前向部署工程师
Forward Deployed Engineer
ABOUT US
Higharc 是一家由风险投资支持的初创公司，正在改变新住宅的设计和建造方式。加入一个曾为 Autodesk、Electronic Arts、Nike 和 Apple 打造产品的创始团队。我们已获得超过 17500 万美元的资金，得到了顶级风险投资公司以及 18 家以上战略投资者的支持：包括建筑、建材制造和分销行业的行业领袖。
Higharc 正在寻找一名前移部署工程师，作为我们新前移部署团队的创始角色之一加入。你将与一家大型生产型住宅开发商紧密合作，将设计图纸转化为可操作的数据。
WHAT YOU'LL DO
住宅开发商的图纸库是其整个业务背后的产品数据——在企业规模下，这些数据几乎完全是非结构化的。图纸以分散在半自主部门中的图集形式存在，随着它们的流转会被重命名和重新编号。没有人能确定哪些图纸是重复的，某个特定房屋有多少个版本，或者它们之间实际有哪些差异。
Higharc 将这些目录转换为结构化、可查询的图纸数据，并在其基础上构建分析功能：可搜索的图纸库，支持代理的自然语言搜索，基于几何相似性的评分系统，可以发现以不同名称分叉的图纸，结构化的库中变化部分映射，以及能够实现合并决策的分类功能。你将负责构建最终交付到现场的功能。
这个职位适合那些希望在客户面前处理真实、混乱数据的人，而不是在两个抽象层之后。
预期工作内容：
- 与总部、区域和部门团队嵌入式协作，进行技术调研——分析图纸资产，评估数据质量，并逆向工程每个部门的图纸集如何编码变化
- 构建并交付可搜索的图纸库、分析仪表盘和代理支持的自然语言搜索——从原始图纸摄入到结构化、可查询输出的全流程负责
- 调整和扩展 Higharc 的 Autotranslate AI 功能，以识别、分类并把图纸转换为数据
- 直接与数据打交道——编写 ETL 流程，使用内部 API 进行开发，并直接将可用功能交付给用户，而不是转交一份规格说明
- 构建几何相似性评分和分类模型，以发现以不同名称分叉的图纸
- 达成交付里程碑——覆盖目标、数据字段完整性、QA 错误阈值——并指出其中的权衡取舍
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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 Forward Deployed Engineer to join as one of the founding roles on our new Forward Deployed team. You'll work embedded alongside a large production homebuilder to turn plans into actionable data.
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 decisions possible. You'll build what gets shipped in the field.
This role is for someone who wants to build against real, messy data in front of the customer, not two abstractions removed from it.
Expect to:
- Embed with HQ, regional, and division teams to run technical discovery — profile plan assets, assess data quality, and reverse-engineer how each division's drawing sets encode variation
- Build and ship the searchable plan library, analytics dashboard, and agent-enabled natural-language search — own the pipeline from raw plan ingestion through structured, queryable output
- Tune and extend Higharc's Autotranslate AI capabilities to identify, categorize, and translate floorplans into data
- Work hands-on with the data — write the ETL, build against internal APIs, and ship working capability back to users directly rather than handing off a spec
- Build geometric similarity scoring and classification models that surface plans which have forked under different names
- Meet delivery milestones — coverage targets, data-field completeness, QA error thresholds — and flag tradeoffs in real time when schedule pressure argues against them
- Instrument and quantify results: redundancy across a catalog, dimensional spread on repeated conditions, consolidation candidates, and the purchasing leverage each one represents
- Partner with the Forward Deployed Product Manager, Technical Lead, QA, Intake Specialists, and Client Strategy, and present technical progress and tradeoffs to executive stakeholders
- Build the repeatable version — turn one-off scripts and data patterns into reusable tooling that lets the forward deployed model work on the next engagement, not just the current one
- Travel to client sites and company events up to 30% of the time.
ABOUT YOU
You're happiest closest to the customer, and you've learned that the fastest path to the right answer is usually to go build it and see. You're comfortable being handed a scope that is 70% specified and a data set nobody has structured before. You can sit with an architect reviewing how a plan set is drawn in the morning and ship the pipeline that tests your hypothesis about it in the afternoon.
You know the difference between a demo and a deliverable, and you build the one the situation actually calls for.
You have:
- 5+ years of engineering experience, including significant time in customer-facing or deployed settings — forward deployed engineering, solutions engineering, technical consulting, or professional services
- Strong hands-on data fluency: SQL, scripting against APIs, comfort in notebooks, and a habit of interrogating a data set yourself rather than requesting a pull
- Experience prototyping to validate ideas quickly using tools like Cursor, Replit, or V0.dev http://V0.dev
- A track record building structured data models, taxonomies, or classification schemes and getting a system to actually run on them in production
- Strong judgment about data quality — what level of accuracy a decision requires, and what it costs to get there
- Excellent written and verbal communication, including with executive stakeholders who have limited time and no patience for status without substance
- Willingness to travel to client sites and company events up to 30% of the time
A major plus if you also bring:
- Background in residential construction, homebuilding, architecture, or AEC technology — especially fluency with plan sets, elevations, options, and how builders manage plan variation
- Experience with agent-based or natural-language search over structured data, RAG systems, or LLM-powered analytics
- Exposure to geometric or spatial data — CAD/BIM, computer vision on drawings, similarity and clustering methods
- Experience working with large, messy, enterprise-scale data migrations or ingestion programs
- Having built a function from zero: first hire into a new team, new practice, or new delivery model
WORKING AT HIGHARC
Remote work and travel: Our company is entirely remote, and has been since we were founded in 2018. Remote work means more time with family, less time commuting, and the flexibility to blend work and life. We value in-person collaboration and asynchronous deep-work time, which is why we schedule regular team meet-ups in our hubs across the US and, depending on the role, prioritize hiring in those hubs. If your role requires frequent travel beyond pre-scheduled team meet ups, we will represent that to the best of our ability as early as possible in the interview process.
Compensation and benefits: Higharc offers competitive salaries with significant equity, in a fast-growing, well-funded company. We provide comprehensive medical, dental, and vision coverage, with flexible PTO, and meaningful maternity/paternity leave to all U.S based employees that are full-time. You'll also have access to other big-company benefits such like short and long-term disability plans and a 401K. We also provide a stipend to create the ideal home office and support ongoing L&D.
Please note: we are seeing an uptick of fraudulent recruiting activity claiming to be associated with Higharc. All communication and outreach from our in-house team will come from an @higharc.com email address.