{"id":3135496,"url":"https://alion.io/job/hirevouch-technical-product-manager-ai","title":"Technical Product Manager - AI","company":{"id":4415880,"name":"hireVouch","domain":"hirevouch.com","url":"https://alion.io/company/hirevouch","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"CATS","truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":96000,"max_usd":159000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":46},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-10-23T05:34:23Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-27T20:17:04Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Your OpportunityFounded 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.\nTheir 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.\nAs 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.\nAs 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.\nKey Responsibilities\nExecution 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\nRequirements translation: Partner with business and commercial stakeholders to convert customer needs and market signals into well-defined technical requirements for engineering and data teams\nExecutive 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\nArchitecture alignment: Collaborate with engineering teams to ensure cloud-native systems and data platforms can support large-scale data processing and model deployment\nInfrastructure strategy support: Contribute to the evolution of machine learning service infrastructure to meet performance, reliability, and scalability needs for enterprise-facing use cases\nDependency management: Coordinate the lifecycle of interconnected data pipelines, models, and services, ensuring upstream and downstream changes are communicated and integrated across teams\nSprint and ritual leadership: Lead day-to-day execution practices, ensuring work is well-scoped, documented, and tracked through consistent engineering workflows\nCross-team orchestration: Manage critical paths across data engineering, machine learning, and cloud infrastructure to prevent delivery blockers and maintain development momentum.\nResource and priority sequencing: Support leadership in making informed decisions about technical investments, tradeoffs, and the ordering of major initiatives\nTech Stack\nData and ML systems: Large-scale data ingestion pipelines, machine learning pipelines, model deployment infrastructure\nProgram and delivery tools: Engineering ticketing systems, dashboarding and reporting tools, sprint and workflow management platforms\nYour Know-How\n5+ years owning product delivery in deeply technical domains (data platforms, ML products, infrastructure-heavy systems, or developer/platform products)\nYou 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\nYou can operate in early-stage ambiguity while building the foundations enterprise customers expect around delivery, documentation, reporting, executive communications and operational maturity\nYou can reason about system design, data flows, and ML lifecycle enough to ask sharp questions, spot gaps, and drive clarity\nYou 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\nYou are comfortable working with cloud-native architectures and the tradeoffs involved in scaling ingestion, compute, storage, latency, reliability, and cost\nYou create crisp requirements that reduce ambiguity (well-scoped epics, user stories, acceptance criteria) and definitions of done that teams can actually execute against\nIt’s a Bonus If\nYou have experience working with data collected from sensor-based, geospatial, or field-deployed systems\nYou have worked with (or adjacent to) atmospheric modeling, forecasting systems, or high-stakes environmental prediction\nYou have experience supporting government customers, utilities, or regulated enterprises, including longer buying cycles, compliance requirements, and high standards for documentation and auditability\nYou owned the implementation of reporting frameworks for board-level and executive-level technical visibility","description_format":"text","description_chars":5276,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-10-23T05:34:23Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely 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