WHAT MAKES US EPIC?

At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.

Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.

PROGRAMMING - GAMES

What We Do

Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We’re always improving on the tools and technology that empower content developers worldwide.

What You'll Do

We are seeking an experienced Lead Gameplay Programmer to direct gameplay teams within Rocket League. They will be responsible for leading the gameplay programming team and collaborating and iterating with gameplay programmers, game designers, producers, and artists. They will play a critical role in feature development for Rocket League.

In this role, you will

• Manage a team of seasoned gameplay programmers and be the primary hub of communication and information for other disciplines
• Distill high-level feature requests into meaningful, actionable work items and delegate effectively to the team
• Deliver core gameplay features efficiently and on time, and speak up when the team is overor under-scoped
• Lead the vision for different gameplay systems and features and write code and do system design as needed
• Propose and review technical design, systems, and technical approaches to ensure that they satisfy requirements and promote a healthy codebase
• Work closely with art and design leads to ensure gameplay mechanics meet functional requirements and uphold our high standards
• Work closely with other programming disciplines to integrate systems in support of the player experience

What we're looking for

• Experience developing gameplay physics systems (simulation, collision, character/vehicle physics, etc.)
• Experience with network replication systems (client-server prediction, state synchronization, lag compensation)
• Proven track record delivering live-service games or AAA MMO titles built on Unreal Engine
• Proven leadership experience managing high-performing programming teams on shipped AAA titles
• Strong C++ skills and the ability to code and design gameplay mechanics and tools
• Strong analytical and creative problem-solving skills, as well as the ability to collaborate and communicate to work cross-functionally and give/receive constructive feedback
• Experience using AI coding assistants (e.g., Claude Code) to improve development efficiency and streamline programming workflows

This role is open to multiple locations in North America (including CA & WA).

Pay Transparency Information

The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs).

California Base Pay Range
$190,010-$278,682 USD
Washington Base Pay Range
$172,736-$253,347 USD

ABOUT US

Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.

Like what you hear? Come be a part of something Epic!

Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.

Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

About DataVisor

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Summary

As part of the Platform Engineering team, you will help build DataVisor’s next-generation machine learning platform, combining our proprietary unsupervised machine learning technology with supervised machine learning algorithms to power real-time fraud detection at scale.

As fraud attacks become increasingly sophisticated, real-time detection is more critical than ever. Our platform team is responsible for designing and developing the architecture that makes scalable, real-time detection possible, including streaming systems, storage layers, and training pipelines that support our core detection capabilities.

We are looking for a creative, hands-on engineering leader to help expand our streaming and database systems, improve our core detection algorithms, and automate the end-to-end training process. This role is ideal for someone who enjoys solving complex distributed systems problems, mentoring engineers, and driving technical execution in a high-impact environment.

Join us as we continue to push the boundaries of fraud detection, machine learning infrastructure, and large-scale data processing.

What You’ll Do

• Own the technical direction of the real-time detection platform, including streaming, storage, and the training pipelines that support it.
• Translate product and engineering roadmaps into clear technical plans, milestones, and execution priorities.
• Proactively identify technical risks, dependencies, and trade-offs before they impact delivery.
• Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
• Stay hands-on by coding, reviewing code, debugging issues, and supporting the team during production incidents.
• Mentor engineers and raise the bar for system design, code quality, operational excellence, and technical execution.
• Own the operational health of the platform, including alert quality, on-call load, incident follow-through, and root-cause prevention.
• Partner directly with Product, TAM, and customer-facing teams on customer-impacting issues, ensuring clear impact assessment, prioritization, ownership, and next steps.
• Define how the team uses AI agents and AI-assisted tools in engineering workflows, including verification standards and safe usage practices.
• Build, evaluate, and improve LLM- and agent-assisted tools for engineering and operations use cases, such as triage, root-cause analysis, alert summarization, and evaluation harnesses.

Requirements

• 8+ years of software development experience.

