AI Deployment Specialist (Remote)
for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must not repeat job title as heading. We need to include sections only when posting has real specific content. We need to preserve all substantive info, no boilerplate. Remove cookie/navigation/legal/EEO etc. Also remove duplicated lines, application instructions.
We need to parse the job description.
Content:
- Intro paragraph: "Job Description Job Description Procore is hiring an AI Deployment Specialist to take our AI products into the field — deploying agentic solutions alongside construction teams, architecting custom builds, and driving adoption and measurable value inside strategic and enterprise accounts. As an AI Deployment Specialist, you are the person who makes Procore's AI real for customers. You partner directly with construction teams to deploy agentic solutions, architect custom builds against their workflows, and drive usage from first pilot through full value realization. You sit at the intersection of deep product knowledge, hands-on technical ability, and genuine construction domain fluency — translating an AI vision into systems that hold up on live projects. You'll work shoulder-to-shoulder with forward-deployed engineers, account managers, customer success engineers, and solutions engineers to move use cases to adoption, and you'll bring what you learn in the field back to Product and Engineering to shape where the product goes next. Expect regular customer travel to lead workshops, hackathons, and executive reviews. This position reports into the Director of AI Solutions and is remote, with travel expected. We're looking for someone to join us immediately."
That's about the role.
Then "What You'll Do" list of responsibilities (multiple bullet-like sentences). We'll put under Responsibilities heading.
Then "What we're looking for" list of qualifications (Bachelor's degree, 5+ years, hands-on technical ability, communication skills, program/project management, curious, etc). Also "Desired, but not required: direct construction industry experience, familiarity with the Procore platform, and prior work in a forward-deployed, field-facing, or customer-embedded technical role."
Then "Additional Information" includes Base Pay Range, On Target Earning Range, equity/bonus, etc. Also location-specific note for Los Angeles County (unincorporated) candidates about fair chance. That's legal boilerplate? Might be considered EEO/equal-opportunity? It's about fair chance hiring; might be considered legal boilerplate. The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. That likely includes the fair chance initiative text. So we should drop that.
Also "Additional Information Base Pay Range ..." we need to include Pay section if posting actually states them. Yes they have Base Pay Range and On Target Earning Range. Also mention equity compensation and/or bonus incentive compensation. So we should include Pay section.
Schedule? Not mentioned besides travel expectations. No explicit schedule (full-time, part-time). Not given. So we should not create Schedule section.
Benefits? Not mentioned besides equity/bonus. Could be considered benefits? The instruction says only create Benefits section if posting actually states them. It mentions "This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation." That's compensation, not benefits like health insurance. Might still be considered compensation. We could include under Pay. Or we could create Benefits section for equity/bonus? But they said Benefits, Pay, Schedule as possible headings. Since they gave equity/bonus, maybe treat as Benefits? However they said "never create Pay/Schedule/Benefits sections unless the posting actually states them." They have pay info, so Pay section is appropriate. Benefits not explicitly stated (no health, 401k, etc). So we skip Benefits.
Thus sections: About the role (maybe we can use "About the role" heading), Responsibilities, Requirements (or Qualifications), Skills? The posting includes qualifications and skills mixed. We could combine into Requirements (or Qualifications). The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can choose which to use. We need to avoid filler. We have content for About the role (intro). Responsibilities (What You'll Do). Requirements (Bachelor's degree, 5+ years, etc). Skills (maybe technical ability, communication, program management, etc). But we could also put all under Requirements. However they want us to prefer a few substantive sections over many thin ones. So we could combine qualifications and skills into one section, maybe "Requirements". Or we could have "Requirements" for education/experience, and "Skills" for technical/communication etc. That would be two sections, both substantive. Let's do that.
Thus sections:
- About the role
with paragraph(s) from intro.
- Responsibilities
with - items from "What You'll Do".
-
Requirements
with - for Bachelor's degree, 5+ years experience, etc. Also maybe include "Desired, but not required:" as separate? Could be included as optional but we can include as li with note.
