CrawlJobs Logo

Forward Deployed Engineering Manager

cresta.com Logo

Cresta

Location Icon

Location:
United States

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

At Cresta, shipping AI is only half the story. Deploying it successfully is where the real impact happens. As Forward Deployed Engineering Manager, you'll lead the team that turns cutting-edge AI into real-world customer success. You'll build, mentor, and scale a world-class team of Forward Deployed Engineers (FDEs) who work directly with customers to deliver AI agents that solve practical business problems and drive measurable outcomes. This is a high-impact leadership role for someone who loves building teams, refining processes, and driving product excellence through deep customer engagement. You'll be at the intersection of engineering, product, and go-to-market — ensuring that Cresta delivers exceptional value at scale. Travel Expectations: 10-25% travel for customer visits, team offsites, and company events.

Job Responsibility:

  • Build and Scale the FDE Team: Recruit top talent
  • Develop your team
  • Define the role
  • Foster culture
  • Refine Processes and Drive Operational Excellence: Optimize the customer lifecycle
  • Scale what works
  • Balance speed and quality
  • Measure what matters
  • Drive Product Improvements: Be the voice of the customer
  • Close the feedback loop
  • Build vs. buy vs. hack
  • Champion generalization
  • Lead Cross-Functional Collaboration: Partner with Product
  • Align with Engineering
  • Enable Go-to-Market
  • Influence leadership
  • Stay Hands-On (When Needed): Jump into the fire
  • Stay technical
  • Lead by example

Requirements:

  • Engineering management experience: At least 2 years managing, mentoring, and growing engineering teams
  • Customer-facing engineering background: Experience as a Forward Deployed Engineer, Solutions Engineer, Implementation Engineer, or similar role working directly with customers
  • Technical depth: Strong software engineering fundamentals (coding, system design, APIs, databases) — you've built production systems and can earn the respect of senior engineers
  • AI/LLM familiarity: Hands-on experience with AI agents, LLMs, prompt engineering, or ML deployments in production
  • Hiring and talent development: Proven track record of recruiting, onboarding, and developing high-performing engineers
  • Cross-functional leadership: Demonstrated ability to influence and collaborate across Product, Engineering, Sales, and Customer Success teams
  • Bias toward action: You ship fast, iterate, and believe that perfect is the enemy of good
  • Customer empathy: Deep understanding of enterprise customer needs and the ability to translate technical concepts into business value
  • Startup or scale-up experience: You've been in fast-paced, high-growth environments where you wore multiple hats
  • Enterprise B2B background: Experience with complex, multi-stakeholder deployments and long sales cycles
  • Product mindset: You think like a product manager — understanding market needs, prioritization, and trade-offs
  • Process design: You've built processes from scratch and iterated on them based on what works
  • Founder or entrepreneurial experience: You've started something, built something from zero, or operated with extreme ownership
What we offer:
  • Comprehensive medical, dental, and vision coverage with plans to fit you and your family
  • Flexible PTO to take the time you need, when you need it
  • Paid parental leave for all new parents welcoming a new child
  • Retirement savings plan to help you plan for the future
  • Remote work setup budget to help you create a productive home office
  • Monthly wellness and communication stipend to keep you connected and balanced
  • In-office meal program and commuter benefits provided for onsite employees

Additional Information:

Job Posted:
January 31, 2026

Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Forward Deployed Engineering Manager

Forward Deployed Engineer

We are looking for one of our first engineering hires in Singapore — a Forward D...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
addepar.com Logo
Addepar
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 4+ years of experience as a professional Software Engineer
  • Proficiency in one or more object-oriented programming languages (Java and/or Python preferred), and/or compiled languages (Go, Rust, Scala preferred)
  • Experience building systems with relational or NoSQL database storage
  • A degree in Computer Science, Software Engineering, Mathematics, or another technical field, paired with professional software engineering experience
  • Strong ability to lead complex projects, manage timelines, and build strong working relationships
  • Comfortable working in cross-functional and collaborative team environments
Job Responsibility
Job Responsibility
  • Work in small, agile teams with minimal supervision, setting priorities and managing client interactions
  • Take full responsibility for the end-to-end delivery of high-value projects
  • Gain exposure to a wide variety of technical challenges, new technologies, and complex problem-solving opportunities
  • Turn lessons learned from client engagements into scalable, long-term solutions
  • Collaborate closely with Addepar’s engineering and product teams to share insights, inform design strategy, and contribute directly to our core product
  • Fulltime
Read More
Arrow Right

