Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

About the role

You'll join one of several teams building the low-level systems behind CAST AI's multi-cloud automation platform. The work sits at the intersection of Kubernetes, cloud infrastructure, and Linux.

Depending on your strengths, you'll work in one of these areas:

• Cluster and node lifecycle - custom node bootstrapping across AWS, GCP, and Azure. Controllers and operators managing full node lifecycle. Bridging the gap between autoscaler decisions and running VMs - including working around limitations of managed Kubernetes platforms like EKS, GKE, and AKS.
• Cross-cloud provisioning - orchestrating infrastructure across regions and clouds. Workflow orchestration, provisioning integrations, networking and identity across cloud boundaries.
• Live container migration - zero-downtime relocation of running containers using CRIU checkpoint/restore, custom CRI-O and runc forks, and forked cloud CNI plugins. Memory page transfer, TCP session migration, process-level checkpoint/restore. Kernel-level Linux engineering applied to Kubernetes.
• Storage optimization - dynamic volume rightsizing, BtrFS compression, custom CSI drivers. Full storage stack from cloud disk APIs through filesystem internals to Kubernetes PV/PVC lifecycle.

Common across all teams: Go, deep Kubernetes, multi-cloud, building beyond what the ecosystem offers.

How we build

We invest heavily in agentic development and AI-powered tooling. Engineers work with code agents and automated workflows daily. We expect you to shape how these tools evolve.

Requirements:

• Strong backend fundamentals and production-grade coding, preferably Go.
• Hands-on Kubernetes internals, cloud infrastructure, or large-scale distributed systems experience.
• Clear English communication, collaborative and self-directed.
• Bias toward action and ownership.

What would make you stand out

• Deep knowledge of EKS, GKE, or AKS internals.
• Low-level Linux experience: process internals, networking (NAT, iptables, conntrack, SDN), filesystems, storage.
• Kubernetes or cloud-native OSS contributions.
• Cloud storage depth - block storage, CSI, volume management, filesystem internals.
• Container runtime experience (CRI-O, runc, containerd) or CRIU.
• Experience with AI coding agents and agentic development workflows.
• Comfort building where there's no playbook.

Responsibilities:

• Design, build, and operate backend services, Kubernetes operators, and controllers in Go across AWS, GCP, and Azure.
• Solve infrastructure-layer problems — networking, scheduling, storage, compute, or container runtime internals.
• Build and maintain high-throughput services (gRPC/REST) and async orchestration workflows.
• Shape public and internal APIs.
• Leverage and improve AI-powered development workflows.
• Participate in design reviews, code reviews, on-call, and customer deep-dives.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

We are hiring across multiple teams!

As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. We are currently hiring Senior Software Engineers for the following teams:

- Workload Optimization - Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.

- Karpenter - The Karpenter team powers the integration between Karpenter and Cast AI, bringing enterprise capabilities to the most popular open source Kubernetes autoscaler. We enhance Karpenter with advanced features that improve application reliability and performance while optimizing costs. By joining the team, you’ll bridge open source innovation with enterprise requirements, directly impacting how organizations run Karpenter at scale.

- Reporting - Builds a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.

- Pricing - Drives the synchronization of public and customer cloud resources, availability, and dynamic pricing across all major cloud providers. Empowers autoscaling by leveraging discounts, commitments, and cross-cluster tracking to maximize savings. Provides a reliable source of truth for node pricing, resources, components, discounts, and commitments.

- Autoscaler - Automates Kubernetes node autoscaling to optimize clusters, balance workloads, remove underutilized nodes, and dynamically allocate capacity in real-time, thereby reducing cluster costs by half.

- Identity -  Builds and maintains the trust and access foundation for the entire platform, ensuring every user, service, and workload authenticates and interacts securely and seamlessly at scale.

- Billy -  Powers the critical day-2 operations layer of the platform - from billing and audit trails to notifications and feature flags - ensuring the platform runs reliably, transparently, and at scale for every customer, every day.

Here are some of the tools we use daily:

• Programming Languages: Go
• Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
• Databases & Storage: PostgreSQL, Cloud Object Storage
• Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
• Observability: Prometheus, Grafana, Loki, Tempo
• CI/CD & GitOps: GitLab CI with ArgoCD.