-
Skills
with - for hands-on technical ability, communication skills, program/project management discipline, curious/creative/determined, eagerness to learn, adaptability, proactive initiative, willingness to travel up to 50%.
-
Pay
with for Base Pay Range and On Target Earning Range, plus note about equity/bonus.
We must not include any boilerplate like "Additional Information". We'll just put the pay details.
Check for duplicated lines: The intro had "Job Description Job Description" duplicate; we should just output once.
We must preserve all substantive info. Let's extract details.
Intro paragraph content (we need to keep all info):
"Procore is hiring an AI Deployment Specialist to take our AI products into the field — deploying agentic solutions alongside construction teams, architecting custom builds, and driving adoption and measurable value inside strategic and enterprise accounts. As an AI Deployment Specialist, you are the person who makes Procore's AI real for customers. You partner directly with construction teams to deploy agentic solutions, architect custom builds against their workflows, and drive usage from first pilot through full value realization. You sit at the intersection of deep product knowledge, hands-on technical ability, and genuine construction domain fluency — translating an AI vision into systems that hold up on live projects. You'll work shoulder-to-shoulder with forward-deployed engineers, account managers, customer success engineers, and solutions engineers to move use cases to adoption, and you'll bring what you learn in the field back to Product and Engineering to shape where the product goes next. Expect regular customer travel to lead workshops, hackathons, and executive reviews. This position reports into the Director of AI Solutions and is remote, with travel expected. We're looking for someone to join us immediately."
We'll put that in
.
Responsibilities list (from "What You'll Do"):
- Deliver complex programs of agentic AI solutions from requirements through production, translating customer needs into working systems that perform in the field.
- Lead AI deployments alongside construction project teams, driving adoption through technical depth, hands-on exception handling, sharp product positioning, and a deep understanding of construction workflows.
- Lead business architecture reviews to strategize, scope, and deliver custom AI solutions mapped to each customer's operating model.
- Engage directly with customer construction data — project records, documents, RFIs, submittals, drawings, schedules, and financials — to assess data readiness and design the pipelines that feed AI. Structure and connect disparate sources into knowledge graphs that ground agentic solutions in accurate, retrievable context, and put in place the data-quality and governance practices that keep them reliable at scale.
- Build simple to moderately complex AI solutions yourself, drawing on hands-on technical ability and an expert, end-to-end command of the Procore product.
- Lead strategic conversations with key decision-makers, helping them shape and realize their AI vision and scale it across their construction organization.
- Travel to customer sites to lead workshops, hackathons, and executive reviews, communicating Procore's AI vision — both where it is today and where it's headed.
- Partner closely with forward-deployed engineers to move customer use cases from concept to adoption and measurable value.
- Work cross-functionally with account managers, customer success engineers, and solutions engineers to position AI products for growth across strategic and enterprise accounts.
- Partner with Product and Engineering to relay customer experience, resolve product issues, and close the gaps between what customers need and what the product does today.
We'll put each as
- .
Requirements list (from "What we're looking for"):
- Bachelor's degree in construction management, civil engineering, another engineering discipline, business administration, data science, computer science, or a related field.
- 5+ years in customer success, AI solutions, solutions engineering, construction or project management, project engineering, or a similar capacity that required regular, direct interaction with the construction industry.
- Hands-on technical ability: comfort building simple to moderately complex AI solutions with modern tooling (LLMs, agents, prompting, search/retrieval, knowledge graphs) and working with data (SQL, APIs, and data pipelines) to structure and reconcile information across systems.
- Exceptionally strong communication skills, with the ability to operate comfortably and independently with senior construction decision-makers.
- Strong program and project management discipline — able to run multiple concurrent workstreams and drive cross-functional execution without formal authority.
- Curious, creative, and determined — the kind of person who finds a way when the challenge is hard and the solution isn't obvious.
- A genuine eagerness to learn, both the technology and the construction domain.
- High adaptability and proactive initiative to navigate ambiguous environments, manage trade-offs, and solve complex business problems.