• 2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
• Proven ability to lead technical outcomes across a team, including work you did not personally implement.
• Deep production experience with Java, along with working proficiency in Python and Shell scripting.
• Experience designing, building, shipping, and operating distributed real-time systems at scale.
• Strong knowledge of computer systems, relational databases, and SQL.
• Experience building and optimizing multithreaded and concurrent applications.
• Hands-on experience with Cassandra, Yugabyte, Flink, Spark, or Kafka.
• Experience with the Spring Framework.
• Demonstrated use of AI coding tools such as Claude Code, Cursor, GitHub Copilot, or similar tools in real production work.
• Ability to set team-level standards for AI-assisted engineering, including how tools are used, how outputs are verified, and when AI-generated suggestions should be rejected.
• Strong verification discipline, with the ability to validate model outputs against source code, logs, documentation, and production behavior.
• Bachelor’s degree in Computer Science or a related field is required.

Preferred Qualifications

• Experience in fraud, risk, payments, financial services, or another domain where false negatives carry significant business or customer impact.
• Experience owning ML platforms or large-scale training pipelines.
• Experience with Kubernetes.
• Experience building with LLM APIs, agent frameworks, tool calling, RAG, or MCP.
• Experience writing evaluations or regression tests for non-deterministic systems.
• Experience hiring, managing, or mentoring engineers.
• Experience with test-driven development.

Benefits

• Base salary range: �90,000–120,000, commensurate with experience.
• Health insurance, PTO, Equity.

About DataVisor

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview

We are looking for a Senior-Level Data Scientist to join our Fraud Detection team — someone equally comfortable building production ML models and getting hands-on with individual fraud cases. This is a dual-track role: you'll develop the machine learning systems that catch fraud at scale, and you'll personally lead investigations into how specific fraud attacks happened, reconstructing attacker behavior and turning case-level findings into trend reports and detection improvements. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real, visible impact in the fight against fraud.

Key Responsibilities

Machine Learning & Model Development

• End-to-End Model Development: Lead the full lifecycle of fraud detection features and models, from ideation and data exploration to prototyping, productionizing, and monitoring.
• Advanced Feature Engineering: Develop highly predictive features from complex, large-scale, multi-dimensional data, including user behavior, device intelligence, network graphs, and transaction records.
• Large-Scale Data Processing: Work with massive, noisy, and imbalanced datasets (billions of events) using tools like Spark, SQL, and our proprietary AI platform.
• Agentic AI & Automation: Leverage agentic AI to automate analytic pipelines and develop reusable skill tools that accelerate fraud investigation, feature generation, and reporting workflows.

Live Fraud Investigation & Reporting

• Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces. Reconstruct attacker sequences and hypothesize actor intent and tooling.
• Produce clear, evidence-backed technical reports and case studies for product, engineering, operations, legal, and executive stakeholders.
• Generate fraud trend reports for customers, synthesizing case-level findings and aggregate data into narratives customers can act on.

Requirements

Qualifications

Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.

• 3+ years of applied experience in fraud detection, cybersecurity, or a related adversarial/high-velocity risk domain (fintech, consumer payments, banking, SaaS, marketplace risk, or security research).
• Solid understanding of both classic machine learning models (Logistic Regression, Gradient Boosting, etc.).
• Hands-on experience with the machine learning lifecycle in a production environment.
• Investigator mindset: demonstrated skill in pattern synthesis, hypothesis testing, and triaging signal from noise in ambiguous, adversarial cases — not just building and monitoring models.
• Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.
• Experience with large-scale data tools (Spark, Hadoop, etc.) and cloud platforms (AWS, GCP, Azure).
• Excellent communication skills — able to explain complex, ambiguous, or technical behavior clearly to both technical and non-technical audiences, including customers and executives.
• Professional proficiency in written and spoken English, with the ability to collaborate effectively in a global, cross-functional team.

Benefits

• Base salary range: $140,000–$170,000, commensurate with experience.
• PTO, Stock Options, Health Benefits

About DataVisor

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Summary

As part of the Platform Engineering team, you will help build DataVisor’s next-generation machine learning platform, combining our proprietary unsupervised machine learning technology with supervised machine learning algorithms to power real-time fraud detection at scale.

As fraud attacks become increasingly sophisticated, real-time detection is more critical than ever. Our platform team is responsible for designing and developing the architecture that makes scalable, real-time detection possible, including streaming systems, storage layers, and training pipelines that support our core detection capabilities.

We are looking for a creative, hands-on engineering leader to help expand our streaming and database systems, improve our core detection algorithms, and automate the end-to-end training process. This role is ideal for someone who enjoys solving complex distributed systems problems, mentoring engineers, and driving technical execution in a high-impact environment.

