Top Remote Jobs in Baltimore, MD

Own the design and implementation of native iOS and Android SDKs supporting mobile device intelligence and fraud detection. Investigate complex systems-level engineering problems, evaluate platform behavior and technical tradeoffs, collaborate with Product, Engineering, Data Science, Fraud Intelligence, and Sales, and establish SentiLink’s mobile engineering capabilities.

Lead technical integrations of Cedar's platform with client healthcare systems: discover requirements, map data formats, validate data/UAT, communicate technical security and authentication needs, manage complex projects, and represent customer needs to engineering and product teams.

Leads the Operations Strategy enablement roadmap and manages complex, cross-functional initiatives from business-case development through implementation, adoption, and measurable impact. Identifies scalable tools, technologies, automation, and operating practices across operational functions. Partners with Product, Technology, Analytics, Risk, Compliance, and Operations to define requirements, establish governance, manage dependencies, measure results, and provide recommendations to senior leadership.

Leads enterprise forecasting, financial planning, scenario modeling, performance reporting, and strategic decision support. Builds planning frameworks, governance, dashboards, and executive insights across financial and operational drivers. Partners with senior leaders across Finance, Product, Marketing, Operations, Technology, Treasury, Risk, and Strategy. Manages planning cycles, develops a high-performing team, improves analytics and processes, and strengthens risk awareness.

Own Sprout Social’s partner and platform integration ecosystem, developing scalable integration strategies, roadmaps, lifecycle processes, packaging, pricing, permissions, and licensing models. Partner with Engineering, Partnerships, GTM, and customers to prioritize investments, launch integrations, and balance immediate commercial needs with long-term platform scalability. The role requires technical fluency in integration architecture, strong commercial judgment, and ownership of measurable product outcomes.

Designs and maintains privacy controls and privacy-enhancing technologies across products and enterprise systems. Embeds privacy by design into the software development lifecycle, builds automation for consent and data subject rights, supports privacy impact assessments, and develops data protection solutions. Partners with Engineering, Product, Security, Legal, and Compliance to translate regulations into technical requirements. Also supports AI governance, privacy tooling, reusable standards, documentation, and engineering training.

Coordinate recruiting operations across technical and business hiring, including interview scheduling, candidate communications, travel logistics, feedback collection, and ATS data hygiene. The role aims to improve scheduling speed and accuracy through AI-native workflows, automation, templates, and process improvements while delivering a clear, responsive candidate experience.

Lead and scale Strategic and Enterprise sales for large accounts: own GTM, pipeline, bookings, and deal execution; coach and recruit AEs/managers; enforce MEDDPICC and Mutual Action Plan rigor; partner with RevOps, CS, Marketing, and Product; represent segment to CRO and execs.

Senior Software Engineer responsible for designing, developing, testing, and releasing scalable full-stack features for Huntress’s Core Platform. The role owns complex projects end to end across frontend, backend, databases, and infrastructure; promotes code quality through testing, reviews, and pairing; breaks down epics into milestones; contributes technical solutions; and mentors engineers. The position requires extensive Ruby on Rails and full-stack experience, plus familiarity with Linux infrastructure, databases, external APIs, Agile practices, and responsible AI-assisted development.

Leads the strategy, technical direction, and delivery of insurance data science across pricing, underwriting, cost modeling, demand modeling, and growth. Oversees predictive modeling standards, model lifecycle governance, engineering collaboration, regulatory alignment, and production deployment. Builds and develops a high-performing data science organization while partnering with actuarial, product, underwriting, pricing, and executive leadership to connect analytical work with profitability and business outcomes.