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Lyric

Leases and manages boutique apartment hotels

Forward Deployed Solution Strategist

Full-Time
No salary listed
Expert
India+1 moreMore locations: Bengaluru, Karnataka, India
Hybrid
AI & Machine LearningApplied Machine Learning

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 and unsupervised methods, neural networks and AutoML, 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 the company 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 the 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; provide 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 AI-driven capabilities.
  • Surface actionable technical feedback to product and engineering teams to inform roadmap priorities.
  • Partner with Professional Services during onboarding and scaling to establish strong technical foundations for new customers.

About the company

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, California

Founded

2014

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Simplify's Take

What believers are saying

  • Lyric.com updated September 2026, showing an active brand and operating website.
  • LinkedIn still describes Lyric as designing and operating accommodations for modern travelers.
  • New York’s 70 Pine page suggests a surviving flagship property and urban beachhead.

What critics are saying

  • Lyric’s 2020 shutdown of most locations proves fragile unit economics and demand dependence.
  • Wheelhouse spun out in 2022, removing Lyric’s most valuable software advantage.
  • If occupancy weakens again, landlords like Mint House can replace Lyric's remaining properties quickly.

What makes Lyric unique

  • Lyric.com still markets Creative Suites and 70 Pine, signaling premium urban positioning in 2026.
  • Lyric combines design-led apartments, kitchens, and hotel operations for business travelers.
  • Airbnb-backed capital and Tishman Speyer partnerships still support its real-estate access.

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Benefits

  • Company Equity
  • Remote Work Options
  • Performance Bonus

Growth & Insights

Headcount

6 month growth

22%

1 year growth

22%

2 year growth

22%