BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. Offering spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken Pro is where serious traders work. Tight spreads, deep books, an API people actually build on. The people who use it are demanding, opinionated, and allergic to marketing. We want someone who belongs in that room. Not a brand account with a person behind it, but a trader's trader who happens to be very good at building community. Come here to build and grow this Community for us. THE OPPORTUNITY - Live in the trenches. Discord, Telegram, X, TradingView, Reddit, the group chats you're already in at 3am. You're not "monitoring channels". You're a participant, with standing. - Be the fastest voice in the room. When a chain halts, a listing drops, or the market goes vertical, you're posting before the screenshots start circulating. Speed with accuracy, not vibes. - Build the inner circle. Stand up an ambassador and power-user program: the market makers, quant desks, and high-volume traders who'll tell you the truth about the product. Give them a reason to stay loud. - Run the room in public. AMAs, live trading sessions, feature launches, competitions, post-mortems when we get something wrong. Own the format, don't just attend it. - Close the loop with Product. You'll be the first to hear that the order entry flow is broken. Your job is to get it to the PM with receipts, then go back and tell the community what happened. - Write things people screenshot. Threads on microstructure, teardowns of new features, release notes that don't read like release notes. - Prove it worked. Sentiment, share of voice, community-sourced signups, retention of the accounts that matter. You bring the numbers to the table before anyone asks. WHAT YOU’LL BRING - You trade. Actual positions, actual scars. You can hold a conversation about funding rates, maker/taker economics, slippage, and latency without reaching for a glossary. - 3+ years running community or social for a product with a technical, skeptical audience. Crypto, fintech, gaming, or dev tools all count. - You write fast and well. Short-form that lands, long-form that holds up under scrutiny from people smarter than the average follower. - You have thick skin and good instincts. Crypto community management means getting yelled at with an audience watching. You de-escalate without going corporate and you know when to push back. - You've built something from a standing start, not just maintained an existing account. - You operate without a brief. Markets don't wait for approval chains, and neither should you… because you know where the line is and you don't need a committee to find it. - You're comfortable with the ambiguity of a company that ships constantly and reorganizes around opportunity. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice

BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. Offering spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken Pro is where serious traders work. Tight spreads, deep books, an API people actually build on. The people who use it are demanding, opinionated, and allergic to marketing. We want someone who belongs in that room. Not a brand account with a person behind it, but a trader's trader who happens to be very good at building community. Come here to build and grow this Community for us. THE OPPORTUNITY - Live in the trenches. Discord, Telegram, X, TradingView, Reddit, the group chats you're already in at 3am. You're not "monitoring channels". You're a participant, with standing. - Be the fastest voice in the room. When a chain halts, a listing drops, or the market goes vertical, you're posting before the screenshots start circulating. Speed with accuracy, not vibes. - Build the inner circle. Stand up an ambassador and power-user program: the market makers, quant desks, and high-volume traders who'll tell you the truth about the product. Give them a reason to stay loud. - Run the room in public. AMAs, live trading sessions, feature launches, competitions, post-mortems when we get something wrong. Own the format, don't just attend it. - Close the loop with Product. You'll be the first to hear that the order entry flow is broken. Your job is to get it to the PM with receipts, then go back and tell the community what happened. - Write things people screenshot. Threads on microstructure, teardowns of new features, release notes that don't read like release notes. - Prove it worked. Sentiment, share of voice, community-sourced signups, retention of the accounts that matter. You bring the numbers to the table before anyone asks. WHAT YOU’LL BRING - You trade. Actual positions, actual scars. You can hold a conversation about funding rates, maker/taker economics, slippage, and latency without reaching for a glossary. - 3+ years running community or social for a product with a technical, skeptical audience. Crypto, fintech, gaming, or dev tools all count. - You write fast and well. Short-form that lands, long-form that holds up under scrutiny from people smarter than the average follower. - You have thick skin and good instincts. Crypto community management means getting yelled at with an audience watching. You de-escalate without going corporate and you know when to push back. - You've built something from a standing start, not just maintained an existing account. - You operate without a brief. Markets don't wait for approval chains, and neither should you… because you know where the line is and you don't need a committee to find it. - You're comfortable with the ambiguity of a company that ships constantly and reorganizes around opportunity. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice

About Toast: Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

*Are you bready for a change?** The Product-Led Growth team builds the in-product experiences that help restaurants discover, try, buy, and adopt the Toast products they need. We own the services and surfaces that decide which restaurants see which offers, carry them through purchase and activation inside the product, and tell us whether it worked.

