
Senior Product Manager
Posted Sep 3

Posted Sep 3
This is a fully remote position, open to applicants in United States.
• Develop and refine product strategies for workplace management and employee engagement functionalities.
• Take ownership of and enhance a multi-year roadmap that encompasses workplace insights, real estate optimization, engagement, and customer outcomes.
• Collaborate with Design and Research teams for ongoing discovery, identifying customer needs, testing assumptions, validating concepts, and recognizing opportunities.
• Analyze customer feedback, product analytics, competitive indicators, and AI-assisted research to prioritize impactful challenges.
• Utilize AI agents and copilots for synthesizing research, developing requirements, conducting scenario analysis, prototyping, and communicating product details.
• Spot opportunities in agentic AI and emerging technologies, transforming them into reliable, intuitive, and responsible product experiences.
• Work closely with Engineering and Design teams on a daily basis to clarify objectives, make trade-offs, eliminate ambiguity, and deliver high-quality features.
• Establish success metrics prior to launch and utilize data on adoption, behavior, efficiency, retention, and business impact to inform decisions.
• Collaborate with Product Marketing, Sales, Customer Success, and Support for positioning, launches, adoption, and gathering market feedback.
• Adapt priorities in response to evolving customer needs, technological advancements, and market dynamics.
• Over 5 years of experience in Product Management within the B2B SaaS sector, with full ownership from discovery to launch and iteration.
• Proven history of shaping product strategies, managing intricate roadmaps, and delivering quantifiable customer and business outcomes.
• Strong skills in product discovery, including problem framing, assumption testing, customer research, and signal analysis.
• Excellent product judgment with the ability to balance customer needs, technical limitations, data, and commercial objectives.
• Data-driven approach to product decision-making, encompassing the definition of success metrics and leveraging analytics.
• High fluency in AI with daily integration of AI in product-related tasks.
• Proficient in AI orchestration, including workflows, AI-agent delegation, context and constraints management, output verification, and human judgment.
• Experience in AI-assisted prototyping, rapid application development, or vibe-coding tools.
• Capability to assess agentic AI opportunities based on customer value, feasibility, reliability, risk, and measurement criteria.
• Effective communication skills across Engineering, Design, Research, and GTM teams.
• A builder mentality characterized by ownership, rapid learning, and the ability to transition from ambiguity to measurable impact.
• A high-performance culture that emphasizes accountability, focus, drive, recognition, and rewards for excellence.
• Ownership and the autonomy to innovate, along with support to achieve success.
• A technology-forward environment that integrates AI and advanced solutions.
• A culture of continuous learning and professional development.
• Emphasis on innovation and agility in a fast-paced setting.
• A collaborative and results-driven workplace.
• Comprehensive and competitive global benefits packages that support health, well-being, and financial security.
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