Top Entry Level Jobs

Own end-to-end client CRM engagements, primarily in HubSpot, including discovery, architecture, configuration, automation, migration, data quality, reporting, attribution, documentation, training, and post-launch support. Build repeatable CLI- and AI-driven solutions using Claude Code, HubSpot CLI, MCP servers, and HubSpot agents. Advise clients on prioritization, scope, governance, and revenue-impacting improvements while supporting demandDrive’s internal HubSpot instance.

Own diagnostic software testing and integration across vehicle subsystems, simulation environments, hardware-in-the-loop benches, and production vehicles. Develop automated Python and Pytest test cases, execute regression and vehicle-level testing, perform physical fault injection, analyze logged data, and troubleshoot root causes with software and development teams. The role also defines requirements-traced test cases and streamlines testing across software, hardware, and vehicle environments.

Diagnose, troubleshoot, repair, program, and test returned electronic fuel injection and ignition products at the component level. Interpret schematics and technical documentation, perform PCB soldering and rework, execute firmware updates, document repair findings, identify root causes, and support quality improvements while collaborating with Engineering, Production, and Customer Support.

Build and productionize physical AI systems involving agentic AI, machine learning, reasoning, knowledge graphs, multimodal data, forecasting, optimization, and autonomous decision-making. Develop models, prototypes, and scalable software while collaborating with researchers, product teams, and engineers. The role emphasizes experimentation, reliable deployment, and solving real-world industrial problems using data from sensors, documents, images, video, and enterprise systems.

Designs and prepares highway and local roadway plans, performs quality reviews, mentors junior staff, develops proposals and cost estimates, manages schedules and budgets, supports contracts, and maintains client relationships for transportation projects.

Provides workforce metrics, reporting, analytics, and data visualization to support management decisions and performance improvement. Develops workforce optimization models for scheduling, collaborates with local leadership, coaches clinical leaders on workforce efficiency, and supports scheduling-system operations. Leads HR reporting through ERP systems, standardizes position-control reporting, tracks performance metrics, and drives ongoing process improvement.

Own and build Sagetap’s marketing growth system, including CRM, attribution, automation, dashboards, executive acquisition channels, advocacy, content, partnerships, events, referrals, and activation. The role targets growth of a senior technology executive community through data-driven experiments, proprietary content, and scalable programs. This leader will work closely with the CEO, manage budget development, engage executives, and optimize cost per activated member and activation rates.

Provides comprehensive support to company leadership across executive scheduling, personal and corporate administration, philanthropy, travel, aircraft coordination, rental properties, office operations, communications, and advisory board logistics. Responsibilities include managing calendars, correspondence, records, donations, contracts, maintenance schedules, meetings, travel arrangements, and confidential financial or household tasks. The role requires discretion, initiative, strong organization, communication skills, and proficiency with Microsoft Office and scheduling tools.

Build and validate forecasting, optimization, anomaly detection, and measurement models using complex customer data. Perform exploratory analysis, experiments, backtesting, and error analysis; partner with ML and data engineers to productionize models, features, evaluation pipelines, and monitoring. Translate business questions into analytical recommendations and communicate findings to technical and non-technical stakeholders. The role is hybrid in New York City or remote in the U.S. with monthly travel to New York.

Build and deploy production-grade AI agent systems that automate legal workflows. Responsibilities include developing Python-based agents, rapidly prototyping and evaluating product features, integrating customer and legal-team feedback, and creating AI-native workflows with streaming and long-running tasks. The role requires strong coding, LLM experience, scalable enterprise software skills, and an understanding of infrastructure systems such as databases and cloud storage.