Top Remote Jobs in Birmingham, AL

Lead engineering team to develop AIPerf, an open-source benchmarking tool for LLM inference performance, while overseeing technical direction and mentoring engineers.

Own and scale client-facing data transformation pipelines for financial and operational data. Build reliable analytical models, data integrity tests, and integrations across diverse sources. Partner with Customer Success and Engineering to troubleshoot data issues, optimize critical pipelines, establish engineering standards, and improve developer experience. Use dbt, SQL, Python, BigQuery, and AI-enabled workflows to deliver performant, well-documented FP&A data products while mentoring teammates and contributing to hiring and onboarding.

As a Senior Data Engineer, you'll design data architecture, manage data pipelines, develop secure production code, and collaborate with cross-functional teams to innovate healthcare technology solutions.

Lead discovery and tailored demonstrations for a SaaS trade promotion management platform. Translate CPG, financial, and commercial workflows into proposed solutions; assess integrations, requirements, dependencies, risks, and customer readiness; and coordinate with Account Executives, Solution Architecture, Integrations, Product, Implementation, and Customer Success. Document solution details, support handoffs, develop reusable sales enablement, and relay recurring customer needs to internal teams.

Design scalable customer solutions for trade promotion management SaaS implementations. Lead solution alignment, validate business processes and requirements, define workflows, data flows, integrations, dependencies, acceptance criteria, and implementation blueprints. Coordinate across Sales, Implementation, Integrations, Managed Services, Customer Success, Product, and Engineering while maintaining solution integrity. Identify risks, scope gaps, and product limitations; support UAT, go-live readiness, change management, and reusable implementation standards.

Conduct outbound prospecting, qualify leads, schedule meetings, maintain CRM records, and follow up with prospects. Support sales presentations, proposals, market research, competitor analysis, executive coordination, calendars, and special projects. Collaborate with internal teams while helping drive business development and revenue initiatives across LATAM.

Drives B2B business development, lead generation, strategic partnerships, complex sales opportunities, and client relationships. Leads discovery calls, proposals, RFPs, executive presentations, and revenue-generating activities. Coordinates cross-functional special projects, analyzes sales performance, supports growth initiatives, represents the company at industry events, mentors junior staff, and collaborates with executive leadership. The role is remote and requires residence in LATAM, fluent English, CRM proficiency, and travel as needed.

Conduct outbound prospecting, qualify leads, manage CRM records and sales pipelines, coordinate follow-ups, support proposals and RFPs, research market opportunities, and manage special projects with internal and external stakeholders. The role also supports executive communications and scheduling while maintaining client and prospect relationships throughout the sales cycle.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Lead frontend architecture and development for an AI-powered voice platform. Build responsive dashboards and reusable components, integrate real-time WebSocket and WebRTC voice capabilities, consume AI backend APIs, manage complex application state, and optimize performance, accessibility, and reliability. Mentor frontend developers, establish coding standards, collaborate with designers and backend teams, and develop prototypes, testing strategies, and production-ready interfaces.

Design, train, deploy, monitor, and optimize AI/ML models powering a cloud-based voice agent platform. Responsibilities include STT, NLU, and TTS development; MLOps pipelines; AI API services; inference and latency optimization; frontend prototypes and dashboards; research, experimentation, vendor evaluation, documentation, and code quality. The role requires collaboration with backend, frontend, and infrastructure teams.

Support recruitment, campus outreach, and partnership development. Source, screen, and shortlist candidates; hire campus ambassadors and sales interns; coordinate onboarding, meetings, and payments; maintain partner relationships and track deliverables.

Design, implement, and optimize full-stack solutions. Collaborate with cross-functional teams, participate in code reviews, analyze and improve system performance, and stay current with industry technologies.

Lead enterprise customer success for national home care networks and health systems. Own pilots through expansion, run executive cadence, diagnose workflows, coordinate technical triage with engineering, build onboarding/playbooks, influence roadmap, and travel for go-lives and QBRs (~30%).