About the Team

At GOAT Group, the Business Development team is central to the strategic growth of our company. Composed of individual teams that handle Strategy, New Business Initiatives, Partnerships and Account Management, the department leads a global supply-focused initiative that works with brand partners, retailers and power sellers to secure new inventory and widen exposure for GOAT Group. As our company continues to expand both at home and abroad, you will play an integral part in this exciting next chapter.

Role Overview

Your mandate is threefold: grow GMW and supply health from the existing seller base, build the programs and systems that make your team more effective at scale, and develop a team that thinks and operates like supply growth operators - not relationship managers.  You are maximizing the value of what we already have and building the infrastructure - programs, AI tooling, regional intelligence, accountability structures that makes growth systematic rather than relationship-dependent. 

In this role, you will:

• Own GMV growth and supply health across GOAT's global secondary seller base — footwear, apparel, and collectibles — ensuring the right supply is on the platform at the right time
• Take weekly supply health data and translate it into a clear, prioritized action plan for the account management team — driving account-level decisions, not just reporting on them
• Design and run programs across the AM organization that drive supply growth — including incentive structures, commission programs, and listing campaigns — with end-to-end ownership from ideation through measurement
• Lead AI implementation for the AM function: identify workflows that can be automated or made agentic, build and ship those solutions, and set the vision for how AI changes the coverage model over the next 6-18 months
• Build and manage a rising seller program that identifies high-trajectory sellers and accelerates their growth on the platform through structured support and incentives
• Build and manage a churned and at-risk seller program that detects decline signals early, intervenes proactively, and tracks re-activation outcomes
• Work closely with regional AM leads to develop a structured, ongoing view of market dynamics by region — what is selling in each region, which brands and SKUs represent supply opportunities, and what is specific to each geography
• Partner with the Strategy and Analytics team to ensure supply health data is actionable and that AM-driven actions are measured and fed back to improve future prioritization
• Build a high-accountability team structure: clear ownership, defined performance expectations, and a culture where supply outcomes drive every account conversation
• Manage and develop a global team including lead account managers in each region and their direct reports, coaching relationship-oriented operators into data-driven supply growth professionals

We are looking for:

• 8-12 years of experience in account management, marketplace operations, or seller/partner management — with demonstrated supply or GMV growth outcomes, not just relationship tenure
• 3-5 years of people leadership experience, including direct management of managers
• Proven track record designing and running programs that changed seller or partner behavior at scale — incentive structures, commission programs, or retention campaigns with measurable results
• Demonstrated experience using AI or automation tools in a commercial or operational setting — not theoretical interest, but shipped solutions with specific outcomes
• Data-driven operator who translates weekly supply and performance data into team priorities and account actions without needing the data built for them
• Strong regional and market awareness — experience building structured feedback loops from field teams into commercial strategy
• Two-sided marketplace, resale, or supply-constrained platform experience strongly preferred
• Existing seller or industry network is a plus, but not required — this role grows supply through programs, data, and accountability, not a personal contact list
• Passionate people leader who builds accountability structures, develops commercial talent, and holds teams to outcomes over activity

About the Team

At GOAT Group, the Disputes Team plays a critical role in saving the company’s bottomline from avoidable dispute and chargeback losses while upholding the highest standards of integrity and efficiency.

In this role, you will:

• Handle escalated and complex dispute cases, providing support for the team.
• Investigate and resolve disputed transactions from credit/debit cardholders and online payment systems.
• Gather and analyze data to determine the appropriate course of action for disputes.
• Review queued transactions to identify fraudulent or legitimate activities.
• Collaborate on projects to improve processes and procedures within the Disputes Team.
• Communicate trends and best practices to peers and leadership regarding fraud and disputes.
• Ensure compliance with applicable laws and regulations throughout the dispute process.
• Continuously seek ways to increase speed, efficiency, and accuracy in operations.
• Maximize transaction reviews while minimizing errors and losses.
• Maintain a positive attitude and be flexible in adjusting responsibilities as needed, including working one weekend day per week.
• Flexibility in working hours, particularly during peak seasons.

We are looking for: 

• 3+ years of experience in fraud prevention and disputes management.
• In-depth knowledge of fraud and disputes systems and processes.
• Strong proficiency in spreadsheets and Excel (intermediate to advanced level).
• Excellent written and verbal communication skills, with the ability to simplify complex topics.
• Strong analytical and logical thinking skills for decision-making.
• Highly organized, able to meet critical deadlines, and effectively support team members.

