Top Tech Jobs & Startup Jobs

Build and own full-stack features for an AI-native commerce platform, from technical design through production launch. Develop frontend experiences, backend systems, APIs, data flows, and integrations. Use AI tools to accelerate development, ship quickly, learn from customer feedback, and collaborate with founders and engineers on product and technical decisions. The role requires high agency, strong product sense, and comfort working in an ambiguous, fast-paced startup environment.

Staff Product Designer will define the core experience for an AI-native product, including requesting, shaping, reviewing, editing, and publishing agent-generated work. Responsibilities include inventing interaction models, setting visual and creative standards, partnering with engineering on product quality and feedback loops, shaping product strategy with founders, and rapidly prototyping ideas. The role is an on-site founding design position in New York City.

Own the customer-to-product loop for an early-stage healthcare technology company. Lead discovery with hospital executives and frontline operators, translate needs into product decisions, connect market feedback to engineering roadmaps, and build prototypes using AI-assisted tools. Shape workflows, backend systems, integrations, data models, and product analytics. The role requires hands-on product leadership, technical fluency, customer-facing judgment, and ownership in an ambiguous startup environment.

Set technical direction for a high-traffic biller-workflow platform supporting claims, appointments, payments, posting, and billing operations. Lead full-stack architecture, multi-team platform rebuilds, frontend performance, API and PostgreSQL optimization, observability, AI workflow integrations, code reviews, technical standards, and mentorship. Partner with clinicians, billing operators, product, and design while maintaining reliable enterprise production systems.

Conduct research-driven outbound prospecting to CTOs, engineering executives, and support-engineering leaders at B2B software companies. Research accounts and technical environments, personalize outreach, run email, LinkedIn, and phone campaigns, follow up with inbound leads, and book at least 10 qualified meetings monthly. Work with founders to refine messaging, targeting, sales systems, and the outbound playbook, with potential progression to Account Executive.

Build production machine learning benchmarks and evaluation systems for foundation models. Own backend infrastructure including data pipelines, execution environments, storage, and orchestration, as well as sandboxed environments for agentic evaluations. Partner with researchers, enterprise customers, and company leadership to scope and deliver technical solutions. Identify scalable evaluation patterns, communicate clearly, and operate effectively in an ambiguous, high-ownership startup environment.

Own Northern California business operations as a general manager, managing regional revenue, costs, growth, quality, team leadership, provider relationships, and P&L performance. The role involves visiting clinical sites, driving physician referrals, improving operational readiness, and partnering with product and engineering to automate workflows. The position requires hands-on execution, strategy, employee management, and experience transitioning from consulting or operating in a marketplace or startup environment.

Build the company’s growth function through AI-agent workflows, marketing experiments, paid and organic acquisition, lifecycle and partnership programs, and hands-on content production. Create videos, ads, landing pages, and campaign copy; research competitors; refine enterprise positioning; develop marketing data infrastructure; and report on pipeline, conversion, and acquisition costs. Collaborate with leadership and product teams on launches and market feedback.

Own technical delivery for key customers while spending approximately 60% of the time coding and 40% on customer engagement. Responsibilities include triaging issues, shipping production fixes, developing backend and product expertise, discovering customer needs, improving the core product, supporting demonstrations and events, and communicating independently on ambiguous work.

Lead and scale the engineering organization while remaining hands-on with production coding. Own AI strategy and multi-agent systems, establish technical architecture and platform direction, and build reliable AI evaluation and observability capabilities. The role also contributes to product priorities, user experience decisions, team growth, and enterprise software development. Candidates should have startup experience, engineering leadership experience, production AI/ML experience, and strong technical and product judgment.