Forward Deployed Product Manager

Jobgether

United States

Remote

USD 90,000 - 140,000

Full time

6 days ago
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Benefits offered by this job

Remote work USA
Career growth
Regular progress reviews
AI tools access
Hawaii company retreats
Collaborative culture
Ownership of outcomes
Hands-on learning
Paid trial

Job summary

Jobgether is seeking a Customer Success/Account Manager to lead end-to-end deployments for key customers and collaborate with Forward Deployed Engineers to define implementation plans with measurable success criteria. You will own a portfolio of growth accounts post-launch, monitor adoption, retention, and usage against commitments, and train customer teams to build AI-powered workflows for ongoing value.

This role emphasizes cross-functional collaboration and proactive ownership across

Qualifications

  • At least two years owning customer outcomes in account management, customer success, consulting, implementation, product management, operations, or related fields.

Responsibilities

  • Lead end-to-end deployments for assigned customers with Forward Deployed Engineers and customer stakeholders.
  • Own a portfolio of growth accounts after launch, monitor adoption, retention, and usage against commitments.
  • Investigate customer challenges and build AI-powered solutions with engineering collaboration.
  • Train customer teams to build and optimize AI-powered workflows for greater value.
  • Analyze issues and use AI tools to accelerate implementation without needing constant engineering support.
  • Develop business cases for additional deployments and expand partnerships.
  • Communicate customer needs and improvement opportunities to Product for prioritization.
  • Monitor deployment effectiveness and ensure alignment with policies and business goals.
  • Develop reusable solutions by identifying patterns across accounts and improving efficiency.

Skills

End-to-end deployments
Account management
Customer success
AI-powered workflows
Training & enablement
Business development
Cross-functional teamwork
Analytics & strategic thinking
Communication & collaboration
Ownership & initiative

Job description

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.
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