Jobs at Rebar

Build backend systems that translate computer vision and machine learning outputs into interactive product experiences. Responsibilities include designing perception-to-product data contracts, shipping AI-generated geometry to a canvas, balancing accuracy with user experience, closing human correction loops, and bridging AI/ML and product engineering teams. The role requires Python and TypeScript, familiarity with PyTorch and model postprocessing, data contract versioning, and experience deploying computer vision or ML outputs in user-facing products.

Build and own full-stack product features for a collaborative browser-based canvas editor used on large construction drawings. Responsibilities include improving rendering performance, interaction latency, memory usage, client-side state, collaborative document architecture, testing, APIs, database models, and production reliability. The role requires deep React and TypeScript expertise, browser performance experience, backend fundamentals, and ownership of complex production systems. This is an onsite role in New York City.

Lead and scale Rebar’s end-to-end client implementation and onboarding function. Build repeatable workflows, playbooks, training, metrics, and operational systems while supporting customized enterprise and SMB implementations. Manage and develop Implementation Managers, partner cross-functionally with Sales, Client Success, Product, and Engineering, resolve complex onboarding issues, improve time to value and adoption, and influence product improvements. The role includes onsite client travel approximately once per month.

Outbound-focused BDR responsible for high-volume cold calling to find, qualify, and book meetings for AEs across HVAC, electrical, and plumbing. Run discovery on first calls, record call outcomes, follow a proven playbook, and ramp quickly with coaching toward a monthly qualified-meeting quota. Onsite full-time in NYC.

Partner with founders to define and ship Rebar's product roadmap. Talk to customers, prioritize high-impact problems, iterate with engineering and design, launch features and new products, and build processes for product planning and execution.

Own and build the data platform: design real-time ingestion, schemas, and pipelines for high-volume ML jobs; consolidate and cleanse messy datasets; enable agent context and developer access to analytics.

Sell Rebar's construction-focused software by owning the full sales cycle, running live demos on customers' drawings, building relationships across HVAC/electrical/plumbing trades, gathering customer feedback to shape product and pricing, and partnering with founders to drive GTM strategy.

Build and scale Rebars marketing engine across demand generation, performance channels, content, events, ABM, and partnerships. Own pipeline-driven campaigns, founder-led content, customer storytelling, sales enablement, and AI-enabled marketing workflows. Measure and optimize attribution, CAC, and funnel conversion while partnering closely with Sales, Product, and the CEO.

Design, build, and operate an internal ML platform: CLI/SDK/frontend services, IaC integrations for compute/storage/serving, observability and cost tooling, model registry/feature store management, and developer-facing APIs to accelerate ML experiment-to-production workflows.