Gridsight

Role Description We’re hiring a Senior Product Manager to own one of Gridsight’s core product squads – the team building our real-time machine-to-machine grid constraint management and DER control capabilities. This is a deeply technical product role with a strong customer-facing dimension. The products this team builds run in real time on live utility networks, are co-developed with major utilities, and are expanding across multiple markets. You’ll own the product end-to-end – roadmap, customer engagements, implementation frameworks, and the day-to-day product leadership the team needs to execute. What You'll Do - Own the team’s product roadmap end-to-end – sequencing capabilities and maintaining alignment between engineering direction and commercial priorities across a maturing, technically complex product suite. - Lead the productisation of core capabilities – turning co-development opportunities into replicable, scalable products deployed across multiple utilities. - Be the face of the product in customer engagements relating to our machine-to-machine, real-time products – pre-sales discovery, implementation workshops, and co-development sessions across Australian and US utility customers. - Define and own implementation frameworks – standardising how our real-time products are deployed, configured, and validated for new customers. - Manage competing customer priorities across a two-market portfolio – finding common ground across Australian and US utilities and driving alignment on shared platform approaches. - Work closely with a highly capable engineering team to break complex capabilities into clearly defined, well-sequenced work. Qualifications - 5+ years in product management, product ownership, or a closely adjacent role. - Demonstrated ability to own complex, technical B2B products – ideally machine-to-machine or infrastructure platform products – end-to-end. - Experience leading technical customer workshops and managing co-development engagements with external organisations. - The ability to manage competing priorities across multiple customers, finding shared approaches that serve the platform. - Strong technical literacy – able to engage deeply with engineering discussions, ask the right questions and make sound product trade-offs. - Experience in a high-growth startup or scale-up where structure needs to be created, not inherited. Requirements - Background in energy, grid technology, utilities, telecommunications, or adjacent infrastructure domains. - Familiarity with power systems concepts – constraint management, DER, or network modelling. - Experience building repeatable implementation playbooks for technically complex enterprise products. - Exposure to real-time and/or machine-to-machine product design. Benefits - Competitive salary and equity package - Remote-first, with head office in Sydney - A talented team of product managers, engineers, data scientists, and power systems specialists working on hard problems that matter

Role Description We're hiring a Staff Platform Engineer to build the foundations that let every product squad at Gridsight ship faster and with greater confidence. You'll work across the engineering organisation — identifying the cross-cutting problems that slow squads down and solving them once, well. That might be observability, deployment pipelines, environment management, test infrastructure, or emerging areas like AI-assisted developer tooling. Wherever the leverage is, that's where you'll be. We're building an engineering culture where AI-assisted development is the norm, not the exception. We expect our engineers to be actively using agentic coding tools and LLM-assisted workflows to move faster, think bigger, and deliver more. If you're already working this way — or you're the kind of engineer who's itching to — you'll fit right in. What You'll Do - Identify and solve the cross-cutting platform problems that prevent product squads from shipping faster and with confidence - Build and operate observability platforms — metrics, tracing, logging, alerting — that give product teams and on-call engineers clear, actionable visibility into system health - Evolve our deployment automation, release management, and infrastructure-as-code; tackle environment management and test infrastructure head-on to reduce lead time and tighten CI feedback loops - Architect infrastructure that's secure, cost-effective, and scalable across multi-tenant, multi-region deployments — and proactively pay down tech debt before it bites - Bring platform engineering standards into our data layer (dbt, Databricks): CI/CD, automated testing, environment promotion, observability - Act as a culture carrier for platform and reliability engineering — mentoring engineers across squads, sharing patterns, and shifting how the broader engineering organisation thinks about reliability and developer experience - Treat internal developers as customers: seek feedback, measure satisfaction, iterate on tooling based on real friction Qualifications - 6+ years of software engineering experience with demonstrated impact at Staff level in platform, infrastructure, or SRE domains - Deep cloud infrastructure experience at production scale — compute, networking, storage, IAM, cost management — with strong infrastructure-as-code and container orchestration skills (AWS and Terraform preferred) - Proven track record building and operating observability platforms (metrics, tracing, logging, alerting) at meaningful scale - Strong software engineering fundamentals: clean architecture, testing, version control, code review - A track record of defining systems and practices, not just working within them — you set technical direction, form strong opinions grounded in experience, and drive outcomes without close direction - Demonstrated experience as an enabling function within a product engineering organisation — reducing cognitive load on product teams, building capabilities they adopt willingly, and knowing when to consult, guide, or step back - Fluency in AI-assisted development tooling — you're already using agentic coding tools or LLM-assisted workflows to accelerate your work Requirements - SRE background: SLOs, error budgets, incident management, chaos engineering, war games - Experience building internal developer platforms or PaaS capabilities with a strong focus on DX - Familiarity with data platform technologies (Databricks, Spark, dbt) and their infrastructure requirements - Experience with authentication and identity patterns (Auth0, Azure AD, SAML/SSO, OIDC) in multi-tenant environments - Contributions to open-source projects or technical communities - Experience in energy, utilities, or infrastructure technology Benefits - Competitive salary and equity package - Remote-first, with head office in Sydney - A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter

Role Description Our Technical Business Analysts own data integration with our customers, ensuring they get value from Gridsight's platform quickly and seamlessly. This is equal parts customer-facing and technical. You'll work directly with utility customers to help them understand what data we need, review what they send, give feedback on issues, and get it into the platform. You'll spend roughly half your time in conversations with customers and half heads-down wrangling data, and configuring the system. What You'll Do - Work directly with utility customers to help them understand what data Gridsight requires, in what format, and how to provide it. - Review incoming customer data against expected schemas and quality standards, providing clear and constructive feedback on issues. - Onboard customer data into the platform using our tooling and workflows. - Identify and act on opportunities to improve our internal tooling, automating manual steps, improving validation, and making the data onboarding process more efficient, high quality and repeatable. - Drive customer data deliveries to completion — following up, unblocking, and maintaining momentum through the implementation process. - Manage complex customer situations with composure: unrealistic timelines, incomplete data, shifting priorities, and competing demands. - Identify and act on opportunities to automate manual steps, improve tooling, and make the data onboarding process more efficient and repeatable. Qualifications - Strong communication skills — you can explain technical data requirements to non-technical people, give constructive feedback, and manage expectations with confidence. - Proactive and self-directed — you see what needs doing and drive it to completion without close supervision. - Experience using SQL to analyse, validate, and wrangle messy datasets. - Experience in customer-facing or consulting-style technical roles with external stakeholder management. - Comfort with ambiguity — customer data environments are inconsistent and varied, and there won't always be a playbook. - Ability to manage your own time and priorities across multiple concurrent customer engagements. - 3+ years of professional experience in technical business analyst roles, data engineering, data analysis, technical consulting, or a similar role involving both technical and stakeholder-facing work. What Would Set You Apart - A track record of improving processes — automating manual work, building internal tools, or introducing better ways of working. - Experience with dbt or similar ELT frameworks, and exposure to working within data pipelines. - Expertise in leveraging AI-assisted development tooling. - Experience in energy, utilities, or infrastructure domains. Benefits - Competitive salary and equity package. - Remote-first, with head office in Sydney. - A talented team working on hard problems that matter. - A unique culture built around dialogue.