Join us as we continue to push the boundaries of fraud detection, machine learning infrastructure, and large-scale data processing.

What You’ll Do

• Own the technical direction of the real-time detection platform, including streaming, storage, and the training pipelines that support it.
• Translate product and engineering roadmaps into clear technical plans, milestones, and execution priorities.
• Proactively identify technical risks, dependencies, and trade-offs before they impact delivery.
• Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
• Stay hands-on by coding, reviewing code, debugging issues, and supporting the team during production incidents.
• Mentor engineers and raise the bar for system design, code quality, operational excellence, and technical execution.
• Own the operational health of the platform, including alert quality, on-call load, incident follow-through, and root-cause prevention.
• Partner directly with Product, TAM, and customer-facing teams on customer-impacting issues, ensuring clear impact assessment, prioritization, ownership, and next steps.
• Define how the team uses AI agents and AI-assisted tools in engineering workflows, including verification standards and safe usage practices.
• Build, evaluate, and improve LLM- and agent-assisted tools for engineering and operations use cases, such as triage, root-cause analysis, alert summarization, and evaluation harnesses.

Requirements

• 8+ years of software development experience.

• 2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
• Proven ability to lead technical outcomes across a team, including work you did not personally implement.
• Deep production experience with Java, along with working proficiency in Python and Shell scripting.
• Experience designing, building, shipping, and operating distributed real-time systems at scale.
• Strong knowledge of computer systems, relational databases, and SQL.
• Experience building and optimizing multithreaded and concurrent applications.
• Hands-on experience with Cassandra, Yugabyte, Flink, Spark, or Kafka.
• Experience with the Spring Framework.
• Demonstrated use of AI coding tools such as Claude Code, Cursor, GitHub Copilot, or similar tools in real production work.
• Ability to set team-level standards for AI-assisted engineering, including how tools are used, how outputs are verified, and when AI-generated suggestions should be rejected.
• Strong verification discipline, with the ability to validate model outputs against source code, logs, documentation, and production behavior.
• Bachelor’s degree in Computer Science or a related field is required.

Preferred Qualifications

• Experience in fraud, risk, payments, financial services, or another domain where false negatives carry significant business or customer impact.
• Experience owning ML platforms or large-scale training pipelines.
• Experience with Kubernetes.
• Experience building with LLM APIs, agent frameworks, tool calling, RAG, or MCP.
• Experience writing evaluations or regression tests for non-deterministic systems.
• Experience hiring, managing, or mentoring engineers.
• Experience with test-driven development.

Benefits

• Base salary range: $130,000–$170,000, commensurate with experience.
• Health insurance, PTO, Equity.

About DataVisor

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Summary

As part of the Platform Engineering team, you will help build DataVisor’s next-generation machine learning platform, combining our proprietary unsupervised machine learning technology with supervised machine learning algorithms to power real-time fraud detection at scale.

As fraud attacks become increasingly sophisticated, real-time detection is more critical than ever. Our platform team is responsible for designing and developing the architecture that makes scalable, real-time detection possible, including streaming systems, storage layers, and training pipelines that support our core detection capabilities.

We are looking for a creative, hands-on engineering leader to help expand our streaming and database systems, improve our core detection algorithms, and automate the end-to-end training process. This role is ideal for someone who enjoys solving complex distributed systems problems, mentoring engineers, and driving technical execution in a high-impact environment.

Join us as we continue to push the boundaries of fraud detection, machine learning infrastructure, and large-scale data processing.

What You’ll Do

• Own the technical direction of the real-time detection platform, including streaming, storage, and the training pipelines that support it.
• Translate product and engineering roadmaps into clear technical plans, milestones, and execution priorities.
• Proactively identify technical risks, dependencies, and trade-offs before they impact delivery.
• Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions.
• Stay hands-on by coding, reviewing code, debugging issues, and supporting the team during production incidents.
• Mentor engineers and raise the bar for system design, code quality, operational excellence, and technical execution.
• Own the operational health of the platform, including alert quality, on-call load, incident follow-through, and root-cause prevention.
• Partner directly with Product, TAM, and customer-facing teams on customer-impacting issues, ensuring clear impact assessment, prioritization, ownership, and next steps.
• Define how the team uses AI agents and AI-assisted tools in engineering workflows, including verification standards and safe usage practices.
• Build, evaluate, and improve LLM- and agent-assisted tools for engineering and operations use cases, such as triage, root-cause analysis, alert summarization, and evaluation harnesses.

