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Tacit

AI-driven digital twin for building operations

Head of Software Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Have a proven track record of recruiting, developing, and leading high-performing software engineering teams that consistently deliver ambitious technical goals.
  • Have deep hands-on experience with frontier AI models, coding agents, and AI-native development workflows, with strong convictions about how AI is transforming software engineering.
  • Have a strong software engineering background and technical judgment, including experience architecting complex systems and balancing rapid execution with long-term quality.
  • Have excellent communication and organizational leadership skills, with the ability to establish clarity, ownership, and accountability without unnecessary process.
  • Have high ownership in a fast-moving startup environment and a willingness to engage deeply in technical decisions and problem-solving.
  • Be excited to work five days a week in-office, coordinating with different teams and driving execution.

Responsibilities

  • Lead and grow the software team, initially about five engineers, by recruiting, mentoring, and developing talent across product, infrastructure, and systems engineering.
  • Pioneer AI-native engineering by championing the practical adoption of frontier AI models, coding agents, and automated workflows to increase engineering productivity.
  • Drive technical execution by translating product strategy into clear engineering priorities and milestones while maintaining high standards for architecture, reliability, and security.
  • Build on the team's existing foundations and accelerate delivery of consumer applications, real-time AI systems, and internal platforms as the company scales.
  • Partner cross-functionally with machine learning, hardware, firmware, and product teams to translate technical breakthroughs into compelling user experiences.

Desired Qualifications

  • Leadership experience at frontier AI companies such as OpenAI or Anthropic, or at high-growth AI-native product organizations.
  • Experience scaling software engineering organizations from early stage through major commercial product launches.
  • A background shipping complex systems spanning hardware, software, real-time machine learning, or consumer applications.

About the Company

Tacit

AI-driven digital twin for building operations

Tacit develops an AI-powered digital twin platform for real estate buildings that automates and optimizes operations by connecting to HVAC, BMS, meters and IoT sensors to form a unified view. Its Agentic AI uses context-aware agents to diagnose, troubleshoot, and autonomously adjust systems to reduce manual intervention. It provides root-cause analysis, predictive maintenance, and energy optimization based on real-time data like occupancy and weather, aiming to lower OpEx and energy waste. Audit trails log automated actions and reasoning to ensure compliance, with the goal of freeing facilities teams for more strategic work.

Company size
1-10
Company stage
Seed
Total funding
$330K
Headquarters
London, United Kingdom
Founded
1997

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