Top Tech Jobs & Startup Jobs

Build and own the engineering layer for go-to-market: instrument funnel end-to-end, maintain Attio data model, build automations, AI agents, integrations, attribution, lead scoring, and reusable systems that drive pipeline, save hours, and produce measurable adoption.

Build and run outbound motion targeting commercial real estate asset managers, lenders, and operators. Qualify leads, hold discovery calls, collaborate with GTM engineering and account executives, personalize outreach across channels, and feed market intelligence back into positioning and strategy.

Lead product strategy and execution for AI-driven asset management platform features (document management, intelligence engine, collaboration). Define roadmaps, prioritize data-heavy integrations, design dashboards and forecasting, partner with engineering and design, validate with customers, and measure success metrics to embed AI into workflows.

Lead Hypha's thought leadership by creating and scaling anchor reports, whitepapers, blog posts, and social copy. Ghostwrite for executives, collaborate with product marketing, sales, and events, and shape video/podcast concepts. Target CRE lenders and underwriters in healthcare, senior housing, and multifamily with credible, research-driven content that educates and engages.

Lead design and scaling of AI-powered backend systems for document processing, entity resolution, extraction agents, and conversational interfaces. Build resilient pipelines, orchestration, observability, and evaluation tooling; make architecture decisions, mentor engineers, and partner with product to deliver production-ready applied AI workflows.

Own the full sales cycle for an AI-native asset management platform: prospect, qualify, and close complex B2B SaaS deals with senior stakeholders. Lead discovery, build ROI-driven business cases, manage multi-stakeholder negotiations, and coordinate with Product, Engineering, and Customer Success. Shape sales playbook, ICP, and influence product roadmap.

Build end-to-end product features across Next.js frontend and Supabase/PostgreSQL backend. Implement data visualizations, search, dashboards, entity and document workflows. Partner with product and design to define scope, ship polished features, handle edge cases and error states, participate in code reviews, and apply AI-assisted development to increase productivity.

Own and architect the frontend experience for an AI-native asset management platform. Build performant, data-dense interfaces, document viewers, dashboards, and conversational search. Drive component architecture, frontend standards, performance, and mentor engineers while partnering with design and product to deliver polished, accessible user experiences.

Build and operate backend AI systems: document processing pipelines, extraction agents, entity resolution, computed attributes, and conversational query interfaces. Design reliable, observable infrastructure (queues, pipelines, orchestration) at scale, optimize prompt chains and retrieval strategies, and collaborate with product and frontend teams to expose AI capabilities.

Own and build user-facing full‑stack features (data visualization, search, dashboards, document workflows). Lead technical design, implementation, and delivery across frontend and backend, collaborate with product/design, mentor engineers, and ensure scalable, maintainable, and polished product systems in production.