Top Tech Jobs & Startup Jobs

Manage relationships with current and prospective institutional investors, provide updates on portfolio holdings, and identify co-investment opportunities. Support senior staff with vehicle-based side investments and collaborate with the investment team across company growth stages. Maintain accurate investor contact records and assist with reporting and fundraising activities.

Support a B2B software go-to-market team by maintaining CRM data, tracking sales pipelines, coordinating revenue meetings and partnership documents, preparing sales materials, and analyzing pipeline and customer health data. The role also involves building operational processes, creating capacity models, supporting leadership briefings, and using spreadsheets, data queries, and light scripting to automate workflows.

Own the full recruiting cycle for software engineering roles, including sourcing, outreach, candidate relationship management, scheduling, interviewing coordination, offers, and closing. Partner with engineering leaders on hiring priorities and build a local candidate pipeline through networking and community engagement. The recruiter will work independently as the sole recruiter in the office and support hiring across data and application-layer engineering disciplines.

Commercial Counsel will independently draft and negotiate service, data, vendor, partnership, and other technology agreements. The role provides practical deal guidance to business stakeholders, develops contract templates, playbooks, and AI-assisted workflows, and helps onboard and manage a future commercial counsel hire. Candidates should have approximately three years of commercial legal experience, strong knowledge of technology contract terms, regular AI tool usage, and active US bar membership.

Improve shared engineering systems, developer workflows, build pipelines, and internal utilities used across the company. Partner with engineering teams to remove bottlenecks, evaluate and safeguard AI-assisted coding tools, establish developer experience standards, maintain documentation and runbooks, and mentor engineers as a senior technical leader. The role focuses on scalable backend foundations, secure build systems, and enabling developers to ship efficiently and confidently.

Lead the engineering function by setting technical direction, building the team, architecting customer and internal systems, and remaining hands-on with software development. Collaborate with sales, operations, finance, and production teams to digitize workflows. Improve reliability, security, and observability while overseeing data infrastructure and applied machine learning. The role is approximately 70% hands-on engineering and 30% team management, with travel to customer and vendor sites up to 20% of the time.

Lead full-stack software features from discovery through deployment and refinement. Build machine-learning workflows with human review, user interfaces for operations and analytics, APIs, databases, server-side logic, and browser applications. Engage directly with business clients to define requirements, make product tradeoffs, launch new product areas, and support rollouts. The role requires startup experience, production LLM feature delivery, and a hybrid schedule with four days per week in the San Francisco office.

Lead the scaling and architecture of core backend systems, improve performance across services and data stores, and build high-throughput solutions hands-on. Establish technical foundations for AI-driven features while architecting, deploying, and operating AWS systems. The role requires deep PostgreSQL expertise, experience scaling server-side platforms, startup ownership, and flexibility to support demanding schedules.

Build and release full-stack web applications using TypeScript, Vue or React, and Node.js. Develop billing automation tools, enhance internal workflow portals, transform irregular data into useful workflows, and handle sensitive information with appropriate privacy and access controls. The role requires end-to-end feature ownership, independent problem solving, and experience in high-growth technology environments.

Build and ship reliable AI agent systems from prototype to production. Responsibilities include developing Python backend services and APIs, integrating large language models and tools, managing prompts and context, implementing evaluations, guardrails, monitoring, audit trails, and error handling, and establishing foundational systems for a growing AI team. The role requires independent ownership of AI projects and collaboration across backend, cloud infrastructure, and user-facing interfaces.