VP, AI Platform

Job not on LinkedIn

🕒 September 15

🇺🇸 United States – Remote

💵 $336k - $400k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Hotel Engine

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🏨 Hospitality

📦 Logistics

🛍️ eCommerce

💰 $65M Series B on 2021-12

Hospitality • Logistics • eCommerce

Hotel Engine is a powerful platform that simplifies business travel by allowing companies to easily book, manage, and save on travel needs. The platform offers access to over 750,000 hotels globally, enabling seamless reservations for various group sizes, from small teams to large corporate events. With features like centralized reporting, flexible payment options, and dedicated support, Hotel Engine aims to streamline the travel experience for both organizations and individual travelers, ensuring significant savings in time and money.

📋 Description

• Lead Engine’s AI Platform as a founding VP • Set technical strategy, build hands-on during the early phase, and scale the organization through a Director and principal engineers • Serve on The Triad with Applied AI and Workforce Transformation leaders to prioritize the enterprise AI roadmap and resolve cross-domain decisions • Own the LLM gateway, agent framework, prompt and agent libraries, and evaluation infrastructure • Lead developer experience and the Velocity program, including the AI harness, coding agents, testing, autonomy frameworks, and coverage gates • Rebuild product operations as AI-native software with instrumented cadences, automated reporting, gap analysis, and the PD maturity scorecard • Own shared automation engineering, APIs, orchestration, and integrations • Own AI data infrastructure including retrieval and RAG, context pipelines, evaluation datasets, agent memory, and usage telemetry • Establish observability, security, and cost controls for platform AI in partnership with Security and IT • Maintain one shared enterprise-wide AI platform without parallel stacks • Grow the platform organization across agent platform, infrastructure, evaluation, observability, security, and developer experience • Deliver live, adopted platform rails, measured Velocity baselines, autonomy pathways, a flagship platform capability, security and cost controls, and a functioning Triad rhythm within the first six months

🎯 Requirements

• 15+ years in software or platform engineering • 5+ years leading engineering teams or organizations • 8+ years building platforms or infrastructure other teams depend on • 3+ years hands-on with production AI/ML, including LLMs, agents, and evaluation • Experience building and running shared platforms used by many teams • Experience making build-versus-buy and architecture decisions shaping an engineering organization • Hands-on expertise with LLMs, agents, orchestration, evaluation, latency, cost, reliability, and safety • Ability to personally architect and ship core platform services • Experience partnering with executive peers on technical strategy and driving cross-functional alignment • Proven ability to hire, level, and grow senior engineering talent • Ability to build security, privacy, and safe-use controls into AI infrastructure by default

🏖️ Benefits

• Competitive base pay tied to role and experience • Equity for all employees • Some roles are also eligible for bonuses or commissions • Benefits available through Engine’s full benefits list • Hybrid-hub model with office-based or fully remote environments depending on role • Employer-provided resources to support success in the work environment