The Role 

As a Lead Full-Stack Engineer, you will play a critical role in architecting, designing, and building scalable, high-performance platforms across both frontend and backend systems. You will operate as a technical leader and strong individual contributor, driving complex engineering initiatives from conception through delivery while ensuring high standards of code quality, system reliability, and developer productivity. On the frontend, you will lead development of modern web applications using React, guiding component architecture, state management strategies, performance optimization, and frontend testing practices. You will work closely with design and product teams to deliver seamless user experiences while ensuring scalable and maintainable UI architectures.

On the backend, you will design and implement enterprise-grade microservices using Java (Spring Boot) and Python, focusing on clean architecture, scalable service design, and maintainable APIs. You will lead system design discussions, define architectural patterns, and ensure long-term platform scalability. You will play a key role in architecting complex distributed systems, evaluating trade-offs, and designing solutions that scale reliably in production environments. As a senior technical leader, you will also actively drive technical initiatives, mentor engineers, and influence engineering best practices across teams.

With exposure to GIS and geospatial technologies, you will contribute to solving complex real-world spatial data challenges at scale.

How you'll make an impact:

• Architect and design scalable distributed systems, defining technical direction for complex product initiatives.
• Lead the development of modern full-stack applications, ensuring high performance, maintainability, and reliability.
• Design and implement robust backend services using Java (Spring Boot) and Python, focusing on scalable microservices architectures.
• Drive system design discussions, influence architecture decisions, and ensure long-term platform evolution.
• Take end-to-end ownership of complex initiatives, independently driving projects from design through delivery.
• Build high-quality frontend applications using React, including component architecture, state management, performance optimization, and testing strategies.
• Integrate frontend applications with backend APIs while ensuring seamless user experiences.
• Leverage AI-assisted engineering tools (Cursor, Claude Code, etc.) to accelerate development workflows and improve engineering productivity.
• Establish and enforce engineering best practices, including code quality standards, testing strategies, and CI/CD pipelines.
• Collaborate cross-functionally with product, design, data, and operations teams to translate business requirements into scalable technical solutions.
• Mentor engineers, conduct design reviews, and help elevate the overall technical maturity of the team.
• Contribute to GIS and geospatial technology implementations, enabling advanced spatial data processing and visualization.
• Continuously improve developer experience, platform reliability, and engineering velocity.

What we're looking for:

• 6–10+ years of professional software engineering experience, with strong exposure to full-stack system development.
• Proven experience architecting and delivering complex, scalable distributed systems.
• Strong experience working as a technical lead or senior individual contributor, driving initiatives independently.
• Deep understanding of system design, microservices architecture, and distributed systems principles.
• Strong expertise in Java and Spring Boot for building scalable, production-grade backend services.
• Proficiency in Python with strong practices around testing, maintainability, and performance.
• Strong experience building modern frontend applications using React, including state management, performance optimization, and testing frameworks.
• Demonstrated experience designing RESTful APIs, including versioning strategies, backward compatibility, and maintainability.
• Strong working knowledge of relational databases (PostgreSQL/MySQL) and NoSQL databases (MongoDB) including schema design and query optimization.
• Experience deploying and operating applications in cloud-native environments (AWS).
• Hands-on experience with Docker, Kubernetes, and containerized deployments.
• Familiarity with performance optimization techniques, including load testing, profiling, caching strategies, and system bottleneck analysis.
• Strong understanding of application security principles, including authentication, authorization (OAuth/JWT), encryption, and secure coding practices.
• Experience designing systems with observability, resilience, service discovery, and fault tolerance.
• Experience implementing and maintaining CI/CD pipelines and automated testing frameworks.
• Comfortable leveraging AI-assisted development tools (Cursor, Claude Code, AI copilots) to enhance engineering productivity.
• Strong problem-solving skills with a high ownership mindset and bias toward action.
• Ability to work independently, take initiative, and lead technical efforts without requiring constant direction.
• Strong communication skills with the ability to articulate technical concepts and architectural decisions clearly.

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work. 

