Tech Lead Manager, Risk & Value Optimisation (RVO)
RemoteSydney, New South Wales, Australia or Australia
Job Summary
Own end-to-end delivery for the Risk & Value Optimisation platform by planning quarterly work, setting clear goals, and ensuring reliable, sustainable shipping. Lead and mentor a cross-functional team of five engineers, guiding architecture decisions, technical scaffolding, and career growth while contributing hands-on to system design and performance-critical code. Shape the technical core of RVO by managing data ingestion from disparate sources like GIS and LiDAR, and balance core platform versus application layer responsibilities. Partner with Product, Deployment, Customer Success, and Sales to understand utility challenges and align platform capabilities before they are needed. Raise engineering standards by influencing best practices, tooling, and long-term platform direction.
Required Qualifications
- Bachelor's degree in Computer Science, Mathematics, or a related field, or equivalent practical experience
- A technical people-leader who's owned delivery end to end
- comfortable operating across engineering and product
- accountable for outcomes not just outputs
- experienced leading, mentoring, and growing engineers at multiple levels
- You get up to speed fast in unfamiliar territory
- you've walked into a technical area you didn't already know
- built context without hand-holding
- found the heart of the problem
- and delivered
- Product sense, and a strong partner to Product
- you keep the team focused on customer outcomes
- stay close to what utilities actually face
- bringing an engineering perspective to hard, open-ended problems
- rather than waiting to be handed them
- You plan a route, then adapt as you learn
- you've delivered ambitious, complex projects incrementally
- shipping real progress along the way
- and changing course on evidence
- rather than clinging to the original plan
- Deep technical credibility
- a strong track record architecting and shipping complex, production-grade systems
- with the judgement to go deep
- and make sound trade-offs
- without out-experting the specialists
- No-ego, outcome-oriented, and detail-obsessed
- our work influences large-scale investment decisions
- so we deliver polished, pristine outcomes
- and we always have each other's backs
Desired Qualifications
- Experience leading software teams on financial, investment, statistical modelling or other analysis-heavy, regulated products
- Exposure to geospatial systems, utilities, energy, simulation, or physics-based platforms
- strong mathematical reasoning
- a mechanical, civil, or electrical engineering background
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