Top Remote Jobs in Baltimore, MD

IP Counsel will manage intellectual property risk through freedom-to-operate and invalidity analyses, advise on licensing and design-around strategies, support technology and research transactions, assist with patent prosecution, manage disputes and outside counsel, and develop the company’s IP program. The role partners with scientific, clinical, regulatory, commercial, and executive stakeholders and provides practical legal guidance supporting diagnostics and life sciences innovation.

Own and manage client relationships, make architectural decisions, run discovery and stakeholder interviews, deliver software or automations, and contribute intellectual property back to the practice.

Operate, administer, and optimize SentinelOne across secure environments, including endpoint agents, policies, fleet health, SIEM log ingestion, correlation, dashboards, alerting, detection tuning, threat hunting, incident response, integrations, upgrades, governance, reporting, and client engagement. The engineer will also mentor junior staff and align operations with NIST SP 800-53 and Zero Trust principles.

Leads commercial banking product risk management across Commercial Card, AP Automation, and Merchant Services. Partners with Product, Business Development, and risk teams to assess product changes, strengthen controls, address regulatory requirements, maintain risk policies, develop reporting, and present insights to senior leadership. The role also drives continuous improvement, automation and AI adoption, executive stakeholder influence, and risk framework awareness across the Commercial Bank.

Manage litigated auto insurance claims from investigation through settlement or closure. Evaluate liability, damages, coverage, legal expenses, and policy language; negotiate with opposing counsel; oversee defense counsel, experts, adjusters, and other vendors; attend mediations, arbitrations, hearings, depositions, and trials; maintain claim files and provide reporting. The role also supports litigation strategy, compliance, coverage correspondence, and process improvements with product and engineering teams.

Own the MixMode platform’s inbound and outbound integration ecosystem, including connectors, APIs, data formats, and integrations with SIEM, SOAR, ticketing, and data lake tools. Define and prioritize the roadmap, lead discovery, write requirements, coordinate Engineering and Data Science delivery, measure adoption and reliability, and support go-to-market activities. The role requires strong enterprise product management, technical integration experience, customer engagement, and the ability to operate effectively in a fast-moving startup.

Provides administrative support to the People & Culture team, assisting with volunteer recruitment, application tracking, onboarding, orientations, interviews, records, internal communications, feedback collection, and team development initiatives. The role helps organize training and culture resources, supports volunteer engagement, and handles sensitive information confidentially. A minimum commitment of 10 volunteer hours per week is required.

Develop marketing measurement strategies, dashboards, data pipelines, attribution analyses, and media mix models. Partner with clients and internal teams to translate business questions into KPIs and actionable recommendations. Build automated data tools, QA processes, and reporting solutions using BI platforms, Python or R, SQL, and marketing data sources. Evaluate AI-assisted tools and support responsible adoption while managing multiple client projects.

Full-cycle, quota-carrying AE owning territory end-to-end: self-source pipeline, run discovery, build ROI business cases, partner on demos, and close $30K-$100K+ deals to hit ~ $1M quota. Maintain Salesforce, move fast on ~45-day cycles, and travel ~40%.

Build and maintain dbt SQL models, data pipelines, curated datasets, reports, and dashboards supporting state partners, customers, Finance, Operations, and executives. Own external and internal Metabase environments, support the data warehouse, and establish consistent metric definitions across technical and non-technical teams. The role also requires analytics support, stakeholder communication, and experience with Airflow, Python, and Git-based workflows.