About the Positions 

We’re seeking Project Controls Analysts (Cost and Data Visualization) at multiple levels to support large, heavy-civil infrastructure programs, including highways, roads, bridges, transit (rail and bus), aviation (international airports), and water projects delivered through both traditional and alternative methods. 

These roles sit at the intersection of project controls and modern data analytics. Depending on level and experience, responsibilities may span cost control, financial tracking, and schedule awareness, combined with advanced data structuring and visualization capabilities. Across all levels, the focus is not just on building dashboards, but on working within active programs to help teams understand what the data is actually telling them and where performance is trending. 

Team members support cost and financial oversight across publicly funded programs (USDOT, FAA, FTA, and state DOTs), contributing across the full reporting lifecycle. This may include partnering with stakeholders to define reporting requirements, integrating and validating data from multiple systems, structuring datasets, and developing dashboards and reports that support project execution, program controls, and executive decision-making. 

At Luster, these are not passive reporting roles. Depending on level, individuals play a key part in shaping how project data is organized, governed, and communicated across complex, multi-stakeholder environments. The expectation across the team is an understanding of both the data and the project context behind it, with the ability to bridge the gap between technical outputs and real-world delivery. 

This posting is for future roles and not for a specific opportunity that is available right now. We accept applications and conduct interviews in advance of upcoming hiring needs. When a candidate is selected, their profile is activated in our talent pool for this specialty area. We notify our talent pool candidates first whenever we have a project need. 

Responsibilities may include, but are not limited to, the following:  

Project Controls and Program Analytics 

• Develop dashboards and reports that support cost, schedule, forecast, progress, change, and performance analysis. 
• Create reporting solutions for project teams, program leadership, and executive stakeholders. 
• Support analytics related to: budget versus actuals; forecast trends; cost and schedule variance; cash flow and commitments; change management; portfolio and program performance; risk and exposure indicators. 
• Help translate project controls data into practical, decision-ready outputs. 

Cost Control and Financial Oversight 

• Monitor actual costs vs. budget and analyze variances across multiple funding sources. 
• Implement cost control procedures in compliance with federal and state regulations. 
• Prepare cost reports and documentation required by agencies such as the Federal Transit Administration (FTA), Federal Aviation Administration (FAA), and State DOTs. 
• Collaborate with scheduling, procurement, and engineering teams to align cost data with project milestones. 
• Support earned value management (EVM) and integrate cost and schedule performance metrics. 
• Identify cost-related risks and support mitigation planning. 
• Evaluate cost impacts of change orders and scope modifications. 
• Interface with government clients, contractors, and internal teams to ensure transparency and accountability. 
• Participate in audits, reviews, and funding agency meetings. 
• Support reporting deliverables across multiple funding and delivery structures, including traditional and alternative methods. 

Data Integration and Management 

• Extract, organize, and validate data from client and internal systems, including PMIS platforms, ERP systems, scheduling systems, and operational/financial source systems. 
• Support the design and maintenance of data pipelines using SQL, APIs, and Python-based workflows. 
• Prepare data for reporting through cleansing, transformation, and modeling. 
• Contribute to scalable data structures that support repeatable reporting and analytics delivery. 

Dashboard and Report Development 

• Design and build user-friendly dashboards, reports, and visual analytics primarily in Power BI. 
• Develop views tailored to different audiences, including executive, management, and operational users. 
• Use wireframes and prototypes to align reporting design with stakeholder needs. 
• Incorporate best practices in layout, usability, filtering, navigation, and documentation. 
• Support paginated and presentation-ready reporting where required. 

Stakeholder Collaboration 

• Gather and document business requirements from internal teams and external clients. 
• Facilitate conversations that clarify reporting goals, success criteria, and data availability. 
• Present reporting concepts, draft dashboards, and iterative updates for stakeholder review. 
• Provide clear communication to both technical and non-technical audiences. 
• Support user adoption through training, reference materials, and report documentation. 

Continuous Improvement and Innovation 

• Identify opportunities to improve reporting quality, efficiency, and business value. 
• Recommend more effective ways to structure, visualize, and interpret data. 
• Support innovative uses of modern analytics, automation, and AI-enabled workflows where appropriate. 
• Contribute to Luster’s evolving internal and client-facing analytics capabilities. 

Attributes 

• Excellent written and verbal communication and interpersonal skills. 
• Ability to work effectively with cross-functional teams and communicate with a range of stakeholder groups. 
• Meticulous analyst who spots anomalies quickly and communicates them clearly. 
• Comfortable navigating large datasets, cost-control platforms, and Excel pivot tables. 
• Strong attention to detail and commitment to data quality. 
• Excellent multitasking and organizational skills. 
• Collaborative mindset that fosters teamwork, trust, and positive relationships. 
• Natural curiosity, problem-solving abilities, and a passion for continuous improvement. 

Minimum Qualifications 

• Bachelor’s degree in engineering, construction management, finance, business, data analytics, information systems, statistics, computer science, or a related field, or equivalent combination of education and experience.   
• 5+ years of relevant experience in project controls, cost engineering, business intelligence, data analytics, and/or program or portfolio reporting. 
• Familiarity with project controls concepts such as cost, schedule, forecasting, and performance reporting.  
• Experience developing dashboards and reports (preferably using Power BI). 
• Experience using Python for data transformation, automation, scripting, or API integration. 
• Proficiency with Microsoft Power BI, Oracle Cloud Analytics, or other dashboard KPI reporting software.  
• Proficiency with Microsoft Office Suite/Office 365 (e.g., Outlook, Teams, Word, PowerPoint, etc.). 

Preferred Qualifications 

• Master’s degree in engineering, construction management, finance, business, data analytics, information systems, statistics, or computer science.
  
• Experience supporting infrastructure, transportation, aviation, construction, engineering, or capital program environments. 
• Familiarity with tools and platforms such as Primavera P6, Oracle Primavera Cloud, Unifier, Kahua, Procore, e-Builder, Microsoft Fabric, and BI Publisher. 
• Experience integrating data from ERP, PMIS, and scheduling platforms. 
• Knowledge of dimensional modeling, semantic models, data warehouses, or lakehouse concepts. 
• Experience building executive-level reporting for portfolio or program leadership. 
• Familiarity with risk analytics, forecasting analytics, or statistical reporting methods. 
• Experience working within client-controlled or regulated technology environments. 
• Willingness to learn and grow in a fast-paced, innovative team environment, including developing proficiency in financial modeling and reporting and using cost/schedule management tools (e.g., Primavera P6, Deltek, and SAP). 

Compensation Details 

Expected Salary: $89k-$140k/year ($43-$67/hour). Luster provides the salary range that the company in good faith believes it might offer for this position based on the successful candidate’s level of experience, knowledge, skills, abilities, education, certifications, licenses, geographic location, etc. Luster reserves the right to ultimately pay more or less than the posted range depending on circumstances not related to any status protected by local, state, and/or federal law.

Just LOOK at the Benefits We Offer! 

• Unlimited flexible time off  
• Paid holidays  
• Paid parental leave  
• Health, dental, and vision insurance  
• Flexible spending accounts (healthcare and dependent or elder care)  
• Long-term disability insurance  
• Short-term disability insurance  
• Life insurance and accidental death and dismemberment 
• 401(k) plan with guaranteed employer contribution  
• Formal career planning and development program  
• $2,500 annually toward professional development  
• Wellness program with monthly wellness stipend  
• Company cell phone or cell phone plan reimbursement  
• Free personalized meal planning and nutrition support with a registered dietitian  
• Free personal financial planning services  
• Employee assistance program  
• Employee discounts  
• Employee referral bonus 

Specific plan details and coverage for each benefit noted above will be provided upon offer. 

As a Staff Data Scientist, you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.

What You’ll Be Doing:

• Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments.
• Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities.
• Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact.
• Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation’s strategic goals.
• Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
• Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations.
• Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility
• Represent the team’s insights and innovations across the broader data science and product communities within PlayStation.
• Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities.

What We’re Looking For:

• Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
• Strong familiarity with the gaming industry and contemporary gaming experiences.
• 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity.
• Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
• Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
• Expertise in causal inference techniques and designing both randomized and quasi-experiments.
• Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
• Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
• Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
• A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 

 Who We Are

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K,  renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role.  If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

 What You Will Do

 2K Games is building a world-class data ecosystem to power real-time analytics, machine learning, and game intelligence across all our franchises. We are looking for a Senior Product Manager, Data Science to drive the vision, strategy, and execution of our data science strategies and products, partnering with game studios and analytics teams to enable enhanced player experiences.

This role requires a blend of strategic development, product management expertise, and technical understanding of data science and machine learning (ML) methodologies. The ideal candidate will seamlessly integrate data-driven strategies with player-centric goals, ensuring AI and analytics improve game design, live operations, and business intelligence.

Strategic Vision & Product Leadership

• Develop and implement the product strategy for 2K’s central data science platform, partnering with Data Scientists across our gaming business units to drive predictive analytics, player personalization, and real-time decision-making;
• Collaborate with the Director of Product, 2K Data to align the data engineering roadmap with customer objectives and player-centric outcomes;
• Define and prioritize a high-impact data science roadmap to lead a team of central data scientists in driving a variety of use cases such as player retention modeling, dynamic content generation, and real-time fraud detection. 

Data Science Platform Development

• Lead the development of reusable and extensible machine learning models, feature engineering pipelines, and ML-driven insights using tools like Databricks, MLflow, and SageMaker;
• Ensure data science initiatives integrate seamlessly with the real-time data infrastructure, supporting streaming analytics, AI-powered LiveOps, and dynamic matchmaking systems;
• Establish and maintain self-service tools that enable game teams to experiment with and deploy AI models independently;
• Support the build and enhancement of the central ML feature store;
• Monitor and optimize model performance in production environments, using MLOps standard methodologies;
• Implement governance frameworks to ensure AI models adhere responsibly to data privacy, security, and compliance standards (e.g., CCPA, GDPR). 

Cross-Functional Collaboration

• Work closely with data scientists across game studios and business units to understand their data science needs and to provide data-driven solutions at the pace they need them;
• Act as a strategic liaison between data scientists and product teams, ensuring model outputs are actionable, reliable, and aligned with business goals;
• Promote a culture of experimentation and rapid iteration, supporting game studios with A/B testing frameworks, predictive analytics, and personalization engines.
• Find opportunities to enhance game design and player engagement through advanced analytics and machine learning.

 What You Need

• 7+ years of experience in product management with a focus on data science, analytics, or ML-driven products
• 5+ years of experience in gaming, technology, or entertainment industries;
• Strong understanding of data science methodologies, such as predictive modeling, natural language processing, and computer vision;
• Experience with data science tools and platforms, such as Python, SQL, Databricks,TensorFlow, and R;
• Customer-focused mentality with focus on the Why and What without getting lost in the What and the How;
• Consistent track record of delivering data science products and features from ideation to production, with measurable business impact;
• Ability to translate complex data insights into clear product strategies and business opportunities;
• Knowledge of real-time analytics platforms, streaming data processing, and feature store management;
• Familiarity with data governance frameworks, model risk management, and MLOps standard processes preferred;
• Advanced degree or equivalent experience in Data Science, Machine Learning, Computer Science, or a related field preferred.

The pay range for this position in California at the start of employment is expected to be between $109,800 and $162,480 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts. 

#LI-Onsite

We are seeking a Principal Analytic Engineer to lead how data is sourced, integrated, and structured within our data warehouse, ensuring it is consistent, trusted, and usable for decision-making across PMC.

This role sits at the intersection of data engineering and business operations, with responsibility for shaping how data from a wide range of systems—CMS platforms, web analytics tools, ad tech systems, and internal applications—is collected, standardized, and made available for use.

As a senior individual contributor, you will operate as both architect and hands-on builder: designing data models, guiding data ingestion and transformation strategies, and working closely with stakeholders to ensure data aligns with real business needs across editorial, audience, product, and advertising teams.

You will have a chance to work on some of the best brands in media including You will have the chance to work on some of the largest, trusted brands in entertainment and fashion news, including Variety, Billboard, Deadline, WWD, and Rolling Stone.

Key Responsibilities

• Define how data is sourced and integrated from key systems, including CMS platforms, web analytics tools, ad tech platforms, and business applications
• Evaluate and establish appropriate sources of truth across competing systems, ensuring data is accurate and fit for use
• Design and maintain scalable data models that transform raw data into structured, business-ready datasets
• Lead development of transformation workflows (e.g., dbt) within Snowflake and BigQuery environments, contributing hands-on to complex modeling efforts
• Establish standards for how data is organized, documented, and used across the data warehouse
• Implement data quality checks, validation frameworks, and monitoring to ensure reliability of critical datasets
• Partner with Data Engineering on ingestion patterns, pipeline performance, and upstream data quality
• Structure data to support consistent interpretation across Editorial, Product, Audience, Ad Sales, and Finance teams
• Support BI tools (e.g., Looker) with well-defined, governed datasets and reduce fragmentation in reporting
• Translate business needs into scalable data solutions, working closely with cross-functional stakeholders
• Act as a central authority on data meaning, resolving questions around definitions, discrepancies, and interpretation
• Establish best practices for modeling, transformation, and documentation while mentoring analysts and engineers
• As part of a team, support break/fix scenarios when necessary and serve in an on-call rotation

Qualifications

You do not need to check every box for the experience below. If you are passionate about this opportunity, we would love to hear from you.