Requirements

• 8+ years of software development experience.

• 2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role.
• Proven ability to lead technical outcomes across a team, including work you did not personally implement.
• Deep production experience with Java, along with working proficiency in Python and Shell scripting.
• Experience designing, building, shipping, and operating distributed real-time systems at scale.
• Strong knowledge of computer systems, relational databases, and SQL.
• Experience building and optimizing multithreaded and concurrent applications.
• Hands-on experience with Cassandra, Yugabyte, Flink, Spark, or Kafka.
• Experience with the Spring Framework.
• Demonstrated use of AI coding tools such as Claude Code, Cursor, GitHub Copilot, or similar tools in real production work.
• Ability to set team-level standards for AI-assisted engineering, including how tools are used, how outputs are verified, and when AI-generated suggestions should be rejected.
• Strong verification discipline, with the ability to validate model outputs against source code, logs, documentation, and production behavior.
• Bachelor’s degree in Computer Science or a related field is required.

Preferred Qualifications

• Experience in fraud, risk, payments, financial services, or another domain where false negatives carry significant business or customer impact.
• Experience owning ML platforms or large-scale training pipelines.
• Experience with Kubernetes.
• Experience building with LLM APIs, agent frameworks, tool calling, RAG, or MCP.
• Experience writing evaluations or regression tests for non-deterministic systems.
• Experience hiring, managing, or mentoring engineers.
• Experience with test-driven development.

Benefits

• Base salary range: $170,000–$220,000, commensurate with experience.
• Health insurance, 401(k), PTO, Equity.

About DataVisor

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview

We are looking for a Senior-Level Data Scientist to join our Fraud Detection team — someone equally comfortable building production ML models and getting hands-on with individual fraud cases. This is a dual-track role: you'll develop the machine learning systems that catch fraud at scale, and you'll personally lead investigations into how specific fraud attacks happened, reconstructing attacker behavior and turning case-level findings into trend reports and detection improvements. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real, visible impact in the fight against fraud.

Key Responsibilities

Machine Learning & Model Development

• End-to-End Model Development: Lead the full lifecycle of fraud detection features and models, from ideation and data exploration to prototyping, productionizing, and monitoring.
• Advanced Feature Engineering: Develop highly predictive features from complex, large-scale, multi-dimensional data, including user behavior, device intelligence, network graphs, and transaction records.
• Large-Scale Data Processing: Work with massive, noisy, and imbalanced datasets (billions of events) using tools like Spark, SQL, and our proprietary AI platform.
• Agentic AI & Automation: Leverage agentic AI to automate analytic pipelines and develop reusable skill tools that accelerate fraud investigation, feature generation, and reporting workflows.

Live Fraud Investigation & Reporting

• Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces. Reconstruct attacker sequences and hypothesize actor intent and tooling.
• Produce clear, evidence-backed technical reports and case studies for product, engineering, operations, legal, and executive stakeholders.
• Generate fraud trend reports for customers, synthesizing case-level findings and aggregate data into narratives customers can act on.

Requirements

Qualifications

Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.

• 3+ years of applied experience in fraud detection, cybersecurity, or a related adversarial/high-velocity risk domain (fintech, consumer payments, banking, SaaS, marketplace risk, or security research).
• Solid understanding of both classic machine learning models (Logistic Regression, Gradient Boosting, etc.).
• Hands-on experience with the machine learning lifecycle in a production environment.
• Investigator mindset: demonstrated skill in pattern synthesis, hypothesis testing, and triaging signal from noise in ambiguous, adversarial cases — not just building and monitoring models.
• Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.
• Experience with large-scale data tools (Spark, Hadoop, etc.) and cloud platforms (AWS, GCP, Azure).
• Excellent communication skills — able to explain complex, ambiguous, or technical behavior clearly to both technical and non-technical audiences, including customers and executives.
• Professional proficiency in written and spoken English, with the ability to collaborate effectively in a global, cross-functional team.

Benefits

• Base salary range: $120,000–$150,000, commensurate with experience.
• PTO, Stock Options, Health Benefits

Azumo is looking for a highly motivated AI-Powered Marketing Specialist to join our marketing team and help grow the Azumo brand and business.