Requirements:

• Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
• Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) - including real understanding of how compute, networking, and storage work under the hood.
• Understanding of Kubernetes internals - autoscaling and networking.
• You've personally driven a complex project end-to-end.
• Strong debugging, optimization, and performance-tuning skills - including query profiling, index design, and database performance tuning beyond ORM usage.
• You've run observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
• CI/CD and DevOps practices experience.
• Strong English skills, both verbal and written.
• Startup mindset: adaptable, proactive, and comfortable with ambiguity.

Responsibilities:

• Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
• Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
• Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
• Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
• Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
• Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

CUSTOMER RETENTION STRATEGIST 

Our Mission is to be able to say - "Anyone in the World below $15M should fire their Agency tomorrow as nobody can beat this Value & Service at this Price"

We are seeking a highly driven and performance-oriented Customer Retention Strategist to join our team.

In this position at Common Thread Collective (CTC), you will play a pivotal strategic role, guiding our clients toward durable, scalable growth. Your core responsibility is to deliver steady and reliable revenue through retention-focused initiatives—using data-backed insights to build accurate forecasts, shape strategic direction, and ensure consistent performance. At CTC, your expertise is invaluable, covering the elements of CTC's strategic forecasting methods and the foundational principles of retention marketing.

Your impact goes far beyond managing email programs—you operate as a trusted advisor to our clients across all areas of retention strategy. You clearly communicate the rationale behind our decisions, connecting forecasting insights to the email, SMS, direct mail, and other retention touchpoints we activate. Your clarity strengthens client trust and deepens alignment throughout the partnership.

You also act as a strong advocate for CTC’s unique retention methodology and the tools that support it.

As a Customer Retention Strategist, you lead with precision and purpose, ensuring every initiative is executed to the highest standard and tightly aligned with client objectives.

You thrive on solving complex challenges, take complete ownership of outcomes, and are committed to developing, enhancing, and scaling high-impact retention programs. We embody the principle “Everyday in Every Play, Count on Me”—embracing accountability, striving for excellence, and consistently delivering results that matter.

WHAT WE LOOK FOR

This place isn’t for everyone, but it might be for you if…

Our core values are the heart and soul of this incredible Company. The right person for this role will appreciate each of these values, personally subscribe to them, and understand why each is critical to having a great business.

To give ourselves our best shot at accomplishing Our mission, we organize all of our decisions — from recruiting, to hiring, to raises, to promotions, to how we spend our time and money — in the direction of three committed values.

We recognize these values aren't for everyone.

They're challenging. In fact, they're so challenging, that's why we invest so much in supporting our team and why we tend to attract people who are craving the opportunity to do more at work than get a paycheck. We're looking for those who are interested in making their work significant.

AUTODIDACT

• Naturally curious and an autodidact, able to absorb information quickly and effectively, like osmosis. Your commitment to learning sets you apart, absorbing information swiftly and more effectively than your peers.
• Your openness to both offer and embrace feedback as an opportunity for growth and implement it proactively, without needing constant direction.
• Demonstrates resourcefulness, and independently refine your skills without being prompted.
• Thrives in a self-managed environment, showing autonomy, initiative, and a commitment to continuous improvement and not requiring task lists built by their managers and constant oversight.

UNIMPEACHABLE CHARACTER

• Embodies a character that inspires pride in both personal and professional associations.
• Consistently honest, with the courage to acknowledge and communicate hard truths, and the humility to accept them, even when uncomfortable, and never lie in any situation.
• Displays a high level of self-awareness, taking full ownership of outcomes without resorting to a victim mindset.
• Values constructive feedback and integrates it, understanding nothing great is built without feedback.

COMPETITIVE GREATNESS

• Performs at their best when it matters most, The Enjoyment of Hard Challenges.
• Demonstrates an unyielding determination to get things done, regardless of obstacles, time constraints, skills needed, or resources.
• Adapts to changing circumstances, recognizing that true success is about not just meeting, but exceeding what is required.
• Possesses a deep passion for their work, using creativity and resilience to overcome any hurdle.

Minimum Experience Requirement  

• At least 2 years of hands-on experience in email and SMS marketing, with proven execution across campaigns, automations, segmentation, and optimization.

