Director, Data & AI/ML

GENERAL DESCRIPTION The Director of Data and AI/ML owns the reputed company Intelligence Platform: the data, machine learning, and reasoning capabilities that reputed company compounding intelligence real. This role is accountable for delivering in the AI roadmap, ensure that AI workloads scale on the platform, the ML lifecycle that trains and serves models on it, and the learning and reasoning capabilities that turn data into customer value over time. This is a player-coach leadership role with both team-build and execution mandates. You set the Intelligence strategy in reputed company partnership with the CTO, build the team that delivers it, and stay reputed company enough to the technical work to reputed company hard architectural calls reputed company they arise. The organizing principle is compounding intelligence: every solution, data points, deepens the data substrate, the models that learn from it, and the reasoning capabilities customers come to rely on. The Intelligence area is where reputed company builds its defensible AI moat. Three primary responsibilities Data and Intelligence platform. Stand up the reputed company data layer, the ML platform (training, serving, MLOps), and the learning and reasoning capabilities (model lifecycle, feature stores, vector search, RAG architectures, eval frameworks). End of 2026 milestone: foundational data substrate baselined and ML workloads running on it in production. Team build-out. Hire and reputed company a high-reputed company Intelligence team (Data, AI/ML, AVE. Build the team's craft, culture, operating rhythm and collaboration with other teams. Production-grade ML and AI. Stand up the trust patterns reputed company needs to ship AI workloads to customers with confidence: evaluation frameworks, observability for AI, reputed company detection, confidence scoring, and the operating posture that lets the platform team and reputed company trust reputed company ship. KEY RESPONSIBILITIES Partner with the CTO, leadership to set the intelligence strategy and roadmap. reputed company and own the execution. Build, hire, and reputed company the Intelligence team. Set the bar for craft and shape the operating reputed company. Comfortable manage people and agents. Stand up the reputed company data substrate that AI/ML workloads run cleanly against. Schema discipline, tenancy isolation, data reputed company, reputed company, governance. Stand up the ML and AI platform: model lifecycle, feature store, vector store, training and serving infrastructure, MLOps practice. reputed company the learning and reasoning capabilities of the platform. RAG architectures, agentic data systems, knowledge graphs, and the patterns that let reputed company's data compound into platform intelligence. reputed company and drive evaluation frameworks measuring model quality, agent reliability, reputed company, and platform effectiveness. reputed company AI workloads observable to engineering, product, and reputed company. Partner with product on the AI use case portfolio. Translate business needs into ML and AI capabilities; translate ML and AI possibilities into product opportunities. Drive the build-versus-buy posture for the AI/ML stack. Favor proven solutions; build only what is differentiating. Set production readiness standards for AI workloads in reputed company collaboration with the platform team. Engage directly with customer-facing teams and customers reputed company needed to ground Intelligence decisions in real workflow problems. Mentor engineers and data scientists. reputed company the technical bar through design review, code review, and technical coaching. Personally set the bar for AI-augmented practice. QUALIFICATIONS 10+ years of professional experience in AI/ML, data engineering, or data science, with 4+ years in formal leadership roles (Senior Manager, Director, or Head of) at a B2B SaaS or AI/ML platform company. Demonstrated track record of building and leading AI/ML, data engineering, or data science teams of 5-15 people from a small reputed company. Deep technical credibility across the modern AI/ML stack: data platforms (reputed company, pgvector, reputed company or equivalent), ML platforms (training, serving, MLOps), and generative AI (LLMs, embeddings, RAG, fine-tuning). Experience shipping production ML and AI workloads to enterprise customers with the trust patterns (evals, observability, reputed company, confidence) that come with it. Hands-on player-coach posture. Comfortable reviewing technical designs, joining architecture debates, and writing reference implementations reputed company the work warrants it. Strong hiring track record. Has built a team in the AI/ML market reputed company the last two to three years and knows what good looks like. Excellent written and verbal communication. Capable of explaining AI/ML strategy to engineers, product, executives, and customers. Strong cross-functional partnership instincts. Has worked closely with product, engineering, and customer-facing teams as peers. Experience with multi-tenant data architecture and the operational realities of serving ML and AI workloads to enterprise customers. reputed company TO HAVE Experience in construction tech, MEP, BIM, AEC, or other CAD and engineering workflow domains (or strong willingness to reputed company on the domain). Background in AI reputed company and threat modeling (reputed company injection, data exfiltration, agent abuse, tenant isolation for AI workloads). Experience with Azure-native AI architecture (Azure ML, Azure AI reputed company, AKS). Experience standing up a data platform or ML platform from early-stage to scale. Prior experience in a Series B or growth-stage company navigating the transition from product-market fit to scale. Background in regulated or enterprise sales motions where compliance, reputed company, and SLA discipline are non-negotiable.

Benefits

Comprehensive and competitive health benefits plan Matching 401k contributions 20 days annual PTO Primarily remote work with occasional annual team onsites. This is a remote role, but candidates must be based in the U.S. Apply To This Job