366 forward deployed jobs at 243 companies in San Francisco, CA
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Forward Deployed Engineer
San Francisco, California, United States
$92k-$123k/yrHybridFull Time
Productboard: Software for managing product strategy and customer-driven roadmaps.
4+ YOE4+ years in Sales/Forward Deployed Engineering at a B2B SaaS company; hands-on REST APIs, integrations; strong stakeholder management and communication.
Productboard, Slack, Salesforce, Google Workspace, Zendesk, Claude AI, Zoom, Gong, Jira, GitHub, Loom
Granica: Provides an AI efficiency platform for optimizing enterprise training data.
5+ YOERequires 5+ years in sales engineering, solutions architecture, forward deployed or data engineering; expertise in data platforms, distributed systems, cloud infrastructure, SQL, and programming; enterprise evaluations and deployments experience.
Apache Spark, Apache Iceberg, Delta Lake, Trino, Presto, SQL, Large Tabular Models (LTMs)
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
5+ YOE5+ years in forward-deployed/solutions/sales engineering or technical consulting; deep experience with REST APIs, GraphQL, webhooks, SQL; strong troubleshooting, stakeholder management, and customer-embedded delivery skills.
Mountain View or San Jose or Bengaluru or United States or North America or Europe
RemoteFull Time
Kognitos: Automates enterprise business processes using natural language AI.
3+ YOE3+ years in software/solutions/forward deployed engineering, proficiency in Python, experience integrating with REST/SOAP/APIs/ERPs/databases, customer-facing technical experience, strong communication, able to travel up to ~25%.
Shakudo: Develops an operating system for enterprise AI applications.
8+ YOESenior Forward Deployed Engineer with 8+ years in software, data, platform, infrastructure, or AI engineering; 3+ years building AI apps; 5+ years Kubernetes/cloud; strong cloud experience; data engineering; modern data stack; production, regulated industries; strong customer-facing skills; travel willingness.
Clera: AI talent agent matching professionals with high-growth startup roles
7+ YOERequires 7+ years in software or forward deployed engineering, career progression, coding ability, 0-to-1 product experience, customer discovery, enterprise communication, and translating feedback into product direction.
Figma, Adobe Creative Cloud, Jira, Asana, Wrike, Google Drive, Microsoft 365
Roboflow: Platform for building and deploying custom computer vision models.
5+ YOEExperience deploying technology in physical environments; strong Python and systems skills; edge computing hardware experience; willing to travel ~40-50%.
BackOps AI: AI-powered platform automating logistics and supply chain workflows
Experience with full-stack development (Python or JavaScript), customer-facing delivery, strong ownership, communication, and ability to deploy AI systems into production in fast-moving environments.
SkyPilot: Unified compute platform for orchestrating AI workloads across clouds.
Experience deploying and integrating platform software in customer environments; strong systems and cloud fundamentals, Kubernetes and Linux proficiency, Python scripting, customer-facing communication, familiarity with GPU/ML workloads.
Avent Industrial: AI-powered operating system for industrial supply chains.
Customer-facing engineer who writes code, integrates and deploys systems, understands customer workflows and edge cases, and owns end-to-end deployments.
Blaxel: Cloud infrastructure purpose-built for autonomous AI agents.
Hands-on engineering role building and deploying customer solutions; strong TS/Node or Python; experience with backend/infrastructure; on-site customer work; collaboration with product and engineering teams.
1mind: Deploys multimodal AI agents for sales and revenue teams.
Senior front-end engineer with deep JavaScript, DOM, rendering, automation, auth, and customer-facing experience; able to embed with customers and deploy web-based AI agents.
Dynamo AI: An AI platform that helps enterprises deploy, monitor, and govern production AI systems.
Strong software engineering background; experience deploying, integrating, and operationalizing AI systems in enterprise environments; familiarity with distributed systems, Kubernetes, APIs, production debugging, and enterprise governance.
Mesh: Connecting digital wallets and exchanges for unified cryptocurrency payments.
10+ YOE4+ Mgmt10+ years technical experience with 4+ years leading forward-deployed teams; strong backend/integrations background, partner-facing instincts, hiring and organizational build experience, and payments/crypto integration expertise.