--- title: 'Forward Deployed Engineer at Wand Synthesis AI Inc' canonical: 'https://feeny.ai/job/forward-deployed-engineer-wand-synthesis-ai-inc-united-states-jykj353np186' type: 'job' last_seen: '2026-09-07' --- # Forward Deployed Engineer at Wand Synthesis AI Inc - **Company:** Wand Synthesis AI Inc - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-07-14 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/wand-ai/81bcb55e-c0a6-4772-959a-faf7f788aca9 ## Job description ## BUILD THE FUTURE WORKFORCE Wand turns AI into labor. It enables humans and AI agents to operate together as a unified, hybrid workforce, with comprehensive management and oversight. And it’s already operating at scale inside some of the world’s largest organizations. Wand built the world’s first Agentic Labor Infrastructure enabling governments and global enterprises to create, manage, and scale digital workforces. Our mission is to integrate agent ecosystems into the core of work and business, unlocking a generational leap in the global economy. We’re building the infrastructure that lets humans and AI agents operate together safely, transparently, and at scale. ## JOIN WAND IN LEADING THE AGENTIC SHIFT Wand is building a high-performing global team who take full ownership of what they build. We lead by example, move fast, make data-aware decisions, and continuously push for more- always with a focus on delivering real value to customers. You would be joining a world-class team that combines deep research expertise and real-world product execution, with experience spanning Deepmind, Google, Amazon, Miro, Elise AI, IBM and Accern. ## ABOUT THE ROLE We’re hiring a hands-on Forward Deployed Engineer to work directly with enterprise customers and help them see value from Wand AI quickly from evaluation through production deployment. This is a highly customer-facing role at the intersection of engineering, solution architecture, agentic AI, and customer delivery. You’ll work closely with customers to understand their business needs, identify high-value use cases, design and build agentic solutions, configure and integrate Wand into their environment, and present working solutions that clearly demonstrate business impact. You should be comfortable speaking with both technical and executive stakeholders, moving quickly from problem discovery to prototype, and turning complex workflows into production-ready agents and multi-agent systems. This is a builder’s role in a fast-moving startup: you’ll operate with minimal hand-holding, bring structure to ambiguous customer problems, and own the technical path to value. ## WHAT YOU'LL DO - Work directly with enterprise customers to understand their business needs, operational workflows, pain points, and success criteria. - Design, build, and present agentic solutions, prototypes, and workflows that demonstrate value to customers. - Own end-to-end technical deployments of Wand for US enterprise customers, from evaluation and solution design through production go-live. - Translate customer needs into clear solution designs, agent architectures, workflow logic, integration specs, and deployment plans. - Present technical solutions, demos, prototypes, and deployment plans to customer stakeholders, including technical teams, business leaders, and executives. - Troubleshoot across APIs, authentication, data, workflow logic, agent behavior, and customer systems. - Support late-stage pre-sales when solution design, technical feasibility, implementation planning, or customer value demonstration is critical. - Create implementation playbooks, solution patterns, demo flows, and deployment documentation that make future deployments faster. ## WHAT WE'RE LOOKING FOR - Demonstrated hands-on experience in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, AI Engineer, Implementation Engineer, Solutions Architect, Technical Consultant, or similar. - Strong experience building agents, agentic workflows, LLM-powered applications, or AI automation solutions. - Ability to understand customer needs quickly and translate them into working technical solutions, not just documentation or coordination plans. - Strong practical experience with LLMs, prompt engineering, tool-calling, RAG, orchestration, multi-agent workflows, evaluation, and agent behavior debugging. - Experience with frameworks or tools such as LangGraph, LangChain, CrewAI, or similar agentic/LLM