The Role

As a Senior Product Manager, you'll own and drive the strategy, development, and market impact of our AI-powered platforms that help utilities prevent failures, anticipate risks, and respond to emergencies. You’ll lead products across our portfolio, including AIMS for intelligent asset monitoring, IVMS for vegetation and wildfire risk assessment, and CRIS for a unified view of climate and operational risk. Your role will be critical in translating complex technical and operational challenges into actionable product roadmaps that improve grid reliability, safety, and operational efficiency. 

• Asset Inspection and Monitoring System (AIMS): Computer vision and machine learning to detect equipment anomalies, corrosion, structural defects, and failure indicators across transmission and distribution infrastructure  

• Intelligent Vegetation Management System (IVMS): AI-powered assessment of vegetation encroachment risks, growth rates, and wildfire hazards in utility corridors  

• Climate Risk Intelligence System (CRIS): Unified enterprise platform that converges intelligence from AIMS and IVMS to provide a holistic view of wildfire and storm risk, enabling utilities to prioritize investments, optimize maintenance strategies, and make data-driven decisions during both day-to-day operations and emergency events  

You'll take full ownership of your product area, collaborating closely with engineering, customer success, sales, and leadership to deliver solutions from concept to enterprise adoption. Success in this role requires balancing competing priorities, synthesising insights from diverse stakeholders, and making fast, high-impact decisions in a scaling organisation. Working at the intersection of AI, utility operations, and infrastructure resilience, your product leadership will directly prevent outages, enhance emergency preparedness, and strengthen critical infrastructure for millions of people. 

How you'll make an impact: 

• Implement AiDASH 2026 Product Vision - rebuilding the utilities product stack from scratch, which includes an integrated product experience with Generative AI as a core component.
• Incorporate Agentic AI into Product Workflows — define how autonomous, multi-step AI workflows get designed and delivered across AiDash's utility product portfolio, including asset inspection, vegetation management, and climate risk use cases. 

• Drive end-to-end product ownership — from problem discovery and roadmap definition through engineering collaboration, launch, and adoption — with a bias toward outcomes over output. 

• Translate field operations into AI-native products — work closely with utilities customers to understand maintenance and inspection workflows (e.g., vehicle-based photo capture, asset condition monitoring) and reimagine them as intelligent, automated pipelines. 

• Partner with AI/ML and engineering teams — deeply engage with data science and computer vision teams to shape model capabilities, define evaluation criteria, and make sharp trade-offs between automation accuracy and human review thresholds. 

• Define and track the right metrics — go beyond feature adoption to track workflow automation rates, human-override frequency, time-to-resolution, and downstream operational impact for customers. 

• Stakeholder alignment and communication — synthesize inputs from customers, sales, customer success, and engineering into a coherent roadmap; communicate clearly across technical and non-technical audiences. 

• Conduct market and competitive research — stay current on the evolving agentic AI landscape, identify whitespace, and ensure AiDash's approach is differentiated. 

What we're looking for: 

• 4–8 years of product management experience, with a strong focus on B2B SaaS products

• Hands-on experience building or shipping agentic AI systems or autonomous workflow products — not just products that use AI as a feature, but systems where AI agents drive multi-step decision-making 

• Familiarity with computer vision applications — understanding how image/video data is processed, modeled, and operationalized in real-world workflows

• Experience designing human-in-the-loop systems — knowing where to place human checkpoints, how to handle model uncertainty, and how to build operator trust in AI outputs 

• Strong product instincts with sharp analytical and quantitative skills 

• Excellent communication and stakeholder management skills; comfortable working across engineering, data science, sales, and customer-facing teams 

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline 

• Good to have exposure to GIS, satellite imagery, or remote sensing products. 

• Experience working with enterprise customers on workflow digitization or automation initiatives 

• Familiarity with AI/ML model lifecycle management and evaluation frameworks 

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.  

The Role

The goal of the product management team at AiDash is to understand our users and to build innovative products. We aim to empower our users to harness the potential of our products through easy-to-use, intuitive designs and workflows. 

As a Product Manager at AiDash, you will be responsible for the end-to-end product lifecycle, requiring a self-starter mindset and a strong attention to detail. You must be deeply data-oriented and be able to leverage AI in ecologist and customer workflows.  

