Key skills
Full-stack proficiencyAI/ML integrationData pipeline architectureCloud platformsEnterprise integration patternsCustomer-facing experiencePrototyping skillsTechnical thought leadershipTypeScriptAIMLLLMLangChainReactNode.jsGraphQLAWSAzureGCPSaaSSAPPrototyping
About this role
Octave is a company providing mission-critical software that empowers organizations to make informed decisions across every stage of the asset lifecycle. They are seeking a Lead Engineer for their Customer Innovation team, who will collaborate with strategic customers to design and build prototypes and AI pilots that leverage the Octave platform.
Responsibilities:
- Partner with strategic customers — EPCs, asset owners, public safety organizations — to understand their hardest operational problems and engineer solutions that leverage the Octave platform
- Lead the technical design and hands-on development of co-innovation engagements from initial concept through working proof of concept
- Architect and build customer-facing AI pilots that demonstrate real-world value of Octave's AI capabilities — including agent-based workflows, predictive models, and intelligent automation embedded in industrial operations
- Translate ambiguous customer challenges into structured, testable prototypes
- Serve as a rapid prototyping resource for internal product teams — building functional spikes and reference implementations that de-risk architectural decisions and accelerate roadmap clarity
- Develop reusable reference architectures and integration patterns that codify how Octave connects with the broader industrial software ecosystem — including AVEVA, SAP, SCADA systems, GIS platforms, and third-party data sources
- Represent Octave's technical depth externally — contributing to customer workshops, industry events, and technical content that positions Octave as the innovation leader in industrial SaaS
- Systematically capture and translate insights from customer engagements into actionable product intelligence
Requirements:
- 8+ years of software engineering experience, with meaningful exposure to customer-facing or pre-product roles such as solutions engineering, applied research, or innovation labs
- Demonstrated experience building production-quality prototypes and proof-of-concept systems under real time pressure
- Background in industrial software, engineering applications, GIS, asset management, or adjacent enterprise domains is a strong differentiator
- Experience integrating complex enterprise systems and working with industrial data formats and protocols
- Full-stack proficiency with modern web technologies — React, TypeScript, Node.js or equivalent backend stack
- Strong experience with AI/ML integration — LLM APIs, agent orchestration frameworks (LangChain, CrewAI, or similar), and embedding AI capabilities into enterprise workflows
- Familiarity with cloud platforms (AWS, Azure, or GCP) and containerized deployment
- Experience with data pipeline architecture, REST/GraphQL APIs, and enterprise integration patterns