Forward Deployed Product Manager
Technologies
SQL · Cursor · Replit · V0.dev · RAG · LLM · CAD/BIM · computer vision · Autotranslate AI
About Higharc
Cloud software for production homebuilders that turns a single generative home model into designs, estimates, buyer configurations, and build-ready construction documents.
Series B · 100–200 people
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
About Us Higharc is a VC-backed startup that is changing how new homes are designed and built. Join a founding team who’ve shipped products for Autodesk, Electronic Arts, Nike, and Apple. We have raised over $175M with support from top-notch venture capital firms and more than 18 strategic investors: industry leaders in construction, building products manufacturing, and distribution. Higharc is seeking a hands-on Forward Deployed Product Manager to turn a large production homebuilder's unstructured plan catalog into structured, queryable product data. This is a founding role on a brand-new Forward Deployed team. What You'll Do A homebuilder's plan library is the product data behind its entire business, and at enterprise scale that data is almost entirely unstructured. Plans live as drawing sets scattered across semi-autonomous divisions, renamed and re-numbered as they move. Nobody
More from the job description
About Us Higharc is a VC-backed startup that is changing how new homes are designed and built. Join a founding team who’ve shipped products for Autodesk, Electronic Arts, Nike, and Apple. We have raised over $175M with support from top-notch venture capital firms and more than 18 strategic investors: industry leaders in construction, building products manufacturing, and distribution. Higharc is seeking a hands-on Forward Deployed Product Manager to turn a large production homebuilder's unstructured plan catalog into structured, queryable product data. This is a founding role on a brand-new Forward Deployed team. What You'll Do A homebuilder's plan library is the product data behind its entire business, and at enterprise scale that data is almost entirely unstructured. Plans live as drawing sets scattered across semi-autonomous divisions, renamed and re-numbered as they move. Nobody can say with confidence which plans are duplicates, how many versions of a given home exist, or what actually varies between them. Higharc converts those catalogs into structured, queryable plan data and builds the analysis on top of it: searchable plan libraries with agent-enabled natural-language search, geometric similarity scoring that surfaces plans which have forked under different names, structured mapping of what varies across a library, and classification that makes consolidation decisi [... source excerpt omitted ...] actionable data. This is a role for someone who wants to be close to where the problem lives. Higharc is fully remote; you can sit anywhere in the continental U.S., with travel to client sites and company events up to 30% of the time. Expect to: Embed with HQ, regional, and division teams to run discovery—locate plan assets, establish source of truth, and document how each division represents its plans and where variation originates. Own product definition for the searchable plan library, analytics dashboard, and agent-enabled search—what a good query looks like, what a useful answer looks like, and what "structured for analysis" actually means. Tune Higharc's Autotranslate [... source excerpt omitted ...] conditions, consolidation candidates, and the purchasing leverage each one represents. Partner with Forward Deployed Engineering, the Technical Lead, QA, Intake Specialists, and Client Strategy, and present progress and tradeoffs to executive stakeholders. Capture the playbooks, artifacts, and data patterns that let the forward deployed model carry over to the next engagement. About You You're a product manager who is happiest closest to the customer, and you've learned that the fastest path to the right answer is usually to go look. You're comfortable being handed a scope that is 70% specified and a data set nobody has structured before. You can hold a conversation with a
Employer postings · Data from · Sources