This is measurable, revenue-attached work. Every experience we ship has a conversion metric behind it, and we know within weeks whether it worked. We're a small team with a large surface area, and we're early in turning PLG from a set of hand-built campaigns into a platform: shared targeting, offer delivery, purchase, and measurement services that let us launch a new experiment in days instead of weeks.

You'll ship experiments into production, read the results, and decide what comes next, and you'll build the shared services that make each launch faster than the last. You'll work with product, marketing, sales operations, and data science to turn a hypothesis about customer behavior into a targeted in-product experience, then prove or disprove it with data.

About this roll*

• Drive end-to-end development of the backend services that power in-product growth experiences: eligibility, targeting, offer delivery, self-serve purchase, activation, and conversion tracking, owning the full lifecycle and iterating on measured outcomes.
• Build the shared infrastructure that makes the next experiment cheaper than the last: reusable targeting and eligibility services, campaign configuration, and a purchase flow that new offers plug into rather than rebuild.
• Build and evolve integrations with the systems those services depend on, consuming propensity scores, Toast IQ recommendations, and CMS-driven campaign controls, and connecting to billing, contracting, and provisioning systems so a restaurant can complete a purchase inside the product.
• Build LLM-powered experiences on Toast IQ, from prompt and tool design through evaluation and production monitoring.
• Design experimentation and attribution instrumentation so every launch has a clear measurement story, and use production data to kill or scale experiences quickly.
• Partner with product, design, marketing, sales, and data science to translate business goals like adoption and upsell targets into concrete, testable product changes.
• Contribute to technical design and architecture discussions, and help set engineering standards for a team that is growing.
• Mentor other engineers through code review, pairing, and technical guidance.

*Do you have the right ingredients?**

• 5+ years of software engineering experience building and maintaining production backend systems in Kotlin, Java, or another object-oriented language, with enough full-stack experience to ship web or native front-end changes when needed.
• Proven ability to own features end-to-end through design, launch, measurement, and iteration.
• Product-minded builder who is comfortable making product calls, launching, and iterating on what customers actually do, working across PM, design, and sales rather than executing tickets.
• Experience with experimentation, A/B testing, or growth engineering, and a working understanding of attribution: you can explain why a metric moved and whether to believe it.
• Experience building on LLMs or AI platforms, in production or in side projects. Interest in agents and tool use is a bonus.
• Experience building customer-facing features on top of data products such as scores, segments, or recommendations is a plus.
• Comfortable with ambiguity and with making tradeoffs between speed and scale.
• Proficient with AI tooling such as Claude, Cursor, and MCP servers.

This is a hybrid role requiring in-office collaboration two days per week in our Dublin office.



AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.



Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

How Toast Uses AI in its Hiring Process

Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. We ask that you complete interviews and assessments on your own, without real-time AI tools, recording, or transcription bots, unless we tell you otherwise in advance. To learn more: https://careers.toasttab.com/ai-in-hiring

Our Approach to Hybrid WorkingWe embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast

People Are the Secret Ingredient in Our Recipe for Success

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry brings together people with a wide range of backgrounds, experiences, and perspectives, and we value that same breadth at Toast. We strive to build a culture grounded in authenticity, respect, and humility, where every Toaster has a real opportunity to grow, contribute, and do their best work—raising the bar in delivering exceptional experiences for our customers and each other.

Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact [candidateaccommodations@toasttab.com](mailto:candidateaccommodations@toasttab.com).

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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

We are looking to speak to candidates who are based in Bengaluru for our hybrid working model.

