CrawlJobs Logo

Staff Forward Deployed Product Manager

United States, San Francisco 220500.00 - 245000.00 USD / Year · Job Posted December 27, 2025
Apply Position
Job Link Share

Job Description

Demand is surging for product managers who can partner hands-on with our most strategic customers to design, deploy, and scale AI agents that deliver real business outcomes. As an FDPM, you’ll sit at the intersection of product, solutions, and customer success: embedding with customers, building enterprise-grade Fin deployments, and turning frontline insight into scalable product improvements. You’ll also have the opportunity to shape the forward-deployed motion at Intercom. This is a high-ownership role for a creative, customer-obsessed product manager who thrives in fast-paced, ambiguous environments and loves bridging the gap between technical execution and real-world impact.

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

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

Nice to have

  • Additional previous experience in technical consulting, solutions engineering, customer success
  • Experience working with enterprise customers on bespoke implementations
  • Worked in a startup or B2B SaaS

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

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Staff Forward Deployed Product Manager

8 matching positions

Manager, Forward Deployed Engineering

OpenAI’s Forward Deployed Engineering team partners with customers to turn resea...
Location
Location
United States , San Francisco
Salary
Salary:
302000.00 - 335000.00 USD / Year
openai.com Logo
OpenAI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of engineering or technical delivery experience
  • 2+ years managing high-performing FDE or customer-facing engineers
  • experience leading high-pressure technical projects from prototype to production
  • ability to write and review production-grade code across frontend and backend using Javascript or Python
  • ability to simplify complex work and make fast, sound decisions under pressure
  • ability to elevate team performance through clarity
  • ability to operate with urgency in ambiguous or evolving environments
  • ability to translate field experience into sharp, actionable feedback for Product and Research
  • ability to build deep trust with your team by modeling calm, focus, and judgment
Job Responsibility
Job Responsibility
  • Lead and grow a team of FDE delivering production systems with frontier models
  • Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality
  • Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community
  • Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices
  • Use judgement to distinguish what requires action and what does not
  • Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback
  • Define how we staff and support field teams that can scale without added complexity
What we offer
What we offer
  • Offers Equity
  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Fulltime
Read More
Arrow Right

Manager, Forward Deployed Engineering

OpenAI’s Forward Deployed Engineering team partners with customers to turn resea...
Location
Location
United States , New York City
Salary
Salary:
302000.00 - 335000.00 USD / Year
openai.com Logo
OpenAI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of engineering or technical delivery experience
  • 2+ years managing high-performing FDE or customer-facing engineers
  • Experience leading high-pressure technical projects from prototype to production
  • Write and review production-grade code across frontend and backend using Javascript or Python
  • Ability to simplify complex work and make fast, sound decisions under pressure
  • Ability to elevate team performance through clarity, not process
  • Ability to operate with urgency in ambiguous or evolving environments
  • Ability to translate field experience into sharp, actionable feedback for Product and Research
  • Ability to build deep trust with your team by modeling calm, focus, and judgment
Job Responsibility
Job Responsibility
  • Lead and grow a team of FDE delivering production systems with frontier models
  • Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality
  • Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community
  • Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices
  • Use judgement to distinguish what requires action and what does not
  • Set a high bar for FDE performance and support each person’s growth through direct, actionable feedback
  • Define how we staff and support field teams that can scale without added complexity
What we offer
What we offer
  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Fulltime
Read More
Arrow Right