development frameworks. - Strong hands-on skills with APIs, integrations, scripting, debugging, and cloud/web environments. - Coding or scripting ability in Python, JavaScript/TypeScript, or similar. - Ability to build quickly, demo effectively, and iterate based on customer feedback. - Clear communication with both technical and non-technical audiences. - High ownership: you drive customer outcomes, unblock yourself, and move fast without waiting for perfect instructions. - Comfort with ambiguity and shifting priorities in an early-stage, high-growth environment. ## PREFERRED EXPERIENCE - Experience deploying AI, agentic, automation, or enterprise SaaS products into production environments. - Experience building customer-facing demos, prototypes, or proof-of-value solutions. - Experience working in pre-sales, post-sales, implementation, or field engineering environments. - Integration experience with REST APIs, webhooks, OAuth, JWT, mTLS, and third-party enterprise systems. - Experience with VPC or on-prem deployments, cloud infrastructure, containers, databases, logs, and production troubleshooting. - Familiarity with enterprise security, data privacy, RBAC, audit, governance, and compliance requirements. - Experience working with regulated industries or enterprise customers with complex security and compliance needs. - Prior startup experience in an early-stage or high-growth setting. ## WHO THRIVES HERE Builders who can sit with a customer, understand the real problem, quickly build an agentic solution, and present it clearly enough that the customer immediately sees the value. You’ll thrive here if you are technical, customer-facing, fast-moving, and independent. You prototype and debug rather than only coordinate. You take responsibility for the customer outcome, communicate proactively, flag risks early, and follow through. You are comfortable being the technical adult in the room, whether you’re speaking with a customer’s security architect, operations lead, engineering team, or COO. We’re looking for someone low-ego, collaborative, sharp, and highly accountable — someone who can build trust with customers while also building real technical solutions. ## About Wand Synthesis AI Inc ## Company Overview - **One-liner**: Wand AI builds the world’s first Agentic Labor Infrastructure, an operating system that enables governments and global enterprises to create, manage, and scale hybrid workforces where humans and AI agents collaborate seamlessly. - **Entity Type**: Private (Seed stage; $15M total funding) - **Headquarters**: Palo Alto, California, United States (also operates from Tel Aviv, Israel) - **Founded**: 2022 - **Founders**: Rotem Alaluf (CEO), Eli Osherovich (Co-Founder) ## Core Business - **Primary industry/industries**: Enterprise AI Infrastructure, Agentic Automation, Workforce Management - **Target customers**: Governments and global enterprises (B2B, Enterprise) - **Mission or purpose statement**: “To drive a generational leap for the global economy by integrating agent ecosystems into the core of work, business, and society — making this shift safe, transparent, and radically efficient.” ## Products & Services - **Agent Control Panel**: Configure, monitor, and govern every AI agent with live performance data, budget restrictions, and compliance controls. - **Collaboration Platform**: A shared chat workspace where humans prompt, collaborate with, and coach AI agents in real-time. - **Process Automation**: Agents run complex workflows end-to-end, triggering tasks and escalating edge cases to humans. - **Division Automation**: Hand an entire function (e.g., customer support, data operations) to AI when the business is ready, scaling from single processes to fully autonomous divisions. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: $15.0M in total funding across 2 rounds - **Notable Investors/Partners**: InnoRevo Ventures (lead investor in seed round); backed by world-renowned entrepreneurs and leading U.S.