Top Tech Jobs & Startup Jobs

Lead strategy to identify, negotiate, and onboard high-impact technology and system-integrator partners. Manage partner relationships, align initiatives with Product/Sales/Marketing, track partner performance, represent the company at events, and provide partner-driven product feedback to drive growth.

Lead and run growth experiments across acquisition funnels, optimize user journeys and landing pages, and manage creative production. Analyze campaign and funnel performance to improve conversion, CAC, LTV, and ROAS. Collaborate with cross-functional teams to rapidly launch, validate, and scale growth initiatives.

Lead end-to-end B2B SMB marketing programs including outbound campaigns, nurture sequences, and GTM motions. Manage marketing calendar, run webinar and events playbooks, coordinate speakers/vendors, align sales on pipeline and lead handoffs, craft briefs for content/design/product marketing, support landing pages and sales enablement materials.

Build, own, and improve Go-based microservices for an AI platform. Write scalable, secure backend code, design systems using Domain-Driven Design, work with distributed systems and NoSQL, deploy and monitor services, and collaborate in a fast-paced startup.

Lead product design for an AI-first SaaS platform: discover problems, run lightweight research and rapid experiments, design AI-native experiences, prototype and validate solutions, collaborate with PMs and engineers, and iterate on MVPs to scale cohesive product systems.

Design, build, and maintain Go-based microservices for a high-load AI platform. Own services end-to-end, write scalable, secure code, work with distributed systems and NoSQL, and collaborate to ship reliable features quickly.

Lead AI/ML research and product work: prototype and build production-grade, scalable AI systems; evaluate LLMs; implement context, memory, retrieval and agentic solutions; collaborate with PMs and cross-functional teams; promote GenAI adoption.

Build and improve backend features for an AI orchestration platform. Write scalable, secure, high-performance Go-based microservices, own services end-to-end (implement, deploy, monitor), work with distributed systems and NoSQL, and collaborate closely with other developers in a fast-paced startup environment.

Lead product design for an AI-native SaaS platform: discover problems, run rapid experiments and prototypes, conduct lightweight user research, design trustworthy AI experiences, collaborate with PMs and engineers, and iterate on product systems and patterns while balancing speed and long-term vision.

Lead end-to-end product analytics: design tracking, build and maintain pipelines and dashboards, ensure data quality, partner with Product and Engineering to deliver actionable insights and instrumentation.