Director of Engineering – Agentic Workflows

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $180 000 - $260 000 / an

⏰ Temps Plein

🔴 Expert

🖥 Ingénieur Logiciel

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Red Ventures

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2000

🏢 Entreprise

💸 Finance

💰 Private Equity Round en 2018-07

Enterprise • AI • Finance

Red Ventures est un portefeuille d'entreprises axé sur la simplification des expériences numériques et aidant des millions de personnes à prendre des décisions éclairées sur des sujets importants. L'entreprise combine la technologie de l'IA, un contenu de haute qualité, et des analyses de données sophistiquées pour personnaliser les expériences numériques pour les clients au sein des marques détenues et en partenariat avec les plus grandes marques mondiales. Red Ventures offre également des services aux clients, aidant les marques mondiales à améliorer leurs parcours clients, et s'engage dans divers investissements incluant des startups et des partenariats stratégiques. Leurs domaines de prédilection incluent l'éducation, la connectivité à domicile, les services financiers, l'énergie et le voyage.

Description

• Lead adoption of agentic workflows and AI-first delivery models across client delivery teams • Build shared services, accelerators, and reusable patterns that materially reduce delivery timelines • Measure and continuously improve delivery efficiency, quality, and consistency • Ensure agentic systems are reliable, maintainable, and applied with clear leverage • Define and scale AI-assisted development practices (Cursor, Windsurf, agent frameworks) • Partner closely with delivery teams to understand friction points and build solutions that drive adoption • Develop compelling business cases for technology investments in agentic systems and AI infrastructure • Quantify impact through metrics like delivery time reduction, quality improvements, and team velocity gains • Communicate technical strategy and ROI to senior leadership and stakeholders • Influence resource allocation and prioritization across competing initiatives • Translate technical capabilities into business value that resonates with non-technical audiences • Set architectural direction for agentic systems, accelerators, and shared AI services • Ensure systems are modular, secure, observable, and production-ready • Uphold strong engineering discipline while balancing innovation and pragmatism • Provide hands-on guidance to Senior and Staff engineers when needed • Define standards across Python, JavaScript/TypeScript, testing, CI/CD, and MLOps • Hire, develop, and retain AI engineers • Set clear expectations, career paths, and growth plans • Foster a culture of accountability, curiosity, experimentation, and delivery • Coach teams to operate effectively in ambiguous, fast-moving environments • Build a team that thinks like internal entrepreneurs; focused on customer (delivery team) adoption and impact • Act as a trusted partner to delivery teams, Product, Design, and Data leadership • Translate business strategy into executable technical plans • Communicate tradeoffs, progress, and impact to senior leaders with clarity and conviction • Influence effectively in a matrixed organization where adoption matters as much as technical execution • Build coalitions and drive alignment across stakeholders with competing priorities.

🎯 Exigences

• 10+ years of engineering experience, including leadership of high-performing teams • Experience building and operating production AI, ML, or data-driven systems • Strong software architecture and technical judgment • Track record of improving delivery velocity and engineering maturity through platform or tooling investments • Proven ability to build investment cases and secure buy-in for technology initiatives • Strong influential communication skills—ability to communicate technical concepts to both technical and non-technical audiences • Experience with modern AI stacks, including LLMs, agent frameworks (LangChain, LangGraph), and ML platforms • Demonstrated hands-on experience building with modern AI technologies (LLMs, agents, RAG systems, evaluation frameworks, etc.) through production systems, prototypes, or personal experimentation. • Strong Python experience; familiarity with JavaScript and TypeScript • Experience with Databricks, MLflow, and modern data platforms • Understanding of traditional ML and how it complements generative AI.

🏖️ Avantages

• Health Insurance Coverage (medical, dental, and vision) • Life Insurance • Short and Long-Term Disability Insurance • Flexible Spending Accounts • Holiday Pay • 401(k) with match • Employee Assistance Program • Paid Parental Bonding Benefit Program • Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.