How you'll make an impact: 

• Conduct market research, competitive analysis, and customer segmentation to identify opportunities and unmet needs. 

• Drive product strategy by aligning the company vision and goals with market demands, customer needs, our AI/ML capabilities, and the latest technological advancements 

• Partner closely with Sales and Product Marketing teams on strategy and execution around distribution and pricing 

• Gather and prioritize product requirements from various stakeholders, including customers, sales, marketing, and engineering 

• Own the product definition from ideation through growth to help large enterprises optimize their operations and improve resilience 

• Own the product roadmap and requirements aligned with business objectives 

• Collaborate with multiple teams, such as design and engineering, to ensure high-quality product delivery while considering all short-term and long-term trade-offs in technical decisions 

• Define and drive key metrics for adoption and usage. Track key performance indicators (KPIs) and analyze product performance to identify areas for improvement.  

• Collaborate with customer success to drive adoption and business value, and establish processes for gathering customer feedback. 

• Effectively communicate product updates, roadmap changes, and performance results to key stakeholders. 

What we're looking for: 

• 2-4 years of product management, focusing on building customer-facing B2B or B2C SaaS products 

• Experience with vibe coding and prototyping tools  

• Experience working with SQL or python 

• Passionate about applying design thinking and a customer-centric approach to building, experimenting with, and iterating on innovative products  

• Strong analytical and quantitative skills, and decision-making ability 

• Excellent communication and stakeholder management skills 

• Experience working in a high-growth, fast-paced environment 

• Experience working with analytical models, AI models or Data Science teams is a plus 

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline 

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.  

The Role 

As a Senior Full-Stack Engineer (L2), you will play a key role in designing and building scalable, high-performance products across frontend and backend systems. You will work on modern web applications using React, driving component design, state management, performance optimization, and frontend testing while ensuring seamless integration with backend APIs

On the backend, you will design and develop robust microservices using Python and Java (Spring Boot), contributing to RESTful API design, versioning, and long-term maintainability. You will work with relational and NoSQL databases, applying strong schema design and query optimization practices. You will actively participate in architectural discussions, influence system design decisions, and help establish engineering best practices that improve developer productivity and code quality. With exposure to GIS and geospatial technologies, you will contribute to solving complex real-world problems at scale.

How you'll make an impact:

• Exposure to working with GIS tools and geospatial technologies.
• Gaining experience leading large initiatives, driving technical design discussions, and mentoring engineers.
• Collaborating cross-functionally with product, design, and operations teams.
• Improving developer productivity, establishing best practices, and contributing to architectural decisions
• Integrating frontend applications with backend APIs and ensuring seamless user experiences.
• Enhancing the experience of building modern web applications using React, including state management, component design, performance optimization, and frontend testing.

What we're looking for:

• Strong problem-solving skills and ownership mindset in fast-paced environments.
• 5+ years of experience designing and building scalable, reusable products and components across frontend and backend systems.
• Strong experience working in a full-stack role, delivering end-to-end solutions from UI to backend services.
• Demonstrated expertise in microservices architecture, distributed systems, and overall systems design.
• Solid understanding of data structures, algorithms, and software engineering fundamentals.
• Proficiency in Python with strong practices around unit testing, code quality, and coverage.
• Good hands-on experience with Java and Spring Boot for building enterprise-grade backend services and APIs.
• Deep understanding of RESTful API design, development, versioning, and maintenance.
• Strong working knowledge of relational databases (PostgreSQL/MySQL) and/or NoSQL databases such as MongoDB, including schema design and query optimization.
• Operational experience with Docker, Kubernetes, and AWS, including deploying and managing services in cloud environments.
• Knowledge of performance optimization techniques such as load testing, profiling, caching strategies, and identifying bottlenecks across the stack.
• Understanding of backend and application security principles, including encryption, authentication, authorization (e.g., OAuth/JWT), and secure coding practices.
• Familiarity with distributed system concepts such as load balancing, service discovery, resilience patterns, and observability.
• Experience implementing CI/CD pipelines and maintaining high engineering standards across the development lifecycle.

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.