Top Tech Jobs & Startup Jobs

As an Account Executive, you will facilitate trade transactions, analyze market trends, maintain buyer and supplier relationships, and ensure compliance with regulations.

Lead the Talent Acquisition and People Strategy operations, building a global talent engine and recruiting team while leveraging AI and data analytics.

The Chief of Staff will support the CEO in executing company strategy, managing financial operations, applying AI to improve processes, and leading high-impact projects across the organization.

Own top-of-funnel for an AI-for-supply-chain scaleup: cold call daily, build and prioritize target lists, work warm leads from events, book qualified meetings with procurement and C-level contacts, run outreach sequences, feed market insights back into product and messaging, and progress from SDR to running and closing deals.

Lead the Sales Models portfolio (NBA, Churn, CLV), set roadmap and technical standards, manage a cross-functional Data Science and Engineering team, integrate models into Dynamics 365 and Power BI, translate model outputs into C-level decisions, and build governance and feedback loops from field sales to model iteration.

Lead the Sales Models portfolio (Next Best Action, Churn, CLV, cross-/upsell) and a cross-functional team to deliver production ML integrated with CRM and BI systems. Set roadmap, technical standards, and business cases; translate model outputs for C-level, and maintain governance and feedback loops from field sales to models.

Lead go-to-market strategy and pipeline growth for an AI supply-chain startup. Own enterprise customer conversations, create sales materials and business cases, optimize the funnel, run deals with MEDDIC/MEDDPICC, build the founding GTM/sales team, convert wins into references, and refine the ideal customer profile based on field learnings.

Lead Project A's communications strategy for the fund and its portfolio: own PR and brand positioning, produce thought leadership content, advise portfolio on funding announcements, build media and agency networks, plan events, and leverage AI tools to scale research, drafting, production, and monitoring.

Own the SmartRisk engine end-to-end: feature strategy, model training, calibration, backtesting, drift monitoring, explainability, and MLOps. Build cloud-based Python/SQL solutions, develop early-warning systems and portfolio insights, collaborate with stakeholders, and mentor other data scientists to drive measurable risk and business outcomes.

Lead and scale a multi-team engineering organization for an AI-first SaaS marketplace. Drive platform architecture evolution, cloud-native microservices, reliability, DevOps/CI/CD, and integrate AI/ML capabilities while aligning technology strategy with business goals.