Top Tech Jobs & Startup Jobs

Own aerothermal environment definition for a reusable Earth-return vehicle across its flight envelope. Run high-enthalpy CFD, engineering heating methods, and custom solver extensions; integrate CFD, test data, and uncertainty margins into databases supporting TPS, structures, and trajectory design. Validate methods through analytical, wind tunnel, arc-jet, and flight data, automate environment delivery, and manage computing resources.

Owns dual-track B2B sales for physical products and Rel.ai software, including prospecting, demos, negotiations, closing, expansion, pipeline development, CRM setup, sales process design, KPI reporting, and team leadership. The role builds both sales motions from scratch, manages one direct report, hires future team members, and reports to the CEO in a hybrid startup environment.

Own top-of-funnel growth for AI Council and Zero Prime through demand generation, SEO, content, social, email, community engagement, and event marketing. Build funnels, run channel experiments, grow conference registrations and audiences, create marketing assets, support events, and maintain performance dashboards. This is a hands-on, in-person role focused on reaching technical AI, ML, and developer communities.

Manage the full inside sales cycle from prospecting through customer acquisition. Responsibilities include outbound calling, qualifying opportunities, conducting needs analysis, closing sales, meeting quotas, maintaining Salesforce pipeline records, submitting enrollment forms, and coordinating installations. The role requires strong communication, cold-calling, objection handling, phone-based selling, autonomy, and a performance-driven mindset.

Develop and maintain backend services for OppFi’s financial technology platform. Responsibilities include building Java applications and services, collaborating in an Agile environment, conducting code reviews and testing, documenting best practices, and refining technical requirements into production-ready solutions. The role uses AWS, Docker, PostgreSQL, APIs, and related cloud-native technologies.

Lead design and delivery of full-stack basketball scoring, statistics, and postgame features. Build scalable backend services and APIs with TypeScript and Node.js, develop React web experiences, support iOS and Android products, and make architectural decisions. Collaborate across product, design, and engineering teams, ensure code quality and system reliability, mentor peers, and contribute to technical standards and tools.

Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.

Manage AI and machine learning products for materials science, including customer demonstrations, roadmap planning, product expansion, ML model development, and leadership of the materials science ML team. The role requires deep expertise in materials science and ML, software-industry experience, customer engagement, public presentations, and global travel.

Lead integrated B2B SaaS marketing campaigns across webinars, email nurture, digital content, events, field activation, and ABM. Orchestrate campaign strategy and execution across the buyer journey, partner with Sales and Customer Success, manage marketing calendars and budgets, and use account and intent data to improve pipeline impact and conversion.

Build and operate production AI systems for FDA regulatory intelligence, including evaluation pipelines, document ingestion and retrieval, multi-agent workflows, data pipelines, cloud infrastructure, and secure multi-tenant services. Collaborate with former FDA experts to translate domain judgment into product requirements and evaluation cases. Own architecture, reliability, observability, cost, security, and rapid 0-to-1 delivery across the stack.