About the Role:
We’re looking for a highly organized and technically minded CRM & Marketing Operations Associate to support campaign execution across multiple brands within our portfolio, as well as support and onboarding for new clients. This role will report directly to the Trivelta CRM Manager and the product manager for Bonus & Marketing Engineering. In this role, you will work closely with both marketing and engineering teams to ensure campaigns are delivered accurately, on time, and aligned with business goals.

This is an ideal role for someone who thrives at the intersection of operations, marketing
technology, and creative execution.

Key Responsibilities:

• Assist in building, testing, and deploying campaigns across various channels: email, push, in-app messaging via Braze
• Partner with product, engineering, and marketing teams to ensure CRM workflows are technically sound and meet user targeting requirements
• Perform QA and troubleshooting for dynamic content, personalization logic, segmentation, and deliverability creative input abnormalities
• Help maintain campaign calendars, documentation, and asset libraries across brands
• Collaborate with lifecycle and promotional initiatives, contributing both operational and creative input
• Support performance tracking, innovation, reporting, and flagging of issues or abnormalities

Qualifications:

• Experience in CRM Operations, email marketing, automation, or a similar support function
• Familiarity with Braze or a comparable CRM platform
• Experience and/or interest in the American sports and casino gaming industry
• Working knowledge of HTML, Liquid and player segmentation
• Detail-oriented with strong organizational and problem-solving skills
• Comfortable communicating across teams, including engineering
• Passion for digital products in sports, gaming, or entertainment

MUST HAVE:

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

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

YOUR ROLE

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

OUTCOMES

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

COMPETENCIES

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

MUST HAVE:

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

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

YOUR ROLE

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

OUTCOMES

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

COMPETENCIES

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

About the Role

The KAM Affiliates is the commercial owner of the affiliate partner relationships that drive new user acquisition into the funnel. While this role sits within the Onboarding team, it operates at the intersection of commercial development, partner management, and lifecycle marketing  making it uniquely cross-functional.
Your core mission is simple but demanding: grow the volume of high-quality First-Time Depositors (FTDs) coming through affiliate channels by building stronger partnerships, removing friction from affiliate workflows, and creating the conditions that make it easy and commercially attractive for partners to send more users your way.
This is not a passive account management role. You are expected to think like a business developer, act like an operator, and communicate like a partner success manager.

Core Responsibilities
Commercial & Partner Management

• Own the end-to-end commercial relationship with a portfolio of affiliate partners: negotiate terms, manage commission structures, and identify upsell opportunities within existing partnerships.
• Proactively identify and onboard new affiliate partners that align with the company's B2C acquisition strategy.
• Conduct regular business reviews with key affiliates analyze their funnel performance, share insights, and co-develop action plans to increase FTD volumes.
• Be the primary point of contact for all affiliate inquiries, escalations, and commercial negotiations.
• Maintain a healthy pipeline of new and existing affiliate opportunities, tracked and reported on a regular cadence.

Process & Enablement

• Map and audit the current affiliate onboarding and operational workflow; identify friction points that slow down partner activation or reduce partner motivation to send traffic.
• Design and implement process improvements that make it faster, simpler, and more rewarding for affiliates to operate and scale with the company.
• Build and maintain affiliate-facing materials: onboarding guides, commission calculators, creative asset kits, and performance reports.
• Work with Product and Tech to improve affiliate portal tooling, tracking accuracy, and payout processes.

Cross-functional Collaboration

• Work closely with the CRM Lead to align on user quality standards: ensure that affiliates are sending users who are set up for activation, not just registration.
• Collaborate with the Onboarding Lead (Thomas Barrett) to ensure a seamless experience between affiliate referral and in-product onboarding.
• Partner with the BI Lead to build affiliate performance dashboards and maintain accurate FTD attribution.
• Coordinate with Finance on commission reconciliation, payout schedules, and fraud controls.

Requirements

• 3+ years of experience in affiliate management, partnership development, or commercial account management  ideally in a B2C SaaS, fintech, or digital product environment.
• Proven track record of growing affiliate-driven revenue or user acquisition metrics.
• Strong commercial acumen: comfortable negotiating deals, structuring commission models (CPA, RevShare, hybrid), and managing partner P&Ls.
• Data-driven approach to partner performance: able to pull reports, interpret conversion funnels, and translate data into clear actions for partners.
• Excellent relationship management skills build trust quickly and maintain it over time.
• Solid understanding of affiliate tracking technology (postback URLs, pixel tracking, attribution platforms like Impact, PartnerStack, or similar).
• Strong written and verbal communication in English; Spanish is a strong plus.