• 8+ years of experience in data engineering, analytics engineering, or related roles
• Expert-level SQL and strong experience designing scalable data models for analytics and reporting use cases
• Proven experience working with modern data warehouses (e.g., Snowflake, BigQuery) and cloud environments (AWS and/or GCP)
• Hands-on experience building transformation workflows (e.g., dbt or similar tools)
• Experience working with complex, multi-source data environments (e.g., combining web analytics, ad tech, and business systems)
• Familiarity with Google Analytics 4 and Parsely analytics platforms
• Experience working with advertising data (e.g., Google Ad Manager, programmatic ecosystems)
• Experience evaluating and reconciling conflicting data sources
• Experience implementing data quality, validation, and monitoring practices
• Experience supporting BI tools such as Looker

What Success Looks Like

• Clearly defined and trusted sources of truth for audience, content, and revenue data across all teams
• Elimination of recurring discrepancies between key systems (e.g., web analytics vs. ad platforms) through thoughtful data modeling and source selection, and ability to confidently answer the question “why are these two numbers different?”
• Increased business partner engagement in self-serve analytics platforms, with teams relying on shared, well-structured datasets instead of one-off analyses
• Broad adoption of standardized data models, minimizing fragmented reporting and duplicate logic
• Strong alignment across Editorial, Product, and Ad Sales on how performance is measured and interpreted
• Increased confidence in data, with stakeholders relying on outputs without needing to independently validate or reconcile them
• A unified, usable view of data that enables better decisions around content performance, audience engagement, and monetization by consolidating overlapping data models and taking ownership of term definitions across all data models to bring standardization and clarity to reporting semantics across the company
• This role succeeds through strong collaboration with other members of the Data team—sharing context, reviewing work, and co‑owning decisions—so that improvements to data models and metrics are durable beyond any single individual.

As PMC values in-person collaboration and team cohesion, employees work onsite 4 days a week and 1 day remotely with a focus on maintaining a vibrant and inclusive culture.

Typical wage range: $150k - $170k. Factors that could be used to determine your actual salary may include your specific skills, years of experience and comparison to current employees already in this role. If you have more or less experience than specified on this job posting, please apply and list your salary expectations.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors).

It’s all About You…

PMC's comprehensive benefits package is thoughtfully designed to support every aspect of your life, empowering you to thrive both personally and professionally. We offer PMC-Paid Healthcare with no employee paycheck contributions on medical, dental, and vision for you and your family. PMC also offers Flexible Spending Accounts (Healthcare, Dependent Care & Commuter), an Employee Assistance Program, Life Insurance, Short- & Long-Term Disability, Paid Parental Leave, and a 401(k) Retirement Plan with an Employer match. Employees are also eligible to take advantage of company discounts and perks including Pet Insurance, Home & Auto Insurance, Mortgage discounts, and a variety of other savings on wellness, lifestyle, and financial essentials. As part of PMC's dedication to consistently meeting employees’ needs, we are currently launching a new Flexible Vacation Policy.

At PMC, we believe working in a highly collaborative, office-first environment fosters real-time communication, spontaneous idea sharing, and stronger interpersonal relationships that drive innovation and team cohesion. PMC prioritizes in-person collaboration and does not offer remote-only roles.

The Opportunity

Flexport is building the future of global fulfillment—and we’re looking for a Sr. Manager, Strategic Initiatives who wants to be at the center of that transformation. This is not a traditional management role. You will be the architect of tomorrow’s Flexport Fulfillment network: designing processes, building products, and creating the standards that will define how we operate at scale.

You’ll sit at the intersection of operations, product, and technology, working across all functions to identify gaps, design solutions, and bring them to life. We want someone who thrives in ambiguity, loves solving highly technical problems, and isn’t afraid to get hands-on—whether it’s building a new workflow in SQL, prototyping a tool, or architecting the next phase of our operating model.

If you want to make a lasting impact by building something from the ground up—and have the technical, operational, and strategic chops to do it—this is the role for you.

What You’ll Do

Architect the Future of Fulfillment

• Design, standardize, and codify the processes, products, and tools that will power Flexport’s next generation fulfillment network.
• Define operating models that can scale globally, balancing efficiency, cost, speed, and customer experience.

Build, Not Just Manage

• Own initiatives end-to-end: from diagnosing the problem, designing the solution, building prototypes, and driving implementation.
• Develop tooling, dashboards, and models directly—leveraging SQL, Python, BI platforms, and workflow automation.

Leverage Data for Strategic Planning

• Use data to uncover bottlenecks, quantify opportunities, and make recommendations that drive millions in cost savings and unlock new service capabilities.
• Build forecasting and scenario planning models to guide long-term network design and capacity planning.

Be a Cross-Functional Force Multiplier

• Partner with engineering, product, operations, finance, and commercial teams to align on priorities, build solutions, and scale them across the network.
• Translate operational pain points into product requirements and ensure adoption of new tools and processes.

Standardize the Network

• Establish and roll out SOPs, reporting cadences, and KPIs that become the backbone of Fulfillment execution.
• Drive governance and accountability around execution, ensuring every site runs on the same playbook.

Drive Strategic Initiatives at Scale

• Lead high-impact, white-space projects (automation, robotics, B2B/Retail compliance, international expansion) that redefine the limits of what Flexport Fulfillment can deliver.
• Develop and execute multi-year roadmaps in partnership with senior leadership.

You Should Have

• 7–10+ years of experience in fulfillment, logistics, supply chain, or operations strategy—ideally with direct exposure to high-volume networks.
• Extremely strong technical skillset: SQL (expert), Excel/Google Sheets (advanced), BI tools (Looker, Tableau, PowerBI), and preferably Python or R for modeling and automation.
• A proven record of designing and implementing scalable processes/products that delivered measurable business impact.
• Strong strategic thinking, with the ability to connect day-to-day execution to P&L drivers and long-term vision.
• Entrepreneurial mindset: thrives in ambiguity, comfortable building from scratch, and naturally biased toward action.
• Executive-level communication skills, with the ability to influence stakeholders across all levels of the organization.
• Bonus: Experience working with robotics, warehouse automation, or building new fulfillment products (B2B, Prep, Returns, Retail compliance).

Why This Role is Different

This role is one of the most independent, entrepreneurial, and impactful within Flexport Fulfillment. You won’t just manage a process—you’ll design and build the future of how we fulfill, scale, and serve customers. Your fingerprints will be on everything from the technology we use to the services we offer.

You’ll have the mandate to experiment, prototype, and standardize at scale—and the support of a leadership team that knows the success of this role will shape the future of Flexport Fulfillment.

Who we are 

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches.

About the Role

We are looking for a Sales Engineer who combines strong technical problem solving skills with customer/partner-facing relationship management and operational leadership.

In this role, you will manage complex technical relationships with POS providers and restaurant partners, support strategic integrations, and handle escalated operational requests for high-visibility customers.

You will act as the bridge between Product, Engineering, Operations, Customer Success, Sales, and external partners, ensuring technical excellence while improving internal processes and customer outcomes.

This is a highly autonomous, impact-driven role with the opportunity to influence technical decisions, shape engagement models, and continuously improve our production standards.

What you will do

Technical Account Management & Partner Ownership

• Own merchant technical discoveries (Sales Eng), technical deployment, and execution for both one-to-one and scaled partner engagements
• Support Enterprise and Strategic Sales Engineering in pre-sales technical conversations
• Ensure smooth integration and expansion of new technology solutions

Technical Operations & Escalation Management

• Handle complex escalated technical requests from internal teams and high-visibility customers
• Diagnose, troubleshoot, and resolve production issues with urgency and empathy
• Perform configuration changes, deployments, and product expansions
• Establish clear scope, documentation, and ETA expectations for technical engagements
• Develop workarounds and scalable solutions when standard paths do not exist

Product & Engineering Collaboration

• Partner closely with Product, Engineering, Operations, and Customer Success teams
• Collect and document partner feedback and prioritize feature requests
• Contribute to improving product reliability and market offering
• Influence technical decisions and propose innovative solutions

Process & Automation Improvement

• Identify gaps and inefficiencies in tools, workflows, and engagement models
• Develop automation tools and scripts to increase efficiency
• Improve internal production standards and documentation
• Manage and prioritize support tickets to ensure timely resolution

What we are looking for

Experience

• 3 to 5 years of customer-facing technical support, technical operations, or technical account management experience
• Experience managing technical projects or coordinating implementations
• Experience working with POS systems, restaurant technology, or delivery platforms is highly preferred
• Experience working in production systems in cloud environments such as GCP or AWS

Technical Skills

• Strong technical troubleshooting and root cause analysis skills
• Strong knowledge of SQL
• Familiar with at least one language, JS or Python preferred
• Familiarity with APIs and high-level software architecture concepts
• Experience with monitoring tools and production systems
• Experience with JIRA or similar project management tools is a plus

Core Competencies

• Strong ownership mentality and bias for action
• Ability to manage complex escalations calmly and effectively
• Detail-oriented and highly organized
• Ability to thrive in fast-moving and ambiguous environments
• Excellent cross-functional collaboration skills
• Proactive mindset focused on process improvement and operational excellence

Why join us 

• Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
• Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. 
• Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success.

What else you need to know 

This role is based in our Los Angeles office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. 

• Medical, dental, and vision insurance (multiple plans, incl. HSA options).
• Company-paid life and disability insurance (short- and long-term).
• Voluntary insurance: accident, critical illness, hospital indemnity.
• Optional supplemental life insurance for self, spouse, and children.
• Pet insurance discount.
• 401(k).
• Health Savings Account (HSA)
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Time Off policies:
  • Discretionary vacation days
  • 8 paid holidays per year
  • Paid sick time
  • Paid Bereavement leave
  • Paid Parental Leave

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

As a Strategic Finance Analyst within Publishing, you'll report to the Global Head of Publishing Finance. Your team works with senior go-to-market leadership on all topics related to budget and finance. Initially, you will leverage your financial modeling and operations skills to manage, maintain, and improve key operational models and processes. Over time, you will develop into a strategic thought partner for go-to-market leadership for one or more games or functions within Publishing. Your financial craft expertise, coupled with a strategic mindset and player-value orientation will help you increase the efficiency and performance of a world-class Publishing organization. 

Responsibilities:

Publishing Wide Financial Operations

• Learn, update, maintain, and build complex financial models to understand, plan, and report Publishing’s financial performance
• Manage, maintain, and improve budgetary tracking systems
• Partner with central Finance, Tax and Treasury, Accounting, and Purchasing functions to service the needs of the Publishing organization and Riot as a whole
• Work with cross-functional teams to improve financial and operational processes within the organization
• Assists and/ or drives ad hoc analysis and projects as directed by leadership
• Support the annual planning process, including budgeting and forecasting within Publishing and iteration on and development of existing planning models

Operational Strategy and Strategic Planning

• Aid in the development of financial frameworks that guide senior publishing and live operations leadership thinking through complex or ambiguous resource allocation problems
• Create communication materials such as models, presentations, and other forms of written documentation, tailored to the right audience level (e.g. management seniority, area of expertise)
• Build effective working relationships with stakeholders across Publishing functions

Required Qualifications:

• 2 to 5 years experience in investment banking, management consulting, corporate strategy, strategic finance, FP&A, or corporate finance role
• Exceptional financial modeling and analytical skills
• Experience managing analysis of complex or ambiguous problem spaces spanning multiple organizations
• Ability to work independently within defined areas and manage multiple priorities
• Knowledge of or willingness to deeply learn financial systems for planning and reporting such as OneStream, Hyperion, etc.
• Knowledge of or experience working in one or more of the following topics relevant to Publishing:
• Gaming or Entertainment business models
• FP&A and/ or Financial Operations
• International market strategy and operations

Desired Qualifications:

• Experience with Marketing organizations, from both strategic and financial perspectives
• Experience building resilient systems with the aid of Artificial Intelligence
• Knowledge of tools that can automate and simplify financial data analysis and visualization (examples include VBA, SQL, R, Alteryx, Tableau, Looker)

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As Software Engineers, we work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value.

As a Staff Software Engineer in Riot Data Foundations on the Data Experiences and Automation team, you will have the chance to affect how Riot collects and uses data to improve the experience for players and Rioters. You'll work closely with our product partner and technical lead to expand data consumption and reporting capabilities and build solutions to improve the development lifecycle for data engineers and insight analysts throughout the organization. You'll be helping as Riot enables advancements and fast iteration in Machine Learning and GenAI pipelines.You will bring your experience working with globally distributed systems and work with our team of software engineers to help build efficient solutions. You will report into the Engineering Manager of the team.

Responsibilities:

• Build and enhance systems that allow team members to more effectively engage with the tools in our data ecosystem. 
• Attend stand-ups and team rituals, and work with other software engineers to deliver on team goals
• Participate in code reviews with other members of the team
• Be part of an on-call rotation to support our live products
• Provide meaningful code reviews for other members of the team
• Work collaboratively with non technical customers to accomplish deliverables

Required Qualifications:

• Bachelor’s degree in Computer Science or comparable field
• Understanding of core data engineering concepts and data pipelines
• 7+ years experience in Python, and SQL
• 5+ years experience working with data warehousing 
• Experience in working in Agile and DevOps environment

Desired Qualifications:

• Experience with ML Operations and GenAI pipelines and infrastructure
• Experience with open source ETL frameworks such as Airflow, Luigi, or similar

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

Riot’s Data Engineers harness petabytes of data and state-of-the-art processing technologies to build products that elevate the player experience at massive scale. Turning this data into meaningful insights is a complex challenge, and our engineers meet it by staying deeply player-focused and collaborating across diverse teams to improve the lives of millions of players worldwide.

As a Principal Data Engineer supporting Riot’s Publishing Platform team, you will design, build, and maintain scalable data pipelines and models that power critical data products, including centralized player data models, and publishing activity data systems. These systems support understanding of player onboarding funnels, engagement patterns, support efficiency, and content effectiveness. You will collaborate with product managers, analysts, and engineers to ensure our data infrastructure is reliable, performant, and directly tied to delivering better player experiences.

Responsibilities:

• Design, build, and optimize scalable ETL pipelines for structured and semi-structured data supporting Insights use cases, growth metrics, and other publishing/marketing focused data sets.
• Design and implement data models using industry best practices that capture a complete ecosystem view of in- and out-of-game experiences, while ensuring accuracy, scalability, and long-term usability.
• Architect and implement robust, maintainable, and high-performance data solutions.
• Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for content, growth, and pubsports areas of coverage.
• Mentor data engineers across all levels, setting best practices and fostering technical growth.
• Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
• Evaluate and adopt new tools, frameworks, and methodologies to advance data engineering capabilities.
• Support cost optimization by ensuring scalable and efficient data solutions.
• Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA).
• Contribute to Riot’s Data Engineering discipline shaping infrastructure, craft standards, tooling, and organizational best practices

Required Qualifications:

• Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 8+ years experience in tech-focused Publishing or Marketing fields.
• 8+ years experience in data engineering or a related field.
• Strong Expertise in big-data technologies, including Python, GoLang, Spark, Scala, SQL, and tools like Airflow and dbt.
• Proficiency in cloud infrastructure (AWS or GCP) and Databricks.
• Expertise in designing efficient and scalable data models with large data sets across multiple teams and in collaboration with insights or data stakeholders.
• Demonstrated ability to work cross-functionally with engineering, analytics, and product teams.
• Proven experience mentoring and guiding other engineers.

