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Develop quantitative and qualitative analyses supporting pricing, packaging, and monetization decisions across Procore’s portfolio, including AI offerings. Build financial and unit economics models, assess pricing elasticity and willingness to pay, size revenue impacts, and evaluate monetization models. Translate findings into executive and board-ready recommendations, support pricing governance, and partner with Product, GTM, Sales, Deal Desk, and Finance teams to implement decisions globally.

Principal Software Engineer serving as a technical authority for backend, data, and AI platform architecture. Responsibilities include designing large-scale distributed data platforms, streaming systems, APIs, data models, and production AI systems using LLMs, RAG, vector search, and agent orchestration. The role establishes architectural standards, governance, observability, security, and cost controls; contributes high-impact production code; guides modernization; partners with product and engineering leaders; and mentors senior engineers.

Leads and develops a team of SMB Install Base Account Managers responsible for renewals, upgrades, cross-selling, product demonstrations, and deal support. Builds a high-performance sales culture, hires and mentors representatives, reviews pipelines and forecasts, supports negotiations, analyzes performance, collaborates with Customer Success and sales leadership, and improves sales processes and productivity.

Lead customer-facing data migration engagements from discovery and technical scoping through extraction, transformation, import, testing, validation, and handoff. Assess source data quality, define mappings and transformation rules, establish requirements and responsibilities, and manage Statements of Work, estimates, risks, and pricing. Collaborate with Sales, Project Managers, Professional Services Consultants, and technical teams to resolve blockers. Serve as a data migration subject-matter expert and improve reusable delivery standards and workflows.

Leads and grows a data engineering team responsible for Kafka/MSK streaming infrastructure and Databricks lakehouse systems. Defines platform strategy, ensures reliability, scalability, performance, security, compliance, and cost efficiency, and manages production availability and on-call practices. Partners with engineering, analytics, product, security, and compliance stakeholders to prioritize investments, translate business needs into technical roadmaps, and develop engineering talent.

Leads the vision, strategy, roadmap, and execution for Procore’s Safety product portfolio. Identifies AI and machine learning applications, evaluates new market opportunities, conducts customer and competitive research, and builds business cases. Partners with engineering, design, marketing, sales, and customer success to launch high-impact features. Mentors product teams, communicates strategy to executives and stakeholders, and uses product metrics and customer feedback to improve adoption and business outcomes.

Lead the internal AI enablement platform for embedding autonomous agents across Procore. Define technical roadmaps, APIs/SDKs, architectural guardrails, developer tooling, and evaluation frameworks. Drive cross-functional alignment, prioritize backend enablement work, and measure developer velocity and agent performance to accelerate safe, scalable AI deployment across products.

Lead a global Center of Excellence for GTM intelligence, standardize global forecasting and pipeline management, deliver executive-level insights, investigate root causes of revenue variance, enable field Revenue Operations partners, partner on GTM tech stack (CRM/BI), and hire and scale a high-performing revenue operations team to drive GTM performance.

Manage the full cybersecurity risk lifecycle, from assessment and scoring through treatment, acceptance, and closure. Map penetration test, audit, vulnerability, and configuration findings to root-cause risks and controls. Assess cloud and SaaS security risks, maintain data quality in the risk register, and communicate actionable insights to technical and business stakeholders. Use AI tools to accelerate risk analysis, evidence summarization, scenario modeling, reporting, and GRC automation.

Lead a 4–6 engineer team to own Procore's Vault-backed secrets management and operational tooling platform. Define strategy and roadmap for secrets, identity (OIDC/PKI), External Secrets Operator, and operational ingestion pipelines (Kafka → Databricks/Compass). Build self-service provisioning, certificate rotation, compliance controls, AI-powered guardrails, and reliability practices. Partner with security, SRE, and platform leadership; recruit, mentor, and drive engineering excellence.