Remote Product Manager - Lighting/Electrical

Opportunity

Were looking for a Product Manager to help shape the future of Stratusphere and work as part of an empowered product team solving meaningful customer and business problems.
This is a hands-on product role at the intersection of customers, business, design, and technology. Youll develop a deep understanding of our users, buyers, market, business, and product, and work closely with Design and Engineering to discover solutions that customers value, are usable and technically feasible, and work for the business.
Were building an AI-native platform for cloud infrastructure management in a market that is changing quickly. Youll be expected to develop strong product judgment, challenge assumptions, spend meaningful time with customers, use evidence to reduce risk, and work collaboratively with the team to discover the best solutions to important problems.
Youll also be expected to use AI aggressively as a force multiplier, accelerating research, analysis, synthesis, exploration, prototyping, experimentation, and execution while maintaining personal ownership of the judgment, reasoning, creativity, and taste behind the work. You should be comfortable building prototypes yourself and, when it makes sense, using AI to contribute lightweight production code to help the team learn or move faster.

Own Product Outcomes:

Work with product leadership, Design, and Engineering to turn company and product strategy into clear problems to solve and measurable outcomes. Maintain focus on whether the work is creating meaningful customer and business results.
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Own Value and Viability Risk:

Develop the evidence and judgment needed to determine whether customers will choose to use or buy what we build and whether proposed solutions work for the business. Consider factors such as customer value, monetization, go-to-market, operational implications, legal or compliance constraints, and strategic fit.
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Develop Deep Customer and User Understanding:

Spend meaningful time with customers, users, prospects, Customer Success, Sales, and other stakeholders to understand workflows, pain points, motivations, behaviors, constraints, and unmet needs. Become an expert in how customers use Stratusphere and the environments in which they operate.
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Drive Continuous Product Discovery:

Work side-by-side with Product Design and Engineering to rapidly explore problems, identify opportunities, generate potential solutions, assess risk, build prototypes, run experiments, and gather evidence before committing significant engineering effort.
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Treat product development as a collaborative problem-solving process rather than a handoff. Bring customer and business context, work with Design on experience and usability, and engage Engineering early enough for technical insight to shape the solution.
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Translate customer signals, business goals, product data, market context, and strategic priorities into well-framed problems and opportunities. Prototype to Learn:

Use prototypes, AI-assisted development tools, data, simulations, and lightweight experiments to quickly make ideas tangible and test assumptions. Use Data and Evidence to Make Decisions:

Combine qualitative customer learning with quantitative product and business data to understand behavior, diagnose problems, prioritize opportunities, evaluate solutions, and measure whether shipped work is producing the intended outcome.
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Understand the Business Deeply:

Develop strong knowledge of StratusGrids business model, customers, pricing, go-to-market motion, competitive environment, partnerships, operational constraints, and strategic priorities. Use that understanding to ensure product decisions create value for both customers and the company.
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Account for the needs of both hands-on technical users and the leaders or economic buyers responsible for business outcomes.
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Bring customer, market, product, technology, and business insight into product strategy. Prioritize Based on Impact and Evidence:

Make thoughtful tradeoffs across opportunities, risks, customer needs, strategic importance, and available capacity. Stay accountable after something ships. Define success measures, observe real customer behavior and business impact, identify unexpected consequences, and continue iterating until the intended outcome is achieved or the evidence indicates a different direction.
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Partner on positioning, pricing and packaging inputs, product launches, customer communication, and market learning. Bring deep product and customer context, contribute wherever your perspective or skills add value, and work collaboratively across functional boundaries when that helps the team move faster or produce a better outcome.
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Create Leverage with AI:

Use modern AI tools to accelerate customer-research synthesis, data analysis, competitive exploration, ideation, prototyping, experimentation, documentation, and execution. Build repeatable workflows that improve the speed and quality of product work without outsourcing judgment or critical thinking.
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Contribute Technically When Useful:

Be comfortable using AI to work with technical systems, APIs, data, code, and AI development tools. Experience managing B2B technology products, preferably SaaS, infrastructure, developer, cloud, AI, data, or another technically complex product.
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Demonstrated experience solving customer and business problems with cross-functional teams rather than primarily managing feature requests, requirements, backlogs, or delivery schedules.
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Strong Product Judgment:

