Customer Solutions Engineer
remoterocketship
- Remote, Oregon, United States
- Remote, Oregon, United States
Über
Build and ship real solutions Design and implement workflows, agents, and integrations on Wand for live customer scenarios (not just demo toys). 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. Lead technical validation (“Proof-to-Contract”) Help customers frame clear technical hypotheses: what needs to be proven (accuracy, coverage, latency, safety) 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. Support pre-sales and pilots Partner with Sales to shape and deliver believable demos and pilots that showcase Wand’s differentiators (agentic workflows, governance, complex document workflows, etc.). Adapt and extend our demo environments rather than rebuilding from scratch each time. Join customer calls to explain how things work under the hood and handle deep technical questions. Drive onboarding, adoption, and expansion Help design and run onboarding plans: initial workflows, training sessions, office hours, and enablement for power users. Instrument your solutions for usage and value (DAU/WAU, agent-hours, workflow runs) and use this data to guide iteration. Partner with Customer Success to identify new use cases and turn proven workflows into broader rollouts. Handle issues with urgency Debug and triage customer-facing issues, working closely with core Engineering when needed. Provide clear, customer-ready explanations, workarounds, and follow-ups. Feed recurring issues back into platform fixes, docs, and playbooks. Build the CE toolbox and playbooks Contribute Python scripts, API workflows, and reference architectures that show “the Wand way” to build. Document patterns for common use cases (e.g., contract review, research copilots, support augmentation) so the next deployment is faster. Help define and refine internal CE rituals: intake criteria, pilot checklists, and demo/pilot templates. Requirements:
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 (homegrown or with tools like LangChain, LlamaIndex, etc.). 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. Can listen deeply, translate fuzzy asks into concrete technical work, and push back when a request doesn’t make sense. 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. Benefits:
Health insurance Retirement plans Paid time off Flexible work arrangements Professional development Equipment allowances
Sprachkenntnisse
- English
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