Top Remote Jobs

Supports software engineering teams by designing, coding, debugging, testing, and troubleshooting applications and components. The intern contributes to architecture discussions, researches emerging technologies, supports version control and deployment, and collaborates with senior developers and mentors. Projects may involve artificial intelligence, cloud technologies, data science, scripting, forensics, signals processing, or vulnerability research.

Develop and deploy Microsoft Copilot Studio agents and Power Platform solutions for government business processes. Responsibilities include configuration, integration, troubleshooting, testing, documentation, deployment support, requirements refinement, stakeholder consultation, production support, and technical knowledge transfer. The role also involves designing governed knowledge experiences, configuring Dataverse and Power Apps, supporting security and accessibility requirements, and collaborating with government stakeholders and delivery teams.

Summer internship involving hands-on projects across actuarial processes, reporting, accounting, claims handling, underwriting, and IT. Interns receive mentorship, professional development, networking opportunities, and exposure to multiple departments while contributing to meaningful business challenges. The program runs from May through August 2027, with opportunities for interns to return during academic breaks.

Own Marketplace advertising campaigns from inventory booking through launch, delivery, pacing, QA, and post-campaign review. Build campaigns in the internal CMS and Braze, create collection pages from design specifications, configure A/B tests, monitor budgets and performance, coordinate seasonal timelines across cross-functional teams, maintain documentation, and improve campaign tooling. The role requires strong operations, communication, prioritization, and attention to detail in a fast-paced environment.

Own and scale product operations by developing product analytics, dashboards, planning processes, request management, customer feedback systems, roadmap communications, and cross-functional workflows. Partner with Product, Engineering, Sales, Marketing, Customer Success, and Support to improve visibility, alignment, prioritization, and execution. Use SQL, business intelligence tools, and product analytics platforms to generate actionable insights and support executive decision-making.

Own end-to-end product experiences for a data-intensive, AI-native fintech OS: convert complex financial logic and APIs into intuitive flows, design dashboards and workflows, build and maintain a scalable Figma design system aligned with React components, prototype with real data, and collaborate closely with engineers to ensure usable, accurate UX.

Leads Semrush’s global Enterprise Customer Success organization, owning time-to-value, product adoption, customer health, retention, renewal readiness, executive engagement, and expansion partnership. Builds a consistent global operating model, strengthens cross-functional handoffs, improves value realization, develops managers and CSM talent, and partners with Sales, Product, Support, Professional Services, RevOps, and Adobe field teams to drive measurable enterprise customer outcomes.

Supports business intelligence reporting and data needs using Power BI, SQL Server, SSAS, DAX, T-SQL, ETL processes, and JD Edwards data. Prepares reports, dashboards, extracts, and analytics; maintains existing BI solutions; handles support tickets; troubleshoots routine data and ERP issues; validates and translates ERP data; and escalates complex architecture, integration, security, and performance issues.

Own Blueland’s enterprise systems, NetSuite roadmap, business process improvements, implementations, integrations, IT operations, vendor relationships, access management, and employee technology support. This hands-on leadership role partners with Finance, Operations, Data & Analytics, and external providers to establish scalable systems governance, improve automation and data quality, manage projects, and build the company’s technology foundation.

Build, evaluate, deploy, and monitor identity-resolution and record-matching models using large, noisy datasets. Design labeling and measurement strategies where no definitive answer key exists, use AI-assisted labeling, manage model retraining and lineage, review data quality, and communicate results and tradeoffs to product, engineering, and sales stakeholders. Mentor teammates and ensure responsible handling of personal data, opt-outs, retention, and lineage requirements.