Top Tech Jobs & Startup Jobs

Develop and deploy machine learning models for humanoid robot manipulation, covering data collection, annotation, synthetic data generation, simulation, training, fine-tuning, and on-robot deployment. Diagnose performance issues across computer vision, calibration, geometry, sensor fusion, models, and data. Build reliable real-time robotic software, lead technical architecture, and mentor robotics engineers while transferring research innovations into production hardware.

Own the member engagement product roadmap across email, SMS, and AI-powered voice outreach. Configure campaigns, segmentation, triggers, sequencing, and A/B tests in Customer.io; analyze engagement data and conversion metrics; drive experimentation; and partner with engineering, marketing, clients, sales, and operations to improve outreach systems, content, timing, and member outcomes.

Own the complete B2B sales cycle for TradeEngage’s home-services referral platform, from prospecting and discovery through demos, objection handling, forecasting, contract close, and customer handoff. The role works with inbound, partner-referred, and self-sourced opportunities; maintains CRM hygiene; and represents the company at industry events and franchise conventions. Candidates should have proven consultative closing experience, strong sales performance, credibility with business owners, and comfort using AI tools.

Own customer success activities and outcomes by driving customer value, tracking internal and external milestones, building strong client relationships, serving as a product expert, troubleshooting SaaS issues, analyzing business metrics, identifying growth opportunities, and collaborating with Sales, Support, and Success teams.

Own and maintain product marketing collateral for an AIOps platform, agentic AI orchestrator, and vertical solutions. Translate technical input from product and data science teams into polished presentations, graphics, diagrams, and decision-ready materials. Align messaging with Communications, support government and industry conference operations, develop technical content, and track customer feedback, market trends, competitors, and emerging technologies. The role requires credible communication with technical evaluators and senior government decision-makers.

Build Dayjob’s U.S. sales pipeline through researched cold calling, email, LinkedIn outreach, prospect visits, and trade show networking. Research and prioritize fleet-owner prospects, learn the waste and trucking industry, attend meetings alongside the CEO, and provide market feedback to improve messaging and qualification. The role offers progression into broader sales-cycle ownership.

Designs, builds, and maintains data infrastructure, ETL pipelines, data models, and analytics data warehouses. Ensures accurate data flow from creation through presentation layers and supports reporting, analytics, and machine learning initiatives. Collaborates with stakeholders to deliver data products, improves engineering tooling and pipelines, participates in on-call support, and uses cloud, containerization, orchestration, streaming, and CI/CD technologies.

Assists the Distribution Center Manager with daily order processing, warehouse operations, employee hiring, training, supervision, inventory control, safety, facilities, equipment maintenance, and customer-specific order fulfillment. Leads the team when the manager is absent, supports production areas during high volume, opens and closes the facility, and responds to emergencies as needed. This hands-on warehouse role requires frequent lifting and prolonged standing.

Acquire and grow enterprise SaaS customers in New York through prospecting, outbound outreach, demos, contract negotiation, and full-cycle sales ownership. The Account Executive will build pipelines, manage channel and technology partners, collaborate with Microsoft sales teams, guide customers from initial contact through contract signing, and consistently exceed territory quotas.

Partners with Finance, Accounting, and IT stakeholders to analyze financial processes, define business and technical requirements, design scalable system solutions, and troubleshoot enterprise applications, integrations, and workflows. Coordinates testing, UAT, production readiness, and post-deployment validation. Incorporates financial controls, SOX compliance, auditability, data governance, segregation of duties, and security into solution designs while identifying opportunities for automation and AI-driven process improvement.