Forward Deployed Engineer

As a Forward Deployed Engineer (FDE) at Virtru, you will play a pivotal role in ...
Location
Location
United States , Columbia
Salary
Salary:
190000.00 - 240000.00 USD / Year
virtru.com Logo
Virtru
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Active U.S. TS/SCI Clearance required
  • Minimum of 5+ years of experience as a cloud engineer, demonstrating a strong understanding of SRE principles for highly scalable and reliable systems
  • Bachelor's degree in Computer Science or related field
  • Proficiency in DevSecOps practices, with experience in source code repositories and CI/CD pipeline solutions such as Team Foundation Server/Azure DevOps, Bitbucket, and GitHub
  • Expertise in Infrastructure as Code (IaC) and best practices for managing cloud infrastructure
  • Familiarity with containerization, Kubernetes (k8s) and orchestration tooling such as OpenShift, Rancher, and Helm
  • Ability to excel both independently and as part of a collaborative team
  • Effective communication and collaboration skills with the on-site customer and the support team
  • Willingness to work onsite 3-5 days per week in Columbia, MD
Job Responsibility
Job Responsibility
  • Monitor platform and containerized applications to ensure optimal performance and availability
  • Identify and mitigate performance and availability risks and issues in real-time
  • Contribute to the development and optimization of core platform functions to establish a robust infrastructure
  • Collaborate closely with internal teams and government clients on a daily basis
What we offer
What we offer
  • A Flexible PTO policy
  • A $1,500 annual Learning & Development Stipend
  • Home-Office Stipend
  • Internal mobility options
  • Frequent company-sponsored Team Celebrations
  • Access to an Employee Assistance Program
  • Access to Headspace, a mental health app
  • A high degree of flexibility
  • Competitive compensation
  • Generous parental, medical, and bereavement policies
  • Fulltime
Read More
Arrow Right

Forward Deployed Engineer

As a Forward Deployed Engineer (FDE) at Virtru, you will play a pivotal role in ...
Location
Location
United States , Tampa
Salary
Salary:
190000.00 - 240000.00 USD / Year
virtru.com Logo
Virtru
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Active U.S. Secret Clearance required
  • Minimum of 5+ years of experience as a cloud engineer, demonstrating a strong understanding of SRE principles for highly scalable and reliable systems
  • Bachelor's degree in Computer Science or related field
  • Proficiency in DevSecOps practices, with experience in source code repositories and CI/CD pipeline solutions such as Team Foundation Server/Azure DevOps, Bitbucket, and GitHub
  • Expertise in Infrastructure as Code (IaC) and best practices for managing cloud infrastructure
  • Familiarity with containerization, Kubernetes (k8s) and orchestration tooling such as OpenShift, Rancher, and Helm
  • Ability to excel both independently and as part of a collaborative team
  • Effective communication and collaboration skills with the on-site customer and the support team
  • Willingness to work onsite 5 days a week in Tampa, FL.
Job Responsibility
Job Responsibility
  • Monitor platform and containerized applications to ensure optimal performance and availability
  • Identify and mitigate performance and availability risks and issues in real-time
  • Contribute to the development and optimization of core platform functions to establish a robust infrastructure
  • Collaborate closely with internal teams and government clients on a daily basis.
What we offer
What we offer
  • Flexible PTO policy
  • $1,500 annual Learning & Development Stipend
  • Home-Office Stipend
  • Internal mobility options
  • Frequent company-sponsored Team Celebrations
  • Access to an Employee Assistance Program
  • Access to Headspace, a mental health app
  • A high degree of flexibility
  • Competitive compensation
  • Generous parental, medical, and bereavement policies
  • Fulltime
Read More
Arrow Right

Associate Forward Deployed Product Manager

As an Associate Forward-Deployed Product Manager on the AI Agents team, you will...
Location
Location
United States
Salary
Salary:
110000.00 - 145000.00 USD / Year
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 1-4 years of relevant experience (e.g., Product Management, Consulting, Implementations, Customer / Sales Engineer, Revenue & Sales Analyst, Investment Banking, Founder)
  • Hands-on work style – curiosity with a bias for action. You deliver with urgency and care
  • Comfortable working with ambiguity and learning quickly in a dynamic startup environment
  • Willingness to travel
Job Responsibility
Job Responsibility
  • Drive AI Agent deployments for customers across the lifecycle — from pre-sales to post-launch optimization
  • Define AI roadmaps for the customer’s executive team by blending both quantitative analysis and qualitative insights
  • leverage automated conversation discovery tools in addition to traditional data analysis
  • Iterate prompt & context engineering to achieve customer’s use case and intended business outcomes
  • Own designing and running evaluations and A/B tests of AI Agents with Forward-Deployed Engineers (FDEs) using Cresta’s agent builder and beta internal tools
  • Improve our playbooks for agent development and customer deployment
What we offer
What we offer
  • Comprehensive medical, dental, and vision coverage with plans to fit you and your family
  • Flexible PTO to take the time you need, when you need it
  • Paid parental leave for all new parents welcoming a new child
  • Retirement savings plan to help you plan for the future
  • Remote work setup budget to help you create a productive home office
  • Monthly wellness and communication stipend to keep you connected and balanced
  • In-office meal program and commuter benefits provided for onsite employees
  • Bonus
  • Offers Equity
  • Fulltime
Read More
Arrow Right