Staff Software Engineer – Forward Deployed

We are seeking a skilled Software Engineer who will design, build, and maintain ...
Location
Location
China , Shanghai; Dalian; Wuhan
Salary
Salary:
Not provided
pfizer.de Logo
Pfizer
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related field with 8-12 years of relevant experience
  • AI-Augmented Development: optimize AI tool usage, train engineers on AI-augmented workflows, evaluate new AI development tools, establish practices that balance AI speed with verification rigor
  • Business Immersion: rapidly acquire domain expertise, translate between business and engineering, mentor engineers on immersion
  • Data Integration: navigate complex enterprise data landscapes, build relationships to gain data access, handle undocumented schemas, build robust integration solutions, mentor engineers on data integration
  • Full-Stack Development: build complete applications rapidly across any technology stack, select the right tools, balance technical debt with delivery speed, mentor engineers on full-stack development
  • Multi-Audience Communication: influence through communication at all levels, handle difficult conversations skillfully, train engineers on effective communication, represent teams across the function
  • Problem Discovery: seek out undefined problems, embed with users to discover latent needs, coach engineers on problem discovery techniques, turn ambiguity into clear problem statements
  • Rapid Prototyping & Validation: lead rapid delivery initiatives, coach on prototype-first approaches, establish trust through consistent fast delivery, define clear criteria for prototype-to-production transitions
  • Site Reliability Engineering: define reliability standards, drive post-incident improvements systematically, design capacity planning processes, mentor engineers on SRE practices
  • Stakeholder Management: influence senior stakeholders, manage complex stakeholder landscapes with competing agendas, build trust rapidly with new stakeholders, shield teams from organizational friction
Job Responsibility
Job Responsibility
  • Delivery: Lead technical delivery of complex projects across multiple teams, unblock others through hands-on contributions, ensure engineering quality
  • AI: Design AI-augmented engineering workflows for your area, evaluate new AI tools, train engineers on effective AI usage, balance speed with verification
  • People: Coach multiple engineers on career growth, lead hiring for technical roles across your area, shape team technical culture
  • Business: Drive business outcomes through technical solutions across your area, influence product roadmaps, partner effectively with business stakeholders
  • Process: Drive process efficiency within your team, coordinate cross-functional technical work, lead retrospectives
  • Documentation: Design documentation strategies for your projects, ensure knowledge persists beyond individuals, write specifications that enable effective collaboration
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, Forward Deployed

As a Forward Deployed Engineer (FDE) for our U.S. Public Sector team at Invisibl...
Location
Location
United States , Washington DC–Baltimore; Reston, VA
Salary
Salary:
191000.00 - 279000.00 USD / Year
invisible.co Logo
Invisible Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Active U.S. Department of Defense Secret clearance or higher
  • 8+ years of software engineering experience, including work on data-intensive, ML, or backend systems
  • Experience leading requirements-gathering activities and translating stakeholder input into technical specifications
  • Python & ML/LLM frameworks: Hands-on experience with Python and modern ML/LLM tooling (e.g., Hugging Face, LangChain, OpenAI, Pinecone)
  • Deployment & infrastructure: Experience building and operating API-based services using Docker, FastAPI, Kubernetes, and major cloud platforms (AWS, GCP)
  • Platform & data management: Familiarity with workflow orchestration, pub/sub systems (e.g., Kafka), schema governance, data contracts, Unity Catalog, Delta/ETL pipelines, and replay processes
  • Ability to work on-site 2–3 days per week at offices located in the greater Washington, D.C. and Reston, VA area
Job Responsibility
Job Responsibility
  • Scope, design, and lead implementation of AI-driven solutions in partnership with delivery teams and executive stakeholders
  • Translate ambiguous workflows and business needs into repeatable systems and production-ready technical architectures
  • Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
  • Build usable systems from messy data and incomplete or evolving requirements
  • Apply AI/ML solutions in highly regulated environments (e.g., defense, intelligence, healthcare, finance)
  • Own projects end-to-end—from initial discovery and scoping through implementation, deployment, and post-launch iteration
  • Build shared infrastructure, reusable components, and internal playbooks to improve delivery consistency and team velocity
  • Mentor mid-level engineers and contribute to the development of forward-deployed AI engineering practices at Invisible
What we offer
What we offer
  • Bonuses and equity are included in offers above entry level
  • Fulltime
Read More
Arrow Right
New

