Sr. Product Manager

We are looking for an impact-oriented Sr. Product Manager to bridge the gap between complex data and human collaboration. You'll join a high-caliber squad of designers and engineers building everything from tailored, persona-based solutions to the scalable infrastructure that powers them-including intelligent features that leverage AI.

We aren't just looking for a "feature-shipper"; we need a strategic partner who thrives on technical complexity and maintains a relentless obsession with elegant user experiences.

If you are a natural mentor who excels at distilling the ambiguity of a rapidly evolving platform into a clear vision, join us-let's build the future of visual collaboration together.

Responsibilities: - Partner with UX, Engineering, Analytics, Marketing, Sales, and other Product teams to champion the customer and deliver high-impact product experiences. - Conduct effective qualitative and quantitative research to develop deep expertise in how customers think, collaborate, and solve complex problems. - Lead products and capabilities from initial discovery and validation through definition, development, launch, analysis, and continuous iteration. - Rapidly test assumptions and de-risk new opportunities through prototypes, experiments, customer research, data analysis, and iterative learning. - Ruthlessly prioritize roadmaps and clearly communicate strategic trade-offs based on customer value, business impact, technical feasibility, and measurable outcomes. - Identify opportunities where AI, intelligent automation, and emerging technologies can meaningfully improve customer outcomes, while recognizing when more traditional product approaches are the better solution. - Define and move key customer and business metrics through a disciplined approach to product optimization, experimentation, and data analysis.

Requirements: - Bachelor's degree or equivalent practical experience and 5+ years of software Product Management experience, with a proven track record of building successful B2B SaaS products and driving meaningful business outcomes. - Create clarity and momentum in ambiguous environments by identifying the decisions that matter most, making sound trade-offs with the best available information, and enabling teams to learn and move quickly without waiting for perfect certainty. - Strong skills in de-risking initiatives through customer research, rapid prototyping, experimentation, and creative lean-learning methodologies. - Exceptional product judgment, with the ability to identify important customer problems, evaluate emerging opportunities, and balance customer needs, business objectives, and technical constraints. - Experience working closely with Engineering and UX to navigate technical complexity and translate complicated workflows into simple, intuitive, and polished experiences. - Practical understanding of modern AI capabilities and limitations, including generative AI, large language models, agentic workflows, retrieval-based systems, and AI evaluation approaches. - Ability to identify where AI can create meaningful customer value, assess the risks and trade-offs of AI-powered experiences, and collaborate effectively with Engineering and Data Science partners. - A proactive approach to seeking feedback, learning quickly, navigating emerging technologies, and iterating based on data, customer insights, and team input.

Preferred

Qualifications: - Experience developing or launching products that incorporate generative AI, intelligent automation, agentic workflows, or other AI-powered capabilities. - Experience leading new product discovery, rapid prototyping, or innovation initiatives in ambiguous and fast-moving environments. - A high bar for product polish and a keen eye for how usability, interaction design, and brand consistency drive customer trust and engagement. - Experience designing and interpreting product experiments, including A/B tests, multivariate tests, prototypes, and other methods for validating customer and business impact. - Comfort navigating complex quantitative and qualitative data to uncover behavioral insights and inform product strategy and prioritization. - Experience developing platform capabilities, shared services, or foundational infrastructure used by multiple products or product teams. - Experience mentoring Product Managers or helping teams improve product discovery, experimentation, evaluation, or product development practices. #LI_DA1