Role Overview

GOAT is seeking a Workforce Real-Time Analyst to join our growing team. The ideal candidate should have experience with occupancy, schedule adherence, and contact center KPIs in a fast-paced, performance-driven environment. Responsibilities include monitoring and analyzing Customer Service Representatives' performance. We're looking for an innovative thinker comfortable collaborating across departments. This role requires someone who is detail-oriented, analytical, and capable of managing multiple agents while balancing workforce and staffing needs effectively.

In this role, you will:

• Conduct real-time analysis of agent occupancy and schedule adherence to ensure optimal performance.
• Analyze staffing levels, scheduling gaps, and overall staffing performance while following customer service standards to maximize labor efficiency.
• Manage intra-day workforce performance and monitor shrinkage trends to identify areas for improvement.
• Report on oldest contacts by team, backlog, and skipped contacts to maintain operational effectiveness.
• Maintain an agent master file with updated staffing, attrition, and departmental changes, ensuring effective communication of any outlying agent performance in real-time.
• Remain flexible to take on additional assignments as needed.

We are looking for: 

• Experience with Workforce Management (WFM) in a multi-channel environment.
• Proficient in WFM and scheduling software such as Verint, Aspect, Assembled, Nice.
• Strong skills in Microsoft Excel or Google Sheets.
• Excellent interpersonal and communication abilities.
• Strong analytical and problem-solving skills.
• Highly organized, capable of managing competing priorities.
• Ambitious and consistent, with a comfortability in diverse and challenging situations.

Role Overview
GOAT is seeking a Workforce Scheduler to join the growing team.  This individual should have experience with schedule adherence and resource planning for a fast-growing business and performance-based culture.  You will be responsible for the generation, validation, and publication of Customer Service rosters.  The ideal candidate will be an innovative thinker who is comfortable working across a variety of departments. This role requires someone who is detail oriented, analytical, capable of tracking multiple sites, and able to successfully balance the workforce and staffing.

In this role, you will:

• Be working a shift Pacific Time Zone: 9am - 5pm Monday-Friday
• Manage all schedule requests and exceptions, optimize short term planned workforce
• Generate and deliver domestic and global agent rosters by assigned due date
• Follow Customer Service standards while maximizing labor efficiency
• Provide recommendations to CS leadership on how to best approach operational challenges, providing data and ad-hoc reports to various levels of management
• Monitor and report shrinkage trends
• Strategically plan and validate agent roster with focus on variety of forecast scenarios such as peak periods and events
• Be flexible to manage other assignments as they arise
• Monitor and analyze schedule adherence and productivity
• Report on agent performance on a weekly and monthly basis
• Serve as SME for WFM related topics

We are looking for: 

• Experience with WFM, preferably in a multi-channel environment
• Previous experience with WFM and scheduling software
• Strong Microsoft Excel skills
• Excellent interpersonal and communication skills
• Ability to manage large volumes of information and tell stories with data
• Strong analytical and problem solving skills
• Highly organized with the ability to manage sometimes competing priorities
• Ambitious, consistent, and comfortable with diversity and adversity

Overview

The Account Administrator, Direct Supply supports the direct supply business at GOAT across all direct brand inventory. This role is the operational backbone of the direct supply team, ensuring products move from partner to marketplace accurately, efficiently, and on time - enabling Account Managers to focus on growing relationships and hitting KPIs. 

In this role, you will:

• Support the direct supply business in daily administrative functions, with a strong focus on accuracy, cross-functional coordination, problem solving and operational execution
• Manage day-to-day tasks by working closely with Account Managers to keep partners supported and operations running smoothly
• Follow established processes with a high degree of accuracy, escalating issues proactively
• Ensure products are available for sale and accurately listed in the GOAT marketplace
• Own product listing setup for partners, coordinating with internal teams to gather required product information and assets, to ensure we have all listings created 
• Troubleshoot and resolve issues that prevent inventory from being created or going live
• Own the direct brand purchase order flow end-to-end
• Participate in seasonal buying appointments with Account Managers to support order creation
• Submit and track orders with partners, reviewing confirmations and flagging discrepancies
• Proactively follow up with partners to confirm shipments adhere to agreed delivery windows
• Coordinate inbound logistics across internal teams and external partners to ensure timely, accurate deliveries
• Prepare and distribute delivery details to relevant internal teams ahead of each shipment
• Activate and price inventory upon receipt; reconcile received quantities against invoices and resolve discrepancies
• Coordinate cross-functionally to keep all business verticals on track
• Partner with Logistics, Compliance, Operations, Finance, Merchandising, Product Catalog, Data and Engineering to support smooth end-to-end execution across the direct supply business
• Support campaigns, launches, and seasonal activations
• Manage operational details for brand partnerships, exclusive launches, and key moments
• Coordinate across teams to ensure inventory is ready to go live accurately and on time
• Serve as a day-to-day operational point of contact for partners, handling status updates, confirmations, and issue resolution
• Own recurring operational tasks including partner payouts, cost management, and seasonal markdowns
• Maintain and improve processes that reduce errors and drive operational efficiency
• Follow established workflows with precision; identify gaps or inconsistencies and bring solutions to the team
• Track inventory performance and share insights with the Account Management team
• Support regular and ad hoc reporting needs