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

Company Information
For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!

Job Summary

The Paid Media team is tasked with establishing company-wide digital media strategies, campaign management, and providing consultative support across multiple AEG divisions such as AEG Presents, Global Touring, Festivals, Goldenvoice, Bowery Presents, Sports, and Global Partnerships. The  Sr. Digital Marketing Analyst will be responsible for compiling reporting to evaluate effectiveness and identify optimization opportunities across digital channels, budgets, audiences, creative, while clearly communicating actionable recommendations to drive ticket sales, event awareness, customer acquisition, and brand initiatives based on findings. This role will also work closely with Data & Analytics, Product, and Data Engineering teams for cross-functional projects that supports solutions for paid media data aggregation, mastering, measurement, and visualization. The position will lead projects and work with appropriate teams to ensure tracking for measurement is in place to capture relevant marketing data, develop + maintain attribution models, and define benchmarks against key metrics such as CPA and Return on Ad Spend.

Essential Functions

• Provide analytical support to Paid Media and Marketing teams, compiling performance marketing reports across digital channels using internal BI tools, Google Analytics, native advertising platforms. Communicate results to stakeholders, working with media and strategy teams to demonstrate clear actionable insights for media plans, budget forecasting, targeting/audiences, and creative.
• Build and maintain comprehensive measurement plans to evaluate paid media performance, calculate benchmarks based on objectives, develop + maintain attribution models to identify trends, testing opportunities, and insights by channel, audience, festival/tour/regional show, and business unit.
• Partner with Data, Product, Engineering teams to manage data pipelines + ingestion for channel metrics, define data collection requirements and enforce optimal taxonomy for reporting implementations, continual data hygiene + integrity across ad buying and internal platforms.
• Collaborate with media, marketing, and data teams to inform audience and targeting strategies. Develop tests to evaluate new campaign strategies, ad products, optimization tactics, and targeting features.
• Manage and lead paid media projects involving data aggregation and measurement tools such as Datorama, Google Analytics / GA4, Tag Manager, DOMO, BigQuery, LiveRamp, server-server integrations with media partners. Ensure appropriate site tracking is in place to capture relevant data points to measure marketing effectiveness.
• Work closely with data team to develop and maintain reporting dashboards for internal and external use, while providing support for ad hot reporting requests.

Required Qualifications

• BA/BS Degree (4-year) Marketing, Mathematics, Economics, Business, or relevant coursework
• 4-6 years experience in analytics or similar role, whether on client side, publisher, or agency side; preferably for e-commerce initiatives
• Strong ability to compile reporting and evaluate performance of digital marketing campaigns across multiple channels and touchpoints based on defined objectives.
• Highly proficient in Google Analytics / GA4, sit tagging technology such as Google Tag Manager, and server to server measurement solutions.
• Knowledge of traditional + digital media metrics, attribution models, media mix modeling (MMM)
• Familiar with reporting, visualization, and analytics tools such as Datorama, DOMO, Google Data Studio.
• Deep understanding of media landscape, including ad tech + martech, and programmatic buying tools (audience management, DSP/SSP, social buying platforms, bid management, ad serving, web analytics)
• Understanding of privacy implications in digital space and future-proofing marketing measurement in a cookie-less environments, with experience tracking customer journeys through multiple media touchpoints.
• Experience developing, designing, and measuring A/B tests.
• Clearly communicates recommendations and insights drawn from marketing reports, excellent data visualization and storytelling skills.
• Effective and organized team player with proven ability to manage multiple cross-functional projects simultaneously
• Experience pulling large and complex data sets using SQL or similar language

Payscale: $82,158.00 -$125,000.00 Annually 

Bonus: This position is not eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

Employer does not offer work visa sponsorship for this position.

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value where we support the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

Accordion Intelligence Lab

The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.

The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.

About the Role

We're looking for a Data Specialist to join one of Accordion's AI-augmented delivery pods. These pods are purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.

In this role, you are the person who makes data work in practice. You move fluidly between messy source systems and production-ready pipelines, and you do it fast. You'll work directly alongside AI engineers and product managers to scope data requirements, diagnose quality issues, and build the data foundations that AI systems depend on. Client-facing moments come with the territory. You'll need to ask sharp questions, explain what you're seeing in plain language, and earn trust quickly.

This is not a role for someone who needs clean handoffs and stable requirements. The data is complicated, the timelines are short, and the problems change. If that sounds like the environment where you do your best work, this is the role.

What You’ll Do

• Build and maintain the data pipelines, models, and integrations that AI systems depend on, from raw source data to production-ready outputs
• Scope, design, and write custom ML models tailored to client problems, from feature engineering through evaluation and deployment
• Explore unfamiliar datasets with speed and rigor: identify structure, surface anomalies, and form a clear point of view on what the data can and can't support
• Diagnose data quality issues quickly, communicate their impact clearly, and drive resolution without waiting to be asked
• Work directly alongside AI engineers and product managers to translate ambiguous client problems into reliable, well-documented data products
• Run client working sessions on data (source system walkthroughs, model findings, quality assessments) and own the room when you do
• Tell the data story to non-technical audiences: in a chart, in a slide, in a meeting with a CFO who doesn't have time for jargon
• Navigate enterprise data environments fluently (ERP systems, BI platforms, financial data infrastructure) and get things done inside them
• Use AI tools to move faster across the full scope of your work: exploration, modeling, documentation, and client communication
• Travel to client site as needed

Success in the First 6 Months

• Own end-to-end data delivery on multiple AI engagements, from initial source system assessment through production-ready pipelines
• Establish a reputation within your pod for being the person who finds the data problem before it becomes the team's problem
• Run direct client working sessions on data (scope, quality, or access) and leave the client confident in your read of the situation
• Demonstrate faster, higher-quality output because of how you use AI tools, not just that you use them

 What You’ll Bring

• Deep, practical data skills across the full stack: SQL, Python, machine learning, data modeling, pipeline development, and hands-on experience with messy, real-world source systems
• Strong instincts for data quality: You find the problem, quantify the impact, and communicate what it means before anyone has to ask
• Experience working in fast-moving, sprint-based environments where requirements shift and you still ship
• Comfort working directly with clients: Asking the right questions, translating technical findings into plain language, and building credibility quickly
• Background in finance or PE-adjacent environments: ERP systems, FP&A data, financial close processes, or portfolio company data infrastructure
• Fluent with AI and ML workflows: Enough to understand what the engineers need from the data layer, why it matters, and the ability to teach what you know
• AI tools woven into how you work daily, with demonstrably faster output to show for it
• Strong written communication: you can document a model, write a findings summary, produce compelling stories from messy data, and draft a client-facing issue log clearly and quickly

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment (not because they cut corners). They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-BS1

About the Company

General Matter is enriching uranium in America.

Our goal is to design, build, and operate the world’s lowest-cost enrichment services in the United States.  

Our mission is to restore America’s ability to produce nuclear fuel—fuel that will power AI, advanced manufacturing, critical industries, and the next generation of nuclear reactors. 

Ultimately, our work will help power national ambitions and enable a high-energy society. 

We were incubated by Founders Fund, like Anduril and Palantir before us, and are backed by top-tier investors. Our lean, world-class team of engineers and operators is applying a first-principles approach to solving the problem of nuclear fuel production.  

We are a mission-driven company with a culture of urgency, accountability, and transparency. 

Help us build a high-energy society by making the cleanest, safest form of baseload energy the most affordable. 

Controller

As General Matter’s Controller, you will play a pivotal role in building and scaling the company’s accounting function. You will lead all core accounting operations, design and maintain rigorous accounting systems and controls, and ensure readiness for audits in a highly regulated environment. This role requires deep expertise in GAAP and Cost Accounting Standards (CAS), along with hands-on experience operating within a CAS-covered organization. The ideal candidate brings a strong foundation in public accounting and thrives in building structure, driving compliance, and supporting a fast-growing, high-performing organization.

Responsibilities

• Lead all financial close and reporting activities, ensuring timely, accurate financial statements in compliance with US GAAP, CAS, and applicable regulations.
• Own the company’s CAS compliance framework, including interpretation and application of CAS, maintenance of Disclosure Statements, and design of compliant cost accumulation and allocation methodologies.
• Serve as primary liaison for external audits and reviews, maintaining audit-ready documentation and responding to financial, CAS, and regulatory inquiries.
• Design, document, and maintain accounting policies, procedures, and internal controls that support scale, transparency, and regulatory compliance.
• Oversee accounting systems and infrastructure, including ERP and integrated tools, driving process improvements that increase efficiency, accuracy, and control.
• Support pricing, cost proposals, and contract compliance by providing accurate, compliant cost data, indirect rates, and financial analysis.
• Hire and lead the accounting team while partnering cross-functionally, translating accounting and CAS requirements into clear guidance that supports operational and strategic decision-making.

Basic Qualifications

• Bachelor’s degree in Accounting, Finance, or related field.
• 8+ years of progressive accounting experience, including public accounting experience (e.g., Big 4 or mid-tier/regional firm).
• Demonstrated knowledge of Cost Accounting Standards (CAS) and cost accounting practices.
• Strong understanding of US GAAP and internal control frameworks.
• Experience supporting external audits and preparing detailed audit documentation.
• Hands-on experience with ERP/accounting systems and related tools.
• Advanced Excel skills and strong overall systems aptitude.

Preferred Skills and Experience

• Bachelor’s degree in business, finance, economics, or engineering.
• Advanced skills in Microsoft Excel, applied business statistics, and general modeling experience of complex non-linear systems.
• Experience in a manufacturing or technology environment.
• Familiarity with reporting, visualization, intelligence, and analysis tools (SQL, Power BI, Tableau, etc.).
• Strong presentation skills with the ability to regularly interface with executive management.
• Experience with presenting analytical results in both verbal and written form across a multi-disciplinary organization.
• Ability to frame unstructured and complex analytical problems for a broad audience.

Additional Requirements

• Willing to work extended hours and weekends as needed
• This position is based in Los Angeles, CA and requires being onsite full-time – hybrid and remote work will not be considered.

Equal Opportunity Employer

General Matter is an Equal Opportunity Employer; employment with General Matter is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Compensation and Benefits

The base salary range for this role is $160,000–$230,000 annually. 

Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. Please note that the stated salary range is an estimate and may be adjusted based on market conditions, business needs, or other factors. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options, and access to medical, vision & dental coverage as well as access to a 401(k) retirement plan.

About the Company

General Matter is enriching uranium in America.

Our goal is to design, build, and operate the world’s lowest-cost enrichment services in the United States.  

Our mission is to restore America’s ability to produce nuclear fuel—fuel that will power AI, advanced manufacturing, critical industries, and the next generation of nuclear reactors. 

Ultimately, our work will help power national ambitions and enable a high-energy society. 

We were incubated by Founders Fund, like Anduril and Palantir before us, and are backed by top-tier investors. Our lean, world-class team of engineers and operators is applying a first-principles approach to solving the problem of nuclear fuel production.  

We are a mission-driven company with a culture of urgency, accountability, and transparency. 

Help us build a high-energy society by making the cleanest, safest form of baseload energy the most affordable.

About This Role

The Financial Analyst will be instrumental in the development, tracking, forecasting, reporting, and accounting for all General Matter projects. This is a key financial planning and analysis (FP&A) role with executive-level visibility driving spending and contract profitability for all of our product lines. The successful candidate will interface with all aspects of the company, including production, engineering, sales, program management, accounting, and executive management.

Responsibilities

• Lead forecast of key performance indicators (KPIs), including spending and resource requirements for assigned business groups, such as headcount, capital, and operating expenses.
• Forecast future unit costs with cross-functional teams and track progress in achieving cost reduction targets.
• Conduct ad-hoc analyses as needed to support operational decision-making, from new idea generation through to the implementation phase.
• Perform a leading role on internal projects, working closely with peer organizations to understand key business issues and translate them into financial models and metrics.
• Prepare and update capital expenditure and inventory cash forecasts.
• Support product cost tracking and inventory analysis, including scrap, inventory obsolescence, and productivity efforts.
• Develop and enhance tools to track revenue performance and incurred project costs every month.
• Provide insight on revenue, spending variances, and department-level reporting to business partners.
• Analyze and interpret financial data for use in management reviews.

Basic Qualifications

• Bachelor’s degree.
• 2+ years of experience in an accounting, finance, or business role (internship experience qualifies).

Preferred Skills and Experience

• Bachelor’s degree in business, finance, economics, or engineering.
• Advanced skills in Microsoft Excel, applied business statistics, and general modeling experience of complex non-linear systems.
• Experience in a manufacturing or technology environment.
• Familiarity with reporting, visualization, intelligence, and analysis tools (SQL, Power BI, Tableau, etc.).
• Strong presentation skills with the ability to regularly interface with executive management.
• Experience with presenting analytical results in both verbal and written form across a multi-disciplinary organization.
• Ability to frame unstructured and complex analytical problems for a broad audience.

Additional Requirements

• Willing to work extended hours and weekends as needed.
• This position is based in Los Angeles, CA and requires being onsite full-time – hybrid and remote work will not be considered.

Equal Opportunity Employer

General Matter is an Equal Opportunity Employer; employment with General Matter is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Compensation and Benefits

The base salary range for this role is $70,000–$145,000 annually. 

Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. Please note that the stated salary range is an estimate and may be adjusted based on market conditions, business needs, or other factors. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options, and access to medical, vision & dental coverage as well as access to a 401(k) retirement plan.

About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X,  and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About the Role

At Twitch, Financial Planning & Analysis (FP&A) partners with key stakeholders across the business to guide financial decisions and deliver actionable insights that shape the company’s growth. We are seeking a Senior Financial Analyst to join our team, reporting to the Director of Corp FP&A. In this role, you will help drive visibility into Twitch’s financial performance, support strategic initiatives, and develop data-driven recommendations that influence key business outcomes.