Ability to make high-quality decisions with incomplete information, identify the most important risks and assumptions, distinguish strong evidence from weak signals, and know when additional discovery is necessary.
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Deep Customer Orientation:

A willingness and ability to spend meaningful time directly with customers and users, understand their work in context, and use those insights to inform product decisions.
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Strong Business and Commercial Judgment:

An understanding of how customer value, product strategy, pricing, go-to-market, enterprise buying behavior, operations, and company economics interact. Experience building or managing products sold into organizations with multiple users, stakeholders, decision-makers, and buying or approval processes.
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Ability to develop a deep understanding of Stratusphere customers environments, workflows, jobs-to-be-done, constraints, and technical problems. Comfortable speaking credibly with cloud, platform, infrastructure, FinOps, and engineering stakeholders and asking the questions needed to uncover root causes, tradeoffs, and unmet needs.
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Ability to Reason About Technical Use Cases:

Able to understand how cloud infrastructure, engineering workflows, organizational processes, and operational constraints shape customer behavior and product needs. Translate that understanding into better problem framing, discovery, prioritization, and solution evaluation.
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Strong Analytical Capability:

Ability to work with product usage data, customer signals, experiments, operational metrics, and business data to identify problems, develop hypotheses, evaluate opportunities, and measure outcomes.
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Comfort working closely with Product Design, Engineering, Product Marketing, Sales, Customer Success, executives, and other stakeholders. Strong written and verbal communication that helps teams reason clearly and make better decisions.
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Ability to operate effectively when the product, market, technology, and customer expectations are changing quickly and many of the answers need to be discovered rather than inherited.
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A bias toward measuring success by customer and business results rather than roadmap completion, feature volume, or output.
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Ability to move quickly without lowering the bar for the quality of thinking.
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Comfort using modern AI tools extensively throughout the product management workflow, including research, synthesis, analysis, ideation, prototyping, experimentation, and development. Travel:

Willingness and ability to travel periodically, as needed, for customer engagements, team planning sessions, or onsite work.
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Remote-Work-Ready:

Equipped to work effectively in a distributed team, including a reliable high-speed internet connection, a professional and distraction-limited workspace, and the ability to consistently communicate, collaborate, and execute independently.
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Cloud Infrastructure or FinOps Domain Experience:

Direct familiarity with AWS, Azure, GCP, cloud economics, FinOps, infrastructure as code, platform engineering, observability, or adjacent technical domains.
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Experience building products where AI agents, LLMs, automation, or machine learning are core parts of the product rather than peripheral features.
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Engineering Background:

Previous professional experience in software engineering, solutions engineering, data engineering, cloud engineering, or another hands-on technical discipline.
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Experience discovering, validating, and bringing significant new products or capabilities from early concept through customer adoption.
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Developer-Tool or Platform-Product Experience:

Experience building products for engineers, platform teams, DevOps, SRE, FinOps, or other technical practitioners who have a particularly high bar for product credibility and usefulness.
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Data-Intensive Product Experience:

Experience using large or complex datasets, telemetry, analytics, or operational data as a core part of product discovery and decision-making.
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Experience Building with AI Coding Tools:

Hands-on experience using tools such as coding agents, AI IDEs, or other AI-assisted development environments to prototype, test, and ship working software.

We offer competitive pay and a flexible benefits package that supports employees and their families at every stage. Full-time employees receive:
• Medical, dental, and vision insurance
• Life insurance and short-term and long-term disability coverage
• Flexible PTO, paid sick leave, and paid holidays
We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. If you need an accommodation, please note it in your application or contact us through our website.

StratusGrid is building Stratusphere, a multi-agent platform that turns cloud complexity into measurable outcomes. Stratusphere coordinates specialized infrastructure agents to observe AWS and Azure environments, simulate policy-safe plans, and execute approved changes with auditability and rollback-ready safety, so savings compound over time, security improves, delivery accelerates, and teams spend less time on toil and fire drills.
Were a team of builders and operators who care about trustworthy automation and real business impact. Our work sits at the intersection of cloud engineering, product, and customer outcomes, helping customers make infrastructure changes they can measure, explain, and stand behind.