• A minimum of 2 years of experience in retention marketing, owning initiatives that drive predictable revenue, customer lifetime value, and ongoing lifecycle improvements.
  
  

What Success Looks Like

NECESSARY SKILLS

KICK OFF PERIOD

• Be willing to put in the hard work required and be hungry enough to go through the kick off.
• Being ready and prepared for this to be the hardest job you have ever worked, as you would fundamentally develop a high-leverage new skill.
• The ability to take feedback and implement it fast.
• Finish the work to the fullest with quality and on time.
• Perseverance.
• Remember and learn from the repetitive doing of the exercises.

ONBOARDING

• Align with the team and contribute to the team called Brain Trust for Ideas across clients.
• Manage, align & work with the team members of your pod including Growth strategist, Meta/Google/Channel Media Buyer and Creative Strategist.
• Ability to organize, prioritize, and manage multiple tasks with great attention to detail.
• Upkeep of data integrity of your clients across Statlas and other tracking tools.
• Be responsible for the execution of the Prophit system for your clients
• Building an Email Forecast for your clients
  • Utilizing a Growth map using the Prophet System
  • Data Analysis required during analysis of past campaigns and flows etc
  • Marketing calendar alignment and upkeep with clients
• The Monthly Execution and Actualisation vs the Forecast.
  • You make tactical deconstructions and actualize the projections each month, and determine additional resources required to meet KPIs.
• Combine data analysis and feedback from clients to develop strategic plans for the future.
• When it's time to pivot you are among the first early adopters
• Take a lead in situations that present any obstacle to execution.
• An insatiable curiosity, and an inability to leave a problem alone until you've found one or many different potential solutions.
• Responsible for the implementation of CTC's Email and SMS best practices
• Leverage tools like memberships, subscriptions, loyalty programs, popups, quizzes, cart drawers, post-purchase upsell tools, direct mail and more, to impact retention metrics.
• Upkeep and management of our ideologies and processes throughout the account.
• Monitoring active campaigns, and deploying additional resources, or updating strategy to ensure the best possible chance of hitting the Projected Targets.
• Implementing tests in your accounts in an effort to beat your best-performing campaigns.

ENSURING AND HOLDING THE STANDARD OF QUALITY OF WORK

• Ensuring deliverables are on-brand 100% of the time, in collaboration with designers and copywriters.
• Ensuring that automations, campaigns and any other retention tool has the correct technical setups and work in tandem to achieve desired business outcomes
• Ensuring alignment with the client vs the forecast & strategy
• Ensuring above benchmark client satisfaction rate feedback
• Ensuring following the Prophit system execution to 100% within the timeline required.
• Ensuring all the work is delivered based on the timeline assigned with optimal quality & attention to detail.

Client Communication

• You are a champion of communication, ensuring the client is aligned on Retention goals aligned with revenue goals on the Growth Map and next steps, while making sure everybody on your team has clarity on what is required with exact deadlines.
• Responsible for sending daily performance updates to the client
• Ensure alignment across Strategy and Forecast with the client for every week of the month.
• Providing weekly updates via Slack.
• Report where required, collaborating with Growth Strategists and Media Buyers.
  
  

CONTRIBUTING BACK

• Contributing your learnings back to the system for feedback and continuous improvement.
• Contributing & collaborating in ideas and learning across teams.
• Contributing to ideas and learning in future company content production.

NEXT-LEVEL SKILLS

Communication Skills

• Fluent in English, with a proven ability to communicate persuasively and present ideas clearly to various stakeholders.
• Skilled in crafting thoughtful, empathetic client messaging that resonates, demonstrating a high level of emotional intelligence.
• Strong presentation skills, capable of delivering compelling presentations that drive engagement and decision-making.

Great Data Analysis skills

• Strong raw talent for data analysis, with an eagerness to learn and improve.
• Familiarity with data tools, including Google Sheets, with the flexibility to develop advanced skills through on-the-job experience.

Past Experience 

• Historical expertise that compounds to bring a well-rounded perspective and adds value to the role.
• A breadth of experience from any of the multiple domains, including mathematics, data analytics, copywriting, email/sms marketing etc.

