Senior Forward Deployed Product Manager

Jobgether; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Fully remote (US)

Flexible hours

AI-first environment

Career growth

Biannual Hawaii trips

Performance reviews every 6 weeks

Collaborative culture

Paid two-day work trial

Job summary

Jobgether is seeking a Forward Deployed Product Manager to lead AI-powered customer support deployments for major enterprise clients in the United States. You will align executives, technical teams, and stakeholders on priorities, deployment plans, and success metrics.

You will own post-launch performance, drive adoption and expansion, and collaborate with engineers to deploy production changes while translating customer needs into product strategy.

Qualifications

• Six+ years of experience owning high-stakes customer outcomes in account/product/consulting/forward-deployed roles.
• Ability to manage senior customer stakeholders and drive retention and expansion.
• Hands-on AI product experience and ability to articulate business value.
• Strong translation of business requirements into technical deployments.
• Experience in fast-moving environments with ownership and accountability.

Responsibilities

• Lead end-to-end deployments of AI-powered customer support solutions for enterprise clients.
• Manage post-launch performance, adoption, and expansion across a focused portfolio.
• Collaborate with Forward Deployed Engineers to build and deploy production changes.
• Develop trusted executive relationships and identify new use cases.
• Coordinate procurement, security, legal, and compliance reviews for launches.

Skills

Enterprise relationships

Product implementation

AI experience

Commercial acumen

Communication skills

Leadership

Adaptability

Job description

Accountabilities

• Lead strategic customer deployments: Own the end-to-end implementation of AI-powered customer support solutions for major enterprise clients, aligning executives, technical teams, and internal stakeholders on priorities, deployment plans, and success metrics.
• Manage strategic accounts: Take responsibility for post-launch performance, product adoption, customer retention, usage growth, and account expansion across a focused portfolio of high-value customers.
• Build and deploy product improvements: Investigate performance issues, analyze customer interactions, identify opportunities for improvement, and independently build, test, and deploy production changes in collaboration with Forward Deployed Engineers.
• Drive customer success and expansion: Develop trusted relationships with customer executives, understand their business objectives, identify new use cases, and build compelling business cases for broader product adoption.
• Navigate enterprise implementation requirements: Coordinate procurement, security, legal, and compliance reviews to ensure deployments meet customer requirements and progress efficiently toward launch.
• Translate customer needs into product strategy: Identify recurring challenges across deployments, present evidence-based recommendations to Product teams, and follow critical issues through to implementation.
• Leverage AI development tools: Use AI-powered agents and development tools to investigate problems, experiment with solutions, accelerate implementation, and deliver improvements without depending on engineering resources for every change.
• Build scalable operating practices: Convert lessons learned from customer deployments into reusable playbooks, tools, and processes that improve consistency and efficiency across the forward-deployed organization.
• Mentor and support colleagues: Coach other Forward Deployed Product Managers, share technical and commercial expertise, and help establish best practices for managing complex enterprise accounts.
• Own commercial outcomes: Monitor account performance against contractual commitments, identify opportunities to increase usage and revenue, and balance customer satisfaction with sustainable business growth.

Requirements

• Relevant professional experience: At least six years of experience owning high-stakes customer outcomes in account management, product management, consulting, forward-deployed roles, entrepreneurship, or comparable positions.
• Enterprise relationship management: Demonstrated success building trusted relationships with senior customer stakeholders and driving account retention, renewals, and expansion opportunities.
• Technical problem-solving: Ability to investigate complex issues independently by working with API documentation, conversation logs, product behavior, and usage data to identify root causes and implement solutions.
• Hands-on AI experience: Practical experience building or experimenting with AI-powered products, agents, or workflows, including the ability to evaluate results critically and explain what worked, what did not, and why.
• Product and implementation expertise: Strong ability to translate business requirements into technical solutions, coordinate deployments, prioritize improvements, and measure outcomes against clearly defined objectives.
• Startup and scale-up experience: Comfort working in a fast-moving environment where processes are still evolving and where individuals are expected to take ownership, make decisions, and build systems while delivering results.
• Commercial acumen: Ability to understand customer business models, identify expansion opportunities, connect product capabilities to business value, and manage accounts with a focus on measurable outcomes.
• Communication and collaboration: Excellent written and verbal communication skills, sound judgment, and the ability to work effectively with executives, engineers, product teams, and customer-facing colleagues.
• Leadership and initiative: A track record of improving team effectiveness through mentoring, coaching, process development, or building reusable tools and systems.
• Adaptability and learning mindset: Strong curiosity, a customer-focused approach, and a willingness to experiment, learn quickly, and operate effectively in ambiguous situations.
• Preferred qualifications:
• Experience working in fintech, healthcare, or another highly regulated industry.
• Experience influencing product roadmaps through customer research, deployment insights, and evidence-based recommendations.
• Experience deploying AI products and connecting their performance to measurable customer or business outcomes.
• Familiarity with AI-assisted development tools such as Claude Code or similar platforms.

Benefits

• Competitive compensation: Compensation details were not specified in the provided job description.
• Fully remote work: Work remotely in the United States within a distributed, international team.
• Flexible working arrangements: A culture that values autonomy, efficient collaboration, and flexibility in working hours.
• AI-first environment: Access to AI tools with no usage limits, enabling continuous experimentation, faster development, and opportunities to build highly relevant technical skills.
• Meaningful career growth: Opportunities to shape product direction, influence company strategy, and take on greater responsibility as the organization expands.
• Frequent performance recognition: Leadership reviews performance every six weeks, allowing strong contributions to be recognized and advancement to occur when employees are ready.
• International team gatherings: Twice-yearly company-wide trips to Hawaii, combining collaborative work, experimentation, team building, and shared experiences.
• Hands-on professional development: Opportunities to work directly on real customer challenges alongside experienced colleagues and develop skills across product, engineering, AI, and commercial strategy.
• Collaborative and inclusive culture: A low-ego, high-trust environment that values curiosity, accountability, diverse perspectives, and continuous learning.
• Respectful recruitment experience: A streamlined selection process featuring informal conversations and a paid work trial of approximately two days, allowing candidates and the team to evaluate mutual fit through real work.