Top Tech Jobs & Startup Jobs in Ann Arbor, MI

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

As an AI Software Engineer, you will develop Generative AI solutions, manage full-cycle development, implement MLOps pipelines, and ensure compliance with AI standards.

The Marketing Specialist will enhance GoFasti's brand presence through marketing strategies, manage content creation and social media, oversee executive branding, optimize marketing funnels, and leverage AI for innovation across platforms.

As a Mid-Market Account Executive at Ethena, you'll manage the end-to-end sales process, build customer relationships, and exceed sales quotas while using Salesforce and sales automation tools.

The Business Applications Manager will oversee the financial tech stack, focusing on NetSuite administration, internal controls, and process improvements while managing projects and cross-functional communication.

The Product Designer will lead the design process, contribute to product management, and collaborate with cross-functional teams to shape product strategy.

The Senior Contractor Recruiter will partner with the Talent Acquisition team to oversee full-cycle recruiting for B2B roles, focusing on Sales, Partnerships, Customer Success, and Marketing. Responsibilities include building talent pipelines, engaging candidates, and mentoring hiring managers to optimize recruitment strategies.

Own onboarding and adoption for PE-backed customers, improve FP&A setups using Aleph, build trusted partnerships, monitor usage to drive adoption, and surface customer feedback to product and engineering.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

Design and lead the development of cloud-native Generative AI platforms and solutions, ensuring scalability, security, and integration with enterprise applications.

This role involves leading SOC audits, guiding customers through the audit process, collaborating with AI for evidence validation, and generating precise audit reports. The focus is on transforming audits into strategic advantages for clients.

Lead the end-to-end machine learning lifecycle for AI products, managing data pipelines and model development to optimize performance and accuracy in production.