Lead Software Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Lead Software Engineer United States About OfficeSpace: OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You're a great fit for the role if you're entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact. Role Summary: As our Lead Full Stack Software Engineer, you will own the future of how OfficeSpace builds, hosts, monitors, and deploys AI features, from Chatbots to Customer facing MCP Servers to Autonymous agents that handle day to day facilities management tasks. We move fast. We expect precision. And we trust you to own outcomes. What You'll Do: - Lead the architecture and production evolution of OfficeSpace's AI platform. - Design and operate Python-based AI services that integrate deeply with our Ruby on Rails backend and React frontend. - Partner with our Devops team to define best practices for deploying and hosting AI agents - Act as the technical owner for AI reliability-defining guardrails, observability, testing strategies, and failure modes for AI-driven functionality. - Build and evolve full-stack systems with a long-term mindset-maintainable code, extensible architectures, and clean interfaces. - Define and drive performance benchmarks across AI systems, using metrics, profiling, and load testing to improve latency,

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