We are looking for:

• 1–3 years of experience
• Experience in a retail, brand, or wholesale environment preferred
• Highly organized with the ability to prioritize workload independently
• Follows processes precisely with a high attention to detail
• Strong communication, interpersonal, and analytical skills
• Confidentiality and discretion a must
• Self-motivated and resourceful with a can-do attitude
• Commitment to a VIP level of customer service
• Proven ability to thrive in a collaborative, cross-functional environment
• Mac and Excel proficient, with familiarity with web-based platforms
• Experience with data entry
• Familiarity with AI tools (e.g. ChatGPT, Claude, or similar) a plus
• Sneaker or apparel industry knowledge not required, but a plus

About the team

At GOAT Group, the Engineering team is an integral part of our dynamic company. By joining the team, your skills will be front and center, working alongside other passionate individuals to solve problems and build software. From launching compelling new consumer experiences, tackling global logistics challenges to scaling infrastructure to facilitate our rapid growth – technology is essential to driving our vision forward. The work you do will change the way the world shops, while also empowering entrepreneurs, including individual sellers, brands and boutiques.

We are looking for a Senior Backend Engineer to join our Consumer team. This is an immediate, high-impact role, you will own backend architecture and execution across our consumer facing features. We need someone who doesn't wait to be told what to build, you see the opportunity, rally the team, and ship it. The team has high autonomy to come up with innovative initiatives, ship them quickly and iterate.

What You'll Do

• Lead backend architecture and system design, proactively proposing and driving new systems that support critical customer facing features
• Take point on initiatives, owning the backend roadmap, driving technical decisions, and coordinating cross-functional delivery
• Optimize existing systems for performance, reliability, and cost. You treat production health as a first-class priority, not an afterthought
• Serve as the team's technical anchor: set engineering standards, lead design reviews, unblock teammates
• Manage technical roadmap  and problems of significantly larger scope, from formulating an efficient game plan to delivering stable, well-tested features on time
• Make technical recommendations that improve the codebase while minimizing risk; identify and fix (or ideally prevent) bugs and performance bottlenecks
• Coordinate and communicate seamlessly across engineering, product, and design teams
• Leverage AI coding tools (Claude, Codex, etc.) to accelerate development velocity for yourself and the team

What We're Looking For

• 5+ years of software engineering experience, with deep expertise in backend / distributed systems
• Proven track record of leading a team to execute and ship features, you've been the tech lead others rely on
• Strong proficiency in Go, Python, Ruby, or similar backend languages/frameworks
• Hands-on experience designing, building, and scaling distributed systems that handle real-world traffic at scale
• Proficient with AI-assisted development tools (Claude, Codex, Copilot, etc.) and a believer in using them to multiply team output
• A T-shaped engineer / generalist mindset with deep expertise in at least one domain (e.g., API design, data pipelines, event-driven architectures, infrastructure)
• A proactive ownership mentality, you don't wait for permission to improve things; you identify problems, propose solutions, and execute
• Comfortable navigating ambiguity, handling conflict constructively, and building consensus across teams with competing priorities
• Familiarity with the technologies, tradeoffs, and design patterns emerging in modern web services and cloud-native architectures
• Bachelor's degree in Computer Science or equivalent practical experience

Nice to Have

• Frontend experience (React, TypeScript, iOS, Android or similar), we value engineers who can work across the stack when needed
• Familiarity with ecommerce applications

Role Overview

We’re looking for a Senior Software Engineer - Backend, to solve complex problems gracefully, grow scalable systems, and help to shape our technical vision. As a Senior Software Engineer, you’ll take an active role in breaking down projects into tasks, as well as the implementation methods used. We are solving a wide range of technical challenges as we power a leading fashion marketplace.