Responsibilities

• Successfully co-ordinate with a global team of Cloud Operations Engineers who are tasked with ensuring our uptime guarantees to our Atlas customer base
• Help scale the worldwide Cloud Operations Engineering team with the strategic implementation of new processes and tools
• Assist in scoping, designing and deploying systems that reduce Mean Time to Resolve for customer incidents
• Monitor and detect emerging customer-facing incidents on the Atlas platform; assist in their proactive resolution
• Automate routine monitoring and troubleshooting tasks
• Diagnose live incidents, differentiate between platform issues versus usage issues, and take the next steps toward resolution
• Cooperate with our product management and cloud engineering organizations by identifying areas for improvement in the management applications powering the Atlas infrastructure
• Inform executive leadership and escalation management personnel of major outages
• Coordinate and participate in a weekly on-call rotation, where you will handle short term customer incidents (from direct surveillance or through alerts via our Technical Services Engineers)

Requirements

• Experience with being an on call DevOps, SRE, or Cloud Operations engineer (at least 2 years)
• Expertise with Linux system administration, configuration, troubleshooting
• Experience in monitoring, system performance data collection and analysis, and reporting
• Expertise with networking technologies like DNS, TCP/IP, etc
• Knowledge of database operations and concepts.
• Familiarity with Amazon Web Services and other Cloud infrastructure platforms (e.g. GCP, Azure)
• Capability to write small programs/scripts to solve both short-term systems problems
• A CS/CE degree or equivalent experience
• At least 1 of the following programming languages: Java, Go, Python, Javascript
• A keen interest in learning new things

Special requirements

• Willingness to work in 1st Shift (7:30 am IST to 3:30 pm IST).
• Willingness to work from Wednesday - Sunday or vice versa

Nice To Have

• MongoDB
• Splunk
• Kubernetes

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Requisition ID
3273541776

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 As a Product Operations partner for Ramp Procurement, you will help build and scale the workflows that enable customers to manage their procurement processes with speed, accuracy, and control. You will improve both the requester and approver experience while shaping product quality through data, customer feedback, and tight partnership with customer-facing internal teams. Beyond your product vertical, you will also contribute to Product Operations process improvement and product building that allows our Product and Engineering teams to scale. You will use AI tools to improve release management, collect customer feedback, and enable internal teams to support customers and troubleshoot issues. Our main goal is to reduce customer friction, measured by support tickets per active user and customer NPS. WHAT YOU’LL DO - Own the voice-of-customer loop for Procurement — systematically capture, analyze, and prioritize feedback from CX, Sales, and direct customer channels - Partner with Product, Engineering, and Design to translate customer feedback into actionable product requirements and specs - Own launch operations for new Procurement features as they move from Alpha to GA, including AI-native experiences that require strong customer and internal enablement - Directly ship product improvements (UX fixes and paper cuts) using AI tools — owning your own backlog of customer friction reduction, not just feeding the engineering backlog - Use AI to automate processes and build products that enable teams to ship faster while maintaining a high quality bar - Build scalable operating systems for release readiness, internal enablement, supportability, and issue escalation across Procurement workflows WHAT YOU NEED - 3+ years in product operations, product management, or a customer-facing analytical role supporting B2B SaaS; experience with procurement, intake and approval workflows, spend management, or financial operations preferred - Proficiency using data to size opportunities and analyze adoption, support trends, payment flow performance, and customer friction - Ability to translate qualitative feedback into crisp requirements and operational processes - Comfort working in ambiguous, technically complex spaces and driving clarity across multiple stakeholders - Strong problem solving, prioritization, and communication skills; bias to ship improvements quickly and measure impact - Experience using AI tools ., Claude Code) to accelerate your work and directly make product improvements ABOUT OUR TEAMS - Spend Management owns our core spend product, including card issuance, reimbursements, and travel & entertainment to control spend - Procurement owns streamlining new purchase requests, approvals, vendors, savings, and price intelligence products to help companies make better financial decisions - Intelligence owns the reporting, savings, and price intelligence products to help companies make better financial decisions - Bill Payments owns our invoice management, accounts payable, and B2B payment capabilities - Risk owns our underwriting and financial products that determine which businesses to approve and how to manage risk - Growth owns onboarding, activation and retention products to help our customers be successful on the Ramp platform - Accounting owns creating intelligence in our accounting platform, saving finance teams time and money - Mobile owns our mobile app development and mobile strategy 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

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!

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

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!

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.

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