We are looking for someone who is hands-on, creative, curious, and already uses tools such as ChatGPT, Claude, and other AI platforms as part of their daily work.

This is a practical, execution-focused role covering content, social media, AI search visibility, marketing analytics, and marketing operations. You will use AI throughout your workflow to research, create, design, analyze, automate, and improve marketing initiatives.

Your focus will be Azumo. You will learn about our business, customers, services, and market and use that knowledge to expand our reach, strengthen our brand, and generate new opportunities.

You will work closely with the marketing, sales, and leadership teams and have access to leading paid AI, marketing, content, analytics, and creative tools.

What We’re Looking For

We care about how you work, not just which tools you have used.

We want someone who can take an idea and turn it into something real. You should be comfortable researching a topic, creating the content and visuals, publishing or launching the work, measuring the results, and improving the next iteration.

AI should already be a natural part of that process for you.

At the same time, we are not looking for someone who simply generates content and publishes it. Strong judgment, creativity, attention to quality, and an understanding of the audience are essential.

Why Join Azumo?

Azumo offers an opportunity to build your marketing career inside a technology company where AI is part of the everyday work.

You will have the opportunity to:

• Access leading paid AI, marketing, analytics, content, and creative tools.
• Work across social media, content, analytics, GEO/AEO, and emerging AI marketing channels.
• Experiment with new tools and approaches in real marketing initiatives.
• Focus on growing one company and one brand: Azumo.
• Work closely with experienced team members and company leadership.
• Take ownership of projects and see the direct impact of your work.
• Receive training and mentored career development.
• Develop skills in emerging areas of marketing as AI changes how people search, discover, and evaluate companies.

Responsibilities

As part of the Azumo marketing team, you will:

• Use ChatGPT, Claude, and other AI tools daily for research, content creation, creative development, analysis, and marketing operations.
• Create and repurpose content for LinkedIn and other social media channels, including posts, graphics, carousels, and short-form content.
• Create AI-generated images, videos, and other visual content using modern AI creative tools.
• Develop and improve articles, case studies, newsletters, presentations, one-pagers, landing pages, and other marketing assets.
• Implement GEO and AEO strategies to improve Azumo’s visibility in AI-powered search platforms such as ChatGPT, Claude, Gemini, and Perplexity.
• Monitor how Azumo and its competitors appear across traditional and AI search, identify content gaps, and turn those insights into actionable content improvements.
• Use AI and analytics tools to build recurring reports covering traffic, social media, campaigns, leads, conversions, AI search visibility, and other relevant marketing KPIs.
• Identify opportunities to automate repetitive marketing tasks and improve existing workflows.
• Help maintain and update Azumo’s website when needed.
• Support other marketing initiatives in collaboration with the marketing, sales, and leadership teams.

About Azumo

Based in San Francisco, California, Azumo is a software development company helping organizations build intelligent applications using modern technologies in AI, data, cloud, web, and mobile.

We work with organizations around the world and believe that great talent can come from anywhere.

If you are excited about marketing, already use AI as part of how you work, and want the opportunity to learn quickly and have a measurable impact on a growing technology company, we’d like to hear from you.

Requirements

Mandatory Qualifications

Expert-level English proficiency, both written and conversational

• Strong, well-rounded understanding of marketing language, principles and strategy.
• Demonstrated ability to connect marketing activities to business objectives and understand how different marketing channels work together.
• Demonstrable experience using ChatGPT, Claude, or similar generative AI tools for research, content creation, design, video production, analysis and marketing operations.
• Experience creating content for LinkedIn and other social media channels, such as Instagram, TikTok, Facebook, X, Reddit, or similar platforms.
• Understanding of GEO, AEO, SEO, and AI search visibility.
• Comfortable working with marketing data, KPIs, reporting, and performance analysis.
• Ability to work independently, manage priorities, and take ownership of projects in a remote environment.
• Strong judgment, creativity, attention to detail, and the ability to improve AI-generated work before publication.
• Ability to evaluate marketing ideas critically and distinguish between activity, engagement, and meaningful business impact.

Other Qualifications

• Working experience with HubSpot Marketing Hub.
• Experience with paid advertising, including Google Ads, Meta Ads, Bing Ads, or emerging AI advertising platforms.
• Experience with Webflow or a similar website content management system.
• Experience with Google Analytics, Google Search Console, Webmaster Tools and similar analytics platforms.
• Experience creating AI-assisted workflows or marketing automations.

