Top Tech Jobs & Startup Jobs in Charlotte, NC

Design, productionize, and scale machine learning and optimization models, pipelines, libraries, and deployment platforms. Partner with data scientists, engineers, product managers, and business stakeholders to deliver ML capabilities, personalization systems, and reusable end-to-end workflows. Establish ML engineering best practices, troubleshoot data pipelines, mentor junior professionals, and help define BetterHelp’s ML platform strategy.

Lead BetterHelp’s organic brand and distribution strategy across social, creators, partnerships, community, long-form content, PR amplification, and emerging channels. Build audience-first channel strategies, creator relationships, cultural activations, international distribution, measurement frameworks, compliance systems, and AI-assisted workflows. Manage and mentor a growing team, budgets, agencies, and partners while connecting organic, earned, and paid distribution to expand brand relevance and reach.

Develop and own full-stack web features from design through deployment, monitoring, and optimization. Build APIs, backend services, responsive user experiences, SQL queries, and relational database schemas. Modernize legacy systems, troubleshoot performance issues, participate in code reviews, and collaborate with product and design teams in an agile continuous-delivery environment. The role emphasizes secure, maintainable, scalable code, technical ownership, and thoughtful use of AI-assisted development tools.

Provides corporate legal counsel for BetterHelp’s B2B and direct-to-consumer operations. Drafts and negotiates enterprise, partnership, marketing, affiliate, reseller, referral, vendor, and healthcare agreements. Advises on HIPAA, FTC, privacy, information security, telehealth, healthcare, and advertising regulations. Partners with sales, product, marketing, engineering, compliance, and operations to operationalize agreements and support digital health partnerships.

Serve as a strategic commercial finance partner across cash-pay and insurance-covered businesses. Own driver-based forecasting, financial modeling, performance analysis, business cases, KPI reporting, and executive communications. Analyze payer dynamics, reimbursement, revenue cycle, unit economics, marketing ROI, and customer cohorts to inform senior leadership and drive strategic decisions. Collaborate with Revenue Cycle, Analytics, Operations, Accounting, and FP&A on scalable models and processes.

The Staff ML/AI Platform Engineer will design, prototype and deploy AI/ML models, optimize pipelines, mentor junior engineers, and collaborate closely with other teams to develop machine learning solutions.

Design, implement, and maintain marketing inference models (e.g., MMM and attribution). Analyze large datasets and A/B/uplift experiments with rigorous statistics, build predictive and causal models, partner with marketing to generate testable ideas, and communicate insights to drive marketing decisions.

Lead analytics and insights for the CFO and exec team: produce executive-ready analyses, design scalable analytics infrastructure, leverage AI to accelerate workflows, partner cross-functionally to drive strategy and execution, and manage multiple high-impact initiatives.

Use statistical and causal inference methods to build, implement, and monitor marketing models (Bayesian MMM, multi-touch attribution), analyze A/B and uplift tests, partner with marketing to test and drive data-informed decisions from large web-product datasets.