Top Tech Jobs & Startup Jobs

Lead product strategy and execution for an AI-powered manufacturing platform. Partner with technical customers to understand workflows, data, equipment, and constraints; prioritize opportunities; define roadmaps and success criteria; prototype AI-enabled solutions; establish quality and trust mechanisms; run field trials; and track outcomes through deployment. The role requires strong customer engagement, data fluency, zero-to-one startup product experience, technical credibility, and judgment in applying emerging AI tools.

The role involves leading the deployment of an AI manufacturing platform, coordinating factory integration, cross-functional execution, and ensuring operational success.

Own strategic electronics manufacturing customers, leading platform deployments, production-line launches, data analysis, and adoption. Analyze manufacturing and test data to improve yield, throughput, quality, failure-analysis time, and production readiness. Build relationships with engineering and executive stakeholders, lead business reviews, identify expansion opportunities, represent customer needs internally, and drive measurable outcomes across ambiguous technical programs.

Build and maintain backend services and product features across the full software development lifecycle. Responsibilities include designing, implementing, testing, deploying, validating, and improving production software; investigating issues; enhancing performance and reliability; identifying technical debt; and collaborating with product, AI, and edge systems teams. The role requires ownership of features, thoughtful decision-making in ambiguous situations, code reviews, documentation, and use of AI-assisted development tools.

Build and own web application features across the full software development lifecycle, from understanding customer needs through design, implementation, testing, release, and validation. Collaborate with Product, Customer Success, engineers, and external stakeholders. Develop user experiences with TypeScript, React, React Router, HTML, and SCSS, while improving application quality, performance, and reliability and using AI tools to support engineering productivity.

Operate and scale Instrumental’s commercial SaaS platform on public cloud infrastructure. Build reliable distributed systems, automate infrastructure and operations, manage Kubernetes and infrastructure as code, and improve monitoring, logging, application performance, security, and compliance. Establish and measure reliability, performance, and efficiency KPIs while independently driving impactful projects in a fast-paced startup environment.

Operate, improve, and scale an AWS-based SaaS platform through production operations and engineering. Responsibilities include infrastructure automation, CI/CD, observability, incident response, root cause analysis, on-call support, reliability improvements, and reducing operational toil. The role partners with software engineers to improve scalability, security, operational workflows, and production readiness.

Design, deploy, and operate a high-performance SaaS manufacturing platform on cloud infrastructure. Ensure scalability, reliability, automation, monitoring, and KPIs. Integrate AI into dev/ops workflows, lead impactful projects, and improve uptime, latency, and efficiency. Work cross-functionally in a fast-paced startup while meeting U.S. government data access citizenship requirements.

Analyzes and labels manufacturing image data for AI defect-detection models, maintains data quality standards, prepares customer environments, reviews defect patterns, creates reports and ROI dashboards, and escalates ambiguous or unusual data issues. The role also supports process improvement and customer program setup while applying manufacturing, quality-control, and analytical judgment to improve model accuracy and operational outcomes.

Develop and implement technical solutions for electronics manufacturing customers across Taiwan, Vietnam, and other regions. Validate technical scopes, define inspection frameworks, assess automation and integration risks, guide station hardware and controls designs, and oversee projects from specification through deployment. Serve as the technical customer interface, translating requirements and trade-offs into robust, manufacturable solutions while coordinating sales, project teams, contract manufacturers, and systems integrators.