Top Tech Jobs & Startup Jobs in Baton Rouge, LA

Hands-on role building, managing, and optimizing paid social campaigns across major platforms, supporting Google Ads, partnering with Creative and Account teams, executing creator/whitelisting strategies, monitoring performance, reporting insights, and testing new formats to improve results.

Execute, optimize, and report on paid social campaigns across major platforms. Develop targeting, creative tests, budget pacing, and performance analyses while partnering with clients and internal teams to drive measurable results.

Lead social-first creative direction across client accounts: own voice and performance-minded creative, translate media signals into messaging, collaborate with creators, execute fast-turn edits and iPhone-native shoots, leverage AI workflows to generate variations, and ensure paid and organic alignment.

Develop a deep understanding of US consumer technology behaviors, needs, purchase drivers, and market trends. Translate consumer, competitive, and cultural signals into product opportunities, recommendations, and roadmap priorities. Partner with global Product, Design, Engineering, Marketing, and Commercial teams to influence strategy and early-stage product development. Monitor competitors, retail, e-commerce, communities, and emerging technologies to identify opportunities for Nothing’s products.

Student internship supporting People Operations: create a strategic hiring plan for a part-time Coordinator, build internal communication structures for the internship program, and complete a course-aligned project with mentor guidance to develop internal processes for educational and marketing teams.

Support JMI's marketing team by creating customer profiles, helping develop targeting strategies for other interns, and completing a flexible, course-aligned market research project under mentor guidance.

Create standard design guidelines and graphic assets to support the marketing team and fellow interns. Work is project-based, guided by a volunteer mentor, and flexible to meet course internship requirements.

Develop, implement, and deploy scalable machine learning models for healthcare solutions. Collaborate cross-functionally to integrate models, analyze data to improve performance, ensure data quality, and stay current with ML advancements to support patient care and operational efficiency.

Manage HR operations including onboarding, employee relations, and performance management. Support recruitment, implement HR policies for compliance, facilitate training and engagement programs, and analyze HR data to inform decisions and improve employee experience.

Conduct job analyses, design and implement training and development programs, perform psychological testing and assessments, support organizational decision-making and employee well-being. Work hybrid between New Delhi office and remote.

Convert qualified B2B opportunities into closed deals by managing the full consultative sales cycle. Conduct discovery, present solutions, negotiate terms, manage pipeline and forecasting, collaborate with internal teams, and consistently meet monthly and quarterly revenue targets.

Owns full-cycle recruiting across multiple functions, including intake, sourcing, screening, interview design, offer negotiation, and closing. Builds talent pipelines, manages job postings and candidate databases, coaches hiring managers, calibrates interviewers, and improves recruiting processes. The role requires strong communication, operational precision, attention to detail, autonomy, and experience filling difficult roles. Healthcare or regulated-environment recruiting experience is preferred.

Serve as a trusted FP&A partner for GTM leaders supporting budgeting, forecasting, driver-based modeling, performance analysis, month-end close, scenario modeling, executive reporting, and process automation to inform investment and growth decisions.

Provides hands-on technical leadership for data analytics support across enterprise customers. Responsibilities include resolving complex SQL, cloud platform, ELT, data pipeline, data warehouse, and BI issues; optimizing analytics solutions; conducting root cause analysis; reviewing SQL and BI changes; mentoring analysts; automating support processes; and advising customers on Tableau, Power BI, and modern analytics architecture.

Build and evolve Polar’s finance and monetization platform for AI products. Own product development end-to-end across frontend and backend systems, create intuitive developer experiences, ship reliable software quickly, engage with merchants, and translate feedback into product improvements. The role requires strong technical foundations, product judgment, design sensibility, autonomy, engineering quality, and comfort working across the stack. Payments, billing, developer tools, open-source contributions, and side projects are valued.

Build and operate reliable platform systems supporting billing, payments, financial workflows, and usage-based software. Responsibilities include evolving cloud infrastructure, improving observability and incident response, creating developer tooling and automation, optimizing distributed backend systems and databases, and ensuring security, auditability, and financial data correctness. The role requires pragmatic technical judgment, product awareness, end-to-end ownership, and experience operating production systems at scale.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Build and operate full-stack systems for an AI-powered offensive security platform. Responsibilities include developing React frontends, TypeScript APIs, Kotlin and Go backend services, deploying on AWS, designing scalable systems, optimizing databases, supporting production, and owning features from concept through deployment. The role involves close collaboration with AI and security researchers in a fast-paced remote startup.

As a Software Engineer, you will design and implement scalable infrastructure systems for AI-powered security solutions, optimize performance, and improve deployment practices across cloud environments.