--- title: 'Senior Technical Product Manager at Lutra' canonical: 'https://feeny.ai/job/senior-technical-product-manager-lutra-vancouver-pvfd7s50nv44' type: 'job' last_seen: '2026-09-09' --- # Senior Technical Product Manager at Lutra - **Company:** Lutra - **Location:** Vancouver, Canada - **Compensation:** $115k–$140k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-12 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.gem.com/lutra/am9icG9zdDo_YuA4lZitWSB6Eu_DYHFh ## Job description ## Your Opportunity Founded in 2024 our client is a seed-stage startup with a pioneering approach to wildfire prevention, leveraging novel, predictive models to prevent catastrophic wildfires ignited by lightning over (and near) high-risk areas. Lightning strikes account for 60% of wildfires in Canada, resulting in 93% of the burned area and emissions and their technology focuses on reducing wildfire occurrences and emissions by suppressing lightning strikes before they ignite these fires. Their work combines cutting-edge geospatial data analysis, machine learning, and computer vision to create a first-of-its-kind solution that anticipates and prevents lightning-induced wildfires at their source. This is a rare opportunity to build entirely novel capability and to contribute to a critical area of research that’s largely uncharted. As a Senior Technical Product Manager, you will help translate scientific research, machine learning development, and cloud-based engineering into a clear, production-focused roadmap that leadership and external stakeholders can rely on for planning and execution. The work connects applied research, software delivery, and commercial readiness into a single, visible operating model. As the company scales its platforms and enterprise-facing systems, you will establish the execution frameworks, dependency management practices, and communication layers that allow complex technical progress to be understood, sequenced, and delivered with confidence. ## Key Responsibilities - Execution framework ownership: Establish and maintain progress tracking systems and dashboards that provide leadership with clear visibility into development velocity and milestone delivery on a recurring basis - Requirements translation: Partner with business and commercial stakeholders to convert customer needs and market signals into well-defined technical requirements for engineering and data teams - Executive partnership: Serve as a technical advisor to senior leadership, communicating tradeoffs, risks, and timelines in a way that supports go-to-market planning and decision-making - Architecture alignment: Collaborate with engineering teams to ensure cloud-native systems and data platforms can support large-scale data processing and model deployment - Infrastructure strategy support: Contribute to the evolution of machine learning service infrastructure to meet performance, reliability, and scalability needs for enterprise-facing use cases - Dependency management: Coordinate the lifecycle of interconnected data pipelines, models, and services, ensuring upstream and downstream changes are communicated and integrated across teams - Sprint and ritual leadership: Lead day-to-day execution practices, ensuring work is well-scoped, documented, and tracked through consistent engineering workflows - Cross-team orchestration: Manage critical paths across data engineering, machine learning, and cloud infrastructure to prevent delivery blockers and maintain development momentum. - Resource and priority sequencing: Support leadership in making informed decisions about technical investments, tradeoffs, and the ordering of major initiatives Tech Stack - Data and ML systems: Large-scale data ingestion pipelines, machine learning pipelines, model deployment infrastructure - Program and delivery tools: Engineering ticketing systems, dashboarding and reporting tools, sprint and workflow management platforms ## Your Know-How - 5+ years owning product delivery in deeply technical domains (data platforms, ML products, infrastructure-heavy systems, or developer/platform products) - You have led or managed programs involving large-scale data platforms, machine learning systems, and cloud infrastructure and are able to translate complex technical and scientific work into clear, business-focused updates for senior stakeholders and leadership - You can operate in early-stage ambiguity while building the foundations enterprise customers expect around delivery, documentation, reporting, executive communications and operational maturity - You can reason about system design, data flows, and ML lifecycle enough to ask sharp questions, spot gaps, and drive clarity - You have experience translating ML work into product outcomes, including understanding datasets, model iteration cycles, evaluation metrics, monitoring, model drift, and the realities of deploying and operating ML in production - You are comfortable working with cloud-native architectures and the tradeoffs involved in scaling ingestion, compute, storage, latency, reliability, and cost - You create crisp requirements that reduce ambiguity (well-scoped epics, user stories, acceptance criteria) and definitions of