You will work closely with cross-functional partners including Marketing, Finance, Customer Trust, and Product teams to support forecasting, reporting, and financial modeling processes. You will design and enhance reporting, build new models, and streamline processes by leveraging automation and internal AI tools to enable more effective decision-making.

Your analysis and insights will directly inform decisions made by the CFO and executive leadership team. If you are passionate about uncovering insights that drive business growth and improve financial outcomes, this role is for you.

You can work from San Francisco, CA; Los Angeles, CA; Irvine, CA; or Seattle, WA.

You Will:

• Business Partnering: serve as a Financial partner to Marketing, Customer Trust, and UX Design organizations to support all forecasting and performance reporting activities
• Business Analysis: Maintain dashboards, track key metrics and provide actionable insights through effective analysis of financial and operational data
• Financial Modeling: Assist in building ad-hoc financial models for scenario planning and analysis
• Annual Planning: Support the annual planning and budgeting process, including data gathering, analysis, and coordination across departments
• Financial Reporting: Support the preparation of monthly, quarterly, and annual financial performance reports
• Executive Presentations: Create presentations that distill complex financial data into clear, concise charts and tables for senior leadership

You Have:

• Bachelor's degree in finance, accounting, business, economics, or a related analytical field
• 3+ years experience in finance, ideally with experience in FP&A at a public company
• Ability to recognize and implement process improvements and build scalable solutions
• Excellent analytical, problem-solving, and communication skills
• High standards of quality, accuracy, and fidelity
• Strong organizational skills and attention to detail
• Confidence working with all levels of management
• Intermediate SQL Experience

Bonus Points

• Experience in financial modeling and forecasting, with exposure to SaaS sales and marketing metrics (e.g., LTV, CAC)
• Experience with Corp FP&A functions, and know-how for leveraging Finance Applications (TM1, OFA, Hyperion, etc) in analysis 
• Experience in leading continuous improvement projects with measurable results

Perks

• Medical, Dental, Vision & Disability Insurance
• 401(k)
• Maternity & Parental Leave
• Flexible PTO
• Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Job ID: TW9123

What we do  

You’ll join a software engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Senior AI Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Develop Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You are proficient in Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You have a good foundational knowledge of or hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering using LLM APIs.
• You have experience productionizing applications and implementing CI/CD pipelines to ensure reliable, scalable deployments.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

Who we are 

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs  succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. 

What you’ll do

We are looking for a Head of Growth & Performance Marketing who operates at a world-class level — someone who can drive measurable revenue growth through disciplined experimentation, deep analytical insights, and mastery of paid acquisition channels.

• Own Otter’s global performance marketing strategy, spanning paid social, paid search, display, retargeting, and emerging channels.
  
  
• Manage and optimize $XM+ annual performance marketing budget with clear ROI and CAC efficiency targets.
  
  
• Build, scale, and continuously iterate on acquisition funnels across Meta Ads, Google Ads, and additional paid platforms.
  
  
• Develop a quantitative experimentation roadmap (A/B tests, landing page optimization, ad creative, audience segmentation).
  
  
• Partner with Product, Growth, Brand, and Sales to ensure full-funnel alignment and cross-functional acceleration.
  
  
• Own forecasting, spend pacing, weekly/monthly reporting, and insights for senior leadership.
  
  
• Drive attribution improvements using tools like GA4, Mixpanel, Looker, or Snowflake.
  
  
• Evaluate new channels, automation tools, and AI-powered optimization solutions to increase scale and lower CAC.
  
  
• Be a strategic thought partner to Otter’s leadership on overall growth strategy, channel mix, and long-term customer acquisition models.

What we’re looking for

• 10+ years in performance or growth marketing with direct ownership of a $M+ annual ad spend.
• Operator experience in a $50M+ ARR environment (SaaS, marketplace, high-growth startup, consumer goods or multi-market consumer tech).
• Deep expertise in Meta Ads and Google Ads, with a track record of scaling CAC-positive programs.
• Strong mathematical and analytical capability — comfortable in SQL, Excel, Looker, and funnel analytics.
• Proven ability to design full-funnel strategies and systematically improve every conversion point.
• Demonstrated ability to work in a high-growth, high-ambiguity environment with fast iteration cycles.
• Exceptional communication skills, with the ability to influence and present to senior stakeholders.

Why join us 

• Real impact: You will directly own one of the largest levers for Otter’s growth.
• Fast moving environment where great operators thrive.
• Opportunity to shape the future of restaurant technology.
• High ownership role with direct visibility to senior leadership across Otter and CSS.

What else you need to know

This role is based in our Los Angeles office location. We believe that people do their best work when they are together. As a company, we’re in the marketplace of ideas and innovation. When you’re constantly innovating, changing how an industry works, inventing new products and processes - and we are doing all these things - we believe we’re better as a team in-person. That’s why all of our teams (except for our field-based roles) are now working from one of our office locations 5 days a week. Looking forward to sharing more about a Career of Substance at Otter.

The base salary range for this role is $170,000 - $200,000 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

Benefits Summary (USA Full-Time Exempt Employees):

• Medical, dental, and vision insurance (multiple plans, incl. HSA options).
• Company-paid life and disability insurance (short- and long-term).
• Voluntary insurance: accident, critical illness, hospital indemnity.
• Optional supplemental life insurance for self, spouse, and children.
• Pet insurance discount.
• 401(k).
• Health Savings Account (HSA)
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Time Off policies:
• Discretionary vacation days
• 8 paid holidays per year
• Paid sick time
• Paid Bereavement leave
• Paid Parental Leave

Benefits are subject to change at the company's discretion.
CSS accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others? 

#LI-Onsite

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Enterprise Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Enablement Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Solutions Architect on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

To enable millions of users to explore, interact with, and participate in live events worldwide, StubHub is seeking a Senior Product Manager to manage the development of next-generation technologies and innovative, impactful features. You’ll lead our Seller Experience, Post-Purchase org, responsible for delivering on the strategy and execution of the end-to-end seller experience, after sellers list their tickets on our platform. You will build and launch products that drive trustworthy, low-friction buyer and seller experiences, and evolve our incentives and policies for sellers. This is an opportunity for a strong PM to lead and build AI/Automation capabilities that result in improved seller experiences, provide faster and clearer decisions and drive more efficient operations on a global scale. 

Location: Hybrid (3 days in office / 2 days remote) – New York, NY or Century City, CA 

About the Team:  

We provide a world class end-to-end post-purchase seller experience designed to deliver a consistently great buyer experience. We solve for the largest seller pain points with holistic product led solutions and build clear, fair policies and incentives that elevate seller performance. Our work balances accountability with enablement: we reduce friction for good sellers through better education and incentives while increasing the effectiveness of enforcement when standards aren’t met.  

What You’ll Do:  

• Own the strategy for the Seller Experience, Post-Purchase and translate it into a prioritized, measurable roadmap aligned to company goals.
• Reduce seller friction via proactive policy communications, in-product guidance, and self-serve payment and dispute workflows that resolve issues quickly and teach best practices.
• Design, automate, and evolve policy architecture from one-size-fits-all to targeted frameworks that vary by seller segment, geo, event type, and risk profile, enabling faster iteration and better outcomes.
• Refine and build our incentive mechanisms for sellers and subsequent innovations, including rules, punishments, and positive incentives. 
• Increase enforcement effectiveness by improving issue detection and collections flows – raising the recoup rate of seller fines while minimizing impact on good-faith sellers.
• Lead cross-functional execution with Engineering, Operations, CS, Strategic Finance and Legal; write crisp specs, sequence delivery, and manage trade-offs.
• Measure and analyze end-to-end customer experience and policy funnels, running experiments to improve the seller experience and tune incentives and penalties.
• Champion a culture that moves fast responsibly – shipping iteratively while safeguarding marketplace trust and the bottom line.
• Assist with building and developing a more mature seller experience organization. 

What You’ve Done:  

• 5+ years in Product Management (or equivalent) with experience in two-sided marketplaces, policy & incentives design, enterprise customers or workflow/UX systems.
• Shipped scaled, enterprise products, with highly technical foundational, platform-like services.
• Customer obsessed, with demonstrable results in building product led solutions to improve the customer experience.
• Proven track record designing behavioral incentive systems that shape user actions at scale (e.g., marketplace supply, gig economy, fintech risk, gaming economies).
• Able to break down complex systems into understandable components; excellent written specs and stakeholder communication across Engineering, Legal, Risk, Finance, and Ops.
• Strong analytical chops; comfortable defining metrics and digging into data with tools like SQL, Snowflake, and Tableau to solve problems and analyze experiments. 

What We Offer:

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

Who we are

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches.

About the Role

We’re looking for an Enterprise Process Analyst to join our data & operations team. In this role, you’ll monitor the health of our revenue recapture business through data: identifying anomalies in performance, surfacing issues across data pipelines or operations, and helping ensure that what we deliver to customers is both accurate and actionable.

This is not just a technical data quality role. You’ll work across systems and teams to proactively detect drops, gaps, or unexpected patterns in revenue and product performance and help determine whether they stem from technical failures, operational gaps, or real-world customer behavior. Your work will guide fast triage, help us prioritize fixes, and improve the trust stakeholders have in our platform.

What you’ll do

• Monitor core KPIs across customers, segments, and systems to identify unexpected drops, spikes, or anomalies
• Investigate the root cause of business performance issues, whether due to data issues, operational breakdowns, or product changes
• Build and maintain dashboards, alerts, and monitors to detect early signs of degradation in revenue recapture outcomes
• Partner with Engineering to debug technical issues; with Operations to flag workflow breakdowns; and with Product to validate system behavior
• Maintain and evolve business health checks that serve as our early-warning system
• Create documentation and playbooks to improve response times and support proactive quality practices across the organization

What we’re looking for

• Strong analytical skills and experience working with business KPIs and operational metrics
• Proficiency in SQL and experience with dashboarding/BI tools (e.g., Looker, Tableau, Mode)
• A cross-functional mindset: you’re comfortable working with data engineers, product managers, and ops specialists alike
• Strong sense of ownership and bias for action: you don’t just surface issues, you help solve them
• Bonus: experience with data quality monitoring tools or operational alerting systems

What else you need to know

This role is based in our Los Angeles office. We believe that people do their best work when they are together. As a company, we’re in the marketplace of ideas and innovation. When you’re constantly innovating, changing how an industry works, inventing new products and processes - and we are doing all these things - we believe we’re better as a team in person. That’s why all of our teams (except for our field-based roles) work from one of our office locations 5 days a week.

The base salary range for this role is $100,000 - $125,000 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

Benefits Summary (USA Full-Time Exempt Employees):

• Medical, dental, and vision insurance (multiple plans, incl. HSA options).
• Company-paid life and disability insurance (short- and long-term).
• Voluntary insurance: accident, critical illness, hospital indemnity.
• Optional supplemental life insurance for self, spouse, and children.
• Pet insurance discount.
• 401(k).
• Health Savings Account (HSA)
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Time Off policies:
• Discretionary vacation days
• 8 paid holidays per year
• Paid sick time
• Paid Bereavement leave
• Paid Parental Leave

Benefits are subject to change at the company's discretion.

Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others? 

#LI-Onsite

The Role 

The Business Operations team ensures programs execute at K2 Space. Our team drives strategic planning, production optimization, and resource alignment across engineering and manufacturing. We hire engineers who can lead cross-functional initiatives, analyze operational problems, and apply operations and data science methods to optimize schedules, resources, and outcomes as the company scales. The ideal candidate is a self-starter, complex problem solver, and drives strategic decision-making. 

Responsibilities 

• Design analytical tools to evaluate delivery timelines, production capacity, manufacturing processes, and supply chain constraints, to support informed decision-making 
• Lead the development and execution of production schedules and output targets across programs 
• Partner closely with engineering and manufacturing teams on a daily basis to ensure alignment with validated milestone plans 
• Contribute to team efforts to shape and execute strategies that reduce production and launch risks while capturing opportunities to enhance quality, throughput, safety, and cost performance 
• Create process flow models that simulate production system behavior and align manufacturing output with program requirements 
• Develop a deep understanding of our engineering, manufacturing, and launch operations to improve production forecasting, identify process improvements, and proactively monitor engineering data inputs 
• Establish and monitor key performance metrics while identifying decision down-select points and actions required to optimize production v demand 
• Drive continuous improvement initiatives across systems and operational processes within and between functional organizations 
• Work collaboratively with partners across supply chain, engineering, and finance to maintain program alignment 
• Develop analytical models and visual dashboards to support strategic space planning and operational decision-making 

Qualifications 

• Bachelor’s degree in an engineering or business discipline 
• 2+ years of experience in a fast-paced production or start up environment 
• 1+ years of experience in using Excel, SQL, or Python/R for analysis or modeling dynamic systems 
• 1+ years of experience using Smartsheet or equivalent scheduling tools, and/or experience tracking critical path 

Nice to have 

• Experience with Inventory, production, and capacity planning, including use of MRP/ERP systems 
• Power BI and discrete-event simulation or modeling tools 
• Quantitative analysis: statistics, data analysis, cost–benefit evaluation, and visualization 
• Industrial, operations, process, or manufacturing engineering in a development-stage production environment 
• Lean manufacturing, Six Sigma, and continuous improvement methodologies 
• Background in management science, operations engineering, or industrial engineering 
• Effective contributor within multidisciplinary, cross-functional teams 
• Ability to operate in fast-paced, high-pressure environments 
• Clear and concise written and verbal communication 

Additional Requirements 

• Ability to travel up to 25-50% of the time 
• Active Top Secret or Top Secret SCI clearance preferred; willing to pursue and maintain a clearance if not already cleared  
• Ability to work irregular business hours to support proposals or critical project timelines 

Compensation and Benefits: 

• Base salary range for this role is $90,000 – $140,000 + equity in the company 
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level 
• Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks 

The Role 

You will be responsible for several aspects of the critical supply chain organization. You will be responsible for finding, building, and managing the quality of parts running in our mechanical supply chains. Key skills will include technical procurement of mechanical and structural hardware and Bill of Material (BOM) management for owned assemblies. You will travel to suppliers in order to monitor progress and health while negotiating business contracts and price reductions over time to ensure strategic reductions in costs over time.  

