Staff Product Manager, AI Applications

<h3>Accountabilities</h3><li>
<strong>Product strategy and vision</strong>
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<li>Define and own the overall strategy for the AI applications product line, identifying target users, market opportunities, product positioning, and competitive differentiation.</li><li>Establish a clear product vision and strategic direction, document key decisions, and communicate recommendations to executive leadership.</li><li>Determine which applications to develop, which customer problems to prioritize, and how the portfolio can generate sustainable revenue and profitability.</li><li>Maintain strategic focus while incorporating new evidence, customer feedback, technical developments, and evolving business priorities.</li><li>
<strong>Roadmap ownership and product execution</strong>
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<li>Own the product roadmap, prioritizing features, releases, and investments based on customer value, business impact, technical feasibility, and available resources.</li><li>Guide products from early concepts and prototypes through development, launch, iteration, and broader adoption.</li><li>Make informed trade-offs regarding scope, timing, functionality, and performance to deliver meaningful outcomes.</li><li>Partner with engineering and design teams to translate product requirements into effective, intuitive user experiences.</li><li>Use mockups, wireframes, working prototypes, and hands-on product experimentation to communicate ideas and accelerate decision-making.</li><li>
<strong>Business growth and monetization</strong>
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<li>Build the commercial foundations of the AI applications portfolio, owning acquisition, activation, retention, monetization, and overall business performance.</li><li>Define key performance indicators, establish measurable targets, and regularly assess whether products are gaining traction and progressing toward profitability.</li><li>Analyze user behavior, conversion funnels, engagement, and revenue performance to identify opportunities for improvement.</li><li>Validate metrics and challenge potentially misleading data before making strategic decisions, ensuring product investments are grounded in reliable evidence.</li><li>Develop and execute an iterative operating rhythm based on hypotheses, product releases, honest measurement, and subsequent experimentation.</li><li>
<strong>Customer engagement and cross-functional collaboration</strong>
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<li>Represent the product in discussions with customers and partners, gathering insights and managing commitments regarding product capabilities and delivery timelines.</li><li>Work closely with research teams to understand model capabilities and limitations, and with engineering teams to deliver technically robust applications.</li><li>Collaborate with design and marketing teams on user experience, product positioning, launches, and go-to-market execution.</li><li>Incorporate customer feedback and user research into product decisions, using real-world adoption and usage as primary indicators of success.</li><li>Engage internal employees as early users to validate assumptions, identify usability issues, and refine applications before broader releases.</li><li>
<strong>Technical innovation and continuous improvement</strong>
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<li>Personally prototype concepts, test emerging AI capabilities, and use advanced AI tools to accelerate product development and problem-solving.</li><li>Evaluate model performance, latency, privacy, reliability, and platform trade-offs in collaboration with technical teams.</li><li>Identify where AI can improve user experiences, understand where models may fail, and establish appropriate methods to validate outputs.</li><li>Promote a culture of experimentation, continuous learning, and evidence-based decision-making in a rapidly evolving AI landscape.</li><h2>Requirements</h2><li>Demonstrated success as a senior product manager or equivalent product leader, with strong ownership of product strategy, roadmap decisions, execution, and measurable business outcomes.</li><li>Proven experience taking a consumer or prosumer application to market that users actively chose and paid for. This is a core requirement.</li><li>Demonstrated zero-to-one product development experience, including defining a product concept, establishing positioning, launching an initial version, and driving real-world user adoption.</li><li>Deep, hands-on AI expertise demonstrated through personally building and shipping AI capabilities within end-user applications. Candidates must understand model strengths, limitations, failure modes, and methods for validating outputs.</li><li>Strong commercial and analytical judgment, including experience managing product funnels, defining performance metrics, interpreting user behavior, and improving acquisition, activation, retention, and monetization.</li><li>Technical depth sufficient to collaborate effectively with engineers on architecture, AI models, latency, privacy, and platform constraints, as well as the ability to read code and build prototypes.</li><li>Strong product design sensibility, with the ability to create or communicate ideas through mockups, wireframes, and functional prototypes informed by user research and testing.</li><li>Excellent decision-making skills in ambiguous environments, including the ability to evaluate competing priorities, make trade-offs, and maintain strategic clarity under executive scrutiny.</li><li>Strong analytical rigor and critical thinking, particularly when assessing the reliability of metrics, validating assumptions, and distinguishing meaningful signals from measurement artifacts.</li><li>Excellent communication and stakeholder management skills, with the ability to present clear recommendations, explain product decisions, and influence cross-functional teams without relying on formal authority.</li><li>A hands-on, entrepreneurial mindset, with a willingness to prototype, experiment, use AI tools extensively, and continuously adapt to new technologies and working methods.</li><li>Ability to operate effectively in a fast-paced environment where priorities evolve quickly and product decisions must be informed by continuous experimentation and real user feedback.</li><li>Experience developing native desktop or mobile applications for platforms such as Windows, macOS, or iOS is an advantage.</li><li>Experience launching products through distribution partners or third-party platforms, particularly where external release schedules and dependencies influence delivery, is desirable.</li><li>Familiarity with voice AI, audio technologies, or real-time systems is preferred.</li><li>Experience working in businesses that combine self-service products with enterprise offerings is a plus.</li><h2>Benefits</h2><li>
<strong>Competitive base salary:</strong>
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<li>San Francisco, New York City, and Seattle:<strong>$215,000–$268,000 per year</strong>.</li><li>Other U.S. locations:<strong>$200,000–$250,000 per year</strong>.</li><li>
<strong>Equity opportunities:</strong>Eligibility for equity compensation, offering the opportunity to participate in the company's long-term growth.</li><li>
<strong>Performance-based bonuses:</strong>Additional bonus opportunities beyond the stated base salary.</li><li>
<strong>Fully remote work:</strong>Work remotely from anywhere in the United States.</li><li>
<strong>Strategic ownership:</strong>Lead the direction, development, and commercial success of a new AI applications product portfolio.</li><li>
<strong>Entrepreneurial environment:</strong>Build products from the ground up, test ideas quickly, and influence strategic decisions directly.</li><li>
<strong>Advanced AI innovation:</strong>Work at the forefront of voice AI and AI-powered applications, with opportunities to experiment with emerging models and technologies.</li><li>
<strong>Cross-functional collaboration:</strong>Partner with engineering, research, design, and marketing teams to bring innovative products to market.</li><li>
<strong>Professional growth:</strong>Develop expertise in AI product strategy, product-led growth, monetization, and emerging application markets.</li>