Critical Thinking 

• Ability to approach challenges with structured thinking, utilizing logical frameworks to effectively solve complex problems.
• Naturally adept at dissecting issues and proposing practical, impactful solutions.

Impact

• Passionate about e-commerce and eager to contribute to a high-performing team at the forefront of the industry.
• Highly motivated and hardworking, with a strong desire to learn, grow, and make a meaningful impact.
• Thrives in environments where they can see the direct results of their actions on the business, with a strong preference for roles that offer full accountability and autonomy.

Results 

You will merge the Retention, Growth and elements of finance to build a forecasted strategy to help the business achieve its goal.

• Achieve certification and confidence in our ideology by the end of training, enabling precise execution of the Prophit system to ensure top-quality results for clients.
• Consistently deliver high-accuracy performance of retention, far beyond the email/sms platform, referring to the Prophit system's Growth Map and Statlas.
• Lead and collaborate with your team to optimize productivity and maintain high-performance standards.
• Apply best practices in email and sms marketing to drive outstanding results, ensuring no one could achieve better outcomes in your role.
• Maintain client satisfaction levels above benchmark rates, aligning on forecasts to exceed client expectations.
• Adhere to rigorous quality standards in client feedback, forecasting, email production and execution.
• Meet all deadlines and retention requirements requirements, ensuring timely and on Target Performance.
• Contribute valuable ideas to team discussions and company-wide content, supporting growth and innovation.

DOMAIN

MANAGEMENT

• Your supervisor would be Josh Tay, The Director of Retention. 
• As a Customer Retention Strategist, you'll report directly to Josh — a leader known for challenging the norms of retention marketing and alignment with real business growth. Josh is known by his team, and all he’s worked with before, as someone who will make you level up in your thinking. Every team member has walked away being a better Customer Retention Strategist after working with Josh, that’s his promise to you, no matter if you’ve worked with him for 1 month, 1 year or 5 years

Working under Josh’s guidance will push you to your limits in the best possible way. He models the value of “do whatever it takes to be the absolute best”, and learning from him means you’ll level up in knowledge, perspective and precision. Josh is committed to personally ensuring you reach your full potential as a Customer Retention Strategist, supporting your journey every step of the way.

JOB SCOPE

• Oversee the profitable growth of retention channels, including but not limited to email, sms, direct mail, popups and push notifications. Where required, you may work within subscription, membership, loyalty programs and more.
• Write briefs and ensure the rest of the team is able to execute on it
• Complete reports with a high degree of accuracy, checking against multiple data points
• Analyse metrics and KPIs to measure the effectiveness of retention efforts, providing insights and recommendations for improvements, with Statlas and the Growth Map as your guide.
• Collaborate with design, content and any other relevant teams to create compelling and engaging email content, ensuring brand consistency and messaging alignment.
• Ensure the timely delivery of relevant deliverables (emails, sms etc), which includes effective internal project management and management of clients and their teams.
• Stay updated with industry trends, new features, and best practices in retention marketing to continuously optimize performance.
• This is a client-facing role. So you must be able to consult clients and solve business problems, far beyond the email platform.
• Prioritize the development of relational equity with your team and clients to foster lasting relationships for the continued growth of CTC and our client businesses.

WHAT’S IN IT FOR ME?

SALARY RANGE

• First 30 days – $1.5K (Part-time transition phase)

  • Give notice at your current job (if applicable)

  • Participate in daily training for the first 15 days

  • Shadow and support ongoing accounts during the next 15 days while preparing to take on your own clients

  Days 31–60 – $3K (Full-time start)

  • Transition to full-time

  • Begin managing your first 3 client accounts independently

  Days 61–90 – $4–5K + performance bonuses

  • Continue growing your portfolio

  • Earn bonuses based on hitting revenue targets

  •  Negotiate your term contract annually

This will depend on the amount of clients and the quality of work.

