Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Own the roadmap for Identity and Access Management and establish a new Entitlements and Product Configuration domain. Define product charters, success metrics, unified frameworks, feature rollout and licensing systems, and prioritize consolidation of fragmented platforms. Partner closely with engineering, Sales, Customer Success, and Finance to align access, monetization, experimentation, and entitlement capabilities with business needs.

Lead complex enterprise software implementations from planning through deployment, managing stakeholders, timelines, client expectations, training, adoption, issue resolution, and knowledge transfer. Serve as a trusted advisor to customers, recommend workflows, communicate product value, and collaborate with product, sales, and account management teams. Manage multiple accounts while maintaining client satisfaction and implementation quality.

Own product marketing from alpha through general availability, including launch planning, positioning, messaging, naming, collateral, video scripts, sales enablement, campaigns, customer research, analytics, and product adoption. Partner closely with product, engineering, sales, demand generation, and customer teams to bring B2B software products to market and drive adoption.

Own the technical sales process for operational technology integrations. Conduct OT discovery, map customer data sources to connectors, demonstrate integrations using customer equipment data, scope implementation services, support custom integration work, and provide product feedback. Collaborate with sales, solutions architecture, implementation, product, and engineering teams while managing multiple evaluations and customer on-sites.

Partner with Account Executives on mid-market sales cycles by leading discovery, tailored demos, trials, technical validation, proof-of-concept work, RFPs, and integration discussions. Translate industrial maintenance workflows into customer value stories for diverse stakeholders, maintain sales collateral and demo environments, answer product and security questions, coach sales teams, and relay customer feedback to product and engineering teams. Customer-site travel is required.

Leads MaintainX’s AI strategy, organization, and execution across agentic AI, machine learning, asset intelligence, work intelligence, and GTM intelligence. Builds scalable AI platforms, RAG systems, data and inference pipelines, predictive models, and workflow-integrated intelligence. Establishes technical vision, hires and develops AI leaders, partners cross-functionally, and positions the company as an AI leader in industrial operations.

Lead end-to-end product design for AI-powered experiences across web and mobile. Partner with product managers, engineers, and designers to simplify complex workflows for frontline users. Translate ambiguous AI opportunities into testable solutions, contribute to scalable design systems, present design rationale, incorporate feedback, and maintain high visual and interaction quality. Use AI tools to accelerate the design process and improve product outcomes.

Lead a team of 4–6 product designers delivering web and mobile experiences for industrial and frontline users. Own design quality, creative direction, team development, hiring, performance management, and design-system consistency. Partner with Product and Engineering to translate strategy into execution, advocate for user needs, and improve delivery. Guide adoption of AI design tools and practices while contributing to critiques and complex, high-stakes workflow design.

Lead the technical direction, architecture, governance, and standards for a backend platform serving multiple engineering teams. Develop AI-native workflows, resolve cross-cutting distributed-systems challenges, influence roadmaps, drive platform adoption, mentor senior engineers, lead complex initiatives, and participate in on-call rotations. The role requires broad expertise across cloud infrastructure, Terraform, CI/CD, GraphQL federation, event-driven systems, APIs, developer experience, Node.js, and TypeScript.

Own the generation layer of Document Intelligence by designing prompts, schemas, validators, multimodal context pipelines, and quality evaluations. Build production LLM features that transform video, audio, PDFs, images, OCR, transcripts, and keyframes into validated maintenance entities. Balance model quality, cost, and latency, monitor regressions, and collaborate with processing and domain engineering teams.