Benefits

The AI-Powered Marketing Specialist will work remotely. Compensation will be commensurate with experience and candidate potential.

Company benefits include:

• Paid time off
• 100% remote-first culture (work anywhere in Latin America)
• U.S. Holidays
• Training
• Mentored career development
• USD remuneration
• Profit Share Program
• Access to premium AI and marketing tools
• Maternity coverage

At Azumo, we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and aim to help each person achieve their goals while at Azumo and beyond.

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games.

This position is temporary and US-based only.

Discord's Talent team is seeking a strategic Technical Sourcer to support our most complex engineering roles by activating passive candidates. In this role, you'll partner directly with engineering leadership to conduct market intelligence, size talent pools, and execute sophisticated sourcing strategies for hard-to-fill technical roles.

You'll be responsible for translating technical requirements into targeted sourcing approaches, building robust candidate pipelines through deep market analysis and personalized outreach, and serving as a trusted advisor on talent availability and competitive dynamics. Success in this role requires a consultative mindset, strong analytical capabilities, and proven expertise in activating passive talent in highly constrained technical markets.

Key Responsibilities:

• Partner strategically with hiring managers and technical leaders to deeply understand role requirements, technical stack nuances, team dynamics, and ideal candidate profiles, translating technical requirements into effective sourcing criteria.
• Conduct comprehensive total addressable market (TAM) research to size talent pools, identify hiring feasibility, and inform realistic hiring timelines for niche technical roles.
• Develop detailed job mapping strategies by analyzing competitor organizations, identifying companies with relevant technical stacks, and creating target account lists that align with Discord's technical architecture and culture
• Build and execute customized sourcing strategies for each requisition, leveraging boolean search, x-ray techniques, github sourcing, and competitive intelligence to uncover and activate passive talent in highly specialized areas
• Identify and engage talent in their respective fields, and partner with our recruiters and technical leaders to scale and optimize our teams
• Craft highly personalized, compelling outreach campaigns that articulate Discord's unique technical challenges and demonstrate genuine understanding of candidates' work, engaging even the most passive senior, staff-level engineers, and engineering leaders.
• Own candidate experience from initial outreach through recruiter handoff, maintaining consistent communication, setting clear expectations, and ensuring smooth transitions that reflect Discord's candidate-first approach.
• Represent Discord's brand at company events, technical conferences, meetups, and industry events, building long-term relationships and nurturing talent communities for sustained pipeline development
• Practice strong data hygiene across our recruiting systems and maintain rigorous pipeline health metrics, including interested response rates, activation rate, next step pass-through rate, and source effectiveness, using data to continuously optimize sourcing approaches and demonstrate ROI.

Must Haves:

• 5+ years of experience in technical sourcing or recruitment, preferably in a high-growth tech company environment, on job profiles such as distributed systems and product engineering.
• Demonstrated success hiring senior, staff, principal-level engineers, and engineering managers in competitive, constrained talent markets
• Strong technical aptitude with the ability to understand complex engineering roles, evaluate technical qualifications, and effectively translate technical requirements into sourcing signals and candidate evaluation criteria
• Expert-level proficiency with boolean search techniques and advanced sourcing methods, including x-ray searches, GitHub/repository mining, conference/publication tracking, and creative talent identification strategies beyond traditional platforms
• Proficiency with modern sourcing tools and platforms, including SeekOut, Gem, LinkedIn Recruiter, GitHub, and applicant tracking systems (Greenhouse), and experimenting with AI tooling.
• Expertise in market mapping and talent pool analysis, with the ability to size addressable markets, assess hiring feasibility, identify capability gaps, and provide data-backed insights on competitive talent dynamics to inform hiring strategy.
• Excellent stakeholder management and communication skills, with demonstrated ability to build trust and influence technical hiring managers, interview teams, and senior leadership through structured insights and consultative partnership
• Strong pipeline management capabilities with the ability to rigorously prioritize and balance multiple requisitions at varying stages simultaneously in fast-paced, dynamic environments
• A proven track record of successfully sourcing candidates in areas such as developers, full-stack engineers, and feature development
• Data-driven mindset with ability to track, analyze, and report on key sourcing metrics (interested response rates, activation rates, conversion ratios, source effectiveness) and translate insights into actionable strategy adjustments

The US base salary range for this temporary full-time position is $132,000 to $149,000 + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and, do not include benefits.

