Top Remote Senior Level Jobs in Baltimore, MD

Lead end-to-end AI/ML initiatives to improve student retention, engagement, and enrollment. Architect and operate data pipelines, feature stores, and production ML systems; deploy, monitor, and automate models; run experimentation programing and measure business outcomes. Mentor team members and set technical standards across Product, Engineering, and CX.

The Senior Sales Development Representative will generate leads, qualify prospects, manage the pipeline, and mentor junior SDRs. They will engage with technical leaders and utilize their understanding of developer tools to nurture leads and support the sales team.

The Senior Sales Development Representative will generate and qualify leads, engage with prospective clients, and build sales pipeline by connecting with technical leaders. Responsibilities include personalized outreach, managing CRM, collaborating with teams, and mentoring junior SDRs.

The Director of Strategic Accounts will lead a team focused on revenue growth in the healthcare sector, mentoring and guiding account executives. Responsibilities include pipeline management, customer engagement, and maintaining accurate CRM data.

Lead and mentor a team building Twilio's next-generation low-latency, high-throughput media processing stack. Drive architecture and technical decisions, balance reliability with feature delivery, own performance and reliability targets, collaborate across product and platform teams, reduce technical debt, and establish engineering excellence in testing, code quality, and operations for global real-time media services.

The AI Engineer will initially function as a Full-Stack Engineer, progressing to integrate AI solutions into products, enhance efficiency, and shape AI application at Sharebite.

Lead global e-invoicing strategy, translate complex indirect tax and e-invoicing regulations into scalable product and technical requirements, define country-specific validation rules and schemas, prioritize market expansion, partner with Product and Engineering, and support cross-functional customer onboarding and deployments.

Own and drive core product features for large enterprise customers: onboarding, team/resource management, lifecycle automation, APIs at scale and IaC. Collaborate in triads with engineering and design, partner with Sales/Marketing/Customer Success, lead product discovery, advocate for users, prioritize with data, and shepherd features from prototype to GA while contributing to the product management community.

Lead platform product work across ingestion, querying, storage, data retrieval, and the internal design system. Partner with engineering, product, design, and go-to-market teams, prioritize scalable platform capabilities, drive product discovery to GA, and advocate for developer experience and customer outcomes in observability and tracing domains.

Act as the primary HR Business Partner for Area Directors and General Managers, translating business priorities into people strategies. Lead talent lifecycle activities, coach leaders, manage complex employee relations and union matters, drive organizational effectiveness, enable change, and use workforce data to inform HR solutions and compliance.

Lead strategic sales efforts for $500K+ enterprise deals, engaging with C-suite executives and shaping AI adoption in revenue organizations.

Lead and grow the AI/ML Engineering team, manage core AI/ML platform development, ensure production-grade service operational excellence, and develop product strategies.

Lead design, build, and operation of GenAI product features and a shared AI platform: RAG pipelines, LLM-driven personalization, conversational agents, agentic workflows, eval frameworks, and MLOps. Own end-to-end production lifecycle, observability, on-call, and integrations with marketing/BI systems. Collaborate with personalization teams and document architectural and evaluation outcomes.

Own and modernize iHerb's product catalog across backend, React frontend, and relational data. Build end-to-end features, use AI-driven SDLC tools, write automated tests, ensure observability, participate in on-call incident response, and contribute to shared engineering standards.

Lead and hands-on manage the Catalog engineering team, own sprint delivery and architecture, write and ship full‑stack production code using AI-assisted tooling, hire and grow engineers, and drive collaboration with product and design while shaping an AI-driven SDLC.