
51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Wand AI is an enterprise software company (Wand Synthesis AI Inc. ) that builds the “Agentic Labor Infrastructure” to enable governments and large enterprises to create, manage, and scale hybrid workforces composed of humans and autonomous AI agents. Their platform (branded Wand OS / Agentic Workforce Technology) provides management, oversight, interoperability across systems, security options (SOC2-ready, on‑premise/private cloud/hosted), dashboards, decision tracking, and tools for deploying and governing agentic workflows at scale. Wand positions itself as a B2B/enterprise provider that turns AI into operational labor for regulated and large-scale organizations.
🔥 1 hour ago
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51 - 200 employees
Founded 2022
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
Wand AI is an enterprise software company (Wand Synthesis AI Inc. ) that builds the “Agentic Labor Infrastructure” to enable governments and large enterprises to create, manage, and scale hybrid workforces composed of humans and autonomous AI agents. Their platform (branded Wand OS / Agentic Workforce Technology) provides management, oversight, interoperability across systems, security options (SOC2-ready, on‑premise/private cloud/hosted), dashboards, decision tracking, and tools for deploying and governing agentic workflows at scale. Wand positions itself as a B2B/enterprise provider that turns AI into operational labor for regulated and large-scale organizations.
• Design and implement workflows, agents, and integrations on Wand for live customer scenarios. • Turn one-off builds into reusable patterns: templates, starter kits, and internal tools other CEs/SEs can reuse. • Own technical quality: performance, reliability, and auditability of what you ship. • Help customers frame clear technical hypotheses: what needs to be proven for them to buy. • Design lightweight proofs, benchmarks, and evals that credibly answer, “Does this actually work for our data and process?”. • Set up simple measurement for before/after: time saved, error reduction, or volume handled. • Partner with Sales to shape and deliver believable demos and pilots that showcase Wand’s differentiators. • Help design and run onboarding plans: initial workflows, training sessions, office hours, and enablement for power users. • Help design and run onboarding plans: initial workflows, training sessions, office hours, and enablement for power users. • Debug and triage customer-facing issues, working closely with core Engineering when needed. • Contribute Python scripts, API workflows, and reference architectures that show “the Wand way” to build.
• 5+ years in a hands-on technical role such as Sales Engineer, Solutions Architect, Customer/Field Engineer, or Product-adjacent Engineer, working directly with enterprise customers. • Strong practical engineering skills: Comfortable writing Python in a professional context (scripts, services, ETL, automation). • Experience integrating with APIs, webhooks, and data sources (files, DBs, SaaS tools). • Able to design simple, robust systems and debug real-world failures. • Experience building with LLMs or applied AI systems: Prompting, RAG, or agent/workflow orchestration. • You’ve shipped at least one real application, prototype, or internal tool that used an LLM or similar model in production or a serious pilot. • Comfortable in front of customers: Can walk through an architecture diagram, show live workflows, and answer hard questions without hand-waving. • Demonstrated ability to work across the lifecycle: discovery/solution design, proof/pilot build, rollout, and post-launch iteration. • Bachelor’s or Master’s in Computer Science, Engineering, or equivalent practical experience.
• Flexible work arrangements
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