Top Tech Jobs & Startup Jobs

Report and write business news for prestigious titles, interview executives, cover conferences, and collaborate with editors to grow the audience.

As a Paralegal / Legal Assistant at Minnesota Cannabis Services, you will support the Legal team with contract management, compliance documentation, legal research, and corporate governance in a highly regulated industry.

Collaborate with the product team to architect and develop user-focused web applications, utilizing React and other frontend technologies to ensure performance and reusability.

The Integration Engineer will integrate and test autonomy software and algorithms in robotic platforms, focusing on software-in-the-loop and hardware-in-the-loop testing.

Lead and scale the insurance operations function, build the operating model for product development and launches, coordinate with underwriters and partners, implement QA and documentation standards, reduce operational risk, and create repeatable processes for disciplined, scalable execution across Product, Partnerships, and Underwriting.

The Insights Manager leads qualitative and quantitative research projects to uncover consumer insights, informs strategy, and presents actionable recommendations. Responsibilities include designing research approaches, managing projects, analyzing data, and monitoring trends to enhance client understanding and decision-making.

Design and build user-facing components for an AI-native cloud platform, ensuring scalability and performance, mentoring engineers, and optimizing web interfaces.

The Strategic Account Manager will drive revenue growth across strategic accounts in the Americas, focusing on upselling and cross-selling opportunities, managing relationships, and ensuring client success.

The Director of Internal Audit leads SOX program management, ensures effective financial reporting controls, and liaises with external auditors, while providing assurance to senior management and the Board.

As a Senior Machine Learning Engineer, you will build and productionize models, develop scalable ML infrastructure, and collaborate with teams to optimize model performance while mentoring others.