Growth, Transparency, and Fairness in Career Development

• Progress is Clearly Defined
  • Depends primarily on your experience with the system & quality of execution against it. Following a well-defined path for the first 12 months and how exactly you can grow to be promoted to the next level.
• Fairness and transparency are prioritized
  • Access a weekly performance dashboard to see exactly where you stand compared to team members on both objective and subjective metrics.
• Pay transparency is upheld for all team members
  • With consistent contract terms and a clear roadmap for increasing earnings, ensuring everyone understands the path to greater compensation. We will also talk monthly about how you can progress
• My Commitment to You:
  • You will work harder, learn more than ever before, and get recognized by the world for your expertise. You will gain a diverse skill set while actively contributing to the continuous development of new tools and improvements within our system. In doing so you will have an incredible opportunity for rapid career progression.
  • We will continue to provide you mentorship through every step of your development in the role and promotion from it. We will then continue to provide feedback against the expectation and evaluate against it.

Location & Environment

• Fully remote with the ability to pick your schedule.
• Embrace autonomy as a core value, with clear expectations, regular 1:1 feedback sessions, and measurable quality benchmarks to support personal growth. Exceptional work is recognized and rewarded, with weekly check-ins for accountability, ensuring you're consistently challenged and engaged with new opportunities daily.

We are searching for a highly motivated and versatile Workday Administrator to join our HR Technology team. This pivotal role will be the primary technical expert for our Talent Optimisation, Learning modules and Peakon - Employee Voice, ensuring these critical systems run smoothly, are configured optimally, and deliver an exceptional employee experience. The specific blend of responsibilities is flexible and can be adapted based on the candidate's unique technical skills, demonstrated competencies, and previous experience. We encourage candidates with strong core Workday skills and a desire to grow in a specific area to apply. If you thrive on solving problems, improving processes, and empowering employees through intuitive HR technology, we want to hear from you!

What you'll be doing:

Role Overview: architect of the integrated employee growth lifecycle. This role is responsible for the technical design and maintenance of the Workday Talent Management and Peakon Employee Voice ensuring that performance evaluations, succession planning, and compliance training operate as a single, unified ecosystem.

• Talent Optimization & Performance Design
• Business Process (BP) Engineering: design and optimize the end-to-end Performance Review and Multi-Rater BPs. You build the conditional logic that routes evaluations through different approval chains based on org-level or geography.
• Succession & Calibration: build and maintain Succession Pools and Matrix Grids (9-Box). You facilitate the technical execution of Calibration sessions, ensuring data security and auditability of rating changes.
• Development Planning: configure Development Goals so that they link directly to Learning objects, allowing managers to assign specific courses as part of an employee's annual growth plan.
• Advanced Learning Management (LMS)
• Digital Content Strategy: manage the upload, versioning, and lifecycle of SCORM, AICC, and xAPI content. You ensure that the Learning catalog is organized via a strict hierarchy of Topics and Campaigns.
• Compliance Automation: create sophisticated Learning Assignment Rules (Requirement Groups). You build the logic that automatically enrolls employees in mandatory training based on "Hire Date," "Job Profile Change," or "Location."
• External Content Integration: Manage the Cloud Connect for Learning connectors for third-party providers (e.g., LinkedIn Learning), ensuring that external completions are correctly recorded on the Workday Worker Profile.
• Data Governance & Reporting
• Cross-Module Analytics: build custom reports and Discovery Boards that track the "Training ROI"—comparing learning completion rates against performance rating improvements.
• Security & Anonymity: manage Intersection Security Groups to ensure Talent ratings (high-sensitivity) and Learning transcripts (compliance-sensitivity) are only visible to authorized personnel.
• Audit & Health Checks: perform regular "Tenant Health Checks" to ensure no "broken" learning links exist and that talent pools are populated with active employees.
• Unified Talent Optimisation & Learning Architecture
• Skills Cloud Alignment: manage the Workday Skills Cloud as the common language between modules. You ensure that skills identified in a Performance Review (Talent) map directly to the Course Catalog (Learning).
• Career Hub Management: configure the Career Hub to show employees "Suggested Learning" based on their specific career interests and job profile requirements, without relying on AI-automated suggestions.
• Peakon Employee Voice
• Survey architecture: manage end-to-end survey design, including the strategic integration of Custom Questions and localized attributes to ensure insights are relevant without causing "survey fatigue."
• Platform mastery: act as the primary administrator for the Peakon dashboard, configuring complex permissions and navigating both manager and administrator views to ensure seamless data access.
• Benchmarking: maintain a pulse on organizational health by analyzing how company performance aligns with Gaming industry benchmarks provided within the Peakon ecosystem.
• Statistical integrity: apply statistical logic to all datasets—evaluating significance and participation thresholds—to ensure leadership decisions are based on robust, reliable data rather than outliers.
• Deep-Dive segmentation: utilize advanced segmentation skills to slice data by department, tenure, and location, pinpointing specific "pockets" of engagement or friction.
• Trend analysis: distinguish between cyclical fluctuations and systemic cultural shifts by identifying long-term patterns in "growth" and other key engagement drivers.
• Closing the feedback loop: design and oversee the internal communication process, ensuring survey results are transparently shared back with employees to build trust and ensure every voice feels heard.
• Actionable reporting: translate raw data into clear, narrative-driven reports that help stakeholders move from "viewing scores" to "taking action."
• System Support & Enhancement
• Provide functional support for user inquiries and issues related to these modules.
• Participate in the planning, testing, and deployment of Workday bi-annual releases, assessing impact on owned modules.
• Develop and maintain custom reports (RaaS) and calculated fields specific to Talent, Learning and Peakon.
• Maintain comprehensive documentation for configurations, processes, and integrations.

