Top Remote Jobs

Onboard clients, build long-term relationships, communicate Bravos Research’s market views and portfolio strategy, and connect investors with relevant research offerings. The role partners closely with the research team, requires clear communication of complex investment ideas, and represents the company professionally while supporting client engagement and service adoption.

Volunteer TikTok Content Creator will design, film, edit, and publish engaging TikTok videos aligned with organizational goals. Responsibilities include trend-driven content creation, community growth, managing multiple projects to deadlines, and tracking performance metrics with guidance from the Marketing and Communications Board Member.

Manage and grow social media presence by posting provided content, engaging with followers, monitoring activity, and supporting promotion of events and initiatives. Remote volunteer role, ~3–5 hours/week.

Lead ANYbotics’ North American sales strategy, target, and organization across the US and Canada. Hire, coach, and develop the sales team while winning strategic industrial customers and expanding pilot deployments into multi-site, fleet, and enterprise agreements. Own forecasting, pipeline development, account planning, negotiations, and commercial execution. Partner with solution architecture, business value consulting, customer success, and product teams to drive adoption across industrial technology markets.

Supports quarterly and annual SEC reporting, financial statement disclosures, tie-outs, accounting workpapers, technical accounting research, and month-end and quarter-end close activities. Performs SOX internal controls, reconciliations, journal entries, and analytical procedures. Coordinates with internal and external auditors, supports equity accounting and impairment assessments, and partners with cross-functional teams to improve reporting processes and controls.

Perform general accounting activities, including ledger maintenance and reconciliation, transaction recording and analysis, financial reporting, statutory account preparation, budgeting and variance analysis. Assist with accounting project documentation while ensuring accuracy, completeness, compliance with accounting standards, group policies, and statutory requirements.

Manage and grow existing B2B SaaS customers in the real estate technology market through cross-selling and upselling. Build customer relationships, identify opportunities, negotiate contracts, coordinate proposals with internal teams, maintain Salesforce pipelines and forecasts, and achieve sales targets. The role requires software sales experience, strong communication, prospecting ability, and a proven record of exceeding targets.

Provide Tier 2/3 technical support by diagnosing hardware, software, operating system, and networking issues. Troubleshoot Windows, macOS, Linux, TCP/IP, VPN, and DNS problems; document resolutions in ticketing systems; communicate technical concepts clearly; identify support trends; and recommend workflow improvements to enhance AI training data quality.

Analyzes computer systems and business processes, gathers and validates stakeholder requirements, models workflows using BPMN or UML, and uses SQL for data analysis and troubleshooting. The role supports process optimization, technical issue resolution, virtual collaboration, and validation of AI training data and scenarios for customer projects.

Design and scale a feature flagging and A/B testing platform, including high-throughput event ingestion, warehouse-native analytics, real-time feature flag delivery, multi-database SQL support, and distributed systems infrastructure. The role involves full-stack development, architecture, performance optimization, reliability engineering, and technical product influence within a remote startup team.

Develop and document enterprise-grade SaaS platform functionality while improving quality and performance. Responsibilities include full-stack development, functional and unit testing, defect triage, code reviews, API and process documentation, operational support in regulated environments, and collaboration within Agile and DevOps teams. The role requires expertise in C#, ASP.NET Core, T-SQL, Entity Framework Core, web technologies, software design, debugging, distributed architectures, and high-performance APIs.

Own the technical aspects of enterprise airline deals from qualification through deployment and expansion. Design integration and cloud architectures, lead demos and proofs of concept, respond to RFPs and security questionnaires, review technical contracts, and ensure customer commitments align with engineering capabilities. Build reusable technical assets, support adoption, and communicate customer requirements to product and engineering teams.

Design, build, and automate scalable, reliable Commerce platform solutions for Microsoft and Azure. Diagnose and mitigate service issues, use telemetry to improve operations, develop automation and scripts, collaborate cross-functionally, and uphold security and compliance.

Work on end-to-end AI performance for LLMs: benchmark and optimize inference on GPUs and Microsoft silicon, build tooling for performance insights and model porting, implement and test components in AI/DNN frameworks, and collaborate with internal and external partners to reduce hardware footprint and accelerate deployments.

Owns product vision, strategy, roadmap, and outcomes for onboarding AI capabilities into Microsoft’s platform. Leads intake, packaging, launch, distribution, lifecycle management, reusable platform primitives, standardized contracts, automation, and self-service experiences. Partners with engineering, TPM, compliance, operations, and product teams to establish standards, manage dependencies, and improve onboarding through measurable metrics such as availability time, throughput, reuse, launch success, and reduced manual work.

Develop machine learning, AI, statistical, and predictive models using Snowflake and other data sources. Perform data extraction, cleansing, feature engineering, experimentation, visualization, and quality analysis. Partner with business and technical teams to deliver data products, conversational analytics, and actionable recommendations. Lead discovery sessions, communicate insights to nontechnical audiences, mentor analysts, and support enterprise data science projects.