Jobs at Procore Technologies

Define the multi-year technical vision for Procore’s mobile platform across iOS, Android, cross-platform shared logic, GraphQL, backend, and cloud services. Establish architecture standards, shared patterns, offline sync, CI/CD, observability, and security practices. Lead major design decisions, mentor senior engineers, partner with executives and product teams, prototype high-risk solutions, write production code, and drive organization-wide technical strategy and execution.

Leads the AI and platform engineering team responsible for Procore’s enterprise Claude rollout, MCP roadmap, AI workflow infrastructure, and Atlassian and Slack administration. Owns platform roadmaps, adoption, change management, governance participation, go-live readiness, vendor and contractor engagements, and team development. Partners with Security, GRC, Legal, Identity, Enterprise AI, and business stakeholders to operate enterprise AI and collaboration platforms securely and effectively.

Leads a Public Sector/SLED sales team, driving quota attainment, territory planning, forecasting, GTM execution, team development, and enterprise customer growth. Manages C-level relationships, negotiates complex contracts, closes six- to seven-figure SaaS deals, and partners with enablement and internal stakeholders to improve sales performance. The role requires 25%–50% travel to offices and clients.

Design, build, deploy, and operate secure MCP servers and connectors linking Claude with enterprise systems such as Salesforce, Workday, NetSuite, and Databricks. Own production integrations, authentication, authorization, schemas, testing, observability, infrastructure, releases, incident response, and on-call operations. Partner with architecture, security, GRC, and business-system teams to establish reliable enterprise AI integrations.

Serves as technical lead for the company’s global corporate network across on-premises, data center, and multi-cloud environments. Owns network architecture, roadmaps, SASE/ZTNA evolution, Zero Trust integration, cloud connectivity, automation, and infrastructure-as-code initiatives. Leads critical incident resolution, vendor evaluations, build-versus-buy decisions, and architectural remediation. Partners with Security, Identity, Platform Engineering, and IT leadership while mentoring network engineers and establishing operational standards.

Leads strategy, architecture, governance, and delivery for Finance, HR, Legal, and Procurement technology platforms. Partners with executive stakeholders to create roadmaps, manages SOX and change controls, builds integration engineering capabilities, drives automation and AI adoption, supports M&A system integration, and restructures teams into cross-trained delivery pods.

Build, optimize, and deploy LLM-powered agents, AI workflows, and production data pipelines for enterprise construction clients. Lead implementations from discovery through production, partner with customer technical teams, translate operational challenges into AI strategies, and deliver measurable business value. The role requires strong machine learning and software engineering skills, customer-facing technical delivery, and travel to client sites exceeding 50% of the time.

Own full-cycle, high-volume recruiting for North American Sales Development Representative roles, targeting 5–7 hires monthly. Source candidates through inbound applications and outbound tools, conduct screening, coordinate interviews, partner with hiring managers and Sales Enablement, extend offers, support early-career recruiting, and maintain accurate pipeline metrics across recruiting systems.

Provides technical leadership for designing, building, and operating secure, reliable, scalable AI products. Leads generative AI, agentic, retrieval, and evaluation systems from concept through production; defines architecture and engineering standards; evaluates emerging models and frameworks; partners cross-functionally; mentors engineers; and resolves complex technical risks and trade-offs.

Design and maintain a high-performance Go and PostgreSQL document-rendering microservice at scale. Modernize a Ruby on Rails monolith into modular services, define architectural standards, improve reliability and observability, and lead testing, debugging, documentation, and root-cause analysis. Collaborate with infrastructure, DevOps, product, and architecture teams on deployment and automation while mentoring engineers and influencing technical direction.

Leads and mentors a global software engineering team, overseeing career development, architecture, roadmaps, delivery, software quality, operational excellence, incident response, KPIs, and SLOs. Partners with Product, Design, Support, QA, and engineering leadership to deliver scalable, reliable web-based products and cross-team initiatives.

Build and improve AI evaluation systems, including LLM judges, production tracing, goldsets, benchmarks, data pipelines, and agentic feedback loops. Partner with data and ML engineers to improve evaluation accuracy, cost, runtime, and reliability. Contribute to architecture and code reviews while mentoring engineers and communicating evaluation results to teams.

Leads stakeholder discovery, process mapping, workflow redesign, data analysis, and requirements development across IT and business initiatives. Translates ambiguous problems into actionable requirements, user stories, acceptance criteria, and measurable improvements. Partners with technical teams, project managers, process owners, and vendors to evaluate options, support testing and implementation, and assess outcomes. Maintains process documentation, communicates risks and decisions, and drives operational readiness and continuous improvement.

Develops authoritative B2B content strategies and connected web journeys that educate construction professionals and drive pipeline. Responsibilities include writing articles, using search and performance data to guide content decisions, optimizing for SEO and AI search, collaborating cross-functionally, conducting subject matter expert interviews, measuring pipeline impact, and using AI tools responsibly to improve efficiency.

Acquires new SMB and mid-sized customers through prospecting, inbound lead follow-up, qualification, consultative solution selling, negotiation, and closing. The role develops territories, manages Salesforce opportunities and forecasts, researches competitors, builds prospect relationships, and achieves sales targets. It also generates repeat business, referrals, and references while maintaining accurate pipeline and activity reporting.

Lead the architecture and technical evolution of AI-native applications, including agentic systems, RAG pipelines, LLM infrastructure, data pipelines, observability, security, and developer tooling. Establish scalable cloud-native patterns, governance, API standards, and compliance controls while partnering with product, engineering, and research teams. Mentor senior engineers, evaluate emerging AI technologies, and guide production-grade LLM application development across enterprise platforms.

Manage SMB customer contract renewals, retention, and expansion opportunities. Responsibilities include proactive customer engagement, value selling, negotiation, Salesforce account management, forecasting, quote and order-form execution, renewal tracking, and achieving sales targets. The role requires strong communication, customer rapport, CRM proficiency, resilience, and at least one year of B2B sales or account management experience, preferably in SaaS.

Drive the full sales cycle for Levelset’s lien rights management tools, from prospecting and qualification through demonstrations, negotiation, and close. Manage inbound leads, develop strategic account plans, maintain Salesforce pipeline data and forecasts, expand existing customer relationships, and meet revenue targets. The role requires consultative B2B software selling, strong communication, and resilience in a remote, fast-paced environment.

Leads enterprise AI enablement and adoption for 3,000+ employees across global business teams. Responsibilities include designing role-based learning programs, managing an AI knowledge base and champions network, coordinating rollout communications, running workshops and office hours, tracking adoption and proficiency, and monitoring evolving capabilities across Claude, Gemini, and other AI tools.

Own revenue operations analytics for Procore AI, including dashboards, reporting, forecasting, pipeline analysis, and KPI tracking. Improve go-to-market processes, maintain Salesforce data integrity, support territory, quota, and compensation planning, and deliver recommendations to Sales, Marketing, Customer Success, Product, and Finance leaders. The role also integrates AI product processes and tooling into the broader revenue operations framework.