#LI-Remote

Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!

Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.

Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

The Partner Sales Sr. Director is responsible for developing and executing the company’s global partner strategy. The position reports to the VP of Global Sales and is a direct manager to regional Partner Sales Managers who reports to him/her. Key measurements of success will be indirect sales bookings, new logo acquisition, partner-generated leads, new partners recruitment per company strategy, certification, and quality.

How will you make an impact?

The role will oversee the end-to-end partnership including all types of partners (resellers, SI, consulting&) relationships, building the Actimize offering to partners, marketing/GTM approach and general thought leadership. There are three key components of this role:

• Business Partner Program
• Develop and manage the Business Partner Program Globally.
• Work across functional teams such as, marketing, product, professional services, and sales, to identify, recruit and enable partners to support the go to market plan.
• Provide operational support, partner marketing and lead management through business partners.
• Reseller & Implementation Partners
• Align with the regional sales and indirect sales of NiCE Actimize solutions through local reseller partners in the various regions
• Strategize, plan and execute joint marketing campaigns with global and local reseller partners.
• Identify and structure proposals for recruiting solution resellers
• Strategic Alliances
• Alliance management of a select number of strategic Global partners.
• Build innovative new partnering models.

Have you got what it takes?

• 12-15+ years of Partner Sales experience from companies.
• Demonstrated success recruiting, developing, and selling technology solutions through partners/SI alliances for at least five years on a global level.
• Demonstrated success in managing partners program of a technology company.
• Demonstrated success with formulating and executing Go To Market strategies in global and local regions
• Direct/field sales experiences in financial solutions
• Experience working with senior leaders, establishing credibility, and building trust
• Experiences in working with people across diverse geographies/cultures.
• Ability to work through ambiguity and be focused on the business objectives.
• Excellent presentation and communication skills are required.
• Must be willing to travel.

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

About NiCE Actimize:

NiCE Actimize is the largest and broadest provider of financial crime, risk, and compliance solutions for regional and global financial institutions, as well as government regulators. Consistently ranked as number one in the space, NiCE Actimize experts apply innovative technology to protect institutions and safeguard consumers’ and investors’ assets by identifying financial crime, preventing fraud, and providing regulatory compliance.

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

This is a remote role that may be performed from any U.S. State except California, Connecticut, New Jersey, New York, and Washington.

Why this role is on the menu

The Billing Operations Associate owns the end-to-end billing lifecycle across Instacart's retail partner portfolio, ensuring accurate invoicing, timely month-end close, and compliance with financial controls.



The ideal candidate thrives in a fast-paced operational environment, takes ownership of their work, and is committed to delivering high-quality, accurate results consistently.

What you'll cook up in your first year

• Monthly billing cycles are executed accurately and on time, with invoices calculated, generated, and delivered via email and third-party portals such as Ariba.
• Credit memos, debit memos, and refunds are processed in accordance with approved requests.
• Oracle workbooks are built and maintained for new and amended contracts.
• Commercial contracts are reviewed to identify billing requirements, with billing language validated with senior team members as needed.
• Peer reviews of invoice calculations are completed to ensure accuracy and adherence to contract terms.
• Billing inquiries are responded to promptly, with complex disputes escalated appropriately.
• Audit requests are supported and ad hoc projects are completed accurately and on time.
• Established SOPs and internal controls are followed to ensure consistent and compliant billing operations.

The secret ingredients we're looking for

Must-have pantry staples (Minimum Qualifications)

• 2+ years of experience in billing operations, accounts receivable, order-to-cash, or a similar role, preferably in a a B2B tech, marketplace, or SaaS environment
• Foundational understanding of invoicing processes, ERP workflows, and AR fundamentals
• Strong attention to detail with the ability to manage high-volume workloads accurately
• Expert proficiency with spreadsheets (Google Sheets, Microsoft Excel)
• Familiarity with Oracle or similar ERP systems
• Familiarity with Salesforce or similar CRM
• Clear and professional communication skills with the ability to work cross-functionally
• Ability to follow defined processes and controls while knowing when to escalate
• Self-starter who takes ownership and delivers on commitments