We're looking for someone with:

• 3+ years of hands-on experience as a Workday Administrator or Functional Lead.
• Proven expertise with Talent Optimisation, Learning Management, and Employee Voice - Peakon business process configuration.
• Proficiency in Workday Business Process configuration, security, and reporting (RaaS, Calculated Fields).
• Excellent analytical, problem-solving, and troubleshooting skills.
• Ability to translate business requirements into effective Workday Learning and Listening solutions.
• Strong communication and collaboration skills, with a focus on employee experience.
• Fluency in spoken and written English is required to support global documentation and communication with cross-functional teams.

Bonus points for:

• Workday Pro certification in Workday Learning, Talent Optimisation or Employee Voice Peakon.
• Experience with other Workday modules (Learning, Peakon, Talent Optimisation) and their interdependencies.
• Experience working in a global organization.

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Databases are notoriously hard to optimize—with 350+ configuration parameters in PostgreSQL alone, even experienced engineers struggle to find the right settings. Have you ever dreamed about a database that continuously self-optimizes itself in the background, so you can focus on what really matters: building great products?

Sometimes your queries slow down and it's not immediately clear why. Imagine a system that proactively detects performance degradation, analyzes the root cause, and automatically improves your queries and indexes for you—creating pull requests with the exact optimizations needed.

CAST AI is seeking a skilled senior software engineer with expertise in databases and interest in understanding the underlying technology that makes them work. Knowledge of implementation details around transactions, wire protocols, WAL, indexes, query planning, and other fundamental database features will enable you to build a product that automates what's traditionally been manual and complex.

You'll work on a greenfield project with high impact, creating intelligent systems that make database optimization effortless for our customers.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

Requirements:

• Experience working with and troubleshooting PostgreSQL and/or MySQL in production environments
• Experience troubleshooting database-related issues in one of your previous roles—whether as a DBA, backend engineer, SRE, or any position where you've debugged slow queries, optimized indexes, or resolved production database problems
• Strong programming skills in Go and/or C++
• Strong problem-solving skills and the ability to troubleshoot complex issues in a production environment
• Strong written and verbal communication skills in English
• Ability to work independently and collaboratively within a team
• Startup mindset: adaptable, proactive, and comfortable with ambiguity
• A proactive, problem-solving mindset with a "yes we can" attitude

Here are some of the tools we use daily:

• Mostly Golang with C++ in the most critical data pathways
• Extending Envoy with custom network filters
• ClickHouse and PostgreSQL for business metrics
• GRPC and REST APIs
• GitLab CI with ArgoCD as our GitOps CD engine
• Prometheus, Grafana, Loki, and Tempo for observability
• Deployment charts are written in Helm.

