Top Tech Jobs & Startup Jobs in Baton Rouge, LA

Builds and manages relationships with repair and restoration firms, develops standardized marketing and training programs, onboards partners, analyzes network data, and drives process improvements. Acts as liaison to internal teams and creates collateral to increase participation and engagement.

Lead design, build, and maintain scalable data pipelines and infrastructure using Azure Databricks, ADF, and SQL Server. Develop OLTP and dimensional models, integrate Salesforce and SaaS sources, implement batch and real-time processing, enforce data governance and CI/CD, troubleshoot performance, mentor team members, and drive improvements to reduce technical debt and improve cost and performance.

Review and QA repair estimates and files, complete cabinetry/furniture valuations using Xactimate, ensure file completion and billing, follow up on incomplete submissions, support SLAs, assist manager with metrics and process improvements, and manage queues.

The PPC Specialist develops and executes PPC campaigns on various platforms, analyzes performance, conducts keyword research, manages bids, and collaborates with teams to optimize for ROI while staying current with industry trends.

The Google Business Profile Expert will manage client Google My Business listings, ensuring proper verification and optimization while maintaining excellent communication and adaptability to various software systems.

The PPC Specialist will manage and optimize PPC campaigns across various platforms to drive traffic, generate leads, and maximize ROI. Responsibilities include analyzing campaign performance, conducting keyword research, and collaborating with teams to align campaigns with business objectives.

The Regional Sales Manager will develop sales strategies, build relationships with healthcare decision-makers, manage the sales cycle, and meet sales targets.

Own end-to-end state launch projects: translate state QAPs into system logic, run scripts, validate scoring with SQL, perform QA, maintain updates, and support customers on scoring and rules.

Run high-quality outbound prospecting to identify and engage affordable housing developers, qualify leads, and book demos. Manage CRM and pipeline, personalize outreach across email/phone/social, collaborate with marketing and sales leadership, and iterate messaging to improve conversion and pipeline velocity.

Lead IT operations, enterprise applications, and infrastructure. Manage Google Workspace, Microsoft 365, HubSpot, Hootsuite, cloud environments (AWS/Azure/GCP), device lifecycle, monitoring, backup and disaster recovery. Oversee IT support, onboarding, incident response, vendor relationships, and IT team development while collaborating with business leaders to ensure reliable, scalable technology and service delivery.

Lead client delivery for AI-driven marketing transformation: run discovery, build scopes and roadmaps, coordinate teams, track timelines/budget/risks, provide status reporting, and ensure measurable outcomes.

Develop and execute targeted sourcing strategies to identify and engage technical talent across multiple engineering domains; build and maintain candidate pipelines; conduct initial screens and assessments; collaborate with recruiters and hiring managers; maintain ATS data integrity and track sourcing metrics to optimize processes.

Lead organizational change for finance transformation initiatives: develop change strategies, stakeholder assessments, communications, training, adoption metrics, readiness dashboards, and playbooks while partnering with Finance, IT, HR, and executives to drive adoption and measurable outcomes.

Lead global finance transformation programs end-to-end: design future operating models, implement ERP/automation/AI initiatives, manage program delivery, drive organizational change, and develop high-performing teams to realize measurable finance improvements.

Design, implement, test, document, and maintain software applications. Write clean, scalable code, use version control, collaborate with stakeholders, and manage databases and Agile workflows.

Provide high-level administrative support to senior executives by managing calendars, communications, travel, documentation, and events. Prepare briefing materials, coordinate projects, maintain confidential files, and support special projects to ensure smooth executive operations.

Provide front-line support via phone, email, and chat: answer inquiries, resolve issues, document interactions, escalate when needed, assist with accounts/orders, and meet performance targets while maintaining professionalism.

Identify and prioritize endpoint and identity exposure risks (EDR, AD/Entra, PAM, MFA), map attacker paths, produce remediation plans, validate fixes, and partner with IAM and endpoint teams to reduce exploitability and improve posture.

Design and implement AI-powered data pipelines and LLM-based mapping to parse, normalize, and validate structured and unstructured data. Build mapping logic, ingestion templates, and load-ready outputs; integrate ML/AI solutions with enterprise systems (APIs, databases, Azure); validate accuracy with stakeholders; document for scalability and production readiness while reducing manual mapping and improving data quality.

Hands-on platform engineering lead supporting platform modernization, API integrations, Azure migrations, DevOps readiness, data migration (PHI/PII aware), risk identification, and technical documentation while coordinating cross-functional teams.

Lead QA strategy and execution for Infrastructure QE: plan and run manual and automated testing, drive automation adoption, manage priorities and risks, communicate status to stakeholders, hire and develop the team, and coordinate cross-functionally and with vendors to ensure high-quality product launches.

Seeking a Principal AI/ML Researcher and Engineer to lead research and development in Bayesian Learning and Reinforcement Learning. This role involves architecting large-scale AI systems, model development, and driving technical strategy for innovative AI platforms that enhance personalization and decision-making at Airbnb.

Responsible for fine-tuning state-of-the-art LLMs, optimizing models for deployment, and driving AI architectural decisions. Collaborate with cross-functional teams to develop impactful AI products.