- Willingness to travel to customer sites up to 50% for onsite workshops, hackathons, and executive reviews.
- Desired, but not required: direct construction industry experience, familiarity with the Procore platform, and prior work in a forward-deployed, field-facing, or customer-embedded technical role.
We could split: Requirements (education + experience) and Skills (technical ability, communication, program management, curious, eagerness, adaptability, travel). But the "hands-on technical ability" etc are skills. However the list includes many items that could be considered skills. Let's follow the instruction: Prefer a few substantive sections over many thin ones. So maybe combine all into Requirements. But they gave separate headings for Requirements, Qualifications, Skills. We could use Requirements for education/experience, Skills for the rest. That seems reasonable.
Thus:
Requirements (
Requirements
) with:
- Bachelor's degree in construction management, civil engineering, another engineering discipline, business administration, data science, computer science, or a related field.
- 5+ years in customer success, AI solutions, solutions engineering, construction or project management, project engineering, or a similar capacity that required regular, direct interaction with the construction industry.
Skills (Skills
) with:
- Hands-on technical ability: comfort building simple to moderately complex AI solutions with modern tooling (LLMs, agents, prompting, search/retrieval, knowledge graphs) and working with data (SQL, APIs, and data pipelines) to structure and reconcile information across systems.
- Exceptionally strong communication skills, with the ability to operate comfortably and independently with senior construction decision-makers.
- Strong program and project management discipline — able to run multiple concurrent workstreams and drive cross-functional execution without formal authority.
- Curious, creative, and determined — the kind of person who finds a way when the challenge is hard and the solution isn't obvious.
- A genuine eagerness to learn, both the technology and the construction domain.
- High adaptability and proactive initiative to navigate ambiguous environments, manage trade-offs, and solve complex business problems.
- Willingness to travel to customer sites up to 50% for onsite workshops, hackathons, and executive reviews.
- Desired, but not required: direct construction industry experience
Requirements
with- for Bachelor's degree, 5+ years experience, etc. Also maybe include "Desired, but not required:" as separate? Could be included as optional but we can include as li with note.
-
Skills
with- for hands-on technical ability, communication skills, program/project management discipline, curious/creative/determined, eagerness to learn, adaptability, proactive initiative, willingness to travel up to 50%.
-
Pay
withfor Base Pay Range and On Target Earning Range, plus note about equity/bonus. We must not include any boilerplate like "Additional Information". We'll just put the pay details. Check for duplicated lines: The intro had "Job Description Job Description" duplicate; we should just output once. We must preserve all substantive info. Let's extract details. Intro paragraph content (we need to keep all info): "Procore is hiring an AI Deployment Specialist to take our AI products into the field — deploying agentic solutions alongside construction teams, architecting custom builds, and driving adoption and measurable value inside strategic and enterprise accounts. As an AI Deployment Specialist, you are the person who makes Procore's AI real for customers. You partner directly with construction teams to deploy agentic solutions, architect custom builds against their workflows, and drive usage from first pilot through full value realization. You sit at the intersection of deep product knowledge, hands-on technical ability, and genuine construction domain fluency — translating an AI vision into systems that hold up on live projects. You'll work shoulder-to-shoulder with forward-deployed engineers, account managers, customer success engineers, and solutions engineers to move use cases to adoption, and you'll bring what you learn in the field back to Product and Engineering to shape where the product goes next. Expect regular customer travel to lead workshops, hackathons, and executive reviews. This position reports into the Director of AI Solutions and is remote, with travel expected. We're looking for someone to join us immediately." We'll put that in
. Responsibilities list (from "What You'll Do"): - Deliver complex programs of agentic AI solutions from requirements through production, translating customer needs into working systems that perform in the field. - Lead AI deployments alongside construction project teams, driving adoption through technical depth, hands-on exception handling, sharp product positioning, and a deep understanding of construction workflows. - Lead business architecture reviews to strategize, scope, and deliver custom AI solutions mapped to each customer's operating model. - Engage directly with customer construction data — project records, documents, RFIs, submittals, drawings, schedules, and financials — to assess data readiness and design the pipelines that feed AI. Structure and connect disparate sources into knowledge graphs that ground agentic solutions in accurate, retrievable context, and put in place the data-quality and governance practices that keep them reliable at scale. - Build simple to moderately complex AI solutions yourself, drawing on hands-on technical ability and an expert, end-to-end command of the Procore product. - Lead strategic conversations with key decision-makers, helping them shape and realize their AI vision and scale it across their construction organization. - Travel to customer sites to lead workshops, hackathons, and executive reviews, communicating Procore's AI vision — both where it is today and where it's headed. - Partner closely with forward-deployed engineers to move customer use cases from concept to adoption and measurable value. - Work cross-functionally with account managers, customer success engineers, and solutions engineers to position AI products for growth across strategic and enterprise accounts. - Partner with Product and Engineering to relay customer experience, resolve product issues, and close the gaps between what customers need and what the product does today. We'll put each as
- .
