SVP, Engineering and Innovation

This position sits within our Product Development division, which develops, tests, and improves our software solutions in an innovative and collaborative environment.  

The Opportunity
The SVP, Engineering & Innovation is a visionary, hands-on technology executive responsible for leading
ConstructConnect’s global engineering organization and accelerating the company’s transition to an AI-driven, intelligent
platform. This role unites software engineering, applied artificial intelligence, computer vision, and platform modernization
under a single charter—to build smarter products, scalable platforms, and frictionless customer experiences that fuel growth
and differentiation in the construction technology market.
The SVP will oversee all aspects of engineering, innovation, AI/ML infrastructure, and platform scalability. They will lead a
high-performing global team to design and deliver intelligent, data-centric solutions—leveraging large language models
(LLMs), computer vision frameworks, generative AI, and advanced analytics to transform how customers interact with
ConstructConnect products.
This leader will oversee the Engineering delivery, platform scalability, and QA Automation functions spanning software
development, release management, agile execution, vendor delivery, and operational readiness in a product operating
model. They will be accountable for capacity management, velocity, roadmap alignment, and incident response across a
globally distributed engineering organization exceeding 200+ professionals.

What You’ll Be Doing
Engineering Leadership & Platform Scalability

• Lead and inspire global engineering teams responsible for multi-tenant SaaS, data, and platform engineering.
• Architect scalable, secure, and high-performance systems capable of supporting millions of transactions and
  complex AI workloads.
• Advance modernization through containerization, microservices, event-driven architectures, and observability at
  enterprise scale.
• Drive engineering excellence through metrics on velocity, reliability, and automation.
• Cultivate a performance-driven culture emphasizing accountability, innovation, and continuous improvement.

AI Innovation & Intelligent Product Engineering

• Define and execute the company’s AI Innovation strategy, embedding intelligence and automation across the
  product ecosystem.
• Integrate ChatGPT-class LLMs and conversational AI into products and workflows to power intelligent assistants,
  automated takeoffs, and predictive project insights.
• Lead computer vision initiatives using YOLO, Detection, and transformer-based architectures for 2D/3D takeoff,
  document understanding, and object recognition in drawings and plans.
• Expand machine-learning engineering capabilities to operationalize models for forecasting, anomaly detection, and
  contextual recommendations.
• Champion AI-driven development (AI Dev) practices—AI-assisted coding, automated test generation, and intelligent
  CI/CD orchestration—to accelerate release cycles.
• Establish scalable ML Ops infrastructure for model training, evaluation, and deployment using GCP Vertex AI or
  equivalent platforms.
• Partner with Data Science to exploit structured and unstructured data, enabling predictive, prescriptive, and
  generative insights.
• Foster a culture of experimentation, hackathons, and rapid prototyping that translates innovation into productiongrade capabilities.

Customer Experience & Growth Enablement

• Use AI and ML to personalize user experiences, predict customer needs, and automate complex workflows,
  increasing engagement and retention.
• Embed analytics and recommendation systems into core products to provide customers with actionable intelligence.
• Partner with Product and Marketing to translate platform intelligence into value-driven narratives and differentiated
  offerings.
• Drive measurable improvements in NPS, adoption rate, and time-to-value through intelligent automation and UX
  insights.

Quality, Velocity, and Operational Excellence

• Lead quality engineering, test automation, and reliability programs that enable rapid and safe delivery of complex
  AI-enhanced products.
• Implement robust monitoring, alerting, and AI-based anomaly detection for proactive system health management.
• Govern cloud performance, cost optimization, and compute scalability for ML workloads and API-heavy traffic.
• Establish predictive incident response and root-cause analysis leveraging ML for operational resilience.

Leadership & Collaboration

• Drive deep collaboration with Product Leadership, ensuring tight alignment between engineering and product
  roadmaps, OKRs, and business priorities. Co-own strategic planning and roadmap execution to translate innovation
  into measurable customer and business impact.
• Collaborate cross-functionally with Product, Security, Data, and Operations to align technical strategy with business
  priorities.
• Serve as an executive evangelist for innovation—presenting AI strategy and engineering progress to senior
  leadership, the board, and external partners.
• Shape the long-term technology roadmap that positions ConstructConnect as the AI-powered leader in pre-construction intelligence.
• This job description in no way implies that the duties listed here are the only ones that team members can be required to perform

What You Bring to the Team

• Proven ability to operationalize complex delivery programs and lead transformation through disciplined execution. 20+
  years of progressive experience in software engineering and technology leadership, including leading global,
  distributed teams (200 + engineers).
• Proven success building and scaling cloud-native SaaS platforms and AI-powered digital products.
• Deep expertise in AI/ML, computer vision, natural-language processing, and ML Ops engineering.
• Hands-on familiarity with LLMs (ChatGPT, Claude, Gemini), Detection, transformer models, and generative AI
  frameworks.
• Strong background in cloud architecture (GCP, AWS, and Azure), microservices, container orchestration, and event
  streaming.
• Demonstrated experience implementing AI-assisted engineering pipelines, boosting development velocity and code
  quality.
• Data-driven decision maker with proven ability to operationalize AI initiatives that drive measurable business outcomes.
• Inspirational leader skilled at fostering innovation, scaling teams, and building a culture of excellence and curiosity.
• Outstanding executive communication skills, with the ability to influence strategy at C-suite levels.
• Drive global talent acquisition, retention, succession planning, and foster a culture of diversity, equity, and inclusion
  (DEI).
• Accountable for departmental budgeting, investment ROI, and efficient resource allocation.

Physical Demands and Work Environment:

• The physical activities of this position include frequent sitting, telephone communication, and working on a computer
  for extended periods. Visual acuity is required to perform activities close to the eyes.
• Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.
• Team members who live within commuting distance of one of our office locations (Greater Cincinnati/Northern
  Kentucky or Atlanta, Georgia) are expected to work in a hybrid capacity, with regular in-office presence as determined
  by the team or department.
• Team members who live outside of commuting distance will be designated as remote team members. While not
  required to report to an office regularly, remote team members may be expected to travel to a designated office location
  occasionally for team meetings, training, or other business needs with reasonable notice.
• All team members must reside and perform their work within the United States

E-Verify Statement 
ConstructConnect utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for ConstructConnect is eligible to work in the United States. To learn more about E-Verify you can call 1-800-255-7688 or visit their website. E-Verify® is a registered trademark of the United States Department of Homeland Security. 

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