Manager, Software Engineering – AI Tools

🕒 vor 14 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

🔴 Experte

👮‍♀️ Leiter Softwareentwicklung

👻 Geisterscore 18%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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ai2io

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

💼 Beratung

📣 Marketing

📦 Logistik

Consulting • Marketing • Logistics

ai2io ist ein Technologieberatungs- und Lösungsunternehmen, das Unternehmen dabei unterstützt, Werkzeuge auszuwählen, zu entwerfen, zu bauen, zu integrieren und zu automatisieren, um sie in bestehende Arbeitsabläufe zu integrieren. Sie positionieren sich als vertrauenswürdiger Partner, der Kunden durch Technologieentscheidungen führt und die digitale Transformation beschleunigt, um die Betriebseffizienz und Geschäftsergebnisse zu verbessern.

Beschreibung

• Lead the people, capability, and operating environment behind AI2IO's growing AI platform and agent ecosystem • Serve as formal people manager for all engineers and AI Engineer Technical Leads on the AI Tools team • Conduct one-on-ones, set expectations, provide feedback, complete performance reviews, and plan professional development • Build team capability through learning, pairing, assignments, mentoring, hiring, and onboarding • Maintain visibility into capacity, critical skills, dependencies, succession risks, and staffing needs • Ensure staffing, role clarity, decision pathways, tools, and organizational support enable sustainable delivery • Partner with Technical Leads and Project Managers on delivery health, risks, dependencies, capacity, and recovery • Translate AI strategy and architectural direction into objectives, context, capability needs, dependencies, risks, and intake-ready work • Participate in developer discussions and intake across AI specialists, software engineers, delivery partners, and leadership • Develop workforce capability across AI application engineering, agents, semantic engineering, ontology and taxonomy, data science, knowledge graphs, retrieval, data pipelines, evaluation, responsible AI, governance, platform operations, and software engineering • Support responsible AI, data governance, access control, evaluation, observability, model-risk, knowledge-quality, and operational practices • Establish healthy team practices for candid discussion of risks, uncertainty, mistakes, disagreements, workload concerns, and alternative viewpoints • Lead hiring, structured selection, interviewer calibration, candidate recommendations, onboarding, and retention-risk responses • Maintain clear boundaries with Technical Leads, Architects, Project Managers, Product Owners, and Business Analysts • Improve performance management, career development, hiring, onboarding, workforce planning, team operating practices, and leadership continuity • Contribute to department-level capability planning, organizational design, role definition, career frameworks, cross-team staffing, leadership development, and organizational change

🎯 Anforderungen

• Demonstrated professional experience leading, managing, architecting, or delivering production AI or LLM platforms or applications • Credible fluency across agent systems, semantic engineering, retrieval, data science, data engineering, data governance, knowledge graphs, evaluation, responsible AI, and production AI operations • Demonstrated ability to translate complex technical or architectural direction into organizational context, capability needs, risks, dependencies, and actionable team understanding • Experience managing performance, difficult feedback, recognition, development, reviews, promotions, and sustained performance concerns • Experience managing engineers and technical leaders while preserving clear authority for AI Engineer Technical Leads, Architects, Product Owners, Business Analysts, and Project Managers • Experience with workforce planning, hiring, skill-gap assessment, onboarding, retention, succession, and staffing recommendations for specialized teams • Sufficient software-engineering foundation to assess application architecture, APIs, data, identity, security, testing, CI/CD, observability, dependency, delivery, support, and operational risk • Experience supporting responsible AI, data-governance, access-control, evaluation, observability, or model-risk practices • Ability to communicate complex AI and data concepts to AI specialists, software teams, product and delivery partners, and leadership • Experience managing distributed or remote teams and improving team practices, documentation, and leadership continuity • Excellent interpersonal, written, verbal, coaching, facilitation, conflict-resolution, and organizational judgment • Experience managing teams that build production AI platforms, agent frameworks, knowledge graphs, semantic layers, retrieval systems, or AI-enabled enterprise applications • Hands-on background in AI architecture, LLM application development, data science, data engineering, ontology or taxonomy design, graph technologies, or semantic engineering • Experience with Azure AI Foundry, Azure OpenAI, Semantic Kernel, Azure AI Search, Python agent frameworks, Microsoft Azure, C#/.NET, or adjacent enterprise AI platforms • Experience applying AI to AEC, commissioning, engineering design, proposal development, document-intensive workflows, or domain-specific business processes • Experience developing Technical Leads, AI specialists, data professionals, or emerging technical leaders • 8+ years of professional software engineering, AI engineering, data engineering, data science, or closely related technical-delivery experience • At least 2 years of formal people management within a software or technology organization • Bachelor's degree in a related field, or equivalent experience preferred • Up to 5% travel, potentially to any or all 50 US states

🏖️ Vorteile

• Choice of comprehensive medical plans (including two PPO-style plans and a HDHP w/ HSA option) • Flex spending accounts (FSA) • Dental and vision plans • Comprehensive medical, dental and vision benefits extended to spouse / domestic partner and dependent children up to age 26 • 401k with company match and self-directed brokerage account option • PTO including additional paid time off during the last week of the year • Company paid life insurance coverage for employees and their eligible dependents • Short and long-term disability, AD&D coverage • Professional development opportunities • Tuition reimbursement and professional licensing assistance • Paid parental leave after one year of employment

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