Forward Deployed Product Manager

Staff Forward Deployed Product Manager

Demand is surging for product managers who can partner hands-on with our most st...

Location

United States , San Francisco

Salary:

220500.00 - 245000.00 USD / Year

Intercom

Expiration Date

Until further notice

Requirements

Customer centricity: Deep customer empathy with a strong bias for action
Communication: Ability to speak to different audiences with clarity and impact
Technical fluency: Ability to talk about modern tech stack, from APIs and SaaS infrastructure to LLMs and low-code tooling
Strong cross-functional collaboration: Ability to understand and navigate organizational boundaries
Navigating Ambiguity: Thrive in ambiguous, fast-changing environments
Operational rigor: Highly organized, structured in approach

Job Responsibility

Partner directly with customers to design, deploy, and scale Fin AI Agent for their business
Understand their goals, business challenges and technical requirements in detail
Prepare and present demos, as well as pitch Fin
Hands on configuration of Fin to meet their needs
Identify and solve blockers to implementation
Act as an AI expert, providing them with insight to achieve outstanding results with Fin
Collaborate closely with Sales, Success, and Product teams
Translate frontline insights into scalable product features
Develop repeatable playbooks and deployment patterns
Contribute to and evolve the Forward Deployed Product Management function within Intercom

What we offer

Competitive salary and meaningful equity
Comprehensive medical, dental, and vision coverage
Regular compensation reviews
Flexible paid time off policy
Paid Parental Leave Program
401k plan & match
In-office bicycle storage
Fun events for Intercomrades, friends, and family

Fulltime

The ideal Forward Deployed Product Manager (FDPM) candidate is a customer obsess...

Location

United States , San Mateo

Salary:

170000.00 - 240000.00 USD / Year

Fireworks AI

Expiration Date

Until further notice

Requirements

Strong technical background (CS/EECE background and/or production level development experience) or technical product management experience
Intimate familiarity with LLMs, fine-tuning, model inference, agents etc.
2 - 5+ years of experience in products for software engineers
Strong customer interaction skills, deep customer success focus
Ability to communicate highly technical concepts to all kinds of audiences including the latest AI developments
Focus on driving outcomes, not just technical milestones
Ability to navigate complex customer/technical scenarios and come up with creative solutions

Job Responsibility

Engage directly with customers from fast-moving startups to large enterprises, to identify use cases and convert interest into long-term usage and expansion
Define and propose tailored solutions and proof-of-concepts (POCs) that demonstrate the value of Fireworks’ platform in real customer environments
Lead onboarding and implementation efforts, including fine-tuning workflows, latency benchmarks, API integration, and infrastructure alignment
Act as a trusted technical advisor to customers, helping shape their GenAI strategy using Fireworks infrastructure
Translate customer insights into structured product definition, identifying common themes and high-leverage feature requests
Collaborate closely with engineering and applied ML teams to align customer needs with technical roadmap
Drive execution of product development, ensuring that new products land successfully with customers
Oversee Fireworks roadmap, ensuring that reflects customer needs

What we offer

Meaningful equity in a fast-growing startup
Competitive salary
Comprehensive benefits package

Fulltime

Forward Deployed Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...

Location

Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience in software development, AI/ML engineering, or system integration
Proficiency in Python and Golang, with the ability to write clean, efficient code
Familiarity with AI/ML concepts
Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred
Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG)
Hands-on experience of building such a system is strongly preferred
Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring)
Hands-on experience with integrating systems via APIs, webhooks, and data pipelines
Excellent communication and project management skills

Job Responsibility

Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools
Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration
Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions
Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives
Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery
Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings
Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI
Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage
Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning

What we offer

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
Paid parental leave to support you and your family
Monthly Health & Wellness allowance
Work from home office stipend to help you succeed in a remote environment
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada

Fulltime

Forward Deployed Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...

Location

United States

Salary:

150000.00 - 250000.00 USD / Year

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience in software development, AI/ML engineering, or system integration
Proficiency in Python and Golang
Familiarity with AI/ML concepts
Hands-on experience with large language models (LLMs) and prompt engineering techniques are strongly preferred
Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG)
Hands-on experience of building such a system is strongly preferred
Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring)
Hands-on experience with integrating systems via APIs, webhooks, and data pipelines
Excellent communication and project management skills

Job Responsibility

Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools
Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration
Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions
Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives
Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery
Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings
Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI
Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage
Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning

What we offer

Comprehensive medical, dental, and vision coverage with plans to fit you and your family
Flexible PTO
Paid parental leave for all new parents welcoming a new child
Retirement savings plan
Remote work setup budget
Monthly wellness and communication stipend
In-office meal program and commuter benefits provided for onsite employees
Equity

Fulltime