Software Engineering Manager, AI Platform

Procore
Austin, United States of America
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 232K

Job location

Austin, United States of America

Tech stack

A/B testing
Artificial Intelligence
Code Coverage
Software Quality
Continuous Integration
Programming Tools
Distributed Systems
Information Retrieval
Python
Project Management Software
Software Engineering
Large Language Models
Reliability of Systems
Technical Debt
Backend
AI Platforms
Low Latency
Data Pipelines

Job description

We're looking for a Software Engineering Manager for our AI Evaluation Platform team to join Procore's Construction Intelligence organization. In this role, you'll build the infrastructure and tooling that enables users and internal teams to measure, benchmark, and improve the quality of AI agents - including Search Agent, RFI Create Agent, Invoice Agent, and future agentic products. You will own the end-to-end evaluation lifecycle: from defining quality metrics and building evaluation frameworks, to delivering intuitive interfaces that surface actionable insights about agent performance.

This position reports into Sr Director of the Procore AI Engineering team and will be 2 days per week hybrid role in our Austin office. We're looking for someone to join us immediately.

What you'll do:

  • Lead and grow a team of engineers focused on evaluation infrastructure, quality measurement, and developer tooling for AI agents.
  • Define the technical vision and roadmap for the Evaluation Platform - covering offline evaluations (batch benchmarks, regression suites) and online evaluations (live traffic quality monitoring, A/B testing).
  • Partner with AI/ML, Product, and Agent teams to define quality metrics for agents (relevance, accuracy, latency, safety, user satisfaction, token usage) and build automated pipelines to compute them at scale.
  • Design and deliver user-facing evaluation tools that allow customers and internal teams to assess agent output quality, compare model versions, and identify regressions.
  • Build frameworks for human-in-the-loop evaluation - annotation workflows, rating interfaces, and inter-rater reliability measurement.
  • Establish CI/CD quality gates so that new agent versions cannot ship without passing evaluation thresholds.
  • Drive engineering excellence: code quality, system reliability, test coverage, on-call health, and technical debt management.
  • Recruit, mentor, and develop engineers - fostering a culture of ownership, curiosity, and rigorous experimentation.

Requirements

  • 2+ years managing engineering teams or technical leads, with 7+ years total in software engineering.
  • Experience building evaluation, quality measurement, or observability platforms for LLM-based or agentic systems (RAG pipelines, multi-step agents, tool-use agents).
  • Strong understanding of evaluation methodologies: precision/recall, LLM-as-judge, human annotation, A/B testing, and statistical significance frameworks.
  • Proven ability to translate ambiguous problem spaces into clear technical strategies and executable roadmaps.
  • Hands-on technical depth in backend systems, data pipelines, or distributed infrastructure (Python, Go, or similar)
  • Familiarity with evaluation frameworks such as RAGAS, DeepEval, LangFuse, or custom eval harnesses.
  • Background in search relevance (NDCG, MRR) or information retrieval quality systems.
  • Experience with construction-tech, procurement, or enterprise B2B SaaS domains.

Benefits & conditions

168,560.00 - 231,770.00 USD Annual

This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location.

For Los Angeles County (unincorporated) Candidates:

Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

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