B
Deployments (Ongoing)
Accepting applicationsBuild.inc · New York, NY
Full-Time Mid AIaiatesic
Posted
3d ago
Category
Test
Experience
Mid
Country
United States
About Build
AI for the Built World: Build has created the agentic AI stack for institutional real estate, automating complex development and acquisitions workflows 90% faster than humans to accelerate the world's most important built projects - digital infrastructure, energy, industrial - from concept to completion.
Our mission is to accelerate and amplify the world's most important built projects - inventing a better way to build through a collaboration between human experts and agentic AI.
We envision a future where the world's buildings are driven from concept to completion, autonomously. Without delays, cost, and complexity. Enabling people to deliver a magnitude more deals. To make decisions, build relationships and create.
To start, we're partnering with the world's biggest built world institutions from $T alternative assets investors, prolific developers and even governments to push the frontier of what's possible. We're backed by c-suite from Blackstone and OpenAI alongside the world's best venture capital firms.
Join us in shaping the future of the Built World and exponentially accelerate your career in the process. We welcome you to do your life's work here.
The role
We want you to be extraordinary at applying deep built-world judgment inside customer workflows, then using AI to make that work radically faster and more scalable.
This is a Deployments role. You will not be writing production code. You will be the person who carries credible domain depth into live customer environments, decides what good looks like, and turns hard-won expertise into repeatable workflows that agents can run.
You should be energised by the space between domain expertise, customer outcomes and product. Diagnosing how real projects move, judging the quality of agentic output against an institutional bar, and building the workflows that let Build deliver a magnitude more work without losing quality.
You'll own real customer outcomes, and help define what great deployment work looks like at an AI-native company in the built world.
What You'll Do
Embed with customers to map real development and acquisition workflows, including the constraints, edge cases and failure modes that only show up in live deals
Apply expert judgment on the actual work: read the diligence, pressure-test the underwriting logic, assess the entitlement risk and decide what quality looks like
Turn domain expertise into structured, repeatable workflows that agentic AI can execute reliably at scale
Configure, deploy and iterate on agentic AI systems inside production customer environments, then judge the outputs against an institutional bar
Spot where AI meets the messy physical world (zoning, entitlements, financing structures, construction timelines) and design the guardrails that keep outputs trustworthy
Close the loop with product and engineering: bring field learnings back as clear requirements, not vague feedback
Own customer outcomes end to end: adoption, reliability, speed and the quality of the work delivered
Operate independently with high judgment in undefined environments; no playbooks, no guardrails
Example projects
Owning a flagship customer deployment end to end: mapping their diligence workflow, configuring the agents, judging the output and getting the team to trust and adopt it
Turning a messy, expert-led process (site selection, entitlement review, design coordination) into a structured workflow that agents can run repeatably
Sitting in live deal sessions, identifying where agentic output breaks against an institutional bar and driving the fixes through to shipped improvements
Validating a new use case or vertical expansion in the field before it is formally productized
Building the quality framework for a workflow: what good looks like, where it fails and the guardrails that keep it reliable
Who We're Looking For
We're looking for people with real depth across the building lifecycle: development, site selection, diligence, entitlement, design coordination, delivery, operations or infrastructure. You should understand how real projects move, where they break, and what quality looks like to serious institutional customers.
You do not need to be a software engineer. You do need to be AI-native: excellent at structuring messy inputs, judging outputs, designing repeatable workflows, spotting failure modes, and translating domain expertise into processes agents can execute.
You might be a fit if
You have credible domain depth across the building lifecycle in REPE, development, infrastructure or a related built-world field
You've delivered real projects or workflows in an operating capacity and know what institutional quality looks like
You're AI-native: fluent at structuring messy inputs, judging outputs and designing repeatable workflows
You have an operator temperament and a bias toward execution
You're comfortable being the domain authority on-site, earning trust with senior operators and executives
You move fast, hold a high bar and own outcomes through to completion
You're energised by ambiguity and care about AI, software and the future of the built world
This probably isn't you if
You need playbooks and guardrails to operate
You can run a known process but cannot judge quality or design a new workflow
You're a generalist without genuine built-world depth
Bonus points
Prior architecture, design or planning experience alongside your built-world background
Experience deploying software or new tools into institutional real estate teams
Experience as a founder, GM or early operator at a high-growth startup
Existing relationships across REPE, institutional development, infrastructure or energy
What we offer
Radical autonomy, real ownership. High standards. Minimal bureaucracy. You own problems end-to-end, choose how the work gets done, and are accountable for exceptional outcomes. Ownership is matched with meaningful, generous equity.
An accelerated founder's track. Build is for builders. If you want to learn what it actually takes to create a generational company (product judgment, execution speed, and accountability) there is no faster path than building from zero when everything is for grabs.
Elite teammates, uncompromising bar. You work with people who think clearly, execute relentlessly, and take full ownership. The team you build becomes the company you build. Growth here is not just professional; it reshapes how you operate and in return how Build operates.
Perpetual adventure. We attract the strongest of the strange. Extraordinary experiences are part of the culture - from the food we eat together to the space we occupy. Intensity is intentional.
Shape the built world. We are rebuilding how the physical world gets made. Our software doesn't live in the abstract - it turns into real projects breaking ground because we exist. We work with the largest institutions, push the frontier of AI, and watch our decisions translate directly into the world around us.
