SVP, Engineering and Innovation

Overview

Lead global engineering, AI innovation, and platform scaling for SaaS products.

Key Responsibilities

• containerization
• microservices
• ml ops
• computer vision
• llm integration
• observability

Tasks

-Advance modernization through containerization, microservices, event-driven architectures, and observability at enterprise scale. -Lead and inspire global engineering teams responsible for multi-tenant SaaS, data, and platform engineering. -Use AI and ML to personalize user experiences, predict customer needs, and automate complex workflows, increasing engagement and retention. -Shape the long-term technology roadmap that positions ConstructConnect as the AI-powered leader in pre-construction intelligence. -Serve as an executive evangelist for innovation—presenting AI strategy and engineering progress to senior leadership, the board, and external partners. -Implement robust monitoring, alerting, and AI-based anomaly detection for proactive system health management. -Foster a culture of experimentation, hackathons, and rapid prototyping that translates innovation into productiongrade capabilities. -Drive engineering excellence through metrics on velocity, reliability, and automation. -Drive global talent acquisition, retention, succession planning, and foster a culture of diversity, equity, and inclusion (DEI). -Establish scalable ML Ops infrastructure for model training, evaluation, and deployment using GCP Vertex AI or equivalent platforms. -Define and execute the company’s AI Innovation strategy, embedding intelligence and automation across the product ecosystem. -Partner with Product and Marketing to translate platform intelligence into value-driven narratives and differentiated offerings. -Lead computer vision initiatives using YOLO, Detection, and transformer-based architectures for 2D/3D takeoff, document understanding, and object recognition in drawings and plans. -Partner with Data Science to exploit structured and unstructured data, enabling predictive, prescriptive, and generative insights. -Integrate ChatGPT-class LLMs and conversational AI into products and workflows to power intelligent assistants, automated takeoffs, and predictive project insights. -Champion AI-driven development (AI Dev) practices—AI-assisted coding, automated test generation, and intelligent CI/CD orchestration—to accelerate release cycles. -Expand machine-learning engineering capabilities to operationalize models for forecasting, anomaly detection, and contextual recommendations. -Accountable for departmental budgeting, investment ROI, and efficient resource allocation. -Drive measurable improvements in NPS, adoption rate, and time-to-value through intelligent automation and UX insights. -Lead quality engineering, test automation, and reliability programs that enable rapid and safe delivery of complex AI-enhanced products. -Establish predictive incident response and root-cause analysis leveraging ML for operational resilience. -Govern cloud performance, cost optimization, and compute scalability for ML workloads and API-heavy traffic. -Embed analytics and recommendation systems into core products to provide customers with actionable intelligence. -Collaborate cross-functionally with Product, Security, Data, and Operations to align technical strategy with business priorities. -Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace. -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.

Requirements

• ai/ml
• llms
• cloud architecture
• microservices
• 20+ years
• executive communication

What You Bring

-Deep expertise in AI/ML, computer vision, natural-language processing, and ML Ops engineering. -Demonstrated experience implementing AI-assisted engineering pipelines, boosting development velocity and code quality. -Inspirational leader skilled at fostering innovation, scaling teams, and building a culture of excellence and curiosity. -All team members must reside and perform their work within the United States -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. -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). -Architect scalable, secure, and high-performance systems capable of supporting millions of transactions and complex AI workloads. -Proven success building and scaling cloud-native SaaS platforms and AI-powered digital products. -Strong background in cloud architecture (GCP, AWS, and Azure), microservices, container orchestration, and event streaming. -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. -Outstanding executive communication skills, with the ability to influence strategy at C-suite levels. -Data-driven decision maker with proven ability to operationalize AI initiatives that drive measurable business outcomes. -Hands-on familiarity with LLMs (ChatGPT, Claude, Gemini), Detection, transformer models, and generative AI frameworks.

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Benefits

-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.

About Constructconnect

-Founded with the mission to simplify and accelerate the construction process. -They offer a suite of tools that streamlines project bidding, forecasting, and networking for contractors, engineers, architects, and suppliers. -Their platform helps users access construction project leads, detailed plans, and specs, facilitating quicker and more efficient project execution. -plays a key role in sectors such as residential, commercial, industrial, and infrastructure, serving a diverse client base across the globe. -their software tools are particularly renowned for helping users find new business opportunities, manage project data, and streamline the construction lifecycle. -a standout feature is their collaboration with other tech giants to integrate construction data with cutting-edge technologies like AI and machine learning. -continuously expands its portfolio with acquisitions, strengthening its position as a key player in the construction tech space.

Sector Specialisms