Forward Deployed Engineer

Higharc
California, USA · San Francisco, CA, USA · North Carolina, USA · Austin, TX, USA · Durham, NC, USA · New York, NY, USAFull-timePosted Sep 18, 2026

About the role

Higharc

Software Engineering

Full-time

California, USA

San Francisco, CA, USA

North Carolina, USA

Austin, TX, USA

Durham, NC, USA

New York, NY, USA

5, NC, USA

1, NC, USA

2, NC, USA

3, NC, USA

Campo, CA, USA

Capay, CA, USA

Posted on Sep 18, 2026

Apply now

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

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.

Apply now

See more open positions at Higharc

Responsibilities

  • Embed with HQ, regional, and division teams to run technical discovery
  • Build and ship the searchable plan library and analytics dashboard
  • Tune and extend Higharc's Autotranslate AI capabilities
  • Write the ETL and build against internal APIs
  • Build geometric similarity scoring and classification models
  • Meet delivery milestones and flag tradeoffs in real time
  • Instrument and quantify results
  • Partner with the Forward Deployed Product Manager and present technical progress

Qualifications

  • 5+ years of engineering experience in customer-facing settings
  • Strong hands-on data fluency: SQL, scripting against APIs
  • Experience prototyping to validate ideas quickly
  • Track record building structured data models and getting systems to run in production
  • Strong judgment about data quality
  • Excellent written and verbal communication skills

Benefits

  • Competitive salaries with significant equity
  • Comprehensive medical, dental, and vision coverage
  • Flexible PTO
  • Meaningful maternity/paternity leave
  • Short and long-term disability plans
  • 401K
  • Stipend to create the ideal home office
  • Support for ongoing learning and development

Skills mentioned

PythonSQLAPI IntegrationETLData PipelinesData AnalysisDatabase DesignMachine LearningRetrieval-Augmented GenerationAI Agents

About Higharc

Javelin Venture Partners was founded by former entrepreneurs with a first-hand appreciation of what it takes to develop a company from concept to thriving enterprise. We have been in your chair…resource constrained and exhausted, but driving forward with full confidence that your start-up has incredible potential to change the world. We’re here to help – providing capital, guidance, access to an expansive network and most importantly, entrepreneurial DNA. We invest in early-stage tech companies with incredible potential, managed by teams of energetic, trustworthy and capable leaders. Key focus areas include cloud, big data, enterprise software, SaaS, e-commerce, mobile, health/wellness and digital media. We look for advanced innovations, where the addressable market size is substantial and strong competitive advantages exist. Our typical investment is between $250K to $4 million, with reserves for follow-on investments. Our office is located in San Francisco, but we invest throughout the world.

Venture Capital and Private Equity Principals2-10 employeesSan Francisco, California