This is an opportunity to join a team of smart, thoughtful engineers with a clean, robust tech stack. We are organized into cross-functional squads, where you’ll get to use some skills you already know, learn new ones, and help take the team to the next level. We are community driven, and supporting our sellers is critical as our marketplace continues to grow and thrive.

In this role, you will:

• Work closely with product managers, designers, and other engineers to build features and improvements
• Extend our API and back-end systems
• Interface directly with our PostgreSQL cluster
• Add to and improve our testing environment
• Solve challenges in architecture, security, anti-fraud, performance, scalability, personalization, optimization, payments and more
• Be a helpful and supportive presence on the team, contributing to code reviews and other team processes
• Keep up with the latest development trends in server-side technologies
• Mentor and sponsor other engineers in your areas of expertise
• Coordinate and communicate seamlessly across other technical and product teams
• Be part of an on-call rotation
• Use LLMs, when appropriate, to improve the product and development workflows 

We are looking for:

• 4+ years of engineering experience.
• Experience building, maintaining, or architecting one or more production web applications.
• Knowledge of and opinions on API design, database design, naming, and simplifying complex services.
• Understanding of operational concerns such as deployment, migrations, configuration, and provisioning.
• Professional experience with the technologies with which we work (Ruby on Rails with Sorbet, PostgreSQL, AWS).

Role Overview

Grailed is looking for a Senior Machine Learning Engineer to drive personalization, recommendation, and product marketplace improvement efforts. This is a high-impact role for an experienced builder who thrives in a lean, high-talent environment. You will join a high-velocity team with significant autonomy in taking products from zero to one.

The ideal candidate is able to think like a Grailed user as well as a business owner – understanding how data impacts a fashion-forward user experience and also how it is generated and leveraged – while bringing a strong technical background to the role. Specifically, the role requires an understanding of dimension reduction techniques, predictive modeling (statistical or ML), and other advanced analytic methods for applications such as personalization, inventory valuation and search optimization.

This key role will operate at the intersection of Data, Product, Engineering, and Marketing, working crossfunctionally to develop compelling data products to support buyers’ progression through the purchase cycle.

This role will work with our data in Snowflake, develop models in Python, collaborate with ML engineers to structure data for consumption, and coordinate with Product and business unit leaders to align data product development with business objectives. 

In this role, you will:

• Act as a technical lead within the data team to advance our recommendation & search algorithms. You will focus on improving the relevance & quality of inventory impressions that are served to prospective buyers.
• Develop proprietary AI/ML solutions that reflect our unique marketplace dynamics (peer-to-peer exchange of second hand clothing & accessories that are represented as “one-of-one” listings in the market.)
• Form a high-level perspective on objectives across departments in the organization and how advanced data methods might solve complex business problems.
• Be able to autonomously and proactively identify business problems that could benefit from data solutions, whether it be application of existing models or the need for the development of new model(s), and take ideas through all phases, from proposal to alignment to execution
• Establish best practices for training, development and maintenance of data models. This includes using A/B testing and communicating results to stakeholders.
• Own the deployment of trained models into production in collaboration with Data or ML Engineers. You will be responsible for ensuring reliable, observable deployment into Snowflake using DBT, integrating with existing data pipelines and platform infrastructure, and maintaining version control of code and configurations via Git.
• Mine user data to identify opportunities for personalization improvements. This includes defining and tracking KPIs related to personalization effectiveness.
• Develop and maintain data models in Snowflake to support analytical and reporting needs, providing insights to business stakeholders across various departments.
• Use Python to create ML models and structure the resulting data into a consumable flow.
• Develop user-to-user mapping capabilities to enhance personalization.
• Utilize search technologies (i.e. Algolia, AWS OpenSearch) to enhance product discovery and personalization.
• Analyze message content to detect potentially fraudulent activities, such as identifying keywords or phrases associated with scams, requests for off-platform transactions, or attempts to phish for personal information.
• Collaborate with product managers, engineers, designers, and business stakeholders to understand their data needs and provide data-driven solutions.

