AI Workflow Engineer

🕒 vor 7 Tagen

🌐 Vereinigte Staaten, Kanada – Remote

🇺🇸 Vereinigte Staaten – Remote 🇨🇦 Kanada – Remote

💵 $170.000 - $220.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Tango

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201 - 500 Mitarbeiter

🏗️ Bauwesen

📦 Logistik

💼 Beratung

Construction • Logistics • Consulting

Tango ist ein Softwareunternehmen, das eine Plattform für vernetzte Intelligenz zur Verwaltung von Gewerbeimmobilien über den gesamten Lebenszyklus einer Immobilie hinweg anbietet. Seine SaaS-Produkte umfassen Portfoliostrategie, Standortauswahl und prädiktive Analysen, Miet- und Transaktionsmanagement, Projekt- und Wartungskoordination, Belegungs- und Arbeitsplatztools sowie Energie- und Nachhaltigkeitslösungen (Versorgungs-, Emissions- und ESG-Berichterstattung). Tango bedient Kunden aus den Bereichen Unternehmensimmobilien, Einzelhandel, Vermieter und Regierung, um Raum zu optimieren, Kosten zu senken und Nachhaltigkeitsziele zu erreichen.

Beschreibung

• Partner with leaders across Finance/RevOps, Go-To-Market, Services, HR/Legal, and Engineering to identify the highest-leverage opportunities to embed AI into real operating workflows (not one-off demos). • Facilitate discovery: map current-state processes, quantify pain points, define “good” outcomes, and translate ambiguous needs into clear workflow requirements and success metrics. • Build and maintain an AI workflow roadmap sequenced by business impact, readiness, and change capacity; align priorities with function leaders and the AI Transformation team. • Drive build-versus-buy assessments for each opportunity (SaaS tools, platforms, automation solutions), delivering a clear recommendation and implementation approach. • Lead change management and enablement: run working sessions, produce playbooks, host trainings/brown bags, and coach teams to raise AI literacy and sustained adoption. • Create reusable patterns and standards for “AI in internal tools” (workflow templates, governance checklists, measurement frameworks) so other teams can move faster. • Establish operational guardrails for AI-enabled workflows in partnership with Security, Legal, and Compliance (data handling, PII safety, access controls, prompt injection resilience, human-in-the-loop requirements). • Define evaluation and monitoring expectations for workflows (accuracy/quality, safety, cost, latency, adoption); implement feedback loops so workflows improve over time.

🎯 Anforderungen

• 6+ years of experience in internal consulting, business operations, business systems, product operations, solutions architecture, or an equivalent role that sits at the intersection of business and technology. • Must have software-engineering experience, including 4+ years shipping internal AI-native tools to production. • Must have experience standing up an internal AI program, workflow automation COE, or “AI for employees” capability at a prior company. • Experience in B2B SaaS, enterprise workflows, and/or regulated or high-compliance environments (privacy, security, auditability). • Strong stakeholder management: comfortable influencing across functions, aligning senior leaders, and driving decisions amid competing priorities. • Ability to translate business problems into structured requirements, operating metrics, and phased delivery plans. • AI fluency: understanding of how LLM-based systems work (prompting, retrieval, tool use/function calling at a conceptual level) and how to evaluate quality, risk, and cost/latency trade-offs. • Experience evaluating and implementing software solutions (build vs buy), including vendor assessment, security reviews, rollout planning, and ongoing ownership models. • Comfort working with technical teams and artifacts (PRDs/briefs, user stories, acceptance criteria, basic data models). • Ability to prototype in low-code/no-code tools is a must. • Strong analytical and measurement skills: can baseline, instrument, and report outcomes; can distinguish adoption activity from true impact. • Excellent written and verbal communication: can create crisp briefs, run effective workshops, and communicate trade-offs to both technical and non-technical audiences. • High ownership and bias to action; thrives in fast-moving SaaS environments with evolving AI tooling. • Bachelor’s degree in a related field (Business, Information Systems, Engineering, Computer Science) or equivalent practical experience.

🏖️ Vorteile

• Comprehensive Benefits Including health, dental, and vision insurance • 401(k) plan with company match • Generous paid time off to support your well-being • Flexible Work Environment Whether remote, hybrid, or in-office • Inclusive & Collaborative Culture