Nice to Have

• Experience working with affiliate networks vs. direct partnerships  and knowing when each model is the right fit.
• Familiarity with CRM tools and lifecycle marketing concepts (understanding what a "quality user" looks like post-acquisition).
• Background in fraud detection or traffic quality management within affiliate channels.
• Experience in a growth-stage company where processes need to be built, not just followed.

The Role

We're looking for a Digital Acquisition Analyst who knows their way around pixels, SDKs, and acquisition channels. You'll be a key player in our growth team, helping us bring in the right users and making sure they actually stick around after downloading our app.

You don't need to have seen it all, but you need to be curious, sharp, and ready to own your work end to end.

What You'll Do

• Run and optimize acquisition channels: Manage campaigns across Meta, Google, TikTok, and other paid channels. Track what works, cut what doesn't, and scale what does.
• Own our tracking setup: Implement and maintain pixels (Meta, Google, TikTok) and make sure our events are firing correctly across web and mobile.
• Work with SDKs & MMPs: Help configure and QA tools like Adjust or AppsFlyer to keep our attribution clean and reliable.
• Dig into the funnel:  Spot where users are dropping off and work with the team to test and fix it.
• Improve app onboarding: Analyze how new users move through our onboarding flow and find ways to increase activation rates.
• Report on what matters: Build and maintain dashboards with the metrics that actually drive decisions: CAC, ROAS, LTV, conversion rates.
• Collaborate across teams: You'll work closely with product, engineering, and creative to make things happen.

What We're Looking For

Must-Have

• 2–4 years of experience in digital acquisition, performance marketing, or growth.
• Solid understanding of tracking pixels and event-based attribution (Meta, Google, TikTok).
• Hands-on experience with at least one MMP (Adjust, AppsFlyer, Branch, or similar).
• Experience analyzing and improving conversion funnels.
• Comfortable working with data SQL is a plus, but strong Excel/Sheets skills work too.
• Some experience with app onboarding flows or mobile growth.
• English proficiency: upper-intermediate to advanced (B2–C1). You'll read docs, write reports, and communicate with partners in English.

Nice-to-Have

• Experience in high-performance industries like fintech, e-commerce, gaming, or on-demand.
• Familiarity with Firebase or a BI tool (Looker, Tableau, etc.).
• You've worked in a startup or scale-up before, you know what "wearing multiple hats" actually means.

Are you the person who knows everyone on campus? Are you fascinated by how AI and robots perceive the world? We're looking for energetic, outgoing, and tech-savvy Campus Ambassadors to help us build the next generation of robotics technology. In this role, you'll be the face of our robotics initiatives on your campus. Your mission is to engage with fellow students and guide them through short, fun data collection sessions using an iPhone. You aren't just collecting data—you're helping train the computer vision models that will power the future.

What You'll Do

• Engage & Recruit: Approach students on campus (quads, student unions, study areas) and invite them to participate in a paid/incentivized data recording session.
• Capture Data: Guide students through recording high-quality video and sensor data of participants performing specific movements or interacting with objects using our app.
• Quality Control: Ensure lighting, framing, and movement instructions are followed strictly to ensure data is usable for machine learning.
• Educate: Briefly explain the purpose of the technology to participants, creating excitement about the project.
• Manage Goals: Meet weekly targets for the number of unique participants recorded.

Who You Are

• The Social Butterfly: You're comfortable walking up to strangers, striking up a conversation, and explaining complex ideas simply. Rejection doesn't phase you.
• Tech-Fluent: You're comfortable using iOS devices, troubleshooting basic app issues, and following technical instructions.
• Detail-Oriented: You understand that "garbage in, garbage out" applies to AI. You care about capturing the perfect shot.
• Reliable: You show up when you say you will and you treat the equipment with care.
• Currently Enrolled: You're a student at a University with availability to work 10–15 hours per week (flexible schedule).
• Physically Capable: Comfortable holding an iPhone steady for extended periods and standing/walking around campus for the duration of a shift.

Nice to Haves

• Interest in Computer Science, Robotics, Engineering, or Marketing
• Experience in street teaming, sales, or photography
• Previous ambassador, promotional, or field marketing experience

The Perks

• Competitive Pay: Earn competitive hourly rates + performance bonuses for hitting high-volume targets
• Flexible Schedule: Work between classes or on weekends
• Resume Booster: Gain hands-on experience with an AI/Robotics project and field operations
• Networking: Connect with the engineering and product teams working on cutting-edge robotics technology

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