Responsibilities 

Technical Procurement

• Source structural and mechanical hardware across the satellite often on expedited lead times  

• Negotiate costs and contracts with key suppliers  

• Manage supplier quality and deliveries to ensure mission success 

• Act as the primary interface between suppliers and internal customers including: supplier onboarding, evaluation, negotiation, and project management 

Material Planning 

• Manage Bill of Materials for mechanical and structural assemblies 

• Help implement the master planning schedule for high volume production 

• Lead clear to builds with engineering to ensure assembly milestones are completed to hit critical milestones 

• Develop internal analytics to track supply chain objectives 

Qualifications 

• 2+ years of experience in supply chain management or engineering in the aerospace industry 

• 2+ years of experience with commodities such as machined parts, heat pipes, capital equipment, aluminum honeycomb, tubes, tanks 

• Experience reading and interpreting technical engineering drawings  

• Strong understanding of inventory management 

• 2+ years managing bill of materials for mechanical assemblies 

• 1+ year of experience with SQL or other information processing software tool 

• Ability to collaborate in a cross-functional environment with engineering, production, and finance  

• Ability to travel up to 25% of the time 

Nice to Have 

• Bachelor’s degree in supply chain, finance, mechanical engineering, aerospace engineering, or mathematics 

• 3+ years of technical procurement experience 

• 3+ years in a new product introduction environment 

• Experience reading and interpreting technical engineering drawings  

• Experience implementing AS9100 or completing AS9100 audits 

Compensation and Benefits: 

• Base salary range for this role is $65,000 - $100,000 + equity in the company 

• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level 

• Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks 

Our enterprise software team builds the digital backbone that powers K2 Space’s satellite design, manufacturing, and mission operations. We develop tools that connect engineering, production, and mission control into a seamless ecosystem — enabling our hardware to get from concept to orbit faster than ever before.

We’re looking for engineers who are curious, collaborative, and driven to deliver mission-critical software that helps turn ambitious space projects into reality.

Responsibilities

• Develop highly reliable software solutions used across K2 Space — from factory floors to mission control.
• Create and evolve applications that improve how we design, build, and operate our spacecraft.
• Partner closely with engineers, business partners and leaders across disciplines to understand their challenges and design efficient solutions.
• Build prototypes to test concepts and validate technical constraints.
• Develop prototypes into working product features.
• Own full-lifecycle feature development from inception to happy customers.
• Actively contribute to software features and bug fixes.
• Understand tradeoffs in competing engineering options and be able to articulate these tradeoffs to senior engineers and contribute to implementation progress.
• Work with customers to drive adoption and make progress on product usability.
• Understand priorities communicated by senior staff and work to develop solution with minimal oversight.
• Ability to balance being strongly opinionated on tech stack while remaining open-mind and willingness to reevaluate with new data point.
• Actively contribute to building a culture of transparency, empathy, integrity and engineering excellence.
• Actively mentoring other staff members and help team members build good culture and engineering practices.

Qualifications

• Bachelor's degree in computer science, information technology, mathematics or a STEM discipline or 1-3+ years of professional experience in software engineering.
• 1+ years of experience in full stack development, platform engineering or API development.
• 1+ years of experience with AWS.
• 1+ years of in-depth working experience with CI/CD such as GH Actions, Jenkins, Gitlab CI/CD.
• 1+ years of in-depth working experience with Git.
• 1+ years of in-depth working experience with Docker.
• 1+ years of in-depth working experience with Kubernetes (prefer AWS EKS).
• Working experience with one or more of the following static typed programming languages such as C#.NET, Go, Java.
• 1+ years of experience with structured database such as PostgreSQL, SQL Server, Snowflake or similar technologies
• 1+ years of experience with unstructured database such as NoSQL, Amazon DynamoDB, MongoDB or similar.
• Working experience with all aspects of software engineering best practices.
• Working experience with REST API or gRPC.
• Working experience with binary management platforms such as JFrog Artifactory, AWS CodeArtifact or similar technologies.
• Experience with infrastructure orchestration and management tools (Terraform, Ansible, Puppet).
• Working experience with OAuth 2.0 and OIDC.

Nice to Have

• Experience with Next.js, React, Angular, or similar frameworks.
• Working experience with TypeScript.
• Working experience with testing tool such as Cucumber and Cypress.
• Foundational knowledge of scalable, high-performance software systems.
• Knowledge of build systems and package management tools (e.g., Make, Gradle, npm, pip).

Compensation and Benefits:

• Base salary range for this role is $123,000  $160,000 + equity in the company
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
• Comprehensive benefits package including unlimited paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks

The Role 

As a Principal Application Software Engineer on our Enterprise Team, you will design and build mission-critical software that connects engineering, manufacturing, and operations. Your work will directly enable accelerated satellite design, rapid production, and reliable mission execution. You’ll collaborate closely with teams throughout K2 Space and deliver systems that improve efficiency, scale operations, and support ambitious missions.

Responsibilities 

• Develop highly reliable software solutions used across K2 Space — from factory floors to mission control. 
• Create and evolve applications that improve how we design, build, and operate our spacecraft. 
• Partner closely with engineers, business partners, and leaders across disciplines to understand their challenges and design efficient solutions. 
• Develop prototypes test concept and progress to full fledge software products. 
• Own full-lifecycle product development from inception to happy customers. 
• Lead architecture reviews, design discussions, and code reviews with your unique perspective. 
• Lead software architecture design, deployment strategy, coding standards, and quality processes. 
• Evaluate and make decisions regarding engineering options while balancing tradeoffs.  
• Advocate, defend and convert other engineering leaders to your own solutions. 
• Use data to drive prioritization of work and design of solutions to create the largest positive impact. 
• Actively contribute to building a culture of transparency, empathy, integrity, and engineering excellence.  
• Actively mentoring other staff members and help team members build good culture and engineering practices.  

Qualifications 

• Bachelor's degree in computer science, information technology, mathematics or a STEM discipline or 15+ years of professional experience in software engineering.  
• 10+ years of experience in full stack development, platform engineering, or API development. 
• 5+ years of experience with AWS (or Azure, GCP) 
• 5+ years of in-depth working experience with CI/CD such as GH Actions, Jenkins, Gitlab CI/CD.  
• Working experience with Docker. 
• In-depth working experience with Kubernetes (prefer AWS EKS). 
• Expert working experience with one or more of the following static typed programming languages such as C#, Go, Java, C++, TypeScript. 
• 5+ years of experience with structured database such as PostgreSQL, SQL Server, Snowflake or similar technologies 
• Working experience with unstructured database such as NoSQL, Amazon DynamoDB, MongoDB or similar. 
• Strong working experience with REST API or gRPC. 
• Strong working experience with binary management platforms such as JFrog Artifactory, AWS CodeArtifact or similar technologies. 
• Experience with infrastructure orchestration and management tools (Terraform, Ansible, Puppet). 

Nice to Have 

• Experience with Next.js, React, Angular, or similar frameworks. 
• Working experience with testing tool such as Cucumber and Cypress. 
• Experience designing scalable, high-performance software systems. 
• Knowledge of build systems and package management tools (e.g., Make, Gradle, npm, pip). 
• Familiarity with data streaming technologies like Apache Kafka, RabbitMQ, or similar. 

Compensation and Benefits: 

• Base salary range for this role is $190,000 - $230,000 + equity in the company 
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level 
• Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks 

The Role

As a Sr. PCB Librarian, you will own the consistency, reliability, and scalability of K2 Space’s ECAD component library – one of the most foundational assets in our electronics development pipeline. You’ll work closely with electrical, manufacturing, and reliability engineers to define how components are created, validated, and maintained across all K2 Space satellite programs. Your work will directly shape the speed, quality, and repeatability of every PCB we design. 

 
Responsibilities 

• Create, review, and release schematic symbols, PCB footprints, 3D models, and parametric data for a wide range of electrical components. 
• Develop and enforce library standards, naming conventions, metadata schemas, and documentation that ensure consistency across all designs. 
• Implement automated qualityc hecking tools and workflows to detect errors, enforce rules, and streamline componentcreation. 
• Manage lifecycle states for components (prototype, flight, obsolete), ensuring traceability and alignment with configurationmanagement processes. 
• Drive continuous improvement of library processes, including version control, review workflows, and integration with PLM/ERP systems. 

Qualifications 

• Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related technical field. 
• 5+ years of experience in PCB design, component management, or electronics hardware development. 
• Deep expertise with at least one major ECAD tool (e.g., Altium Designer, Cadence Allegro/OrCAD, Mentor Xpedition). 
• Strong understanding of PCB manufacturing processes, IPC standards, and DFM/DFT principles. 

Nice to Have 

• Experience with Altium Designer. 
• Experience supporting high reliability or aerospace electronics (space, automotive, medical, defense). 
• Experience developing automated scripts or tools for library management (Python, SQL, ECAD APIs). 
• Proficiency with Excel. 

Compensation and Benefits: 

• Base salary range for this role is $130,000 - $170,000 + equity in the company 
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level 
• Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks 

The Role 

As a Senior Application Software Engineer on our Enterprise Team, you will design and build mission-critical software that connects engineering, manufacturing, and operations. Your work will directly enable accelerated satellite design, rapid production, and reliable mission execution. You’ll collaborate closely with teams throughout K2 Space and deliver systems that improve efficiency, scale operations, and support ambitious missions.

Responsibilities 

• Develop highly reliable software solutions used across K2 Space — from factory floors to mission control. 
• Create and evolve applications that improve how we design, build, and operate our spacecraft. 
• Partner closely with engineers, business partners and leaders across disciplines to understand their challenges and design efficient solutions. 
• Build prototypes to test concepts, validate technical constraints and progress to production features. 
• Own full-lifecycle feature development from inception to happy customers. 
• Actively contribute to software architecture design, deployment strategy, coding standards and quality processes. 
• Understand tradeoffs in competing engineering options and be able to articulate these tradeoffs to senior leadership to help drive decisions. 
• Work with customers to drive adoption and make progress on product usability. 
• Use data to drive prioritization of work and design of solutions to create the largest positive impact.  
• Actively contribute to building a culture of transparency, empathy, integrity and engineering excellence.  
• Actively mentoring other staff members and help team members build good culture and engineering practices.  

Qualifications 

• Bachelor's degree in computer science, information technology, mathematics or a STEM discipline or 8+ years of professional experience in software engineering.  
• 5+ years of experience in full stack development, platform engineering or API development. 
• 3+ years of experience with AWS. 
• 3+ years of in-depth working experience with CI/CD such as GH Actions, Jenkins, Gitlab CI/CD.  
• Working experience with Docker. 
• In-depth working experience with Kubernetes (prefer AWS EKS). 
• Expert working experience with one or more of the following static typed programming languages such as C#, Go, Java, C++, TypeScript. 
• 3+ years of experience with structured database such as PostgreSQL, SQL Server, Snowflake or similar technologies 
• Working experience with unstructured database such as NoSQL, Amazon DynamoDB, MongoDB or similar. 
• Strong working experience with REST API or gRPC. 
• Strong working experience with binary management platforms such as JFrog Artifactory, AWS CodeArtifact or similar technologies. 
• Experience with infrastructure orchestration and management tools (Terraform, Ansible, Puppet). 

Nice to Have 

• Experience with Next.js, React, Angular, or similar frameworks. 
• Working experience with testing tool such as Cucumber and Cypress. 
• Experience designing scalable, high-performance software systems. 
• Knowledge of build systems and package management tools (e.g., Make, Gradle, npm, pip). 
• Familiarity with data streaming technologies like Apache Kafka, RabbitMQ, or similar. 

Compensation and Benefits: 

• Base salary range for this role is $160,000 - $200,000 + equity in the company 
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level 
• Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks 

The Role 

Configuration and requirements are more than paperwork, they’re the backbone of product integrity. We’re looking for someone who can design and manage the systems that keep our vehicles consistent, traceable, and ready for mission success. This role goes beyond record-keeping: you’ll analyze change impacts, lead deviation reviews, and help teams make smarter decisions about cost, risk, and obsolescence. 

Responsibilities 

• Define and maintain requirements framework and configuration baselines from concept through delivery. 
• Create and embed procedures for requirement flow-down, change management, and traceability into PLM/ALM tools for frictionless execution. 
• Establish baseline creation and release criteria to keep programs aligned without slowing iteration. 
• Build infrastructure for digital libraries (genealogy, revision history, ECO/ECN effectivity) and ensure complete EIDPs. 
• Maintain end-to-end traceability across hardware, software, test artifacts, and documentation; monitor and correct configuration drift. 
• Develop supplier document control procedures for PPAP/APQP deliverables and change notices; manage configuration-related SCARs and effectivity. 
• Integrate external signals (GIDEP, DLA resources) to mitigate counterfeit/obsolescence risks and maintain documentation integrity. 
• Own and improve QMS architecture for configuration and requirements; build analytics for effectiveness (traceability coverage, ECO cycle time, escape rate). 
• Implement automation for change impact analysis, document comparison, and release readiness; lead configuration-related 8D/CI efforts. 
• Chair/support Change Review Boards; analyze proposed changes for technical, schedule, and cost impact; provide dashboards for change volume and financial impact. 

Qualifications  

• BS in Engineering (Mechanical/Electrical/Aerospace/Industrial) or science discipline; MS or PhD a plus. 
• 12+ years with cross-team technical direction and company-level impact. 
• Hands-on with structured quality systems (AS9100, AS9145/APQP; or analogous frameworks in automotive, medical devices, robotics, electronics). 
• Strong experience with PLM/ALM tools (Teamcenter, Windchill, Jama/DOORS), MES/ERP, and release/change workflows (ECO/ECN). 
• Data skills: SQL and cloud services, plus BI dashboards (Tableau/Power BI), PowerApp Suite. 

Nice to Have 

• CM standards exposure (CMII, ISO 10007), document control in multi-discipline products (mechanical, electrical, software). 
• Experience linking ATP/verification artifacts to baselines; digital thread initiatives across design, test, and production. 
• Familiarity with cost modeling for engineering changes and obsolescence risk. 
• Ability to obtain a security clearance if required. 