Principal Backend Engineer, Forward Deployed

As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-im...
Location
Location
United States , Austin; New York; San Francisco Bay Area; Washington DC–Baltimore
Salary
Salary:
225000.00 - 370000.00 USD / Year
invisible.co Logo
Invisible Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of software engineering experience, including significant time spent building data, ML, or backend systems
  • Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
  • Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
  • Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
  • Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
  • Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
  • Experience building usable systems from messy data and ambiguous requirements
  • Excellent communication and client-facing skills
  • you’ve led conversations with technical and non-technical stakeholders alike
  • Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
Job Responsibility
Job Responsibility
  • Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
  • Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
  • Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
  • Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
  • Build shared infrastructure, reusable components, and internal playbooks to level-up the team
  • Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible
What we offer
What we offer
  • bonus
  • equity
  • Fulltime
Read More
Arrow Right

Forward Deployed Product Manager

The ideal Forward Deployed Product Manager (FDPM) candidate is a customer obsess...
Location
Location
United States , San Mateo
Salary
Salary:
170000.00 - 240000.00 USD / Year
fireworks.ai Logo
Fireworks AI
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • Meaningful equity in a fast-growing startup
  • Competitive salary
  • Comprehensive benefits package
  • Fulltime
Read More
Arrow Right

Forward Deployed Engineer - Data-as-a-Service

Snorkel AI is hiring data scientists and engineers who will work directly on Sno...
Location
Location
United States , New York City; Redwood City; San Francisco
Salary
Salary:
172000.00 - 300000.00 USD / Year
snorkel.ai Logo
Snorkel AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of experience in data science and engineering roles
  • Strong practical experience with Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)
  • Familiarity with LLM-based workflows and applying ML techniques in production contexts
  • Experience leveraging Backend APIs and interpreting associated technical documentation
Job Responsibility
Job Responsibility
  • Partner with the Sales Team on client discovery calls to provide technical depth, assess solution fit, and scope Data-as-a-Service opportunities
  • Develop and present tailored technical assets including specifications, data dictionaries, sample datasets, and client-specific demonstrations to illustrate feasibility and value
  • Define project scope and success criteria in collaboration with customer stakeholders and internal delivery teams, ensuring alignment on technical requirements and capacity
  • Design and execute calibration processes including baseline batches, benchmark reports, and evaluation frameworks that establish measurable project success metrics
  • Build and deploy evaluators, design and implement quality measurement systems to validate project outputs and ensure deliverables meet client expectations
  • Generate synthetic datasets by developing or adapting existing pipelines to accelerate client engagements and augment training data
  • Package and deliver production-grade datasets with standardized formatting, comprehensive documentation, and quality assurance
  • Configure and build custom applications and off-platform solutions for non-standard or specialized client requirements
  • Define production specifications and workflows, securing technical alignment with client teams to enable seamless go-live transitions
  • Provide ongoing technical support to Delivery Managers, addressing complex questions, resolving technical blockers, and supporting customer rebuttals
What we offer
What we offer
  • Equity in the form of employee stock options
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, Forward Deployed

As a Senior Software Engineer, Forward Deployed Engineer (FDE) you'll work direc...
Location
Location
United States , Austin; New York; San Francisco Bay Area; Washington DC–Baltimore
Salary
Salary:
165000.00 - 266000.00 USD / Year
invisible.co Logo
Invisible Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems
  • Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
  • Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
  • Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
  • Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
  • Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
  • Experience building usable systems from messy data and ambiguous requirements
  • Excellent communication and client-facing skills
  • you’ve led conversations with technical and non-technical stakeholders alike
  • Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
Job Responsibility
Job Responsibility
  • Collaborate with delivery leaders to scope technical solutions to operational problems
  • Identify workflow optimizations through deep engagement with customer problems and work to build into a stable and scalable solution
  • Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools
  • Translate messy real-world constraints (e.g., inconsistent data, latency requirements) into elegant engineering solutions
  • Iterate quickly based on real-time feedback from operators and clients
  • Build reusable tooling and infrastructure that accelerates future deployments
What we offer
What we offer
  • Bonuses and equity are included in offers above entry level
  • Fulltime
Read More
Arrow Right