[All remote jobs](https://jobicy.com/jobs.md)[![MaintainX logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/08/f0177662-221.png)](https://jobicy.com/company/maintainx.md)[MaintainX](https://jobicy.com/company/maintainx.md) # Sr. Director, MaintainX AI Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/maintainx.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUndisclosedDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceDirectorPublished14 Oct 2026Apply before13 Nov 2026Listing views48Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. MaintainX is seeking a senior AI executive to define and scale the company’s AI strategy across industrial work intelligence, asset intelligence, and go-to-market intelligence. The role leads development of agentic AI platforms, RAG systems, evaluation frameworks, data pipelines, and production machine-learning models for sensor, text, image, and vibration data. This leader will build and manage an AI/ML organization while partnering with product, engineering, design, sales, marketing, customer support, and Autodesk stakeholders. Success requires translating advanced AI research into reliable, explainable, workflow-embedded products that create measurable enterprise value. The position combines hands-on technical leadership, organizational scaling, and executive-level strategic influence. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is an executive-level technical leadership role requiring deep expertise in production ML, agentic AI, MLOps, industrial data modalities, and large-scale organizational leadership. The leader must simultaneously set strategy, recruit senior talent, guide architecture, and deliver commercial AI outcomes in a fast-moving environment. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$300,000US market range (per year)$240k–$400k0$440.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary range is disclosed. The yearly cadence and estimated USD base-pay range are inferred for a San Francisco-based Senior Director leading AI/ML strategy, platform development, and a senior technical organization; these are AI estimates rather than employer-provided compensation. ## Core skills Skills and capabilities most closely associated with this opportunity. [AI strategy](https://jobicy.com/jobs?search_keywords=AI%20strategy.md)[Agentic AI](https://jobicy.com/jobs?search_keywords=Agentic%20AI.md)[Machine learning](https://jobicy.com/jobs?search_keywords=Machine%20learning.md)[Deep learning](https://jobicy.com/jobs?search_keywords=Deep%20learning.md)[Retrieval-augmented generation](https://jobicy.com/jobs?search_keywords=Retrieval-augmented%20generation.md)[MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md)[Multimodal learning](https://jobicy.com/jobs?search_keywords=Multimodal%20learning.md)[Predictive maintenance](https://jobicy.com/jobs?search_keywords=Predictive%20maintenance.md)[Anomaly detection](https://jobicy.com/jobs?search_keywords=Anomaly%20detection.md)[Time-series forecasting](https://jobicy.com/jobs?search_keywords=Time-series%20forecasting.md)[Data pipelines](https://jobicy.com/jobs?search_keywords=Data%20pipelines.md)[AI product leadership](https://jobicy.com/jobs?search_keywords=AI%20product%20leadership.md)[Organizational leadership](https://jobicy.com/jobs?search_keywords=Organizational%20leadership.md)[Executive communication](https://jobicy.com/jobs?search_keywords=Executive%20communication.md) Sample interview questionsHow would you create a multi-year AI strategy for MaintainX while still delivering meaningful customer value in the first two quarters?I would begin with a customer and data-value map across frontline workflows, asset reliability, and internal GTM use cases. I would establish a small number of measurable product bets, such as technician copilots, failure-risk prediction, and knowledge retrieval, then sequence platform investments around shared capabilities including data quality, evaluation, observability, permissions, and workflow integration. Each milestone would include customer-adoption, quality, reliability, and business-impact metrics. How would you decide whether an industrial AI use case should use a rules-based approach, classical ML, deep learning, or an agentic system? I would start with the decision being improved, its risk level, available data, and the required level of explainability. Deterministic rules are appropriate for stable, well-understood processes; classical ML is often effective for structured predictive tasks; deep learning is valuable for high-volume multimodal data; and agents fit multi-step knowledge-work workflows with clear tool boundaries and evaluations. The choice should minimize complexity while meeting measurable quality, latency, cost, and trust requirements. What practices would you use to make RAG and agentic AI systems reliable enough for industrial operations? I would establish an evaluation program before broad deployment, including groundedness, retrieval relevance, tool-use accuracy, task completion, latency, and safety metrics. Systems should use source citations, role-based access controls, constrained tool permissions, human approval for consequential actions, monitoring, and regression tests built from real customer workflows. I would also create clear fallback paths so an uncertain model response does not interrupt critical operations. Describe how you would build and retain a high-performing AI/ML organization. I would define a clear operating model spanning platform, applied ML, data, and product-facing AI teams, with explicit ownership and shared technical standards. Hiring would prioritize leaders who combine technical depth with product judgment and strong coaching ability. Retention would come from meaningful ownership, high-quality engineering practices, visible customer impact, career development, and a culture where teams can experiment responsibly while being accountable for outcomes. How would you communicate AI investment priorities to executives and non-technical GTM stakeholders? I would frame priorities in terms of customer problems, economic value, delivery confidence, and risk rather than model novelty. For each investment, I would explain the expected business metric, required data and platform dependencies, launch milestones, and the evidence needed to scale. Regular demos, pilot results, and concise scorecards would keep stakeholders aligned and make trade-offs transparent. Opportunity details ## About this role. MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers, including Duracell, McDonald’s, Shell, DHL and Volvo, use MaintainX to cut unplanned downtime and run better operations, across 13.9 million managed assets and 79.5 million completed work orders. In August 2026 MaintainX became part of Autodesk, joining [Autodesk Operations Solutions](https://adsknews.autodesk.com/en/views/inside-autodesk-operations-solutions/), the organization unifying Autodesk’s operations platform alongside Tandem, FlexSim and Fusion Operations. Autodesk’s strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running it back into the next design. Autodesk had design and make. Operate is the phase that tells you what actually happened, and it is ours. The Role: We are seeking a visionary and execution-driven AI leader to define and scale our AI strategy and organization. This leader will drive innovation across Agentic AI and Machine Learning solutions to ensure MaintainX becomes the category-defining intelligence layer for industrial operations. * Work Intelligence: Conversational and Agentic AI solutions to empower frontline teams to digitize their operations, schedule and execute work, manage inventory and deliver insights. * Asset Intelligence: Transforming raw machine and sensor data into actionable insights, predictive models, prescriptive recommendations and automated workflows to reduce downtime and labor costs. The vertical scope encompasses integration with OT/IT platforms/protocols, Machine Learning platform, full-stack product development and various sensor modalities such as tabular, vibration, and image data. * GTM Intelligence: Accelerate MaintainX’s and potentially Autodesk’s business by building AI-powered agents, tools, and internal products that help our revenue, service, and operations teams move faster, close smarter and scale. The flagship platform is MaintainX’s data intelligence layer (Atlas) — a unified, agentic system that connects our internal knowledge with external signals. Atlas empowers agentic or conversational solutions through the tools teams already use such as Salesforce and Claude. You’ll shape how MaintainX and potentially Autodesk Operations Solutions leverages predictive, generative and agentic AI to unlock new enterprise value. You’ll partner cross-functionally with not only Engineering, Product and Design, but also Marketing, Sales and Customer Support; while building and leading a world-class AI/ML team. What You’ll Do: AI Strategy & Vision * Define the long-term product and platform vision with progressive milestones and KPIs. * Empower every MaintainX engineer to incorporate Agentic AI tools into their feature development flows. * Translate emerging AI/ML research (GenAI, anomaly detection, RUL prediction, multimodal fusion) into production-ready solutions that deliver measurable customer value. * Build and evangelize Autodesk and MaintainX’s position as the AI leader in CMMS/EAM, differentiating through workflow-native intelligence. Execution & Delivery * Lead the design and build of scalable Agentic AI platforms: Retrieval augmented generation (RAG) systems, evals and agentic orchestration frameworks. * Build a data ingestion, processing and inference pipelines that can scale to millions of unstructured documents and videos. * Drive delivery of predictive models across sensor modalities (tabular, vibration, IoT, multimodal), balancing time-to-market with reliability and scalability. * Ensure models are explainable, trusted, and deeply embedded into MaintainX workflows — not siloed features. People Leadership & Organization Building * Build and scale a high-performing AI organization spanning platform, machine learning and product teams. * Hire and develop technical leaders; create a culture of innovation and accountability. * Establish a feedback-driven and high performance culture, empowering teams to take calculated risks and learn from successes and failures. Cross-Functional Leadership * Represent AI internally and externally as a thought leader — with executives, customers, and industry stakeholders. * Partner with Product and Design to translate customer needs into AI-powered workflows. * Collaborate with GTM teams to develop AI messaging, customer pilots, pricing strategies, and case studies. About You: * 12+ years of experience in applied AI/ML, with 7+ years leading teams in high-growth, data-driven technology companies. * Proven success designing, building and deploying predictive deep learning models into production at scale (ranking & recommendation systems, anomaly detection, forecasting, multimodal). * Track record of organizational leadership: building AI/ML teams, hiring senior technical leaders, and scaling organizations through growth. * Deep expertise across one or more: multimodal ML (sensor, text, image, vibration), MLOps or Agentic AI frameworks. * Adept at operating at multiple altitudes: from architecture design reviews to C-suite strategic planning. * Comfortable working in fast-moving environments; you balance speed with reliability and long-term vision. * Strong communication skills, able to influence across disciplines, present to executive leadership and inspire both technical and non-technical stakeholders. * Entrepreneurial mindset: thrives in ambiguity, biases for action, and balances long-term vision with near-term execution. Our mission is to keep the physical world running. Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build. Compensation and benefits. Base pay is one part of the package. Depending on the role, compensation may also include commission, an annual bonus and equity. Benefits differ by country. For roles in the United States, Autodesk’s benefits are described at [benefits.autodesk.com](http://benefits.autodesk.com). For roles in Canada and other countries, the plan differs on health coverage, retirement and leave, and your recruiter will walk you through it. Belonging. We take pride in a culture where everyone can thrive. More at [autodesk.com/company/global-belonging](http://autodesk.com/company/global-belonging). More on where this is going: Autodesk CEO Andrew Anagnost on building the future of connected operations, and AOS SVP Stephen Hooper on welcoming MaintainX to Autodesk. Show more [Apply now >](https://jobicy.com/jobs/155332-sr-director-maintainx-ai.md) > Annual salary information is not provided for this position. 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