Product Manager, Applied Research

Luma's mission is to build unified general intelligence that can generate, under...
Location
Location
United States , SF Bay Area
Salary
Salary:
Not provided
lumalabs.ai Logo
Luma AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Principal or Staff-level product management experience (L6 seniority or above) with a track record of bridging pure research and ambitious product development at an AI lab or applied AI company
  • You are genuinely comfortable in a research environment — you can read evaluations, understand what they mean, ask the right questions, and help researchers see the product implications of their work
  • You've shipped products that originated in research — not just optimized existing products, but taken emergent capabilities and turned them into new product surfaces
  • You can build prototypes yourself — you have the technical depth to work directly with models, write prompts, test hypotheses, and validate ideas before involving a full engineering team
  • You operate with extremely high agency and a strong self-starter mentality — research environments are inherently ambiguous and this role has no existing playbook
  • You have a general manager mindset — you can evaluate research directions not just for technical novelty but for commercial viability and customer impact
  • You bring a mix of large-company and earlier-stage experience — you understand both the pace of a research lab and the urgency of a startup building a commercial business
  • You can influence without authority — researchers don't report to you, but your input on priorities needs to carry weight because it's well-informed and well-reasoned
Job Responsibility
Job Responsibility
  • Own the product strategy for translating Luma's frontier research capabilities into shippable features across Canvas, Agents, and the model platform
  • Work directly within the research team to shape priorities, ensuring model development and evaluation are informed by real enterprise needs in marketing, advertising, and entertainment
  • Establish and operate the feedback loops between research, product, go-to-market, and forward-deployed teams — so that market signals flow into research prioritization and research breakthroughs flow into product planning
  • Interpret evaluation results and research findings to identify which emerging capabilities have the highest product and commercial leverage — and make bets accordingly
  • Build prototypes yourself to validate product ideas before committing engineering resources — using the models directly to test hypotheses about what's possible and what customers will value
  • Define the product implications of research advances in multimodal understanding, generation, tool use, and agent capabilities — translating "the model can now do X" into "customers can now solve Y"
  • Partner with the Agent PM and Enterprise PM to ensure research priorities align with the capabilities that enterprise products and customer deployments actually need
  • Drive the cadence and process for research-to-product handoffs — defining what "ready to ship" means, managing the transition from research prototype to production feature, and owning the quality bar
  • Fulltime
Read More
Arrow Right

Product Manager, Enterprise

Luma has built frontier multimodal capabilities — foundation models, Canvas, and...
Location
Location
United States , SF Bay Area
Salary
Salary:
225000.00 - 325000.00 USD / Year
lumalabs.ai Logo
Luma AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Staff or Principal-level product management experience (L5/L6 seniority or above) with a track record of building enterprise products in high-ambiguity environments
  • You’ve built successful enterprise AI applications — especially agentic products with strong real-world adoption, not just traditional SaaS
  • You possess functional AI/ML fluency — not just academic. You can reason about model capabilities, evals, latency/cost tradeoffs, fine-tuning vs. prompting vs. tool use, and the shape of a frontier roadmap. You are technical enough to prototype a solution on a whiteboard with a customer’s ML team and credible enough that a research lead actually wants you in the room
  • You operate effectively across complex cross-functional environments involving product, engineering, research, go-to-market, and customer-facing teams
  • You have a general manager mindset with P&L visibility and experience — you think in terms of business tradeoffs, commercial viability, and revenue outcomes, not just product metrics
  • You thrive in significant ambiguity with extremely high agency and a strong self-starter mentality — this is the highest-priority trait for this role
  • You bring consultative PM skills and the ability to play an advisory role with enterprise customers, asking clarifying questions about needs and commercial viability rather than immediately saying yes to requests
  • You have a mix of large-company and earlier-stage startup experience, and can work in extremely unstructured environments with limited scaffolding
  • You can partner with and influence research teams in product development environments, helping ensure frontier model capabilities are shaped by market needs
Job Responsibility
Job Responsibility
  • Define product opportunities across enterprise segments by identifying customer profiles, workflows, jobs-to-be-done, and unmet needs in marketing, advertising, and entertainment
  • Translate Luma’s capabilities across models, Canvas, Agents and APIs into clear product definitions that serve real commercial customers and generate revenue
  • Drive cross-functional execution across research, product, engineering, go-to-market, and forward-deployed teams within a pod-based team structure
  • Partner directly with enterprise customers to understand requirements, validate opportunities, and shape product direction — showing up in customer meetings to represent research, product strategy, and vision
  • Play a consultative product role that connects customer feedback to product strategy and roadmap decisions, complementing forward-deployed engineers and creatives rather than duplicating their work
  • Bridge market signals back to research and product development teams, establishing feedback loops so that model prioritization and evaluation are informed by real commercial needs
  • Build agentic products — not just traditional SaaS — that serve clear enterprise needs and can generate revenue immediately while scaling to serve broader demand
  • Operate with a GM-style mindset, making product choices that align with revenue goals, commercial viability, and practical business outcomes
  • Fulltime
Read More
Arrow Right