Optional garnishes (Preferred Qualifications)

• Experience with BI or data tools such as Alteryx or SQL
• Experience or aptitude to leverage AI tooling to augment or automate processes
• Familiarity with marketplace, subscription, or advertising billing models
• Exposure to working with Finance, Legal, or Sales teams in a cross-functional capacity

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN
$72,000-$76,000 USD

ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE The Ramp Travel team builds the travel booking and management platform built-in to Ramp. We build the capabilities that allows travelers to stay productive on the road: flight and hotel search, booking and checkout, our agentic travel assistant, and on-the-go mobile trip guidance. We also own the capabilities that ensure companies are spending their travel dollars effectively: travel policy evaluation, supplier and TMC integrations and benchmarking, and data insights. Growing the sophistication and global reach of the Travel product is a top strategic priority at Ramp. The work this team does directly enables Ramp to to support some of the largest and most interesting customers in the world. WHAT YOU’LL DO - Lead, mentor, coach, and grow the Ramp Travel engineering team (~6 engineers today). - Own delivery across our travel management surfaces: search and inventory, quoting and repricing, checkout, policy evaluation, loyalty, post-booking servicing. - Own reliability and correctness of a system dependent on third parties: supplier APIs, GDS and aggregator content, TMC and OBT integrations. - Partner with Product, Design, Ops, Partnerships, and Sales on enterprise travel commitments. - Set the team's practices for AI-assisted development and ship agentic booking features. - Hire. The team is expected to grow. WHAT YOU'LL NEED - 2+ years managing engineers, team size roughly 5 to 15. - High levels of ownership. Comfortability taking difficult ambiguous problems and driving successful execution. - Has built something 0→1 and then scaled it. - Willing to be hands-on. This is a six-person team, and everyone at Ramp is a builder. - Current enough technically to lead a design review and evaluate an architecture proposal. - Strong product judgment and comfort talking to customers. - Has owned a transactional system with external dependencies: booking, payments, marketplace, or logistics. PREFERRED - Corporate travel domain experience, such as: corporate online booking tools (OBTs), integrations with travel content sources (GDS/NDC), and front-end traveler experiences. - Enterprise B2B fintech or T&E background. - Has rolled out agentic dev tooling to a team, or shipped LLM-backed features. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf. OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Beware of recruiting scams: Ramp will only contact you through official @ email addresses and will never ask for payment or sensitive personal information during the hiring process. Ramp Applicant Privacy Notice

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

The primary objective of this role is to successfully support in the winning of new business by positioning NiCE and its solution portfolio with prospects and partners within the Public Safety sector in North America. This person will work with the various functions within the company such as: Account Executives on the Public Safety business, Product Management, Business Development, Project Management, Legal, Marketing, Professional Services and Customer Support.

How will you make an impact?

• Support sales opportunities by being a product expert and being able to demonstrate solutions capabilities
• Need to have a full understanding of Criminal Justice Process workflow as it pertains to digital evidence
• Interview and engage a variety of user work groups within Public Safety agencies
• Construct needs assessment/analysis while working with Account Executive to ensure alignment
• Collect feedback on solution requirements and interface with Product Management
• Assisting in technical responses to RFPs, and presentations
• Build out of Scope of Work documents (SOWs)
• Continually learn market needs and future trends in the Public Safety sector
• Develop and deliver compelling presentations to end users, partners and consultants
• Sell NiCE value, differentiating between NiCE and its competitors when presenting value proposition to potential and existing customers
• Maintain existing customer relationships with the goal of maximizing revenues long term through relationship building, use them as strong referral sources

Have you got what it takes?

• BA/BS in Computer Science, Information Management Systems, or a related field
• 4+ years experience selling and/or sales engineering into Government verticals and/or into the overall Public Safety/Security industry
• Experience in working with government Purchasing personnel related to RFP/Bid responses and state and/or federal contracts
• Proven consultative selling style with experience in demonstration and presentation preparation
• Exceptional work ethic
• Strong technical knowledge
• Excellent communication and presentation skills
• Proven creative problem-solving skills
• Strong desire to win and close business
• Experience working with and influencing high end decision makers
• Travel requirement will be ~50% per month within assigned territory

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

****

Requisition ID: 11658

Reporting into: VP, Business Development

Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.