---
title: 'Staff Software Engineer, AI (Org & Governance) at Wand Synthesis AI Inc'
canonical: 'https://feeny.ai/job/staff-software-engineer-ai-org-governance-wand-synthesis-ai-inc-europe-qsky39ws8t18'
type: 'job'
last_seen: '2026-09-14'
---

# Staff Software Engineer, AI (Org & Governance) at Wand Synthesis AI Inc

- **Company:** Wand Synthesis AI Inc
- **Location:** Europe
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-08
- **Last confirmed live:** 2026-09-14
- **Apply:** https://jobs.ashbyhq.com/wand-ai/2082c495-b951-44e9-94ee-6120ddc7db68

## 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.

Position Summary We're hiring a Staff Software Engineer to build the AI and agentic engines behind governance at Wand: systems that reason over messy, non-deterministic organizational data to catch policy violations, flag risk, and surface what humans actually need to see. This isn't about using AI day to day. It's about having built it: agentic workflows, models, or systems that went from idea to production. You'll join the Org Intelligence team as one of its most senior technical voices, with the autonomy to propose an approach, defend it, and then go build it, largely on your own. We're a small, remote-first, high-trust team. There's no hand holding here and not much process either. You own the problem end to end.

## Role Responsibilities

- Design and build AI and agentic systems that analyze organizational data to catch policy violations, compliance risks, and governance issues, often from ambiguous, non-deterministic signals.
- Build agents and pipelines that use LLMs to reason over large volumes of data, going well beyond deterministic, rule based checks.
- Architect and build knowledge graph systems that model organizational structure and relationships, and make that context usable by agents.
- Take a fuzzy, undefined problem ("find policy violations across messy data"), propose a real technical approach, defend it, then build it with minimal oversight.
- Bring engineering rigor to inherently fuzzy territory: testing, evaluating, and iterating on how well your agents actually perform.
- Partner with the rest of the Org Intelligence team to get AI-driven insight into the product's governance and compliance surfaces.
- Contribute across the stack when it helps, though the core of this role is the AI and agent layer, not the UI.

## Key Requirements

- A track record of building AI systems as a creator, not a consumer. You can talk in real depth about an agentic workflow, model, or system you built and shipped, not just a tool you use day to day.
- Experience building or working with knowledge graphs in a real, shipped system.
- Experience building agents or LLM based systems that reason over unstructured or ambiguous data, not simple deterministic pipelines.
- Comfortable owning a project from architecture to delivery with real autonomy: you propose the design, defend it, then build it.
- Strong software engineering fundamentals and the independence to thrive in a fast moving, remote first, senior-heavy team.
- A history of turning fuzzy, non-trivial problems into concrete, working systems.
- Practical experience with knowledge graph tooling: graph databases and query languages such as Neo4j/Cypher, RDF/SPARQL, Amazon Neptune, or similar.
- Hands on experience with LLM provider APIs (OpenAI, Anthropic, or similar) and agent frameworks such as LangChain or LangGraph.
- Comfortable with retrieval infrastructure like vector databases (Pinecone, Weaviate, pgvector, or similar) for grounding agent reasoning in organizational data.
- Strong in a language well suited to graph construction, agent pipelines, and data analysis

## Preferred Experience

- Experience building security, risk, or compliance related tooling, especially anything involving policy or violation detection.
- Prior experience at a company building agentic or AI-native products, rather than bolting AI onto an existing product as a feature.
- Comfortable working fully remote, across time zones, on a small and highly autonomous team.

## 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)

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