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Lyric

Leases and manages boutique apartment hotels

Forward Deployed Solution Strategist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listedHybrid

About the Job

Requirements

  • At least 15 years of experience in supply chain data science, machine learning engineering, technical consulting, or a related field, with a strong quantitative foundation.
  • Deep expertise applying machine learning and artificial intelligence to supply chain prediction use cases, including demand classification and sensing, statistical and neural forecasting, probabilistic planning, and dynamic pricing or optimization.
  • Hands-on proficiency in end-to-end machine learning workflows, including feature engineering, model training using supervised, unsupervised, neural network, or AutoML approaches, deployment, and production monitoring.
  • Strong working knowledge of supply chain planning domains, including demand planning, inventory, sales and operations planning, and fulfillment, sufficient to engage with technical and business audiences.
  • Demonstrated experience leading and developing a team of data scientists, machine learning engineers, or quantitative analysts.
  • Ability to present to senior customer stakeholders, moderate technical panels, and represent Lyric in high-visibility settings.
  • Ability to explain complex model behavior and results clearly to supply chain engineers and C-suite executives.
  • Ability to navigate ambiguity in a fast-moving startup environment.
  • Proven ability to identify, quantify, and communicate business impact from artificial intelligence and machine learning initiatives.

Responsibilities

  • Own technical workstreams within strategic enterprise accounts, focusing on artificial intelligence and machine learning prediction use cases including demand sensing, forecasting, probabilistic planning, and dynamic optimization.
  • Lead integrated, composed machine-learning workflows that connect predictions with optimization, planning, and execution paradigms.
  • Build and configure models, run experiments, and validate results hands-on alongside the team when needed.
  • Serve as Lyric's subject matter expert on predictions and machine learning for customers and internal stakeholders, establishing credibility with supply chain engineers and data scientists.
  • Translate complex machine-learning concepts and outputs into clear business narratives for customer executives and planning leaders.
  • Build and lead an India-based team of predictions practitioners, including data scientists, machine learning engineers, and operations research modelers, providing technical mentorship, coaching, and performance management.
  • Own in-region executive customer relationships and partner with the US- or EMEA-based Customer Success Business Partner on cross-regional account planning and commercial governance, aligning technical delivery with customer success goals and executive strategy.
  • Participate in quarterly business reviews, success planning sessions, and governance meetings, contributing the technical and predictions-specific perspective.
  • Maintain relationships with customer supply chain engineers, data science teams, and planning leads.
  • Ensure value realization on predictions workstreams and communicate measurable outcomes to customers and internal stakeholders.
  • Identify opportunities to expand the depth and breadth of predictions use cases within existing accounts.
  • Monitor customer health signals related to model performance, adoption, and satisfaction with artificial-intelligence-driven capabilities.
  • Surface actionable technical feedback to Lyric's product and engineering teams to inform roadmap priorities.
  • Partner with Professional Services during onboarding and scaling to ensure strong technical foundations for new customers.

About the Company

Lyric

Leases and manages boutique apartment hotels

Lyric is a hospitality company that runs boutique apartment hotels in major urban centers. It leases and manages residential properties and transforms them into stylish, fully equipped suites that feel like a home away from home. Revenue comes from nightly bookings with pricing that varies by location, demand, and season. The product includes kitchens, custom-designed furniture, premium linens, and curated local guides. Lyric differentiates itself by focusing on thoughtful design and personalized experiences to make each stay unique and memorable. The company’s goal is to provide premium, home-like stays for business travelers, tourists, and other guests seeking a high-quality, curated hospitality experience.

Company size
51-200
Company stage
Series B
Total funding
$179.1M
Headquarters
San Francisco, CA
Founded
2014

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