Top Tech Jobs & Startup Jobs

Conduct quantitative and statistical analyses of financial and operational data; build data models, automated reports, visualizations, predictive models, and A/B tests using SQL and Python. Partner with finance, product, provider operations, marketing, and other stakeholders to deliver actionable insights. Own analytics projects end-to-end, communicate findings to technical and non-technical audiences, and ensure compliance with SOX controls.

Manage and grow existing client accounts by building relationships, serving as primary contact, coordinating cross-functional teams, driving retention and upsell, leading QBRs, supporting onboarding, monitoring account health and reporting actionable insights to leadership.

Own paid social and programmatic acquisition across Meta, TikTok, Snapchat, Reddit, display, and CTV. Manage campaign strategy, budgets, pacing, testing, optimization, forecasting, attribution, and acquisition KPIs. Analyze funnel and channel performance, develop creative testing recommendations, and collaborate with Analytics, Creative, Product, agencies, vendors, and platform partners. Communicate performance insights and growth recommendations to leadership while expanding emerging media channels and improving customer acquisition efficiency.

Lead Tee’s performance marketing programs across paid search and social channels, managing acquisition strategy, budgets, forecasting, testing, creative production, funnel analysis, and optimization. Monitor CAC, CPA, conversion, subscriber growth, and channel efficiency; diagnose performance changes and translate data into recommendations. Partner with Analytics, Creative, Product, Finance, and Marketing leadership to scale customer acquisition and launch structured experimentation.

Leads technical projects from requirements through deployment across web, mobile, API, backend, and engineering teams. Translates product priorities into execution plans, manages timelines, dependencies, risks, blockers, releases, and project documentation. Facilitates Agile ceremonies and technical decision-making while coordinating Product, Engineering, Design, Data, external partners, and stakeholders. Requires strong software development lifecycle knowledge, communication, prioritization, stakeholder management, and experience delivering complex technical initiatives.

The Product Manager owns product ideation, strategy, backlog prioritization, feature execution, lifecycle management, KPI definition, experimentation, and performance monitoring. They analyze user feedback and web analytics, identify product improvements, conduct quality assurance testing, and collaborate with engineering, design, data science, research, marketing, and leadership teams to deliver effective user-focused solutions.

Manage full-cycle recruiting for technical roles across Engineering, Data, Product, and AI/ML. Source and engage passive candidates, advise hiring managers on profiles, compensation, timelines, and market conditions, and build relationships with executives and candidates. Improve recruiting processes, candidate experience, sourcing effectiveness, and hiring strategy while managing multiple searches and stakeholders.

The Senior Data Engineer will design and develop scalable data architectures, manage ETL processes, optimize databases, and implement MLOps pipelines, promoting data-driven decision-making across the organization.

Develops consultant and broker channel relationships through targeted outreach, research, networking, and social selling. Generates and nurtures qualified opportunities, coordinates introductions and discovery meetings, maintains CRM records, builds channel pipeline, reports market insights, and collaborates with sales, marketing, and partnerships teams to advance growth objectives.

Provides empathetic client support through email, chat, and phone for benefits coverage and service issues. Resolves complex escalations, investigates complaints, educates clients on self-service resources, and follows up to ensure satisfaction. Identifies contact trends, escalates potential service issues, improves knowledge resources and support processes, and supports team onboarding through coaching and subject-matter expertise.