We are looking for: 

• Graduate degree in data science, analytics, mathematics, machine learning, computer science, or related field a plus
• Demonstrated track record of applying analytical skills in a product or business setting may substitute for formal advanced education.
• 8+ years of relevant work experience in a data or quantitative role, demonstrated success in a startup, high-growth or faced paced organization
• Experience in marketplace, e-commerce, or fashion/retail domains preferred
• Experience with web + App product environment preferred
• Experience with Marketing analytics a bonus
• Demonstrated success in nontechnical, crossfunctional partner communication
• Ability to tell a story with data, explaining complex concepts or results to audiences ranging from C-suite to IC levels
• History of mentoring or developing teammates
• Ongoing learning (e.g. relevant certifications; open-source contributions; personal projects; etc.) is a plus and shows initiative

Technical Competencies

• Specific tools are less a requirement in this role than an ability to communicate with stakeholders, understand complex, industry-specific problems, maintain a high, self-motivated velocity and bias for action, and have a desire to contribute to problems big and small. That being said, we expect candidates to have Expert level grasps on SQL, Python and complex mathematical concepts related to recommendation and personalization engines, and bring an ability to effectively use coding agents to build and iterate. Our Data stack additionally contains Looker, Amplitude, DBT, Fivetran and AWS Lambdas, experience in these areas is a plus. 

Math and Statistics

• Proven expertise in advanced statistical modeling, causal inference, experiment/test design, and working knowledge of machine learning algorithms.

Data Science and Engineering 

• Expert level proficiency in Python for data manipulation, statistical analysis, and model development
• Practical experience with vector databases and embeddings for tasks like user-to-user or user-to-item mapping, semantic search, or item similarity preferred
• Experience with Snowflake for SQL and data-warehousing preferred
• Experience with DBT for building modular, version-controlled data transformations preferred
• Experience with Git for collaborative code development and review preferred

Machine Learning and AI

• Experience in designing, developing, deploying and optimizing Personalization and Recommendation products at scale
• Experience building models to assess item/listing quality (as defined by likelihood of sales), classify listings, and use NLP on unstructured text
• Experience modeling time-series forecasts for market trends, seasonality, demand prediction and other relevant KPIs

Role Overview

The Senior IT Systems Engineer designs, implements, and supports secure, scalable identity, endpoint, and SaaS administration platforms across the organization. This role owns complex technical initiatives end to end, partners cross-functionally to improve reliability and security, and mentors junior engineers through strong standards, automation, and operational excellence.

In this role, you will:

Identity & Access Management

• Own and evolve the organization’s identity and access management (IAM) posture using Okta, including SSO integrations (SAML/OIDC), MFA policy design, user lifecycle management, group and rules strategy, and audit-ready access controls.
• Design and maintain least-privilege access models aligned with security and compliance requirements.

Endpoint Management

• Administer and scale Apple device management using Jamf, including enrollment workflows, configuration profiles, application deployment strategies, security baselines, compliance reporting, and incident response support.
• Ensure endpoint posture meets organizational security and operational standards.

SaaS & Collaboration Platforms

• Serve as the technical owner for core productivity and collaboration platforms such as Google Workspace and Slack.
• Deliver secure configurations, reliable user lifecycle processes, role-based administration, and overall operational stability.

Automation & Engineering Practices

• Build and maintain automation to eliminate manual work across IT systems (e.g., provisioning, offboarding, access reviews, device posture reporting), primarily using Bash and/or Python.
• Apply strong software engineering practices, including testing, version control, documentation, and code review.
• Develop and maintain integrations and workflows using APIs (Okta, Jamf, Google Workspace, Slack, and related SaaS tools), including secure token management, robust error handling, and observability.

Infrastructure 

• Administrate AWS Infrastructure, including but not limited to Lambda, DynamoDB, Route53 
• Implement Infrastructure as Code (IaC) practices where applicable (e.g., Terraform) to standardize configurations, reduce drift, and improve repeatability.
• Contribute to CI/CD pipelines (GitHub Actions or equivalent) to enable safe, auditable, and repeatable system changes.

Operations & Reliability

• Lead technical troubleshooting for complex, cross-system issues spanning identity, endpoint management, and SaaS platforms.
• Perform root cause analysis and drive permanent remediation.
• Define, document, and enforce engineering standards for IT systems operations, including change management, runbooks, access controls, naming conventions, and configuration baselines.

