Top Tech Jobs & Startup Jobs

Lead vendor and third-party security risk assessments, evaluate control effectiveness, develop risk treatment plans, and track remediation. Own OneTrust risk reporting, KRIs, KPIs, assessment methodologies, and questionnaires aligned with NIST frameworks. Collaborate with procurement, legal, business stakeholders, and risk owners while integrating AI into vendor risk processes. Support security-by-design initiatives, internal assessments, and external audits.

Analyzes healthcare marketing data processes, reporting requirements, transformations, and data quality across databases and platforms. Develops reporting tools, identifies anomalies and data loss, troubleshoots aggregate and PLD issues, manages metadata, supports data delivery, publishes campaign metrics, and performs ad hoc analysis. Requires SQL querying, visualization, dashboard development, client communication, quality assurance collaboration, and actionable recommendations.

Supports digital advertising campaigns after launch by monitoring performance, analyzing ad server and third-party data, preparing delivery summaries, coordinating with Inventory and Ad Operations, resolving billing discrepancies, and assisting Sales Planning leadership. The role requires strong Excel and Microsoft Office skills, data analysis ability, communication, organization, and the capacity to manage multiple campaigns in a fast-paced environment.

Design, build, evaluate, and deploy production-grade AI applications end to end. Develop stateful multi-agent workflows with LangGraph, rapidly prototype full-stack MVPs, and create automated LLM evaluation systems measuring accuracy, latency, hallucinations, and regressions. Integrate AI safely into business workflows, work with vector and relational databases, provide framework feedback, and mentor teammates while balancing technical complexity with intuitive user experiences.

Processes returned and outgoing retainer paperwork, verifies documents meet company and Social Security standards, enters accurate client and case assignment data in Croc and Captorra, answers inbound calls, responds to customer questions, and supports disability filing operations and special projects.

Leads national marketing for the Apartments Division, including B2B and B2C campaigns, brand management, lead generation, market research, budget and P&L oversight, trade shows, content development, product launches, and marketing performance reporting. The role uses AI to analyze data and support market insights, messaging, and strategic decisions while partnering with sales, product, and divisional teams.

Partners with senior leaders on workforce planning, talent management, succession, organizational effectiveness, employee relations, and leadership development. Leads HR transformation through process redesign, automation, analytics, AI-enabled tools, and change management. Develops workforce dashboards, guides data-driven talent decisions, improves employee experience, ensures HR compliance, and coaches leaders through organizational change and performance matters.

Owns sales compensation administration, commission calculations, payout validation, compensation models, and incentive plan updates. Resolves discrepancies and supports compensation inquiries while improving workflows, data models, and automation. The role focuses on increasing payout accuracy, reducing manual effort, and aligning incentives with evolving go-to-market and revenue objectives.

Conduct 50–60 daily cold calls, prospect for business, manage leads through the full sales cycle, close deals, and retain customers. The representative will use strong phone and written communication, time management, multitasking, follow-up, and organizational skills while achieving sales targets. Proficiency in Word, Excel, and Google Workspace is required. Automotive, social media, and B2B sales experience are advantageous.

Develop and deploy AI-powered internal and client-facing solutions using generative and agentic AI. Assist with design documentation, prompt engineering, LLM integrations, testing, troubleshooting, deployment, monitoring, and production support. Collaborate across teams while learning DevOps practices and contributing to organization-wide AI automation initiatives.