
51 - 200 employees
🏗️ Construction
📦 Logistics
🏥 Healthcare
💰 $55M Series E on 2023-02
Construction • Logistics • Healthcare
Zeitview is a company dedicated to accelerating the global transition to renewable energy and sustainable infrastructure. They offer advanced inspection solutions that utilize artificial intelligence and machine learning to analyze visual data. Operating in over 60 countries, Zeitview provides efficient inspections and property insights across various asset classes, including wind, solar, construction, telecom, and utilities. Their solutions aim to deliver safe, fast, and cost-effective inspections, helping customers improve operations and reduce maintenance costs while promoting sustainable energy and infrastructure practices.
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51 - 200 employees
🏗️ Construction
📦 Logistics
🏥 Healthcare
💰 $55M Series E on 2023-02
Construction • Logistics • Healthcare
Zeitview is a company dedicated to accelerating the global transition to renewable energy and sustainable infrastructure. They offer advanced inspection solutions that utilize artificial intelligence and machine learning to analyze visual data. Operating in over 60 countries, Zeitview provides efficient inspections and property insights across various asset classes, including wind, solar, construction, telecom, and utilities. Their solutions aim to deliver safe, fast, and cost-effective inspections, helping customers improve operations and reduce maintenance costs while promoting sustainable energy and infrastructure practices.
• Build and ship Zeitview's primary enterprise platform, Asset Insights • Turn prioritized requirements from vertical product leads into working software • Partner with engineering leads to shape technical approaches • Manage cross-stage dependencies across the inspection pipeline: capture, analysis, and delivery • Deliver complex programs at quality • Evaluate where generative AI, LLM, or agent-based capabilities should replace or augment platform workflows • Negotiate scope trade-offs between vertical product managers competing for engineering capacity • Own the backlog for one or more Asset Insights pipeline stages • Write epics and user stories for engineering execution • Work with operations teams running inspections and delivering reports to identify opportunities to eliminate manual steps • Improve interface contracts between pipeline stages • Establish or refine measurement frameworks and define success criteria before launch • Contribute technical judgment to product strategy set by the Head of Product and VPs of Product • Informally guide team members and coordinate across functions without direct reports
• Bachelor's degree (or higher) in a science, technology, or related field, or equivalent experience • 8+ years of professional experience, with 5+ years in product management • Experience building and shipping enterprise B2B SaaS products • Experience making architectural and scoping decisions affecting product scalability • Hands-on experience with AI/ML-powered product capabilities, including generative AI, LLMs, agent-based systems, or comparable • Ability to evaluate AI feature readiness for production • Ability to participate in technical design discussions with engineering leads • Experience shaping system architecture and evaluating build-vs-buy trade-offs • Experience ensuring viable prototype-to-production paths • Experience delivering complex, ambiguous programs across multiple teams • Ability to coordinate through influence, clarity, and follow-through • Ability to write clear product requirements and specifications • Quantitative reasoning skills, including measurement frameworks, experiment design, and judgment with incomplete data • Strongly preferred: experience working with operational or service delivery teams • Strongly preferred: product management or domain experience in solar, wind, utilities, oil & gas, or commercial properties • Strongly preferred: experience with geospatial data pipelines, remote sensing, or inspection/asset management platforms • Strongly preferred: experience designing evaluation frameworks for non-deterministic AI outputs • Strongly preferred: experience with drone or remote piloted system workflows • Strongly preferred: experience in mobile application development • Candidate must already be located in Boston/New England or the San Francisco Bay Area • Must answer whether visa sponsorship or visa transfer within the USA is currently required
• Competitive base salary • Annual bonus • Stock options • Multiple medical insurance plans, including options with an HSA • 100% coverage of the premium for yourself and your dependents • Unlimited PTO • Work-life balance and mental health prioritization • Autonomy and upward mobility • Diverse, equitable, and inclusive culture • Reasonable accommodation for qualified individuals with disabilities and for seriously held religious beliefs
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