Jobs at MaintainX

Build and operate scalable AI platform services, internal APIs, and production workflows integrating LLMs and AI tools. Own reliability through observability, alerting, incident response, performance tuning, cost optimization, capacity planning, CI/CD, and infrastructure improvements. The role requires Python backend development, distributed systems, asynchronous processing, cloud infrastructure, infrastructure as code, and cross-layer experience spanning services, data, infrastructure, and AI tooling.

Build and maintain React Native foundations and tooling for an internal mobile developer platform. Integrate AI-native workflows, consolidate SDKs, CI pipelines, build tools, and reusable components, raise engineering standards, and collaborate with platform and product teams to accelerate mobile feature delivery.

Lead the strategy, roadmap, and end-to-end development of MaintainX reporting, analytics, and ROI products. Expand capabilities from frontline managers to enterprise stakeholders, including operations, finance, and EHS leaders. Partner with sales to support enterprise deals, define customer and business metrics, manage cross-team data dependencies, and guide designers and engineers toward measurable outcomes.

Own the full-cycle sales process for a defined market, including prospecting, lead nurturing, discovery, product demonstrations, proposals, forecasting, and closing new accounts. The role requires consistently meeting sales targets, managing a customer portfolio, maintaining accurate CRM records, and contributing to pipeline generation. Success requires strong organization, communication, data fluency, adaptability, and a willingness to work in a fast-paced startup environment with ongoing coaching.

Own full-cycle mid-market sales for companies with 250–5,000 employees, from prospecting and discovery through demonstrations, proposals, forecasting, and closing. Generate new pipeline, consistently meet sales targets, manage complex and transactional deal cycles, maintain accurate forecasts, and organize multiple opportunities. The role requires B2B closing experience, strong communication, self-prospecting ability, and proficiency with sales systems.

Designs, produces, maintains, and delivers customer education through webinars, virtual classes, self-paced courses, and in-person training. Researches learner needs, applies ADDIE and SAM methodologies, collaborates with subject matter experts and cross-functional teams, contributes to the education roadmap, and advises teammates on curriculum and content design.

Designs, produces, maintains, and delivers customer education through webinars, virtual classes, self-paced courses, and in-person training. Researches customer learning needs, develops MRO-related curricula using ADDIE and SAM, collaborates with subject matter experts and cross-functional teams, supports the customer education roadmap, and advises teammates on curriculum and content design.

Own a mid-market customer portfolio from post-sale handoff through renewal and expansion. Build client relationships, identify growth opportunities, conduct quarterly business reviews and product demonstrations, manage proposals and follow-ups, and forecast expansion revenue accurately. Maintain organized customer and deal documentation while navigating complex sales cycles and multiple stakeholders. The role requires strong B2B account management, presentation, analytical, and communication skills, plus adaptability in a fast-paced environment.

Leads an Emerging Market Account Management team by coaching, mentoring, and developing account managers. Manages hiring, onboarding, performance, forecasting, pipeline reporting, outbound sales processes, and operational efficiency. Sets performance expectations, removes obstacles, supports customer calls, and uses team metrics to improve revenue performance. The role manages customer portfolios in primarily English-speaking markets and requires daily written and verbal English communication.

Lead the architecture and technical direction of a cloud data platform spanning infrastructure, Databricks, CDC streaming, pipelines, data products, developer experience, and governance. Resolve cross-team technical challenges, establish platform standards, influence roadmaps, drive adoption, mentor senior engineers, and lead complex multi-squad initiatives with minimal direction.

Lead end-to-end product design for AI-powered experiences across web and mobile. Simplify complex workflows for frontline users, translate ambiguous AI concepts into testable solutions, contribute to scalable design systems, present design rationale, incorporate feedback, and partner closely with product and engineering teams. The role requires strong visual and interaction design, systems thinking, storytelling, and experience designing AI features such as natural language interfaces, agents, and predictive insights for B2B SaaS or enterprise products.

Build and maintain full-stack web or mobile products across product and platform teams. Ship features end to end, collaborate with product managers and designers, own system reliability and performance, review code, mentor developers, and improve tooling, testing, and delivery practices. The role requires on-call participation and ownership of a feature area within six months.

Build and maintain scalable analytics data models and transformation pipelines using dbt and data lakehouse technologies. Implement data quality, validation, and governance; optimize performance and cost; create documentation and tooling to enable self-serve analytics across product, ops, and AI teams. Mentor peers and collaborate with engineering and business stakeholders.

Design, build, and maintain backend foundations and tooling for an internal developer platform. Lead consolidation of platform primitives (developer portal, templates, GraphQL, event-driven patterns, OpenAPI, CI/CD). Collaborate with product teams, raise engineering standards, and integrate AI-native workflows to accelerate developer productivity.

Build and maintain AWS infrastructure using Terraform, CI/CD pipelines with GitHub Actions, and multi-region Kubernetes clusters. Improve Helm charts, observability, security, and developer experience while collaborating with product teams and participating in business-hours on-call rotation.

Conduct end-to-end UX research for an AI-first B2B SaaS product: plan and run qualitative and quantitative studies, recruit and observe field technicians, synthesize insights, present recommendations, and establish research practices and tooling across product teams.

Lead post-sales integration projects, design and implement integration solutions using REST APIs and integrations platforms, manage timelines and client relationships, troubleshoot technical issues, train client personnel, and collaborate with internal engineering, product, and third-party integrators to deliver successful implementations.

Lead post-sales integration projects: define scope, design integration solutions, troubleshoot, implement via REST APIs, train client staff, and coordinate across internal teams and third-party integrators to ensure successful delivery.

Lead a team of 4–6 product designers to deliver high-quality web and mobile B2B SaaS experiences. Set design direction, align with Product and Engineering, raise craft standards, hire and develop designers, and adopt AI tools to accelerate design work.

Lead the presales-to-implementation transition for enterprise SaaS clients, align expectations, create implementation plans, monitor delivery progress, facilitate communication, mitigate risks, and ensure smooth onboarding to drive adoption and long-term partnership.