Top Tech Jobs & Startup Jobs in Providence, RI

The DevRel will create technical content, engage with the AI community, provide product feedback, and support workshops to drive developer adoption.

The role involves designing and scaling people operations, improving recruitment processes, maintaining high talent density, developing performance systems, and fostering a positive culture for an AI initiative focused on alleviating poverty in low-income countries.

The Sr. Solutions Engineer will drive sales execution, lead onboarding process for enterprise clients, and develop a GTM strategy while leveraging technical fluency and enterprise selling skills.

As a DevOps Engineer at Quokka, you'll automate and manage systems in Azure, enhance application pipelines, collaborate with engineering teams, and implement CI/CD best practices.

Lead and grow Revance's digital engineering capability across Salesforce and modern headless web stacks. Hands-on manager who debugs production issues, enforces code quality and standards, manages vendor partnerships, hires and develops engineers, drives technical debt remediation, and owns platform reliability and cross-pod engineering consistency.

Lead and manage a team developing the Aerospike Cloud Platform, focusing on architecture, execution, and fostering a high-performance engineering culture.

As a Senior Backend Engineer, you will design and deliver complex systems, ensuring reliability, security, and performance while mentoring junior engineers and collaborating across teams.

The Senior Product Manager will lead product strategy, work cross-functionally to develop and implement digital products, and ensure a user-centered experience for opioid use disorder treatment.

The Enterprise Architect will define and implement a cloud-ready architecture integrating 22+ products, ensuring data interoperability, and leading modernization efforts across teams.

Lead and scale a production-focused data science practice: define engineering standards, build reusable Python frameworks, drive end-to-end model development and monitoring, collaborate with Data Engineering/MLOps/analytics and business partners, mentor team members, and establish measurement, documentation, and prioritization disciplines to ensure models deliver business impact across Claims, Underwriting, Risk, and Distribution.