2 months ago
Responsibilities
- Embed with power engineers and go-to-market teams to understand workflows, constraints, and underlying customer needs.
- Dogfood, test, and evaluate FDE and AI tooling for usefulness, correctness, reliability, and fit with critical-infrastructure work.
- Translate field evidence into requirements, priorities, and acceptance criteria while partnering closely with Product and Engineering.
- Investigate data, write Python and SQL, build prototypes and integrations, debug workflows, and perform high-priority customer work.
- Lead U.S. team rollout, onboarding, training, adoption measurement, and intervention when teams revert to lower-leverage workflows.
- Define usage standards, AI-assisted-work quality bars, human-review requirements, and processes for capturing lessons and failure modes.
- Turn recurring field needs into reusable workflows, product capabilities, playbooks, and an evidence-based FDE operating model.
Requirements
- Experience building and shipping maintainable software within a product-engineering organization.
- Meaningful experience with power systems, utilities, grid technology, or adjacent critical infrastructure is strongly preferred.
- Fluency in Python, SQL, APIs, data pipelines, cloud systems, and modern developer tooling.
- Experience with modern data and AI workflows, including platforms such as Databricks and AI-native or agentic tooling, is valuable.
- Strong discovery, product judgment, communication, adoption leadership, and cross-functional ownership skills.
- Ability to work credibly with engineers, utility leaders, executives, customers, and enterprise stakeholders.
- Willingness to travel regularly and spend significant time with customers and the U.S. team.
- Experience as a Forward Deployed Engineer, customer-embedded product engineer, or technical lead is helpful but not required.
Benefits
- Opportunity to work directly with founders and leaders across Product, Engineering, and go-to-market.
- Broad ownership from day one in a founding role shaping Gridsight’s FDE model and AI-native ways of working.
- Regular travel and meaningful time with customers and the U.S. team are expected.
About Gridsight
Gridsight builds an AI-powered SaaS platform that gives electric utilities grid insights to improve reliability, optimize operations, and integrate distributed renewables. Its subscription software and supporting services help utilities analyze operational data, enhance observability, and automate planning workflows. Founded in 2020 and headquartered in Sydney, Australia, the company is privately held.