Role Description Our Customer Data Engineers own data integration with our customers, ensuring they get value from Gridsight's platform quickly and seamlessly. This is equal parts customer-facing and technical. You'll work directly with utility customers to help them understand what data we need, review what they send, give feedback on issues, and get it into the platform. You'll spend roughly half your time in conversations with customers and half heads-down wrangling data, running transforms, and configuring the system. What makes this role distinctive is where it's heading. We're continuously building better tooling to streamline data onboarding, and we want someone who accelerates that shift. From day one, we expect you to approach the work with a tool-first mindset — questioning manual steps, reaching for automation, and helping us develop internal products that make it a faster, more repeatable process. Over time, the role can grow in two directions: deeper into product engineering, or deeper into customer ownership and leadership. We'll support whichever direction plays to your strengths. Qualifications - Strong communication skills — you can explain technical data requirements to non-technical people, give constructive feedback, and manage expectations with confidence. - Proactive and self-directed — you see what needs doing and drive it to completion without close supervision. - Strong SQL skills with demonstrated ability to analyse, validate, and wrangle messy datasets. - Experience with dbt or similar ELT frameworks, and exposure to working within data pipelines. - Experience in customer-facing or consulting-style technical roles with external stakeholder management. - Comfort with ambiguity — customer data environments are inconsistent and varied, and there won't always be a playbook. - Ability to manage your own time and priorities across multiple concurrent customer engagements. - 3+ years of professional experience in data engineering, data analysis, technical consulting, or a similar role involving both technical and stakeholder-facing work. Requirements - Work directly with utility customers to help them understand what data Gridsight requires, in what format, and how to provide it. - Review incoming customer data against expected schemas and quality standards, providing clear and constructive feedback on issues. - Onboard customer data into the platform using tooling and transformation workflows. - Identify and act on opportunities to improve our internal tooling, automating manual steps, improving validation, and making the data onboarding process more efficient, high quality and repeatable. - Drive customer data deliveries to completion — following up, unblocking, and maintaining momentum through the implementation process. - Manage complex customer situations with composure: unrealistic timelines, incomplete data, shifting priorities, and competing demands. - Identify and act on opportunities to automate manual steps, improve tooling, and make the data onboarding process more efficient and repeatable. What Would Set You Apart - A track record of improving processes — automating manual work, building internal tools, or introducing better ways of working. - Expertise in leveraging AI-assisted development tooling. - Experience in energy, utilities, or infrastructure domains. - Experience with data quality frameworks, monitoring, or observability. Benefits - Competitive salary and equity package. - Remote-first, with head office in Sydney. - A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter. - A role with clear growth pathways into product and tooling, or deeper customer ownership.

Role Description We're hiring a Senior to Staff-level Data Engineer to build and evolve the data layer that powers our grid analytics products. This is a hands-on data engineering role. You'll design pipelines, write transformations, and ship data that downstream consumers — data scientists, product engineers, and analysts — depend on daily. - Design, build, and maintain scalable data pipelines that transform and serve data for analytics and platform features - Ensure data quality, reliability, and observability across the pipelines and models you own - Collaborate with Data Science, Product Management, Software Engineering and Design to understand domain requirements and translate them into robust data structures and systems - Establish data engineering standards — modelling conventions, testing practices, documentation, and observability - Identify and address data technical debt, particularly where poor abstraction is creating complexity downstream - Mentor other engineers on data modelling, pipeline design, and transformation architecture Qualifications - 5+ years of data engineering experience with demonstrated impact at Senior or Staff level - Strong experience building and maintaining production data pipelines at scale - Hands-on experience designing layered transformation architectures (staging, intermediate, mart patterns) in production - Deep knowledge of modern data stack technologies (orchestration, transformation, storage, and streaming) and the Data Engineering lifecycle - Solid data modelling fundamentals — dimensional modelling (Kimball), relational theory, and a clear sense of when to apply different techniques - Experience with dbt or similar transformation frameworks - Solid software engineering fundamentals: version control, testing, code review, CI/CD - Fluency with AI-assisted development tools and workflows - Experience working closely with downstream consumers and designing data that serves their needs - A track record of bringing structure and clarity to complex or messy data landscapes Requirements - Experience in energy, utilities, or grid technology - Experience building data products with defined consumers, SLAs, and quality contracts - Time-series data or operational analytics experience - Background in data mesh principles or domain-oriented data architecture - Experience with distributed systems or stream processing - Experience with modern data orchestration tools (Airflow, Dagster, Prefect) - Cloud data infrastructure depth (AWS, GCP, or Azure) Benefits - Competitive salary and equity package - Remote-first, with head office in Sydney - A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter

