develop and enhance a large-scale computing platform focusing on distributed systems, performance tuning, and leveraging AI for automation.

Design and develop core backend components for a blockchain network using Rust, ensuring reliability and scalability in production-grade software.

The Support & Implementation Engineer will implement solutions, troubleshoot customer issues, ensure technical documentation accuracy, and collaborate with engineering teams.

Manage website content uploads, ensure content accuracy, and optimize web pages using CMS tools. Collaborate with teams to meet deadlines.

Lead product design for Kota Embed, owning design quality in a fast-moving environment. Design complex, data-constrained interfaces, build reusable design-system patterns, run rapid research and prototyping, collaborate across stakeholders and engineering, and produce working prototypes as spec to close the gap between design and implementation.

Own enterprise sales for CoLab in Europe, closing $200K–$2M+ deals. Drive strategy for large accounts, conduct discovery, build stakeholder relationships, negotiate contracts, manage pipeline, collaborate cross-functionally, and support expansions and renewals.

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.