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About This Role
About Away
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We believe travel makes us better. Launched in 2016 with one perfectly designed carry\-on, we now offer a range of luggage and travel essentials for every journey. Together we create, innovate, and embark on this journey as a community of travelers, helping to make travel more seamless for everyone.
Join The Crew
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We are looking for a Supply Chain Systems Analyst to join our Supply Chain Technology team. Reporting to the Sr. Director, Supply Chain Technology, you will play a key role in advancing Away’s operational capabilities by configuring, optimizing, and supporting functional solutions within D365 F\&O. You will serve as a critical bridge between our business teams and technical partners, ensuring efficient operations and high\-performing 3PL integrations that power our global supply chain.
What you’ll do as the Supply Chain Systems Analyst
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- You’ll manage D365 F\&O Supply Chain modules with a primary focus on Master Data and Order\-to\-Cash (O2C) processes to ensure system health and efficiency.
- You’ll maintain and ensure the absolute accuracy of master data (items, vendors, customers, pricing, warehouses, and financial dimensions) in alignment with business requirements and data integrity standards.
- You’ll execute functional configurations and oversee day\-to\-day operations for P2P (purchase orders, receiving, invoicing) and O2C (sales orders, fulfillment, returns, invoicing) processes within D365 F\&O
- You’ll lead the monitoring and troubleshooting of 3PL integrations, partnering closely with technical teams on data mappings, message formats (EDI, APIs, middleware), and proactive error handling
- You’ll conduct requirements gathering, perform FIT/GAP analysis, and drive testing phases (SIT/UAT) and documentation in collaboration with Supply Chain, Finance, and Warehouse teams
- You’ll develop and maintain high\-quality process documentation, training materials, and user guides to empower operational teams and ensure seamless system adoption
Who you are
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- You have at least 3 years of hands\-on experience managing and configuring Microsoft Dynamics 365 Finance \& Operations, specifically within the Supply Chain Management (SCM) modules
- You possess a deep functional understanding of Master Data Management and Order\-to\-Cash (O2C) processes, with the ability to translate business needs into system requirements
- You have a proven track record of implementing or maintaining 3PL integrations, including logistics, inventory synchronization, and shipment confirmations.
- You are comfortable working with system integrations using EDI, APIs, or middleware platforms (e.g., Boomi) and can bridge the gap between business users and technical developers.
- You have excellent communication skills, with the ability to collaborate effectively across internal business units, technical teams, and external partners.
- You take pride in clarity and have experience creating comprehensive user documentation, training materials, and process flow diagrams.
- You’re creative and innovative; you love to build great new things that are fresh and unique while staying on brand
- You’re agile, and motivated by a fast\-paced and ever changing environment
- You’re passionate about transforming travel for all (but that’s a given!)
*Excited to join the team, but not sure you meet all of the qualifications? Please apply, we’d still love to hear from you.*
Who We Are
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- We’re travelers. Travel is about the journey \- the transformative experiences and the growth each trip offers. All employees are encouraged to take time to *get away* through our variety of time away from work offerings.
- We’re driven. The work we do matters and collectively drives impact. No matter the job title, everyone at Away is a meaningful contributor in unlocking our ever growing potential.
- We’re supportive. We value the entirety of your life's journey, not just the milestones. You'll find an environment that celebrates balance, understanding that your personal passions and commitments outside of work, are threads of the same fabric that makes you unique.
What We Offer
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Our total rewards are inclusive of both compensation and benefits. What we offer within a salary range is dependent on a number of factors, including scope and qualifications for the role, skillset, and balancing internal equity relative to other Away employees. Salary and benefit offerings are reviewed during phone screenings to ensure alignment.
- Compensation: $90,000 \- 120,000 annually
- This role is eligible to participate in Away’s Annual Company Performance Incentive Bonus Plan, the terms of which are determined at the discretion of the company
- Equity Grant: commensurate with level determined at the discretion of the company
- Benefits Overview:
+ Take care of yourself and your family through our health insurance offerings
+ Invest in your future by participating in our 401(k) (with a company match!)
+ Find balance through our many paid time off programs (vacation, wellbeing, holidays, summer Fridays, and compassion leave \- just to name a few!)
+ Build your travel uniform through discount codes, product stipends, and giveaways
+ Give back through company\-sponsored volunteer and charitable opportunities
How We Work
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This is a remote role. Regardless of candidate location, our working hours are 9am\-6pm ET to ensure continuity with our business operations.
Our Commitment
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As a company that values diversity, equity, and inclusion, Away seeks individuals of all backgrounds and experiences to apply for this opportunity. We’re creating an environment where everyone can thrive. Our customers are global and diverse, so we’re building a team that is too. Through initiatives like our Employee Resource Groups, anti\-racism training, and bias prevention initiatives, we’re building the cultural foundation that gives people the emotional and physical space to bring their authentic selves to work.
EEOC Statement:
Away is dedicated to hiring a diverse workplace that celebrates an inclusive culture and a sense of belonging. As an equal opportunity employer, we do not discriminate based on race, color, religion, sex (including pregnancy, gender identity, gender expression, and sexual orientation), national origin, age, veteran status, genetic information or disability.
Away is committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, you may contact us at talent@awaytravel.com.
Compensation Range: $90K \- $120K
Salary Context
This $90K-$120K range is above the median for AI/ML Engineer roles in our dataset (median: $100K across 15465 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 26,159 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At Away, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $166,983 based on 13,781 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $131,300. This role's midpoint ($105K) sits 37% below the category median. Disclosed range: $90K to $120K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
Away AI Hiring
Away has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in New York, NY, US. Compensation range: $120K - $120K.
Location Context
AI roles in New York pay a median of $200,000 across 1,670 tracked positions. That's 9% above the national median.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (2,416) are outnumbered by mid-level (16,247) and senior (5,153) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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