Role Description We're hiring a Senior or Staff-level Software Engineer to join our engineering team and help build the next generation of our platform. You'll work across the stack, owning features end-to-end - from understanding the problem through to shipping and iterating in production. The work spans our grid analytics platform: building the software that helps utilities understand, operate, and optimise their networks as the energy transition accelerates. We're building an engineering culture where AI-assisted development is the norm, not the exception. We expect our engineers to be actively using agentic coding tools and LLM-assisted workflows to move faster, think bigger, and deliver more. If you're already working this way - or you're the kind of engineer who's itching to - you'll fit right in. What You'll Do - Build and ship high-impact software features across the Gridsight platform - Own features end-to-end: from understanding the problem through to shipping and iterating in production - Make sound trade-offs between speed, quality, and scope to maximise product outcomes - Collaborate with product, data science, and data engineering to shape how our platform evolves - Leverage AI-assisted development tooling to accelerate delivery and raise the bar on what a small team can ship - Contribute to engineering culture: code quality, testing, observability, and knowledge sharing Qualifications - 4–8+ years of software engineering experience with a track record of delivering impact at Senior or Staff level - Strong engineering fundamentals: clean architecture, testing practices, code review, CI/CD — in service of shipping things that matter - Experience shipping user-facing product features in production - Fluency in the use of AI-assisted development tools — you're already using agentic coding tools, LLM-assisted workflows, or similar to accelerate your work - Strong ownership and a bias to action — you take things from idea to working software without waiting to be told Requirements - Experience building LLM-integrated product features in production - Frontend development experience with modern frameworks (React or similar) - Experience in energy, utilities, or infrastructure technology - Distributed systems or data engineering experience Benefits - Competitive salary and equity package - Remote-first, with head office in Sydney - A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter

Gridsight is a rapidly growing Grid/CleanTech startup on a mission to accelerate global electrification and decarbonization. We are building a vertical SaaS platform for electricity utilities, enabling them to modernize grid operations and unlock transformational capabilities such as dynamic operating envelopes and flexible interconnections. Having recently raised our Series A funding from Airtree Ventures, Energy Transition Ventures and Area VC, we are poised for rapid growth and are seeking talented individuals to join us on our mission. As a Customer Solution Engineer at Gridsight, you will play a hybrid role blending solution delivery and customer experience. You’ll be at the forefront of supporting and embedding our platform with utility customers - ensuring delivery of maximum value. This is a unique opportunity to join a rapidly scaling, venture-backed company with global impact in the power industry. Key Responsibilities: Product Delivery and Implementation : Manage the delivery of the Gridsight platform, working closely with US customers to identify, acquire and validate required data sources. Coordinate internal platform setup activities with Gridsight data engineers, including establishing data pipelines and ensuring successful ingestion of customer data. Ensure timely delivery of the platform, meeting defined milestones and performance standards. Conduct thorough quality assurance checks and troubleshoot potential issues to maintain platform quality and performance. Establish and manage the scheduling and maintenance of ongoing data transfers (e.g. regular data transfers), ensuring the platform remains current and aligned with customer refresh requirements. Qualifications: Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related technical field. Experience in a technical role solving complex problems (i.e., software engineer, electrical engineer, data engineer engineer, integration specialist/consultant). Proven experience with data analysis tools and techniques (SQL, Excel, data visualization tools). Strong problem-solving skills and a methodical approach to troubleshooting technical issues. Knowledge and experience with electrical power systems is advantageous. Details-orientated project management skills, with a track record of coordinating cross-functional teams and ensuring on-time, high-quality deliverables. Exceptional communication and presentation skills, capable of interfacing with both technical and non-technical stakeholders to maintain trust and manage expectations. Customer-focused mindset with the ability to build and maintain strong client relationships. Proven problem-solving abilities and a self-starter mentality, comfortable working in a fast-paced startup environment. What We Offer: Join a rapidly scaling venture-backed company on the first floor. Highly competitive salary and equity package. Flexible, hybrid working environment with a high performing, mission-driven team.