Compensation and Benefits: 

• Base salary range for this role is $175,000 - $220,000 + equity in the company 
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level 
• Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks 

The Role 

As a Senior Software Engineer on our Ground Software team, you are responsible for creating the software that is used to build, test, and fly our satellites and customer payloads. You will build upon the mission software platform used to fly K2's Gravitas satellite, developing new capabilities and automation as we scale to support multiple constellations. You will collaborate closely with internal Mission Operations and Flight Software teams to define and implement our overall mission architecture, and you will work with external customers to scope and deliver software that meets their payload needs. 

You will have the opportunity to work in exciting, interdisciplinary domains like: satellite command and control, constellation operations, mission automation, radio communications, astrodynamics, and more. 

**This role requires in person presence at our headquarters in Torrance, CA.** 

Responsibilities 

• Design and implement software that facilitates the build, test, and operations of K2's vehicles and our customers' payloads 
• Collaborate with Mission Operators and Engineers across the company to identify and scope software solutions to complex technical and business problems
• Facilitate software design reviews, architecture discussions, and code reviews to align stakeholders on technical direction
• Work across our stack (Rust backend, TypeScript/Vue frontend) to support development, test, and operations milestones
• Support internal and external customers in an on-call capacity as your software is used to drive ground test activities and on-orbit spacecraft operations
• Mentor other engineers to build a strong team culture and software engineering practices 

Qualifications 

• Bachelor's degree in computer science, computer engineering, electrical engineering, math, or a STEM discipline or 3+ years of professional experience in software engineering   
• Additionally, 5+ years of experience building software solutions in a professional environment 

Nice-to-Have 

• Experience working on space missions and/or the satellite ground segment 
• Experience with Rust or another statically-typed backend programming language (Go, C++, Java, C#, TypeScript)
• Experience with JavaScript/TypeScript and modern frontend development tooling (Vue, React, Svelte)
• Experience with version control, continuous integration, build, deployment, monitoring
• Experience developing HTTP or gRPC APIs
• Experience with SQL databases (PostgreSQL or similar)
• Experience designing and implementing event-driven architectures
• Experience developing reliable, scalable systems
• Experience with Docker and/or Kubernetes
• Experience with WebSockets and/or Server-Sent-Events (SSE)
• Familiarity with cybersecurity best practices and relevant certifications/standards (SOC2, FedRAMP)
• Familiarity with networking protocols (TCP/IP, UDP, QUIC)
• Familiarity with data streaming technologies such as NATS, Pulsar, or similar 

Compensation and Benefits: 

• Base salary range for this role is $150,000 - $200,000 + equity in the company
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
• Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks 

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.

Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally- connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally.

The Team: Marketplace Quality Engineering:

Every second, our bidder evaluates millions of ad opportunities across thousands of publishers and supply paths. Not all of that supply is created equal — some of it is duplicated, some is structurally inaccessible, and some degrades advertiser outcomes. The Marketplace Quality Engineering team exists to make sure our platform is buying the right impressions, not just more impressions.

We own the systems that assess, measure, and optimize supply quality across the programmatic ecosystem. Our work spans deduplication, supply path analysis, quality modeling, and the tooling that turns those signals into decisions at bid time. The problems are technically deep — think identity resolution across fragmented supply chains, statistical modeling to separate signal from noise, and real-time decisioning at platform scale — and they have direct, measurable impact on both advertiser outcomes and platform economics.

This is not theoretical work. When we ship a model update, spend distribution across the platform shifts. Our engineering decisions translate directly into tens of millions of dollars of measurable business impact. If you want to build systems where what you ship visibly matters, this is the team.

You will work with C# / .NET as a core strength, alongside Python and SQL where data and automation need it, and partner closely with product, data, and platform teams across time zones.

Who you are:

Our culture runs deeper than having fun together (though we do that well, too). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not need to meet every requirement below, but people who meet most of them tend to thrive in this role:

- You are comfortable working on an agile, distributed team across time zones and continents.

- You communicate effectively with both technical and non-technical audiences.

- You have a solid grasp of computer science and engineering fundamentals.

- You have strong experience with distributed systems and data-heavy backend work (services, pipelines, or both).

- You are proficient in C# / .NET.

- You are productive with modern development tools: Visual Studio, Visual Studio Code, Rider, and Git.

- You bring 7+ years of software development or engineering experience.

Nice to have (not required): GraphQL or REST API design, large-scale data processing frameworks (e.g. Apache Spark), workflow orchestration tools (e.g. Apache Airflow), schema-based data serialization, Kubernetes, Kafka, database engines (Microsoft SQL Server, PostgreSQL, Aerospike, Vertica, Redis), microservices, Python for data work or automation, and experience working across large codebases with multiple teams.

A wide range of technical opportunities is one of the best parts of engineering at The Trade Desk, which is why we do not expect you to know every technology we use on day one. What matters is that you learn quickly and solve complex problems with the right tools. What you know today matters less than how well you learn, adapt, and innovate. We are not looking for people who already have all the answers — we want engineers who can invent answers no one has thought of yet and frame the questions we have not yet asked.

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

About the role

As a Staff Data Analyst, you will lead high-impact analytical work that shapes Crunchyroll’s content strategy - from greenlight to presentation to engagement and retention. You’ll define measurement frameworks, build certified data assets, and partner closely with Content Strategy, Programming, Product, and Licensor teams to deliver insights that guide multi-million-dollar decisions. This role operates with broad autonomy and plays a key part in raising analytical rigor, strengthening data quality, and establishing standards across the Fan Experience (FX) Team.

You will:

• Lead content measurement frameworks: define north-star KPIs, normalization methods, and comparable title metrics to drive consistent decision-making across regions, seasons, modalities, and content types.
• Build certified, reusable data assets: develop durable datasets in Databricks that standardize title/season/episode joins and metadata keys, ensuring high-quality, consistent downstream analysis.
• Advance understanding of content impact: quantify title-driven acquisition, engagement, and retention; model content-attributed churn risk; and develop portfolio-level diagnostics to inform slate and localization decisions.
• Own and evolve attribution & user-journey insights: maintain and improve viewership attribution logic to map discovery → click → watch → return behaviors, enabling clear readouts on how users discover and engage with titles.
• Drive experimentation and presentation measurement: design success metrics, partner on eventing, and analyze experiments for homepage rails, thumbnails, recommendations, language selectors, and other discovery/presentation surfaces.
• Deliver decision assets for Content & Licensors: produce clear analyses, dashboards, and reusable frameworks for greenlight, localization ROI, curation, licensor narratives, and internal/external self-serve tooling.
• Elevate analytics craft & standards: document methods, set QA and analysis standards, mentor analysts across VODAX, and support hiring to strengthen long-term analytics capability.

In the role of Staff Data Analyst, Content Analytics, you will report to the Manager, Content Analytics. We are considering applicants for Los Angeles (in office Tuesdays, Wednesdays, and Thursdays).

About You

We get excited about candidates, like you, because…

• You have 12+ years of experience in content, product, or streaming analytics with a track record of solving highly complex, ambiguous problems that influence org-level decisions.
• You possess expert SQL and strong Python/PySpark skills, with hands-on experience working in Databricks or similar lakehouse environments.
• You have deep experience with large-scale viewership, subscription, or payments datasets and have built certified datasets or BI-ready data assets.
• You possess strong experimentation and causal inference skills including test design, metric definition, and analysis of A/B results.
• You have fluency with Tableau or similar BI tools and can design dashboards that scale across stakeholder groups.
• You embody domain expertise in streaming/content analytics including attribution modeling, content normalization, and understanding how content impacts user behavior and retention.

About the Team

You will join the Fan Experience (FX) team within the Center for Data & Insights (CDI) organization with a focus on Content Analytics. The team builds core engagement metrics, attribution logic, experimentation frameworks, and licensor-facing insights that support decision-making across the content lifecycle - from greenlight to discovery to retention. As Crunchyroll continues to scale globally, the team is expanding its capabilities and establishing durable measurement foundations that support partners across Content, Product, and the broader CDI organization.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

• Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
• Flexible time off policies allowing you to take the time you need to be your whole self.
• Generous medical, dental, vision, STD, LTD, and life insurance
• Health Saving Account HSA program
• Health care and dependent care FSA
• 401(k) plan, with employer match
• Employer paid commuter benefit
• Support program for new parents
• Pet insurance and some of our offices are pet friendly!

#LifeAtCrunchyroll #LI-Hybrid

Company Information
For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!

Job Summary

The Dynamics 365 Developer is responsible for the architecture, design, development, and administration of AEG's Power Apps and Dynamics platform. This role is a critical resource focused on building, maintaining and supporting custom application versions across multiple business units. The role will be an integral member of the AEG Global Technology team and liaise directly with stakeholders from various business areas to understand and support their application needs. The role will also work closely with the Infrastructure and Operations team to ensure that all standards and security requirements are met and delivered.

Essential Functions

• Administration, development and support of Microsoft Platforms Apps across various AEG entities.
• Provide support and administration of third party solutions.
• Maintenance of custom configurations within the Power Platform environment and Dynamics Platform.
• Development of integrations of data and functionality using the Power Platform (Power Automate and Power Apps)
• Documenting and defining user requirements with product stakeholders, including flow charts, layouts and diagrams
• Establishes best practice for support of and knowledge sharing of the functionality of the Dynamics 365 and Power Platform environment.
• Support Azure Web App Servers
• Work with the AEG Data Engineering and BI teams to ensure data integrity across the applications and datasets when using Dataverse.

Required Qualifications

• BA/BS Degree (4-year) Computer Science or related technical area
• 2-4 years Experience with Dynamics 365, Office 365 and Microsoft Power Platform preferred
• Experience working with Azure Functions and Logic Apps and Azure Web Services
• Experience of working with various systems integrations, including APIs, stream data sources
• Experience working with application managements lifecycle tools/source control, Power Apps
• Experience of Application Development, using C#, .Net and SQL
• Experience with Azure SQL Database
• Experience with Scripting languages including HTML5, CSS, Node.js, and Javascript
• Experience with Dataverse is preferred
• Experience with Typescript preferred
• Experience with Power Apps Pipeline preferred
• Strong verbal and written communication skills and ability to interface with all levels of the organization
• Possesses a balance of an analytical personality coupled with strong collaborative, communication, written and executive presentation skills
• Demonstrated ability to lead projects
• Organized, diligently follows up on open tasks
• Competency in Analytical Problem Solving, Product & Technology Expertise, Project Management, Strategic Insights
• Strong understanding of Power Platform modules with functional knowledge of the entire product suite
• Microsoft Certified Systems Administrator (MCSA) Dynamics 365 related certifications
• Power Platforms Fundamentals PL-900
• Microsoft Dynamic 365 Fundamentals (CRM) MB-910

Pay Scale: $125,000.00 - $145,000.00

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

Employer does not offer work visa sponsorship for this position.

About Carvana

“We believe CVNA is in the early stages of becoming the next U.S. retail category killer.” 

– Stephens Investment Bank, Analyst Report, Sept. 2024

“Growing a capital and labor intensive, industrial type asset at a 40% clip is unchartered territory…”

– JP Morgan Chase, Analyst Report, Jan 2026

Building leading-edge technology has been at the core of Carvana's strategy since our founding, driving us to become the 3rd fastest company in history to organically reach the Fortune 500, following only Amazon and Google. Today, we remain founder-led and as ambitious as ever. In 2024, we emerged as both the fastest-growing and most profitable automotive retailer in the US, thanks to our deep vertical integration across retail, lending, vehicle transportation, wholesale auctions, and more.

Our technology teams build:

• End-to-end ecommerce for buying and selling cars, including everything you see on Carvana.com and in our mobile apps.
• AI-driven customer support across chat, email, SMS, and voice, as well as a proprietary CRM platform built for efficiency and quality at scale.
• 360° vehicle photography and interactive merchandising using cutting-edge computer vision and AI.
• The most sophisticated self-service automotive lending platform in the world; a full fintech stack.
• Systems and tools behind a nationwide logistics network that has delivered and picked up over 3 million cars via our fully owned and operated fleet, reaching 90% of US driveways.
• Enterprise-grade systems for operating the largest vehicle reconditioning facilities in the US, with workflow automation covering everything mechanical, electrical, and cosmetic.
• Early adoption and customization of AI tools to optimize developer efficiency and experience.

And much, much more…

About the team and position

Our Product team is at the center of that growth, and we are hiring. We are an AI-first technology organization that moves fast, operates with high ownership, and builds things that matter at scale. If you want to grow not just as a Product Manager but as a leader and business-builder, Carvana is the place for you.

We are hiring Product Managers across several teams in Los Angeles and Phoenix, spanning mid-level and senior roles. While each team has its own focus area, we look for the same foundational qualities across all of them: strong product instincts, a data-driven mindset, an AI-first approach to work, and the drive to own outcomes end to end.

The Teams

Depending on your background and interests, you may be considered for one or more of the following teams:

• Conversational AI: Own the roadmap and continuous improvement of Sebastian, our AI-powered conversational agent built on leading-edge LLMs that helps millions of customers research, buy, sell, and manage their vehicles.
• Transactional Communications: Own the customer-facing communications ecosystem across email and SMS, delivering clear, empathetic, and timely messages throughout the car-buying journey at scale.
• Nurture: Lead nurture communications on an AI-first team, guiding customers from early interest through purchase using machine learning, personalization, and experimentation across email, SMS, and push.
• Engineering Horizontals - Identity, Experimentation & Data Platform: Own the foundational platforms that power customer trust, product innovation, and regulatory compliance, including authentication, consent management, data privacy APIs, and experimentation infrastructure, as well as the strategic shift in how Carvana consumes and governs data through enterprise adoption of Sigma, migration of legacy SQL Server assets to Snowflake, and ownership of the unit economics of the data platform.
• New Car Platform: Own product strategy and execution for high-priority special projects across Carvana's New Car organization, spanning new entrants, franchise manufacturers, and direct-to-consumer offerings with broad cross-functional visibility.

