Top Tech Jobs & Startup Jobs

Build and maintain AI agent tools, actions, APIs, and orchestration systems for reliable multi-step workflows. Own scalable customer-data ingestion pipelines, integrate LLM APIs and third-party services, and lead projects from design through deployment and monitoring. This backend-leaning full-stack role requires strong Python, PostgreSQL, React, and TypeScript skills, along with production AI experience and high-autonomy startup execution.

Own end-to-end product design across research, user flows, wireframes, prototypes, high-fidelity UI, and usability testing. Collaborate directly with founders and engineers, interview early customers, translate workflows into product decisions, make pragmatic engineering tradeoffs, and iterate on shipped features. The role also contributes to brand and marketing surfaces while helping shape an early-stage AI product.

The role involves owning customer support, managing billing and subscriptions, building workflows, and ensuring operational efficiency. You will engage with customers, design processes, and create systems and documentation.

Manage B2B lifecycle marketing across email (HubSpot), webinar marketing, organic social, and podcast production. Build segmentation, automation, content calendars, analytics and growth strategies to increase audience engagement and customer retention. Coordinate with founders, marketing, sales, and customer success to translate insights into campaigns and content.

Manage fulfillment and inventory by picking, packing, and shipping orders while ensuring quality control and maintaining workspace organization.

The Technical Recruiter will manage technical searches across software, data, AI, and cloud roles, collaborating with hiring managers and ensuring detailed candidate assessment and feedback.

The Account Executive will foster relationships with IT firms and enterprises, focusing on consultative sales around AI-based solutions, driving pipeline growth, and managing sales processes effectively.

The Software Engineer will build and own features for the AI-driven matching and screening platform, focusing on data structuring and full-stack development. Collaboration with users and maintaining high quality through testing is essential.

Build and maintain scalable React/Node/TypeScript web applications, design RESTful APIs and microservices, optimize performance, troubleshoot full-stack issues, collaborate on features, adopt AI-assisted tools, and support CI/CD and cloud integrations.

Lead a quantitative modeling team to develop and govern credit underwriting, pricing, collections, and portfolio risk models. Collaborate with stakeholders on acquisition pricing, marketing optimization, M&A risk assessment, and model validation. Oversee model performance, governance, and implementation to support lending strategies and maximize profitability while minimizing credit losses.

Designs, develops, and maintains Workday integrations and enterprise application solutions; translates business requirements into technical designs; troubleshoots production issues; collaborates with stakeholders; ensures security and delivers solutions using Workday integration tools and web services.

Lead design and build of core parts of Maynard, own architecture for high-risk systems, turn prototypes into reliable production software, set standards for testing, deployment, observability, security, and reliability, and use AI tools to accelerate development while writing substantial production code.

Own end-to-end demand generation through content strategy, editorial planning, newsletters, webinars, executive thought leadership, earned media, lifecycle marketing, and brand building. Create and repurpose content across channels, manage HubSpot nurture programs, measure performance, support acquired brands, and build community relationships. The role partners with sales, executives, subject matter experts, and accessibility resources while developing scalable marketing systems for complex, regulated B2B audiences.