-based venture capital firms. Acquired Accern (2025-02-07). - **Growth Signals**: - Headcount of 48 employees (+5.8% YoY), operating in 13 countries - 21 active job postings (monthly job postings up +200%) - LinkedIn followers: 113,174 (monthly +0.1%, yearly +1.6%) - Talent sourced from Amazon Web Services, Microsoft, IBM, Jasper, and others - SOC2-ready with flexible deployment (on-premise, private cloud, hosted) ## Competitive Advantages - **Full-Stack Workforce OS**: One platform for creation, execution, collaboration, and governance — unlike point solutions that only automate tasks. - **Governed Autonomy**: Agents stay budget-positive and compliant under built-in rules and guardrails, with decision tracking and accountability dashboards. - **Human-First Adoption**: Real-time chat, clear escalation paths, and role-based controls keep people in command. - **Self-Evolving Intelligence**: Agents retrain, build new agents, and refine workflows automatically, compounding ROI over time. - **Interoperability**: Agents work across systems, tools, and departments, eliminating silos and enabling unified operations. ## Strategic Focus - **Category creation**: Defining the “Agentic Labor Infrastructure” category and becoming the company the world thinks of first for using AI to create real business value. - **Scaling the hybrid workforce**: Enabling enterprises to move from single-process automation to full-division autonomy. - **Global expansion**: Operating in 13 countries with a growing presence in Middle East, Europe, and Asia. - **Talent acquisition**: Aggressively hiring across engineering, product, go-to-market, and marketing to build foundational infrastructure at the frontier of AI. ## Why Work Here - **Culture highlights**: “Real ownership from day one” and “the chance to help define a category, not iterate inside one.” The team includes talent from DeepMind, Google Brain, Microsoft Research, and other industry leaders. - **Remote/hybrid/office policy**: Not explicitly stated, but the company operates across 13 countries with employees in the US, India, UAE, Israel, Ukraine, Poland, Netherlands, Denmark, Switzerland, Germany, and more — suggesting a distributed/remote-friendly model. - **Notable perks or engineering culture**: - Employer rating: 3.7/5.0 (13 reviews) — Compensation rated 3.9, Career growth rated 3.9 - Work on foundational infrastructure at the frontier of AI (agent runtime, orchestration layer, customer-facing products) - SOC2-ready security posture and enterprise-grade deployment options - Opportunity to work on a product that “will change how organizations everywhere operate” - **Open roles include**: Head of Product Security & Compliance, Head of Engineering (Organization & Governance), Senior Backend Engineer, Senior ML Engineer, Senior Site Reliability Engineer, Customer Solutions Engineer, Engineering Manager (Full Stack/Frontend), and more. ## Sources 1. [wand.ai](https://wand.ai/) 2. [wand.ai/careers](https://wand.ai/careers) 3. [LinkedIn - Wand AI](https://www.linkedin.com/company/wand1) 4. [wand.ai - Meet Wand: What We Build, Why It Matters](https://wand.ai/blog-old2/meet-wand-what-we-build-why-it-matters) 5. [CB Insights - Wand AI](https://www.cbinsights.com/company/wand-1) ## Other roles at Wand Synthesis AI Inc - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-wand-synthesis-ai-inc-asia-rznr59s7akbg) — Asia - [Principal AI Solution Architect- Sales](https://feeny.ai/job/principal-ai-solution-architect-sales-wand-synthesis-ai-inc-united-states-3ezamxgpe3b9) — United States - [Staff Machine Learning Engineer, Agent Memory & Reasoning (University)](https://feeny.ai/job/staff-machine-learning-engineer-agent-memory-reasoning-university-wand-s0acgez56cp6) — United States - [Staff Fullstack Engineer, Backend Focus (Wandy)](https://feeny.ai/job/staff-fullstack-engineer-backend-focus-wandy-wand-synthesis-ai-inc-europe-r2vs2jvwad05) — Europe - [Senior Full-Stack Engineer, Frontend Focus (Wandy)](https://feeny.ai/job/senior-full-stack-engineer-frontend-focus-wandy-wand-synthesis-ai-inc-europe-9hnakrf40tjn) — Europe - [Staff Software Engineer, Backend / Agent Orchestration](https://feeny.ai/job/staff-software-engineer-backend-agent-orchestration-wand-synthesis-ai-inc-india-hnbed7vje0xc) — India - [Staff Software Engineer, AI (Org & Governance)](https://feeny.ai/job/staff-software-engineer-ai-org-governance-wand-synthesis-ai-inc-europe-qsky39ws8t18) — Europe - [Product Marketing Manager](https://feeny.ai/job/product-marketing-manager-wand-synthesis-ai-inc-united-states-bh3rdptxteeb) — United States - [Senior Sales Engineer](https://feeny.ai/job/senior-sales-engineer-wand-synthesis-ai-inc-united-states-tp2ea24hve8e) — United States - [Regional VP Sales](https://feeny.ai/job/regional-vp-sales-wand-synthesis-ai-inc-israel-565zc3f5nz1q) — Israel