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About This Role
Hiring Manager: VP of Telehealth Ops \& Supply Chain
Job Title: Supply Chain Manager
Job Type: W2
Location: Remote
Who We Are
Join our team and help transform lives by delivering life\-changing treatments and exceptional care. We offer a collaborative environment with competitive compensation, professional growth opportunities, and a mission\-driven focus on maximizing value for both our business and customers. With a goal\-centric culture that encourages risk\-taking, self\-empowerment, and transparency, you'll thrive in a fast\-paced setting where making an impact is key.
Our Mission
We are on a mission to tackle America's metabolic health crisis by educating the public on its challenges and offering safe, science\-backed treatments. With over 80 million Americans affected and $600 billion in annual medical costs attributed to metabolic disorders, we provide accessible solutions that empower people to improve their health and maintain lasting results. Our goal is simple: transform lives through education and effective, outcomes\-driven care.
About the Role
Eden Health is hiring a Pharmacy Supply Chain Manager to join the Telehealth Operations team. This role sits at the intersection of pharmacy partner development, supply chain economics, and fulfillment operations. You will own Eden's pharmacy partner network end to end: sourcing and negotiating new relationships, driving down COGs, ensuring we have redundant coverage for every drug in every state we operate in, and making sure our fulfillment SLAs hold as we scale.
This is a hands\-on role. You'll negotiate directly with 503A and 503B pharmacies, build the systems and automation that give us real\-time visibility into fulfillment and cost, and partner closely with our internal ops, data, and tech teams to close gaps before they become member\-facing issues. You'll also serve as the primary liaison between Eden's internal functions (clinical ops, member communications, finance, tech) and our external pharmacy and EMR partners.
Why This Role Exists
------------------------
As Eden's telehealth business scales, so does the complexity and financial weight of our pharmacy supply chain. We work with multiple 503A and 503B partners across different product lines, each with their own pricing, regulatory requirements, and fulfillment workflows. Today we have single points of failure on several drugs and states, limited visibility into daily cost movement, and invoice review that still runs on manual spot\-checks. We need a dedicated owner who can build redundancy into the network, negotiate better economics, and stand up the systems that let leadership run this function with confidence.
Your Responsibilities
### Partner Sourcing, Development \& Negotiation
Own the full lifecycle of pharmacy partner relationships — from sourcing to contract to ongoing performance.
- Identify, evaluate, and onboard new 503A and 503B pharmacy partners to expand Eden's fulfillment network
- Lead commercial negotiations on pricing, rebates, minimum volumes, SLAs, and contract terms
- Build and maintain a pipeline of backup partners so Eden is never dependent on a single supplier for any drug or state
- Serve as Eden's primary day\-to\-day relationship owner across all pharmacy partners, including quarterly business reviews
### COGs \& Financial Performance
Drive measurable improvement in Eden's cost of goods sold across every SKU and partner.
- Own end\-to\-end COGs reporting: pricing validation, SKU mapping, margin analysis, and variance tracking
- Negotiate lower unit costs, volume tiers, and preferred pricing across the partner network
- Analyze partner mix and routing to shift volume toward the lowest\-cost qualified supplier without compromising SLAs
- Partner with Finance to reconcile pricing discrepancies and close margin leakage
### Network Redundancy Across Drugs and States
Ensure Eden has a qualified backup for every drug in every state.
- Maintain a live coverage matrix of drug × state × pharmacy partner, with primary and secondary fulfillment paths
- Identify single points of failure and close them through new partner onboarding or contract expansion
- Coordinate with Legal, Clinical, and Regulatory on licensing, BUD requirements, and state\-by\-state compliance
- Stress\-test the network on a regular cadence and run tabletop exercises for partner outage scenarios
### Fulfillment SLAs \& Ops Partnership
Partner with the Ops team to own fulfillment performance end to end.
- Define and operationalize fulfillment SLAs (fill rate, on\-time ship, turnaround time) with each partner
- Work with Ops to investigate and resolve SLA misses, with clear root\-cause and corrective action
- Escalate systemic issues (routing failures, platform bugs, fulfillment delays) and drive them to resolution
- Lead partner onboarding for new SKUs, hubs, and product launches alongside Ops
### Systems, Process \& Automation
Build the infrastructure that lets Eden run this function without manual spreadsheets and end\-of\-month surprises.
- Develop systems, processes, and automation to monitor fulfillment SLAs in near real time
- Stand up daily cost tracking by pharmacy, by SKU, and by state, with alerting on unexpected variance
- Own the invoice review and approval process: build controls that catch pricing errors, duplicate charges, and off\-contract billing before payment
- Document SOPs and failure\-mode playbooks so partner issues are handled consistently and don't require executive escalation
### Data \& Tech Partnership
Work with Eden's data and tech teams to turn the supply chain into a measurable, automated system.