Product Manager, AI Solutions and Design

Lead the strategic development and implementation of generative AI technologies ...
Location
Location
United States , Palo Alto; Salt Lake City; San Francisco; San Diego; Century City
Salary
Salary:
119000.00 - 178250.00 USD / Year
wsgr.com Logo
Wilson, Sonsini, Goodrich & Rosati
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree required
  • 5+ years of experience in legal services, technology innovation, or a related field, with a strong understanding of AI applications in legal contexts
  • Background as a paralegal, attorney, or other legal professional strongly preferred, with a deep understanding of legal workflows, document management, and client service delivery
  • Proven ability to drive change and inspire others through innovative thinking and effective communication
  • Exceptional interpersonal skills, with a talent for building relationships and fostering collaboration across diverse teams
  • Strong analytical and problem-solving skills, with a proactive approach to identifying opportunities for improvement
  • Proficiency in MS Office (Word, Excel, Outlook) and familiarity with AI technologies and tools
  • Ability to travel to WSGR domestic offices as needed.
Job Responsibility
Job Responsibility
  • Develop and execute a forward-looking AI innovation roadmap aligned with the firm’s strategic objectives and client service goals
  • Identify, evaluate, and prioritize high-impact opportunities for AI solutions that can enhance workflows, reduce inefficiencies, and elevate client experiences
  • Lead ideation sessions and design sprints with cross-functional stakeholders to conceptualize new AI-driven tools and prototypes
  • Gather and analyze user requirements from attorneys and staff to inform the design of effective, user-centric AI solutions
  • Engage developers, data scientists, and legal subject matter experts to design, build, and refine AI applications and automations that address real-world legal and operational challenges
  • Oversee pilot programs and proof-of-concepts, ensuring tools are rigorously tested, iteratively improved, and effectively deployed across the firm
  • Collaborate with the Office of General Counsel and compliance teams to ensure all AI tools meet ethical, security, and regulatory standards
  • Maintain a pipeline of emerging AI technologies, assessing their potential for internal use or client service innovation
  • Serve as a bridge between legal professionals and technical teams, translating complex business needs into clear technical requirements
  • Cultivate strong relationships with internal and external technology partners to accelerate tool creation and deployment
What we offer
What we offer
  • Highly competitive salary and benefits package
  • Discretionary year-end merit bonus based on performance.
  • Fulltime
Read More
Arrow Right

Product Manager, AI Solutions and Design

Lead the strategic development and implementation of generative AI technologies ...
Location
Location
United States , Palo Alto; Austin; Boston; Boulder; Century City; Los Angeles; New York; Salt Lake City; San Diego; San Francisco; Seattle; Washington, D.C.; Wilmington
Salary
Salary:
105400.00 - 158125.00 USD / Year
wsgr.com Logo
Wilson, Sonsini, Goodrich & Rosati
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree required
  • 5+ years of experience in legal services, technology innovation, or a related field, with a strong understanding of AI applications in legal contexts
  • Background as a paralegal, attorney, or other legal professional strongly preferred, with a deep understanding of legal workflows, document management, and client service delivery
  • Proven ability to drive change and inspire others through innovative thinking and effective communication
  • Exceptional interpersonal skills, with a talent for building relationships and fostering collaboration across diverse teams
  • Strong analytical and problem-solving skills, with a proactive approach to identifying opportunities for improvement
  • Proficiency in MS Office (Word, Excel, Outlook) and familiarity with AI technologies and tools
  • Ability to travel to WSGR domestic offices as needed
Job Responsibility
Job Responsibility
  • Develop and execute a forward-looking AI innovation roadmap aligned with the firm’s strategic objectives and client service goals
  • Identify, evaluate, and prioritize high-impact opportunities for AI solutions that can enhance workflows, reduce inefficiencies, and elevate client experiences
  • Lead ideation sessions and design sprints with cross-functional stakeholders to conceptualize new AI-driven tools and prototypes
  • Gather and analyze user requirements from attorneys and staff to inform the design of effective, user-centric AI solutions
  • Engage developers, data scientists, and legal subject matter experts to design, build, and refine AI applications and automations that address real-world legal and operational challenges
  • Oversee pilot programs and proof-of-concepts, ensuring tools are rigorously tested, iteratively improved, and effectively deployed across the firm
  • Collaborate with the Office of General Counsel and compliance teams to ensure all AI tools meet ethical, security, and regulatory standards
  • Maintain a pipeline of emerging AI technologies, assessing their potential for internal use or client service innovation
  • Serve as a bridge between legal professionals and technical teams, translating complex business needs into clear technical requirements
  • Cultivate strong relationships with internal and external technology partners to accelerate tool creation and deployment
What we offer
What we offer
  • Highly competitive salary and benefits package
  • Discretionary year-end merit bonus based on performance
  • Fulltime
Read More
Arrow Right