Top Remote Jobs in Portland, ME

As Senior Technical Product Manager, lead and execute technology solutions to enhance merchandising operations, driving efficiency and scalability at Babylist.

The Data Center Engineer will manage physical servers and network hardware, ensuring their installation, maintenance, and troubleshooting, along with overseeing documentation and vendor coordination.

The Staff Software Engineer will design and implement solutions for the Websites product, collaborate across teams, and innovate on a scalable web platform for restaurants.

Manage full-cycle recruiting for Sales and Customer Success roles: build candidate pipelines, prioritize inbound applications, partner with hiring managers, use recruitment data to drive decisions, and ensure inclusive candidate experiences while meeting high-volume hiring goals.

Develop fullstack web applications, enhance platform performance, collaborate on high-impact opportunities, and ensure stable, scalable solutions. Engage in rapid iterations and be a committed team player.

Design, build, and maintain scalable dimensional data models, semantic layer, and production transformation pipelines. Collaborate with Data Engineering, Data Science, BI, DevOps, and Product to enable AI-ready data, ensure data quality and governance, support ML feature delivery, and coach analytics team members for robust, production-ready data products.

Lead technical design and architecture for analytics engineering: build and govern the semantic/metrics layer, optimize dbt and Snowflake for performance and AI use cases, mentor engineers, partner with Data Science and Engineering, drive data quality, CI/CD, observability, and deployment of third-party data and emerging tooling to support analytics, ML, and agent-based products.

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

Design, build, and optimize Snowflake-based data platform: develop ELT pipelines, data models, governance, security, performance tuning, cost optimization, CI/CD, and advanced Snowflake features. Collaborate with stakeholders, mentor engineers, and deliver scalable data solutions for analytics.

Provide legal counsel on data privacy matters, conduct privacy assessments, draft policies and training, advise on marketing and product initiatives, review and negotiate data protection and vendor agreements, monitor privacy law developments, and support the privacy program and vendor management.

The Director of ISV Partnerships will lead strategy and execution for MongoDB’s partner program, oversee a team, manage key relationships, and communicate with executive leadership to drive growth through ISV collaborations.

Own and maintain Wasabi's end-to-end revenue forecast and master model across products, regions, sales pods, and cohorts. Build what-if scenarios, reconcile ARR/bookings/billings/GAAP revenue, produce regular review packages, and lead variance walks. Partner with FP&A, Accounting, Sales Ops, BI, and Data Science; design quota structures; support annual planning; and use AI and ML-driven inputs to automate workflows and improve forecast accuracy.

Embed with strategic enterprise customers to architect and implement complex cloud and web infrastructure migrations. Provide technical leadership on application and network security using Cloudflare Workers and Terraform, act as liaison to product and engineering teams, drive AI/LLM-enabled solutions, and remain a long-term trusted advisor for SASE and network security initiatives.

As a Senior Software Engineer, you'll support projects from conception to completion, build and extend React applications, and contribute to Vetcove's platform development.

Support Senior Account Manager in managing large partner relationships and SMB accounts. Project-manage marketing campaign execution, generate and analyze campaign reporting, provide optimization recommendations, onboard and educate clients, collaborate with data scientists and internal stakeholders, and deliver business reviews to demonstrate value.