- Partner with Data to build dashboards and pipelines for fulfillment SLAs, COGs, partner performance, and invoice reconciliation
- Partner with Tech to improve order routing logic, EMR integrations, and automated handoffs between Eden and pharmacy partners
- Translate operational pain points into clear requirements and prioritized work for Data and Tech
- Co\-own the data model for pharmacy operations so every KPI has a single source of truth
Success Metrics
-------------------
Success in this role is measured by both operational excellence and financial performance:
- Network Redundancy: great than or equal to 2 qualified pharmacy partners for every active drug × state combination
- Fill Rate: greater than or equal to 98% across all pharmacy partners
- On\-Time Fulfillment: greater than or equal to 98% against defined SLAs
- COGs: measurable year\-over\-year reduction in cost per unit across the top SKUs
- Invoice Accuracy: greater than or equal to 99% of invoices approved without manual correction
- Capacity: fulfillment network can absorb planned growth without SLA degradation
What You Bring to Eden
Required
- 3\-6 years of experience in supply chain, pharmacy operations, procurement, or a related field
- Demonstrated experience sourcing vendors and negotiating commercial terms (pricing, SLAs, contracts)
- Strong analytical skills — comfortable building reports, tracking KPIs, and using data to drive decisions and negotiations
- Experience owning external partner or vendor relationships in an operational capacity
- Proficiency with spreadsheets and basic data tools (Google Sheets, Excel, or similar)
- Process architecture: experience documenting SOPs and building failure\-mode playbooks that reduce executive escalations
- Cross\-functional coordination: able to translate operational bottlenecks into clear requirements for Legal, Finance, Data, and Tech
- Clarity and professionalism: represents Eden with external partners credibly and holds vendors to our standards for quality and speed
- Bias for action: prefers building a repeatable process over a manual workaround, and consistently looks for ways to automate
Preferred Experience
- Direct experience managing 503A and 503B pharmacy partners, including BUD tracking and regulated fulfillment
- Proven ability to own COGs reporting, map complex SKU data, and use BI tools for margin and capacity analysis
- Familiarity with BI tools (Omni, Looker, Tableau, or similar)
- Experience with pharmacy management or order routing platforms
- Background in telehealth, digital health, or DTC healthcare
- SQL or other data querying experience
What Success Looks Like
---------------------------
### First 30 Days
- Understand Eden's pharmacy partner landscape, product lines, and order routing setup
- Map current drug × state coverage and flag any single points of failure
- Review existing COGs data and identify gaps in pricing and SKU mapping
- Begin taking ownership of day\-to\-day partner communication
### First 90 Days
- Own the day\-to\-day relationship for all active pharmacy partners
- Deliver a complete, accurate COGs report with all active SKUs mapped and a prioritized list of negotiation targets
- Stand up daily cost tracking by pharmacy and a first\-pass SLA monitoring dashboard with Data and Tech
- Document SOPs for the three most common operational failure modes
- Close at least one redundancy gap through partner expansion or onboarding
### First 6 Months
- Every active drug × state combination has a qualified backup pharmacy partner
- Live dashboards for fulfillment SLAs, daily COGs, and invoice status used by leadership in weekly reviews
- Automated invoice review and approval workflow catching pricing errors before payment
- Measurable COGs improvement on the top SKUs through renegotiation or partner mix shift
- At least one new pharmacy partner or product launch delivered end to end
### Compensation \& Benefits
Compensation details to be confirmed by HR. Eden Health offers a competitive salary, equity, comprehensive health benefits, and a remote\-first work environment.
### Housekeeping
Eden is proud to be an equal\-opportunity employer. We provide employment opportunities regardless of age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. Each individual at Eden brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides better services to customers, and helps us all grow and learn.
Compensation at Eden will be determined by skills, experience, and geographic location. Eden has identified the expected annual base salary range for this role: $75\-$90k
At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. At the offer stage, we use the signal
we received from our interviews coupled with your experience, location, and other job\-related factors to determine final compensation.
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Salary Context
This $75K-$90K range is below 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 Eden Health International, 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 ($82K) sits 51% below the category median. Disclosed range: $75K to $90K.
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.
Eden Health International AI Hiring
Eden Health International has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Denver, CO, US. Compensation range: $90K - $90K.
Location Context
AI roles in Denver pay a median of $198,000 across 169 tracked positions. That's 8% 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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