Cross-Functional Collaboration & Leadership

• Partner closely with Security, HR, and Engineering to deliver secure-by-default onboarding, offboarding, role changes, and privileged access workflows with clear ownership and SLAs.
• Mentor and upskill less experienced team members through code reviews, pairing, technical guidance, and knowledge sharing, raising the overall quality and consistency of IT engineering deliverables.

We are looking for: 

Required

• 5+ years of experience in IT systems engineering, identity engineering, endpoint management, or adjacent SaaS/IT infrastructure roles (typically Professional Grade 4+ equivalent, depending on scope).
• Hands-on experience administering Okta in a production environment, including SSO/MFA, policies, group and rules strategy, and application integrations.
• Hands-on experience administering Jamf in a production macOS fleet, including packaging and deployment, configuration profiles, compliance and security baselines, and reporting.
• Strong scripting ability in Bash and/or Python for automation and API-based workflows.
• Experience using Git-based version control systems (GitHub preferred).

Preferred

• Experience with Infrastructure as Code tools (e.g., Terraform) and CI/CD practices.
• Hands on experience administrating Windows Server, Active Directory and Azure
• Familiarity with Go.
• Relevant certifications or formal training (e.g., Okta, Jamf, Google Workspace, IAM or security coursework).

About the Team

Our People Team is key to the growth of GOAT Group as the company continues to expand globally. Through our innovative programs and data-driven strategies, the company is committed to building a culture that is inclusive, cooperative and motivating. As a member of this team, you will play an indispensable part in our company's future by matching talent to the right roles as well as cultivating an environment in which all of our employees – across our warehouses, Flight Club retail stores and corporate teams – are able to thrive.

Role Overview

We are looking for a hands-on Senior Manager, HR Systems to join our People team. This is a highly technical role, deeply embedded in our systems and day-to-day workflows.

Owning the HR technology stack end-to-end; the role will ensure the reliability, performance, and scalability of our systems across the employee lifecycle. This includes overseeing support operations, managing vendor relationships, troubleshooting system and integration issues, and maintaining the overall health of our People systems.

This role will operate as a builder and operator, directly handling complex and high-impact work while overseeing a People Technology Specialist. A key part of this role will be establishing clear prioritization, improving execution rigor, and building a more structured and scalable support model across the team.

Additionally, this role will lead automation and process improvement efforts, identifying manual pain points and partnering closely with the Director of People Operations to design and implement scalable solutions. The role will use visibility into day-to-day operations to continuously surface opportunities to streamline workflows, improve data integrity, and reduce manual effort across the People function.

In this role, you will:

• Own and manage the HR tech support function, including intake, triage, resolution, and escalation of tickets
• Build AI-assisted workflows where applicable — flagging, classification, notifications, and intelligent routing across People processes
• Own technical documentation, integration specs, data flow diagrams, etc.
• Serve as a technical resource and escalation point for HR tech issues across the People team
• Support ad hoc data pulls, system troubleshooting, and cross-functional HR tech requests
• Use operational exposure as a continuous feedback loop to surface new automation opportunities
• Translate complex technical constraints and tradeoffs into clear recommendations for the Director and People team leadership
• Collaborate with COEs e.g. People Operations, IT, Finance, Payroll, and Talent Acquisition to ensure system triggers, data handoffs, and approval workflows are reliable and production-grade
• Stay current on the HR technology landscape — new ADP capabilities, iPaaS evolution, and AI tooling relevant to the People function

We are looking for: 

• 8+ years in a technical systems, integration engineering, IT, or HRIS role — with meaningful experience in environments where HR data flows are central
• Hands-on experience building and maintaining API integrations, event-driven workflows, or data pipelines 
• Deep working knowledge of ADP (Lyric strongly preferred; Workforce Now considered) — including configuration, reporting, workflows, and data integration
• Experience with identity and directory systems (OKTA or similar) in the context of HR-IT data flows
• Strong data fluency — able to design schemas, trace data lineage, validate integrity across systems, and build reliable audit processes
• Experience handling sensitive HR data, PII, and related security and compliance requirements
• Ability to work autonomously on complex, multi-system problems and communicate findings clearly to non-technical stakeholders

Preferred:

• Experience with bidirectional data syncs with HRIS
• Familiarity with Snowflake or cloud data warehouse environments
• Experience with leave management and workforce management systems and payroll data flows
• Background deploying AI-assisted workflows — classification, flagging, intelligent notifications, or LLM-based process automation
• Exposure to compliance-sensitive automations
• Experience in a high-growth or scaling company environment