Top Remote Jobs in Birmingham, AL

The AI Product Manager is responsible for strategy and execution of AI solutions, managing product roadmaps, collaborating with teams, and improving AI performance through metrics and user feedback.

Administers multi-state health, welfare, retirement, and benefits programs while serving as the primary UKG HRIS administrator. Responsibilities include enrollments, leave-related benefits continuation, carrier reconciliation, open enrollment, 401(k) operations, HRIS transactions, integrations, reporting, compliance documentation, audits, employee support, and system testing. The role maintains data integrity, supports regulatory requirements, and trains HR partners and employees.

Own strategic customer relationships and guide large enterprise organizations through post-onboarding cloud security adoption. The role connects Wiz’s value to customer initiatives, drives product adoption and expansion, coordinates Sales, Support, Success, Product, Engineering, and customer teams, and advises stakeholders from technical teams to CISOs. Responsibilities include transformation project management, governance, training, business case and TCO analysis, tool consolidation, milestone definition, blocker removal, and ensuring secure workload migrations and successful Wiz implementation.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Designs and implements AWS cloud-native applications, distributed systems, and machine learning infrastructure. Leads architecture for SageMaker model deployment, inference, endpoints, and AI integrations while guiding engineering teams. Builds scalable event-driven services using AWS Lambda, SNS/SQS, EventBridge, DynamoDB, and Bedrock. Develops Python automation and ML integrations, applies Terraform and CI/CD, and ensures production ML workloads are secure, reliable, scalable, and cost-effective. Preferred experience includes NLP, embeddings, generative AI, OCR, MLOps, RAG, and vector databases.

Provides remote technical support for laboratory diagnostic instruments by identifying problems through customer discussions, data, logs, and remote access. Troubleshoots root causes, guides customers through corrective actions, documents calls in the CRM, follows regulatory procedures, and determines when field service dispatch is needed. Requires strong communication, problem-solving, product knowledge, and the ability to explain complex information clearly.

Manage enterprise client portfolios with a focus on retention, churn reduction, value realization, and revenue growth. Build executive relationships, guide clients on marketing best practices and consumer-generated content optimization, coordinate cross-functional teams, mitigate risks, identify upsell opportunities, and advocate for customer success. The role requires managing complex workstreams and demonstrating measurable business outcomes for SaaS or e-commerce clients.

Own full-cycle recruiting for engineering and product teams, including intake, outbound sourcing, candidate assessment, interview execution, and offers. Partner strategically with engineering and product leaders to define hiring needs, maintain rigorous standards, build diverse talent pipelines, and evaluate technical and product candidates. Operate autonomously in a fast-moving, ambiguous environment while advising leadership on hiring strategy and transferable skills.

Build and maintain versioned data ingestion and conflation pipelines that transform complex retail and spatial data into accurate, reliable insights. Responsibilities include entity resolution, golden-record creation, rules-based normalization, RegEx logic, LLM integration, schema evolution, and cost-effective scaling. The role emphasizes engineering rigor, high-fidelity outputs, and production-ready data for consumer dashboards.

Leads budgeting, liquidity forecasting, cash flow modeling, financial reporting, scenario analysis, and capital planning for large-scale energy and data center projects. Partners with treasury, project finance, accounting, capital markets, and executives to guide capital allocation and establish scalable forecasting processes. Mentors FP&A analysts and improves modeling standards, workflow automation, and tool usage.