Top Tech Jobs & Startup Jobs in Baton Rouge, LA

Lead delivery of complex, multi-workstream professional services engagements for large strategic customers. Define program strategy and methodology, manage roadmaps, dependencies, budgets and risks, drive adoption and change management, and communicate outcomes to executive and technical stakeholders.

Own and execute multi-year strategic partnerships with a hyperscaler and an AI lab, aligning technical integrations, commercial motions, and joint go-to-market plans. Coordinate cross-functional teams, run operational cadences, track measurable outcomes (pipeline, ARR, integrations), and represent partnerships to executives while driving hands-on execution and follow-through.

As a Customer Success Architect, you'll align GitLab's DevSecOps platform with customers' business goals, provide technical enablement, manage customer portfolios, and ensure satisfaction through collaboration with various teams.

Lead development and evaluation of AI products for medical professionals using large-scale datasets. Create product and client-facing analytics, influence data team strategy, and collaborate with product managers, analysts, and engineers to execute data projects from ingestion through analysis to recommendations.

Lead brand voice and messaging consistency across press, blog, and marketing materials. Ghostwrite for executives, edit internal/external content, develop thought leadership, optimize for SEO, manage editorial calendars, run content audits, use analytics to track performance, and produce white papers.

Own and drive the end-to-end commercial performance of two DTC growth brands, including merchandising, pricing, bundles, assortment, and promotional cadence. Build and run an experimentation roadmap to improve conversion, AOV, attach rate, and margin. Coordinate cross-functionally with supply chain, growth & marketing, product, and CRM to deliver launches, campaigns, and brand expression. Be measured on measurable business outcomes and scale winning tests and initiatives.

Partner with HRBPs, TA, and Engineering/Product leaders to advise on compensation across the employee lifecycle. Use market data, internal talent insights, and AI tools to recommend pay, run annual comp and equity planning, manage promotions and offer decisions, evaluate global programs, build compensation tools/dashboards and automated reports, and create communications and training to drive adoption and equity.

Serve as the primary compensation partner for G&A, designing and managing broad-based pay programs. Support offers, promotions, benchmarking, job leveling, performance calibration, and analytics; build presentations and dashboards to inform HRBPs and leaders and align compensation with business priorities.

As a Senior Fullstack Engineer, you'll contribute to backend development for Toast's New Ventures team, collaborating on architecture and launching MVPs while addressing unmet operator needs.

Design, build, deploy, and operate a high-concurrency, resilient configuration and publishing platform. Lead cross-team projects, set technical direction, improve engineering productivity, optimize performance, and maintain end-to-end ownership of distributed systems at scale.

Build and productionize agentic workflows and RAG pipelines, integrate LLMs into the GTM stack, and develop high-performance backend services and ML pipelines. Connect quoting engine, Salesforce, and data lakes, solve synchronization and architectural challenges, and ensure observability, scalability, and reliability for sales automation tools.

Lead product strategy, discovery, and execution for LeafLink's marketplace and financial services. Partner with Design, Engineering, Data, Operations, and Commercial teams to define roadmaps, validate solutions, ship customer-facing B2B products, measure outcomes, and iterate using customer research and analytics.

Lead development of map-grounded world foundation models and generative scenario synthesis for AVs. Own end-to-end ML lifecycle, bridge generative models with classical simulators, define synthetic data quality and validation frameworks, run POCs with partners, and enable sim-to-real strategies to improve perception and planning.

Lead the evaluation and data-quality strategy for advanced AI, vision, and perception systems. Define metrics, failure taxonomies, and human-review protocols; translate evaluation findings into data strategy, experiment priorities, and product release decisions. Partner with model, simulation, and platform teams to drive production-readiness and continuous quality improvements.

Lead strategy and execution for generative and multimodal vision systems, from research to production. Design model architectures, adaptation, evaluation, and deployment pipelines; improve realism, controllability, robustness, and temporal consistency; benchmark and guide model selection; mentor scientists and coordinate cross-functional engineering to ship production-ready AI capabilities.

Support in-house litigation counsel by intake and tracking of new matters, maintaining litigation records, coordinating discovery and internal investigations, liaising with outside counsel, generating litigation reports, and improving litigation workflows and tracking tools.

Provide advanced technical support for large MongoDB customers across the full MongoDB ecosystem (server, drivers, Atlas, Cloud Manager). Troubleshoot performance, architecture, recovery, security and storage issues end-to-end, develop support tools, mentor new hires, and liaise with product and engineering teams. Work EST shifts with a weekend shift expectation after ramp and participate in occasional off-hours coverage or regional events.