Forward Deployed Product Manager

Accountabilities: Customer Deployment and Implementation: Lead end-to-end deployments for assigned customers, collaborating with Forward Deployed Engineers and customer stakeholders to define implementation plans, establish priorities, and align on measurable success criteria. Account Management and Growth: Own a portfolio of growth accounts after launch, monitoring product performance, adoption, retention, and usage against contractual commitments while identifying opportunities to expand existing partnerships. Product Configuration and Optimization: Investigate customer challenges, identify opportunities to improve AI-powered customer support workflows, and independently build, test, and deploy solutions into production in collaboration with engineering teams. Customer Enablement: Train and empower customer teams to build, test, and optimize their own AI-powered support workflows, enabling them to become more autonomous and achieve increasing value from the platform. AI-Powered Problem Solving: Use available AI tools and development agents to analyze issues, investigate conversation logs, test solutions, and accelerate implementation without depending on engineering resources for every change. Business Development and Expansion: Build trusted relationships with customer stakeholders, identify new use cases, develop business cases for additional deployments, and demonstrate how further automation can improve operational outcomes. Cross-Functional Product Collaboration: Communicate customer needs, recurring challenges, and improvement opportunities to the Product team, supporting prioritization and following key initiatives through to delivery. Customer Performance and Value Delivery: Monitor deployment effectiveness, identify opportunities to improve automation quality, and ensure solutions align with customer policies, business objectives, and operational requirements. Scalable Solutions and Continuous Improvement: Recognize patterns across customer accounts and help develop reusable solutions that reduce repetitive work, improve implementation efficiency, and strengthen the overall customer experience. Requirements Relevant Professional Experience: At least two years of experience owning customer outcomes in account management, customer success, consulting, implementation, product management, operations, or a related field. Demonstrated accountability for results is more important than a specific job title. Customer Relationship Management: Proven ability to establish trusted relationships with senior customer stakeholders, understand their business priorities, and contribute to customer retention and account growth. Startup and Scale-Up Experience: Comfort working in a fast-paced, evolving environment where processes are still being developed and individuals are expected to take initiative and adapt quickly. Practical AI Experience: Hands-on experience building with AI tools or deploying AI-powered solutions, with the ability to evaluate their effectiveness, understand their limitations, and explain what has worked in practice. Technical Problem-Solving: Ability to investigate technical and operational issues independently by working with API documentation, conversation logs, usage data, and other relevant information. Product Implementation and Adoption: Experience helping customers or colleagues realize measurable value from complex products through implementation, configuration, training, and continuous improvement. Analytical and Strategic Thinking: Ability to identify root causes, evaluate potential solutions, prioritize opportunities, and connect product improvements to measurable customer and business outcomes. Communication and Collaboration: Strong interpersonal skills and the ability to coordinate effectively with customers, engineers, and product teams while translating complex requirements into actionable plans. Ownership and Initiative: A proactive, resourceful approach to managing multiple accounts, solving problems, and delivering results without waiting for detailed instructions. Preferred Industry Experience: Experience in fintech, healthcare, or another regulated industry is advantageous, particularly in environments where accuracy, security, and compliance are critical. Additional Advantages: Experience contributing customer insights to product roadmaps or deploying AI products that have delivered measurable business results is a plus. Growth Mindset: Curiosity, adaptability, and a genuine interest in learning new technologies and helping customers improve how they operate. Benefits Remote flexibility: Work remotely from the United States, with a flexible approach to working hours that supports work-life balance. Competitive growth opportunities: Join an early-stage, rapidly growing organization where you can influence product direction, customer strategy, and internal processes. Accelerated career development: Performance and promotion opportunities are reviewed regularly, with leadership evaluating progress and recognizing strong contributions approximately every six weeks. AI-native work environment: Access to AI tools, including Claude Code, with unrestricted usage and opportunities to develop practical skills in emerging AI technologies. Company-wide retreats: Twice-yearly company gatherings in Hawaii, bringing distributed teams together to collaborate, build new ideas, and strengthen working relationships. Collaborative culture: Work in a low-ego, high-trust environment that values curiosity, accountability, inclusion, and continuous learning. Meaningful ownership: Take responsibility for customer outcomes and help shape how AI transforms complex support operations across multiple industries. Hands-on learning: Gain exposure to real-world AI deployments, technical problem-solving, customer strategy, and product development. Respectful recruitment experience: Participate in an interview process that includes informal conversations and a paid work trial of approximately two days, allowing both parties to assess the fit through practical collaboration.