What you’ll be doing

While responsibilities vary by team, all roles share a common set of expectations:

• Drive the product roadmap and lead end-to-end product development informed by customer research, analytics, and business needs.
• Partner cross-functionally with Engineering, Design, Data Science, Analytics, and business stakeholders to scope, prioritize, and ship high-impact initiatives.
• Own experimentation and measurement, actively interpreting results and translating insights into continuous product improvements.
• Apply AI tools as a core part of how you work, accelerating research, synthesis, prototyping, and day-to-day execution.
• Write clear requirements, project briefs, and documentation to align stakeholders and enable effective engineering execution.
• Use data to size opportunities, evaluate tradeoffs, and make decisions.
• Take full ownership of your product area and be accountable for the long-term trajectory of key business outcomes such as sales, gross profit, customer satisfaction, and cost per unit sold.

What you should have/know

• A bachelor's degree in STEM, Economics, Finance, Business, Design, or equivalent experience.
• Two or more years of product, product analytics, or related experience for mid-level consideration; four or more years for senior-level consideration.
• Outcome-oriented and data-driven decision making, backed by expertise in metrics, analytics, and tools such as SQL, Tableau, Looker, or Sigma.
• An AI-first approach to product work, with hands-on experience using AI tools for research, analysis, prototyping, and day-to-day productivity.
• Excellent written and verbal communication, organizational, and project management skills with strong attention to detail.
• Ability to learn and absorb technical concepts and communicate them effectively to non-technical audiences.
• Deep product experience at one or more highly successful and ideally high-growth companies.
• Strong opinions about consumer products and a developed sense of product taste.
• Experience with experiment design and interpretation.
• A willingness to roll up your sleeves and do whatever it takes for the sake of the team and our customers.
• Self-motivated with a sense of humor and the ability to thrive in a fast-paced, ambitious environment.

It would be great if you also have

• A genuine passion for AI and its potential to transform product experiences, not just familiarity with the tools but a curiosity about where the technology is headed and how to apply it creatively.
• Hands-on experience building or iterating on AI-driven products, including features powered by machine learning, LLMs, RAG, tool-calling, or agent frameworks.
• Knowledge of data science best practices and the ability to collaborate closely with data scientists and ML engineers to shape model-informed product decisions.
• Strong UX instincts and the ability to anticipate user needs and pain points, especially in AI-assisted or conversational experiences.
• Experience with agile methodology and product strategy and roadmapping.
• Familiarity with Snowflake, Sigma, Looker, or Tableau for independent data exploration.
• Background in automotive, e-commerce, marketplaces, retail, or similarly complex operating environments.

What we’ll offer in return

• Full-Time position with a competitive salary and Carvana stock compensation.
• Medical, Dental, and Vision benefits.
• 401K with company match.
• A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more.
• A great wellness program to keep you healthy and happy both physically and mentally.
• Access to opportunities to expand your skill set and share your knowledge with others across the organization.
• A company culture focused on high performance and bar-raising, with vast opportunity to learn and grow.

Other requirements

To be able to do your job at Carvana, there are some basic requirements we want to share with you.

• Must be able to read, write, speak and understand English.

Of course, we’ll make any reasonable accommodations for those with disabilities to perform the essential functions of their jobs. 

Legal stuff

Hiring is contingent on passing a complete background check. This role is eligible for visa sponsorship.

Carvana is an equal employment opportunity employer.  All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law.  Carvana also prohibits harassment of applicants or employees based on any of these protected categories.

Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

Company & Culture: 

At GT’s Living Foods, we’re more than just a company – we’re a community passionate about creating a healthier, happier world. Over the last 30 years we’ve built a culture of inclusivity and authenticity, where our shared values create an environment that inspires you to do your best while achieving meaningful results. Our mission to transform health and happiness through potent, living foods has established us as the #1 Kombucha brand and a leader in the Health & Wellness space.

Requirements:

• Bachelor’s Degree (or equivalent experience) in Business, Finance, Economics, Statistics, Data Analytics, or a related field. MBA or advanced degree a plus.
• 10+ years in CPG demand forecasting, category management, demand planning, or commercial strategy supporting a national sales organization.
• 10 years of relevant experience in CPG commercial analytics, category management, demand planning, or commercial strategy.
• Hands-on experience with syndicated data (SPINS, Nielsen, IRI) strongly preferred.
• Demonstrated track record translating complex analytics into concise, decision-ready recommendations for executive and commercial audiences.
• Experience building and operationalizing analytics infrastructure: dashboards, forecasting models, and field enablement tools in a CPG environment.

Job Description:

The role owns the analytics, planning integration, and decision-support infrastructure that connects sales planning & execution at GT’s Living Foods. This leader designs and maintains the analytical systems, dashboards, and structured decision frameworks that enable commercial leadership to understand performance, prioritize opportunities, and execute the Annual Operating Plan.

Job Responsibilities:

• Provide commercial readiness assessments and analysis for innovation (Stage-Gate / Innovation, Research & Development): category opportunity, retailer fit, demand sizing, sequence timing for retailer launch windows and launch forecast modeling.
• Lead the Risk & Opportunity (R&O) framework: developing sales pipeline of opportunities and maintain forward-looking visibility at account, channel, and product level with escalation triggers so leadership can act.
• Embed commercial inputs into the demand forecast: promotional calendars, assortment/distribution changes, retailer programs, and field intelligence; partner with Demand Planning to improve forecast accuracy through causal models and operationalized commercial drivers.
• Own and evolve the Sales Behavior Dashboard and related analytic suites tracking distribution, velocity, pricing, promotional execution, account/store performance, and other commercial drivers.
• Build repeatable analytics (templates, models, playbooks) that reduce ad-hoc requests and increase speed to insight.
• Support AOP development, sanity-checking, and monitoring; run scenario analysis aligned to financial targets and supply constraints to ensure sales strategies are economically sound and operationally executable.
• Design field enablement tools and programs retailer execution playbooks, account-level opportunity views that enable the field to convert analytics into higher execution and wallet-share.
• Define requirements and roadmap for commercial analytics tooling (dashboards, forecasting tools, decision libraries); ensure data quality, governance, and integration across syndicated sources (SPINS/Nielsen/IRI), ERP/CRM feeds, and field inputs.
• Lead analytics preparation for key commercial governance forums; deliver structured decision packs with clear options, sensitivities, and recommended paths (including financial and supply implications).
• Identify retailer execution gaps (segment-level velocity changes, promotion execution, distribution gaps) and convert them into prioritized, time-bound recommendations for field and leadership.
• Communicate clearly to senior executives and persuasively guide leaders to outcomes that will grow the business.

Knowledge, Skills & Abilities:

Key Role Competencies

• Systems thinking: ability to connect sales execution, demand planning, and financial performance into an integrated commercial picture.
• Structured problem-solving and scenario planning; comfortable operating with ambiguity and competing priorities.
• Storytelling that wins: concise, executive-ready writing and visuals; clear options, sensitivities, and recommended paths.
• Cross-functional leadership: strong partnership with Sales, Insights, Finance, Demand Planning, and Supply Chain; influences without authority.
• Bias for execution: delivers tools and processes that stick in the field; drives adoption through simplicity and training cycles.

Functional/Technical Skills

• Demonstrated analytical rigor; advanced Excel and data-modeling skills.
• Dashboard and reporting expertise (Power BI, Tableau, or equivalent).
• Familiarity with forecasting/planning tools and ERP systems (Dynamics 365 or similar).
• Experience with syndicated data platforms (SPINS, Nielsen, IRI) preferred.
• SQL or equivalent data querying experience is a plus.

GT’s Employee Experience (Benefits/Perks):

• Health Insurance: Medical, Dental, Vision, and Life Insurance
• 401K with Matching
• Employee Assistance Program
• Discounts on the amazing GT’s product line (available for pickup at headquarters only)
• Corporate Discounts with our partners through LifeMart (concert & sporting event tickets, cell phone service, gifts, restaurants, hotels, childcare, and more!)

Job Details:

• Work Hours: Monday through Friday, business hours; Hybrid 4:1; 4 days onsite (Vernon, CA)
• Work Attire: Use good judgment, keeping in mind the nature of their work, their safety and the safety of others, and their need to interact with the public.
• Pay Range: $180,000 to $210,000, bonus eligible

GT's Living Foods, LLC is an Equal Opportunity Employer committed to hiring a diverse workforce and maintaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, disability or any other basis protected under federal, state or local laws.

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.  

The Role

AXS is seeking a Senior Manager, Paid Search, to join our team in Los Angeles, CA. This role will manage a $2-5M annual search budget across thousands of campaigns, utilizing your expertise in Google Ads, Search Ads 360, and advanced bid/keyword management strategies. Reporting to the Director of Paid Marketing, you will be key in driving daily optimizations and strategic initiatives to maximize ROI and scale our digital marketing efforts, specifically in paid search.

What Will You Do?

• Manage real-time bid strategies to achieve target CPC and ROI across campaigns.
• Apply a mix of automated rules and manual adjustments to maintain budget alignment and performance goals.
• Analyze keyword performance and continuously refine ad copy to improve CTR and conversion rates.
• Test messaging variations and identify new optimization opportunities.
• Lead campaign setup and launch efforts, ensuring alignment with targeting strategies, device optimization, ad extensions, and scheduling parameters.
• Develop templates and repeatable processes for large-scale campaign deployments.
• Collaborate with MarTech to implement automation and improve speed to launch.
• Monitor performance KPIs, adjust campaign strategy based on insights, and regularly assess campaign health.
• Build and refine performance dashboards to surface real-time campaign insights and inform strategic decisions.
• Prepare campaign reports highlighting key trends, wins, and areas for improvement.
• Analyze performance data to drive actionable next steps.
• Develop and manage A/B testing plans to optimize ad copy, bidding strategies, and keyword targeting across high-volume campaigns.
• Partner with the Director of Paid Marketing to align operational efforts with broader marketing objectives.
• Identify opportunities for process improvements and automation.
• Stay current on paid search trends and best practices, incorporating new tactics to enhance overall campaign performance.

What Will You Bring?

• BA/BS Degree (4-year) in Marketing, Economics, Math, Finance, or related fields
• 4- 6 years of hands-on paid search marketing experience, managing annual budgets exceeding $2M, with ultimate accountability for measurable ROI.
• Proven track record of quickly diagnosing performance issues and adjusting tactics in real time.
• Extensive experience developing, optimizing, analyzing, and reporting on paid campaigns across brand and performance objectives.
• Advanced understanding of paid search fundamentals including bidding strategies, keyword targeting, and ad copy optimization.
• Ability to analyze complex datasets, draw actionable insights, and develop performance dashboards.
• Proficiency in tracking key metrics and making data-driven optimization decisions.
• Proficiency in leveraging automation tools and MarTech solutions to streamline campaign setup, optimization, and reporting.
• Meticulous approach to setting up campaigns, managing budgets, and ensuring consistent campaign performance.
• Understanding of media planning principles and core marketing concepts.
• Excellent communication and collaboration skills, with the ability to work cross-functionally in a fast-paced environment.
• Demonstrated expertise in handling thousands of simultaneous campaigns at scale.
• Advanced proficiency with Google Ads and Search Ads 360. Proficiency with web analytics/BI tools such as Adobe Analytics, Google Analytics and Looker. SQL proficiency a plus.
• Proven success with A/B test design and optimization. Willingness to experiment with new tactics, test, and refine strategies based on data insights.

Pay Scale: $100,765- $130,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

*Employer does not offer work visa sponsorship for this position.

What’s in it for You?

• Extraordinary People – we’re not kidding!
• Meaningful Mission– Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Development and Learning – Opportunities for learning and leveling up through training and education reimbursement.
• Community & Belonging – A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

More about AXS

AXS, a subsidiary of AEG, sells millions of tickets each year for over 500 premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Clients include First Avenue, USGA, Red Rocks Amphitheatre, Crypto.com Arena, Coachella, Stagecoach, The O2, and B.League (Japan).

Headquartered in Downtown Los Angeles, California, AXS employs more than 500 professionals in multiple locations worldwide. In each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment. 

To learn more about our culture and values, visit: https://solutions.axs.com/careers/

More about AEG

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can't "check every box" in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

We’re an equal opportunity employer and never discriminate based on gender, age, race, religion, color, national origin, sexual orientation, marital status, veteran status, or disability status. 

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

 #LI-Onsite

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.  

The Role:
AXS is seeking a Premium Services Pricing Manager to join our team in Los Angeles, CA. This role is responsible for optimizing sales and revenue through data-driven pricing strategies for ticket inventory, using demand trends, sales performance, and market insights to inform decisions. The position collaborates closely with clients and cross-functional teams to manage inventory, track performance, and make real-time pricing adjustments that maximize revenue and sell-through

What You’ll Do:

• Develop and execute pricing strategies for premium ticket inventory across events and markets to maximize revenue and sell-through
• Analyze sales performance, demand trends, and customer behavior to inform pricing decisions and optimize outcomes
• Monitor key performance metrics and adjust pricing and inventory in real time to improve revenue and efficiency
• Partner with clients to implement pricing strategies and ensure optimal setup and utilization of AXS Premium Services products
• Collaborate with cross-functional teams (Client Services, Marketing, Data & Analytics) to align pricing, reporting, and go-to-market efforts
• Generate and deliver performance reports, providing data-driven insights and recommendations to clients and internal stakeholders
• Support continuous improvement by identifying product enhancements, surfacing system issues, and contributing to process and tool optimization
• Assist in client onboarding and education, including training on pricing tools, reporting, and premium product capabilities
• Collect key performance and benefit points of AXS Premium Services products and utilize the information to create compelling PowerPoint presentations and one-sheets for potential and current clients.

What You’ll Bring:

• BA/BS Degree (4-year)
• 2+ years of experience in data analysis, pricing, ticketing, finance or a related field (internships included)
• Strong analytical skills with the ability to interpret data and identify trends
• Proficiency in Excel (e.g., formulas, pivot tables); experience with SQL or data visualization tools is a plus
• Interest in pricing strategy, revenue optimization and data-driven-decision-making
• Strong attention to detail and organizational skills
• Ability to manage multiple tasks in a fast-paced environment
• Effective communication skills with the ability to explain insights to a variety of stakeholders
• Experience in live events, ticketing or the entertainment industry is a plus.

Pay Scale: $70,000- $75,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.       

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

*Employer does not offer work visa sponsorship for this position.

What’s in it for You?