Compensation Range: $120K - $240K
Show more Show less
AI for the Built World: Build has created the agentic AI stack for institutional real estate, automating complex development and acquisitions workflows 90% faster than humans to accelerate the world's most important built projects - digital infrastructure, energy, industrial - from concept to completion.
Our mission is to accelerate and amplify the world's most important built projects - inventing a better way to build through a collaboration between human experts and agentic AI.
We envision a future where the world's buildings are driven from concept to completion, autonomously. Without delays, cost, and complexity. Enabling people to deliver a magnitude more deals. To make decisions, build relationships and create.
To start, we're partnering with the world's biggest built world institutions from $T alternative assets investors, prolific developers and even governments to push the frontier of what's possible. We're backed by c-suite from Blackstone and OpenAI alongside the world's best venture capital firms.
Join us in shaping the future of the Built World and exponentially accelerate your career in the process. We welcome you to do your life's work here.
The role
We want you to be extraordinary at applying deep built-world judgment inside customer workflows, then using AI to make that work radically faster and more scalable.
This is a Deployments role. You will not be writing production code. You will be the person who carries credible domain depth into live customer environments, decides what good looks like, and turns hard-won expertise into repeatable workflows that agents can run.
You should be energised by the space between domain expertise, customer outcomes and product. Diagnosing how real projects move, judging the quality of agentic output against an institutional bar, and building the workflows that let Build deliver a magnitude more work without losing quality.
You'll own real customer outcomes, and help define what great deployment work looks like at an AI-native company in the built world.
What You'll Do
Embed with customers to map real development and acquisition workflows, including the constraints, edge cases and failure modes that only show up in live deals
Apply expert judgment on the actual work: read the diligence, pressure-test the underwriting logic, assess the entitlement risk and decide what quality looks like
Turn domain expertise into structured, repeatable workflows that agentic AI can execute reliably at scale
Configure, deploy and iterate on agentic AI systems inside production customer environments, then judge the outputs against an institutional bar
Spot where AI meets the messy physical world (zoning, entitlements, financing structures, construction timelines) and design the guardrails that keep outputs trustworthy
Close the loop with product and engineering: bring field learnings back as clear requirements, not vague feedback
Own customer outcomes end to end: adoption, reliability, speed and the quality of the work delivered
Operate independently with high judgment in undefined environments; no playbooks, no guardrails
Example projects
Owning a flagship customer deployment end to end: mapping their diligence workflow, configuring the agents, judging the output and getting the team to trust and adopt it
Turning a messy, expert-led process (site selection, entitlement review, design coordination) into a structured workflow that agents can run repeatably
Sitting in live deal sessions, identifying where agentic output breaks against an institutional bar and driving the fixes through to shipped improvements
Validating a new use case or vertical expansion in the field before it is formally productized
Building the quality framework for a workflow: what good looks like, where it fails and the guardrails that keep it reliable
Who We're Looking For
We're looking for people with real depth across the building lifecycle: development, site selection, diligence, entitlement, design coordination, delivery, operations or infrastructure. You should understand how real projects move, where they break, and what quality looks like to serious institutional customers.
You do not need to be a software engineer. You do need to be AI-native: excellent at structuring messy inputs, judging outputs, designing repeatable workflows, spotting failure modes, and translating domain expertise into processes agents can execute.
You might be a fit if
You have credible domain depth across the building lifecycle in REPE, development, infrastructure or a related built-world field
You've delivered real projects or workflows in an operating capacity and know what institutional quality looks like
You're AI-native: fluent at structuring messy inputs, judging outputs and designing repeatable workflows
You have an operator temperament and a bias toward execution
You're comfortable being the domain authority on-site, earning trust with senior operators and executives
You move fast, hold a high bar and own outcomes through to completion
You're energised by ambiguity and care about AI, software and the future of the built world
This probably isn't you if
You need playbooks and guardrails to operate
You can run a known process but cannot judge quality or design a new workflow
You're a generalist without genuine built-world depth
Bonus points
Prior architecture, design or planning experience alongside your built-world background
Experience deploying software or new tools into institutional real estate teams
Experience as a founder, GM or early operator at a high-growth startup
Existing relationships across REPE, institutional development, infrastructure or energy
What we offer
Radical autonomy, real ownership. High standards. Minimal bureaucracy. You own problems end-to-end, choose how the work gets done, and are accountable for exceptional outcomes. Ownership is matched with meaningful, generous equity.
An accelerated founder's track. Build is for builders. If you want to learn what it actually takes to create a generational company (product judgment, execution speed, and accountability) there is no faster path than building from zero when everything is for grabs.
Elite teammates, uncompromising bar. You work with people who think clearly, execute relentlessly, and take full ownership. The team you build becomes the company you build. Growth here is not just professional; it reshapes how you operate and in return how Build operates.
Perpetual adventure. We attract the strongest of the strange. Extraordinary experiences are part of the culture - from the food we eat together to the space we occupy. Intensity is intentional.
Shape the built world. We are rebuilding how the physical world gets made. Our software doesn't live in the abstract - it turns into real projects breaking ground because we exist. We work with the largest institutions, push the frontier of AI, and watch our decisions translate directly into the world around us.
Compensation Range: $120K - $240K
Show more Show less