Top Remote Senior Level Jobs in Baltimore, MD

Leads business development for Medable’s clinical trial technology platform, selling to C-suite, clinical development, operations, and outsourcing stakeholders at pharmaceutical and biotechnology companies. Manages a territory of major accounts, drives sales results, negotiates with prospects, exceeds targets, and builds customer relationships. Requires extensive business development experience, life sciences industry selling expertise, strong communication and stakeholder management skills, and CRM proficiency.

Drive new sales of digital banking and payments solutions to credit unions across the Western U.S. Responsibilities include prospecting, relationship development, full-cycle sales, executive presentations, contract negotiation, quota attainment, market analysis, CRM reporting, and coordination with solutions and implementation teams. The role requires a strong credit union executive network, deep industry knowledge, and travel as needed.

Design and deliver user-centric web and mobile experiences: wireframes, flows, high-fidelity mockups, and interactive prototypes. Build and maintain design systems, run UX research and usability testing, optimize for accessibility, responsiveness, and performance, and collaborate with product, engineering, and marketing on fintech investor flows.

Develops and coordinates finance training programs, curricula, communications, job aids, and support initiatives. Provides technical accounting and finance process guidance, identifies knowledge gaps, facilitates learning, supports Workday and related systems, manages documentation, and leads cross-functional projects to improve workflows, policy consistency, user adoption, and organizational effectiveness.

Own multi-channel demand generation and full-funnel campaign strategy across web, social, email, search, paid media, webinars, and events. Manage paid media budgets, ABM programs, campaign calendars, testing, conversion optimization, and KPI performance. Partner with content, product marketing, events, and sales teams to drive awareness, pipeline, revenue, lead conversion, and sales enablement. Evolve SEO, AEO, and GEO strategies to improve visibility across traditional and AI-driven search.

Generates new revenue and manages select existing mid-market accounts through quota-driven telecommunications and technology sales. Sells connectivity, voice, cloud, security, managed network, and related solutions; develops proposals, manages opportunities and forecasts in CRM, submits contracts, resolves customer issues, and coordinates with sales engineering and customer care to ensure timely product delivery.

Owns competitive intelligence for data and AI security markets, including competitor research, market analysis, pricing and positioning insights, competitive messaging, win/loss analysis, and AI-powered intelligence tools. Supports Sales, Marketing, Product, Pricing, executives, partners, and customers with actionable insights, enables stakeholders, and identifies competitive opportunities and threats.

Design, build, and operate production data pipelines and shared data foundations using SQL, Python, PySpark, Databricks, and cloud technologies. Develop data models, ingestion and transformation workflows, resilient processing, observability, data-quality controls, and secure customer-aware data flows. Collaborate with engineering and product teams, evaluate architecture and tooling, support analytics and application services, contribute to testing and documentation, and mentor other engineers.

Lead the architecture, development, operation, and evolution of PlayStation’s real-time analytics platform. Build scalable distributed data systems using streaming and OLAP technologies, integrate batch and streaming workloads, improve reliability and performance, and develop AI-powered engineering capabilities. The role provides technical leadership across teams, mentors engineers, drives architecture and standards, resolves production incidents, and participates in on-call support.

Define the vision, strategy, and roadmap for AI-powered products. Lead use-case evaluation, requirements, experimentation, development, deployment, adoption, and continuous improvement across Generative AI, LLM, RAG, and agentic solutions. Collaborate with engineering, data science, design, and business stakeholders; establish success metrics; manage AI risks; and communicate product value, progress, and strategy to leadership and clients.