• Extraordinary People – we’re not kidding!
• Meaningful Mission– Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Development and Learning – Opportunities for learning and leveling up through training and education reimbursement.
• Community & Belonging – A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

More about AXS

AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment. 

More about AEG

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can't "check every box" in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

We’re an equal opportunity employer and never discriminate based on gender, age, race, religion, color, national origin, sexual orientation, marital status, veteran status, or disability status. 

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

Company Information
For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!

JOB DESCRIPTION:

The Sr. Data Analyst will play a pivotal role in maximizing revenue and driving dynamic pricing strategy across ticketing products and fan segments. Using statistical modeling and machine learning, this role will measure price elasticity, forecast revenue, and predict customer demand. The position will collaborate closely with cross-functional teams, including Sales, Service, Marketing, and Operations, to deploy scalable data science tooling, drive decision-making, and optimize sales.

 ESSENTIAL FUNCTIONS:

• Implement and manage dynamic pricing mechanisms to adjust ticket prices in real-time based on factors such as team performance, opponent strength, and event timing. 
• Utilize models and data analysis to identify pricing trends, optimize ticket prices, and forecast revenue potential for various seating categories. 
• Manage the end-to-end data science lifecycle from model design, development, deployment, maintenance, and model updates.  
• Provide expertise, analysis, and guidance for promotional campaigns, ensuring alignment with overall pricing strategies. 
• Effectively collaborate with business partners to communicate findings and understand key pricing problems and define strategic priorities. 
• Partner closely with the Data Engineering team to structure, validate, and optimize data pipelines and data models for analysis and resolve any data discrepancy. 
• Build and maintain SQL-based views across data warehouses, ensuring suitability for reporting, accuracy, performance, and data integrity. 
• Communicate findings and next steps to leadership. 

SPECIFIC JOB KNOWLEDGE, SKILL AND ABILITY:

The Sr. Data Analyst must possess the following knowledge, skills and abilities and be able to explain and demonstrate that he or she can perform the essential functions of the job, with or without reasonable accommodation, using some other combination of skill and abilities:

QUALIFICATION STANDARDS:

Education:

• BA/BS Degree in mathematics, engineering, physics, or related quantitative field

Experience:

• Bachelor’s degree in mathematics, engineering, physics, or related quantitative field 
• 2+ years’ experience as a data scientist, pricing analyst, data analyst, or equivalent 
• Data Science certification required, master’s degree in data science, statistics, computer science, engineering, economics, analytics or a related quantitative field preferred 
• Expertise in SQL, statistical programming (Python) and Spark 
• Experience working with MLOps workflows and platforms, including Databricks, Azure ML, SageMaker or similar tools is preferred.  
• Rigorous attention-to-detail, keen critical thinking skills, and pragmatic problem-solving mindset 
• Strong statistical knowledge and proven experience developing forecasting, demand prediction, and dynamic pricing models, and driving revenue outcomes in a data-driven, agile organization. 
• Strong communication skills and ability to work with all levels of employees; must be able to communicate technical aspects to non-technical team members 
• Ability to work independently to accomplish work objectives, while also thriving in a team environment 
• Experience or interest in sports/live entertainment a plus 

Payscale: $79,000 - $100,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

Employer does not offer work visa sponsorship for this position.

#LI-LAKings #LI-Onsite

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.  

The Role

The Senior Web Analytics Developer is responsible for providing instrumenting web data collection, ensuring data quality, and then leveraging that data to develop insights that drive data-informed decisions across AXS' web and mobile platforms. This role serves as a key partner to Marketing, Product, and Technology teams by developing tracking frameworks, analyzing site and user behavior, and translating complex data into actionable recommendations that enhance the customer experience and optimize conversion performance. The Senior Web Analytics Developer will lead implementation of analytics tools, oversee tag management, and deliver recurring reporting and ad-hoc analyses to support business goals. 

What Will You Do?

• Architect and lead end to end tagging and tracking strategy across AXS digital properties; develop, build, test, and deploy tags, triggers, and variables through Adobe Data Collection, ensuring accurate and consistent data collection.
• Provide day-to-day management of the data collection integrity, including evaluation, QA, and optimization
• Serve as the primary analytics liaison with internal stakeholders (Product, Marketing, Engineering, Design) to orchestrate data collection to align with business needs in a way that ensures data accuracy and completeness.
• Build data feeds and pipelines out of core collection systems (Adobe Analytics and Rudderstack) and partner with engineering teams to integrate data to downstream systems.
• Own the day-today technical aata Governance & Quality Assurance Audit analytics setup, validate tracking accuracy, and ensure data integrity across all platforms and environments.
• Analyze web and mobile performance metrics using Adobe Analytics, or other digital platforms to identify trends, opportunities, and issues impacting engagement, traffic, and conversion.
• Design and Build data feeds and pipelines as well as maintain dashboards and automated reports that provide actionable insights to leadership, Marketing, and Product teams; develop standardized KPIs and reporting cadence.

What Will You Bring?

• 4-6 years of experience in web, digital, or product analytics, ideally within an e-commerce or B2B environment.
• Hands-on experience with end-to-end Adobe Launch (Experience Platform Data Collection) implementation, including advising on data layer architecture, instrumenting data variables, and developing reporting deliverables.
• Proven experience and/or certification in Adobe Analytics; experience with Google Analytics (GA4) and Google Tag Manager (GTM) a strong plus.
• Extensive experience with JavaScript, HTML, and technical site tagging; demonstrated ability to debug and resolve complex implementation issues.
• Experience with marketing tags, consent management tools (e.g., OneTrust), and global tagging solutions compliant with regional data privacy laws (GDPR, CCPA, etc.).
• Experience tracking mobile app KPIs for iOS and Android environments.
• Prior exposure to BI, data visualization, and reporting tools such as Looker, Tableau, or Power BI.
• Intermediate to advanced SQL proficiency preferred.
• Deep technical understanding of web and app analytics, site tagging, and data capture frameworks.
• Strong knowledge of e-commerce KPIs and behavioral analytics across customer journeys.
• Ability to synthesize complex data and present actionable insights to both technical and non-technical audiences.
• Strong written and verbal communication skills with internal stakeholders and external clients.
• Self-motivated and creative problem-solver with the ability to manage multiple priorities in a fast-paced environment.
• Collaborative team player with a “hack, test, and learn” mentality and a passion for continuous improvement.
• Music, live entertainment, or ticketing industry experience highly desirable.

Bonus points if You Have

• Familiarity with email marketing platforms such as Salesforce Marketing Cloud a plus.

Pay Scale: $111,657.00 - $157,405.00

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. Currently, full time employees are eligible for these benefits on the first day of employment.

*Employer does not offer work visa sponsorship for this position.

What’s in it for You?

• Extraordinary People – we’re not kidding!
• Meaningful Mission– Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Development and Learning – Opportunities for learning and leveling up through training and education reimbursement.
• Community & Belonging – A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace

 More about AXS

AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment. 

More about AEG

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can't "check every box" in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

 #LI-Hybrid

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.  

The Role

• Design and build new features and enhancements for our global ticketing platforms.
• Optimize for performance in scaling out our applications to handle massive spikes in traffic
• Create services that power the core of our infrastructure, implementing APIs and features for our mission critical back-end products.
• Optimize throughput and dynamically scale our distributed systems to handle traffic and requests in varying from the tens to hundreds of thousands.
• Design and develop scalable, public-facing APIs that enable scalable and robust integration with partner platforms.
• Work closely with other engineers, architects, business analysts, and product managers to create innovative solutions that continue to push the boundaries of our business.
• Participate in design and code reviews to ensure best practices and high-quality code.
• Develop consistent, well tested code on Open Source Programming Languages and Frameworks.
• Work on implementing and developing the latest security measures to fight against fraud and malicious bot attacks

• Have a direct impact on our applications that can scale and handle high demand, as well as complex enterprise systems that meet our global needs.
• Extraordinary People – we’re not kidding!
• Meaningful Mission - Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Opportunities for learning and leveling up through training and education reimbursement.

More about AXS

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.  

The Role

AXS is seeking a Senior Software Architect to shape the foundation of our next-generation ticketing platforms and experiences. As a key member of our global architecture team, you'll set the vision for systems that power millions of transactions worldwide—designing solutions that are not only robust and scalable, but transformative for fans and clients alike. This is a role for a strategic thinker who thrives on tackling complexity, working across diverse tools, languages, and platforms to bring clarity and cohesion to our technology landscape. You'll collaborate with teams across engineering, product, and business to ensure that every system we build aligns to a bold, forward-looking technical strategy. Above all, you'll help chart the course for the future of live entertainment technology—creating architectures that are elegant, enduring, and built to inspire.

What Will You Do?

• Own architecture responsibilities and collaborate with senior architects and engineers to establish holistic enterprise architecture.
• Perform architectural and code reviews for applications and ticketing systems.
• Translate product and business requirements into scalable architectural designs aligned with broader strategic goals.
• Guide engineering teams through development lifecycles to ensure implementation of best practices and scalable frameworks.
• Architect enterprise-level solutions for internal systems and external partner integrations.
• Evaluate emerging technologies and propose improvements to drive high-performance, reliable applications.
• Define architectural roadmaps and drive consensus across engineering and product teams.
• Mentor engineers and evangelize technology best practices across teams.
• Balance strategic system-wide design with hands-on technical execution.
• Reinforce sound decision-making and adherence to high standards in technical design and code quality.
• Support end-to-end delivery of projects and technical initiatives.
• Stay ahead of industry trends through research, learning, and prototyping of emerging technologies.

What Will You Bring?

• 5+ years of experience architecting and delivering software solutions and platforms.
• Experience with React.js and TypeScript is a plus.
• Experience with streaming platforms and event-driven architecture (e.g., Kafka).
• Experience with infrastructure and cloud technologies (Terraform, AWS, Kubernetes).
• Strong foundation in application architecture with understanding of front-end and back-end systems.
• Expertise in service-oriented architecture and web services.
• Proven experience building large-scale, high-performance transactional systems.
• Proficiency in backend development with .NET and Node.js.
• Skilled in working with relational databases (PostgreSQL, MySQL, Oracle, Microsoft SQL Server).
• Familiarity with NoSQL and search platforms (e.g., Elasticsearch, OpenSearch, DynamoDB, Redis).
• Strong knowledge of application security best practices.

Pay Scale: $165000 - $180,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

What’s in it for You?

• Extraordinary People – we’re not kidding!
• Meaningful Mission– Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Development and Learning – Opportunities for learning and leveling up through training and education reimbursement.
• Community & Belonging – A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.

• Stage 1: 20-30 preliminary interview 
• Stage:2: 45-min Hiring Manager Interview 
• Stage 3: 30-min open discussion interview 
• Stage 4: 90-min technical interview  
• Stage 5: 30-min Executive Interview  

*Employer does not offer work visa sponsorship for this position.
 
*There will be an in-person onsite component as part of our interview process.  

More about AXS

AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment. 

To learn more about our culture and values, visit: https://solutions.axs.com/careers/

More about AEG

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

We are dedicated to a diverse, inclusive and authentic workplace, so if you’re excited about this role but can't "check every box" in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.

AEG's policy is to hire the most qualified applicants.  We are an equal opportunity employer and will not discriminate against any individual, employee, or application for employment on the basis of race, color, marital status, religion, age, sex, sexual orientation, national origin, or any other legally protected status recognized by federal, state or local law.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

 #LI-Hybrid

Company Information
For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!

Job Summary

The Sr Data Analyst must have a honed skill for choosing the right lens through which to best explain the relevance of a given data set and its relationship to business goals. The Sr Data Analyst will figure out the best way to visualize their findings and explore new ways to express them. The incumbent will be able to distill a great body of work into an illuminating image.

Essential Functions

• Analyze customer behavior and engagement signals across all channels and touchpoints to provide key business insights; identify macro and micro indicators.
• Visualize key metrics on an ongoing basis to succinctly communicate out to marketing, executive team and key stakeholders.
• Own analytic toolset from an implementation and maintenance standpoint, including, but not limited to: adding data sources / pipelines, iterating reports, and exploring new functionality and technologies.
• Collaborate with cross-functional groups including Product, Media, Talent Buying, and Marketing to identify trends and key opportunities.
• Develop quantitative analysis, ad hoc reports, models, and suggest A/B tests to challenge assumptions or ratify strategies.
• Conduct ad hoc analysis to provide guidance for stakeholders in order to make informed decisions.
• Create, monitor and maintain automated report inventory.
• Identify anomalies in the data to help trouble-shoot issues like data integrity, missing fields, broken data and UX flows, etc.

Required Qualifications

• BA/BS Degree (4-year)
• 4-6 years Of related work experience
• Experience with email marketing software a plus
• Experience working with relational databases and SQL query languages
• Familiar with statistical models and advanced data analytics skills
• Highly adaptable, motivated, proactive problem-solver
• Proven history of decision-making excellence and cross-functional influence through insights
• Proficient with Microsoft Office Suite (Outlook, Excel, Word, PowerPoint); and ability to learn all required business systems.
• Power user of Excel and Tableau, or comparable analysis, reporting tool
• Familiar with Java, no-SQL architectures, R, experience with Python is a plus
• Comfortable adopting new technologies and eager to understand how to effectively wield new tools

Payscale: $96,611-$97,500

Bonus:  This position is not eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

Employer does not offer work visa sponsorship for this position.

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.  

The Role

The Sr Business Intelligence Analyst will contribute to a growing team as we scale those offerings and continue to build meaningful data insights for the business. This role will work directly with AXS data leadership as well as clients and partners in the US and abroad (Europe and Japan).

What Will You Do?

• Leverage strong analysis competencies to drive business insights across AXS through SQL, Looker as well as Google & Adobe Analytics.
• Develop ongoing performance reporting for management in all operational areas of the business and distribute reports as needed.   Provide in-depth analysis of web analytics & marketing data and summarize findings with recommendations.
• Mentor junior team members as it relates to analysis best practices
• Contribute strong analyses to the creation of business insights & recap presentations
• Monitor data sources & ensure the accuracy of data for reporting purposes
• Drive complex problems through to solutions.
• Work across functions in the organization and with clients and partners to understand and address their data & analysis needs.
• Build LookML models & Looker dashboards to communicate insights.