Top Tech Jobs & Startup Jobs

Develop and advance the enterprise data platform by gathering business requirements, designing data models and warehouses, and building data visualization solutions. Administer reporting, analytics, and visualization platforms while promoting best practices. Collaborate cross-functionally, apply business and process knowledge, manage multiple projects, communicate strategically, and provide technical leadership in data engineering and business intelligence.

Creates and modifies complex 3D component and assembly models, detailed CAD drawings, and configuration-management records. Performs design checks, identifies inconsistencies, applies GD&T and MBSD standards, and proposes modifications to improve product quality and functionality. Collaborates with engineers to resolve design issues and develop aerospace components while maintaining PLM documentation and organized design data.

Generate new business through outbound prospecting, including cold calls, email campaigns, and social outreach. Build and maintain accurate prospect follow-up lists, overcome objections, develop sales pipelines, and serve as the initial contact for prospective clients. Success requires strong communication, organization, persistence, resilience, self-motivation, and relationship-building skills.

Serve as a strategic advisor to the SVP of US Solutions by leading strategic planning, executive communications, governance, performance tracking, reporting, and cross-functional initiatives. Coordinate operating rhythms, business reviews, and special projects while developing recommendations and insights for senior leadership. Drive alignment, change management, organizational effectiveness, and execution across Product, Technology, Sales, Finance, Operations, and Legal teams.

Supports client experience managers and named accounts by gathering campaign requirements, preparing reports and presentations, managing meetings, troubleshooting and QAing campaign setups, maintaining Salesforce contacts, documenting projects, and creating Photoshop email mockups. The role develops expertise in the Movable Ink platform and email ecosystem, with the opportunity to manage a client book of business independently in the future.

Supports customer success and operations for oncology accounts. Serves as a primary customer contact, coordinates integrations and renewals, supports cross-functional projects, maintains account dashboards and KPIs, updates playbooks, and provides administrative support to leadership. The role requires strong organization, communication, analytical ability, spreadsheet proficiency, and interest in healthcare technology.

Build and operate secure, reliable, scalable platform infrastructure across AWS, PostgreSQL, ECS, CI/CD, and observability systems. Lead security and reliability initiatives, incident response, engineering tooling, and non-functional standards. Develop AI platform capabilities, including LLM development tools, guardrails, and infrastructure for AI-powered product features. Collaborate cross-functionally to understand organizational needs and improve developer productivity.

Drive new-logo acquisition and account expansion across an enterprise territory with approximately $1.5M ARR quota. Manage full-cycle, multi-stakeholder sales involving prospecting, partner co-selling, solution alignment, negotiation, forecasting, and expansion. Sell cloud infrastructure and data storage solutions to enterprise customers, collaborating with AWS, Microsoft, VAR, Sales Engineering, Marketing, Channel, and Customer Success teams.

Own federal and state tax software updates from research through launch. Translate tax law changes into product requirements, calculations, UI, documentation, PDFs, e-file/XML, and test scenarios. Review targeted code changes, collaborate with engineering and quality teams, conduct regression and launch testing, and resolve filing defects and rejections with tax agencies and internal partners.

Build and productionize traditional machine learning models, owning feature engineering, validation, deployment, monitoring, drift detection, and retraining. Develop LLM-powered agentic tools, dashboards, self-serve analytics products, and automated insight pipelines. Partner with engineering and business stakeholders, write production-grade Python and SQL, drive adoption, improve data quality, and establish responsible AI workflows for a regulated industry.