done that teams can actually execute against It’s a Bonus If - You have experience working with data collected from sensor-based, geospatial, or field-deployed systems - You have worked with (or adjacent to) atmospheric modeling, forecasting systems, or high-stakes environmental prediction - You have experience supporting government customers, utilities, or regulated enterprises, including longer buying cycles, compliance requirements, and high standards for documentation and auditability - You owned the implementation of reporting frameworks for board-level and executive-level technical visibility ## About Lutra ## Company Overview - **One-liner**: Lutra is a water and wastewater process engineering consultancy and software provider, delivering smarter solutions to protect water, the environment, and people’s health. - **Entity Type**: Private - **Headquarters**: Lower Hutt, New Zealand - **Founded**: 2006 - **Founders**: Not publicly available ## Core Business - **Primary industry/industries**: Water & Wastewater Treatment, Utilities, Environmental Engineering, Data Management Software - **Target customers**: Government municipalities, industrial clients in New Zealand, and international clients in the water and wastewater sector (B2B, Enterprise) - **Mission or purpose statement**: "To protect water, the environment and people's health, by providing smarter solutions." ## Products & Services For each major offering: - **Infrastructure Data (ID)**: A market-leading, scalable, cloud-based operations and compliance management software platform. It is designed to improve operational performance, data quality, and reduce organisational risk for water and wastewater treatment assets. The software is used to manage assets accounting for 75% of New Zealand’s population. - **Water & Wastewater Process Engineering**: Expert consultancy services including options studies, process design, commissioning support, and optimisation for water and wastewater treatment plants (e.g., activated sludge systems, MABR). - **Advanced Process Control (APC)**: Services to improve plant performance, efficiency, and compliance through advanced control strategies. - **Training**: Operational training and knowledge transfer for clients in the three waters industry. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Annual Revenue of USD 5,400,000 (estimated); Total Funding of USD 60,100 (from two grants by Callaghan Innovation in 2016 and 2017). - **Notable Investors/Partners**: Callaghan Innovation (grant provider), and a supportive global parent company (not named in sources). - **Growth Signals**: The company has grown from a small team in 2006 to a team of 35. It serves 30+ clients in NZ’s government and industrial space, plus 25+ international clients. Its software holds the market majority for compliance management in NZ. ## Competitive Advantages - **Deep Domain Expertise**: One of the largest water process engineering teams in New Zealand, with two decades of experience. - **Market Leading Software**: The Infrastructure Data platform is the trusted industry solution for compliance and operations management, serving the majority of the NZ population’s water assets. - **End-to-End Solutions**: Combines expert engineering knowledge with innovative technology (software, APC, training) to provide comprehensive solutions. - **Outcomes-Focused**: Prioritises customer needs and delivers excellence through deep upfront understanding of client requirements. ## Strategic Focus - **Growth and Expansion**: Actively seeking a Domestic Business Development Manager to secure Lutra’s position in the reformed water sector in New Zealand. - **Talent Development**: Focused on building career pathways and developing employees through a supportive global parent company, aiming for a "no glass ceiling" environment. - **Sustainability**: Committed to reducing emissions and developing sustainable operating practices, reflected in their Statement of Intent and Mission. ## Why Work Here - **Culture**: Described as a team of experts committed to excellence, with a strong focus on people. The company invests heavily in training, work/life balance, and providing a safe, healthy, and fun workplace. - **Flexibility**: All employees have flexibility to work from home and are provided with packages to do so. There are no enforced traditional start or finish times, offering trust and autonomy. - **Wellbeing Package**: Includes comprehensive Health Insurance, an employee assistance provider, wellbeing days, and a 6-monthly allowance. - **Career Development**: Formal career pathways are in place, and the company supports training and development with a "no glass ceiling" philosophy due to its global parent company. - **Compensation**: Competitive compensation and an annual bonus scheme for all employees. - **Remote/Hybrid Policy**: Highly flexible with a strong work-from-home culture. ## Sources 1. [lutra.com/about](https://www.lutra.com/about-us) 2. [lutra.com/careers](https://www.lutra.com/careers) 3. [linkedin.com/company/lutra-ltd](https://linkedin.com/company/lutra-ltd) 4. [lutra.com/our-team](https://www.lutra.com/our-team) 5. 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