Top Tech Jobs & Startup Jobs

Leads data-driven performance marketing strategies for deposit growth, customer relationship deepening, loan generation, and product adoption. Manages multichannel campaign strategy, delivery, measurement, optimization, budgets, KPIs, testing, ROI analysis, dashboards, and reporting. Uses GA4, CRM, and advertising platforms to translate customer and campaign data into strategic recommendations while collaborating with marketing teams, business partners, agencies, and compliance stakeholders.

Collect, clean, validate, and analyze operational data from multiple systems to support customer reporting and performance monitoring. Process SQL-based uploads, maintain accurate datasets, identify trends and anomalies, document reporting procedures, and create standardized workflows, dashboards, and tools. The role also supports process improvement and automation initiatives while collaborating with cross-functional teams and traveling to customer sites.

Develop and maintain web interfaces, dashboards, AWS applications, automated workflows, and AI/ML integrations. Responsibilities include writing and testing software, debugging systems, integrating existing tools, designing database interfaces, optimizing cloud applications and models, and collaborating across the software development lifecycle. The role requires seven years of software engineering experience, a relevant bachelor’s degree or equivalent experience, and an active TS/SCI clearance with Maryland polygraph.

Leads accounting operations and financial reporting for an FQHC, ensuring GAAP, HRSA, federal, state, and grant compliance. Oversees monthly financial statements, internal controls, audits, Single Audits, grants accounting, cash management, investments, debt financing, and tax compliance. Manages and develops an approximately 11-person accounting team while partnering with senior finance leadership to maintain audit readiness and operational excellence.

Build and maintain production backend systems for a real-time learning AI engine: APIs, data pipelines, performance optimization, testing, CI/CD, and troubleshooting. Collaborate with AI researchers, prototype features, and operate LLM instances (Claude) at scale.

Own the full SMB sales cycle from discovery through close, convert inbound and event-generated opportunities, manage pipeline and forecasts, and consistently achieve quota. Build trust with medspa entrepreneurs, conduct consultative discovery, sell a revenue-share model based on customer outcomes, and collaborate with SDRs. Share customer insights and help improve sales methodology, talk tracks, and objection handling as Moxie scales.

Manage the full customer engagement lifecycle across an enterprise sales territory focused on Michigan, Ohio, and Indiana. Generate pipeline, prospect into mid-market and enterprise accounts, qualify opportunities, build relationships from analysts to C-suite executives, and sell cybersecurity solutions including SIEM, EDR, XDR, security analytics, and threat intelligence. The role requires cybersecurity SaaS sales experience, strong communication, territory contacts, frequent travel, and the ability to ramp quickly in a fast-changing environment.

Support attorneys with legal research, document preparation (briefs, memos, reports), case management, and regulatory monitoring. Analyze environmental law issues, maintain organized case files, collaborate on case strategies, and assist in preparing materials for client matters.

Convert prospective resident leads into community tours and new leases through timely follow-up, compelling community information, and personalized apartment tours. Build resident loyalty by delivering an exceptional experience, generate awareness through Facebook and Instagram content, and resolve customer needs. The role requires weekend work three weekends per month, with two weekdays off.

Build, secure, and operate AWS infrastructure supporting AI services and federal applications. Deploy and manage production AI capabilities, cloud-native applications, infrastructure-as-code, CI/CD pipelines, containers, identity and access controls, secrets, monitoring, logging, and observability. Develop data pipelines using Python, SQL, and AWS services including S3, Glue, Lambda, and Step Functions. Establish reusable AI infrastructure patterns, support multiple application teams, troubleshoot issues, and meet security, privacy, and data-retention obligations.