Requirements list (from "What we're looking for"):
- Bachelor's degree in construction management, civil engineering, another engineering discipline, business administration, data science, computer science, or a related field.
- 5+ years in customer success, AI solutions, solutions engineering, construction or project management, project engineering, or a similar capacity that required regular, direct interaction with the construction industry.
- Hands-on technical ability: comfort building simple to moderately complex AI solutions with modern tooling (LLMs, agents, prompting, search/retrieval, knowledge graphs) and working with data (SQL, APIs, and data pipelines) to structure and reconcile information across systems.
- Exceptionally strong communication skills, with the ability to operate comfortably and independently with senior construction decision-makers.
- Strong program and project management discipline — able to run multiple concurrent workstreams and drive cross-functional execution without formal authority.
- Curious, creative, and determined — the kind of person who finds a way when the challenge is hard and the solution isn't obvious.
- A genuine eagerness to learn, both the technology and the construction domain.
- High adaptability and proactive initiative to navigate ambiguous environments, manage trade-offs, and solve complex business problems.
- Willingness to travel to customer sites up to 50% for onsite workshops, hackathons, and executive reviews.
- Desired, but not required: direct construction industry experience, familiarity with the Procore platform, and prior work in a forward-deployed, field-facing, or customer-embedded technical role.
We could split: Requirements (education + experience) and Skills (technical ability, communication, program management, curious, eagerness, adaptability, travel). But the "hands-on technical ability" etc are skills. However the list includes many items that could be considered skills. Let's follow the instruction: Prefer a few substantive sections over many thin ones. So maybe combine all into Requirements. But they gave separate headings for Requirements, Qualifications, Skills. We could use Requirements for education/experience, Skills for the rest. That seems reasonable.
Thus:
Requirements (
Requirements
) with: - Bachelor's degree in construction management, civil engineering, another engineering discipline, business administration, data science, computer science, or a related field. - 5+ years in customer success, AI solutions, solutions engineering, construction or project management, project engineering, or a similar capacity that required regular, direct interaction with the construction industry. Skills (Skills
) with: - Hands-on technical ability: comfort building simple to moderately complex AI solutions with modern tooling (LLMs, agents, prompting, search/retrieval, knowledge graphs) and working with data (SQL, APIs, and data pipelines) to structure and reconcile information across systems. - Exceptionally strong communication skills, with the ability to operate comfortably and independently with senior construction decision-makers. - Strong program and project management discipline — able to run multiple concurrent workstreams and drive cross-functional execution without formal authority. - Curious, creative, and determined — the kind of person who finds a way when the challenge is hard and the solution isn't obvious. - A genuine eagerness to learn, both the technology and the construction domain. - High adaptability and proactive initiative to navigate ambiguous environments, manage trade-offs, and solve complex business problems. - Willingness to travel to customer sites up to 50% for onsite workshops, hackathons, and executive reviews. - Desired, but not required: direct construction industry experience
- for hands-on technical ability, communication skills, program/project management discipline, curious/creative/determined, eagerness to learn, adaptability, proactive initiative, willingness to travel up to 50%.
-