Responsibilities:

• Design, build, and operate database optimization services in Go and C++.
• Develop features for query analysis, index recommendations, and automated performance tuning that deliver measurable database cost savings.
• Extend and maintain integrations with PostgreSQL and MySQL protocols, cloud database services (RDS, Cloud SQL, Azure Database).
• Implement query parsing, plan analysis, and recommendation algorithms that identify optimization opportunities.
• Develop monitoring and alerting systems for database performance metrics, connection health, and cost tracking.
• Shape public and internal APIs with an eye for simplicity and developer experience.
• Participate in design reviews, code reviews, and occasional customer deep‑dives.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Private health insurance.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

#LI-Remote

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
• Exposure to streaming data platforms like Kafka
• Contributions to open-source ML projects

THE ROLE 

The Senior Application Security Engineer is a key member of Cognism’s Information Security Team, reporting into the Application & Infrastructure Security Manager. Your mission is to embed security by design across our engineering and product organization by integrating modern application security practices throughout the full development lifecycle. We focus on building secure, scalable, and resilient systems while enabling the business to innovate quickly and safely. It is to drive a culture where the fastest path for our engineers is the securest path. 

You will work closely with Product, Engineering, Architecture, and Data teams to understand risks within our platform, including risks introduced by AI powered features, and ensure the right controls, guardrails, and security patterns are built into the product at its inception – all the while ensuring a balanced approach to the product experience that our thousands of large global enterprise customers use every day. 

This role is ideal for a senior IC who is technical, collaborative, and pragmatic, with the ability to influence engineering teams while driving hands on improvements to Cognism’s secure SDLC. 

KEY RESPONSIBILITIES 

Security by Design & Product Integration 

• Partner with Product, Web and Data Engineering teams from the ideation stage to ensure security requirements are considered early in feature and model design.
• Translate product and application risks into actionable security controls, making recommendations repeatable to build guardrails and guidance that product, design, and engineering teams can apply as they scale and build the products in the teams they own.
• Help shape security acceptance criteria and guide engineering teams during design reviews and backlog planning. 

Application Risk Assessment & AI Security 

• Identify and assess application risks across Cognism’s SaaS platform, data processing pipelines, including emerging risks associated with AI/ML capabilities.
• Contribute to AI feature reviews and participate in AI risk assessments to ensure responsible and secure use of models, in a way that balances the need to innovate and challenge the status quo in AI implementation.
• Assess and pragmatically recommend mitigations for security risks in data pipelines, model-training workflows, feature stores, and ML systems, ensuring strong controls for data access, data lineage, model integrity, and protection of sensitive datasets. 

Secure SDLC & DevSecOps Enablement 

• Partner with our engineering and platform team to embed security guardrails into our software development lifecycle and agile engineering workflows.
• Partner with engineering teams to integrate and optimize security tooling into CI/CD pipelines (SAST, SCA, DAST, container scanning, IaC scanning).
• Drive automation and developer-friendly security processes that minimize friction and support rapid delivery. 

Threat Modelling & Architecture Support 

• Conduct and facilitate a self-serve, risk-driven approach to pragmatic threat modelling sessions for new features, services, and AI components.
• Conduct threat modelling for data architectures, including ingestion, transformation, storage, streaming, and ML model deployment patterns, ensuring data confidentiality, integrity, and responsible use.
• Provide hands-on application security guidance to engineering teams, helping them implement secure APIs, microservices, data flows, and integrations.
• Maintain and expand Cognism’s secure coding standards, guidance, and reusable security patterns. 

Application Security Testing & Engineering 

• Perform hands-on security testing (manual and automated) for web applications, microservices, APIs, and cloud components.
• Plan, coordinate, and oversee penetration tests, red team exercises, and third-party security assessments, ensuring findings are addressed and tracked.
• Validate findings, assist with prioritization, and partner with engineering teams on remediation strategies. 

Collaboration, Education & Influence 

• Work directly with product squads, acting as a trusted advisor and embedded security partner. Take the time to understand what other teams are working on, what business priorities are, and partner with teams to recommend risk mitigations that balance risk with opportunity and that take into account the threat landscape. 
• Deliver security training, workshops, and guidance to improve engineering teams’ security maturity.Communicate security risk and tradeoffs clearly and constructively to technical and nontechnical stakeholders. 

CORE COMPETENCIES 

• Strong technical depth in application security, cloud security, and secure development.
• Understanding of modern data stack components (e.g., data pipelines, feature stores) and the ability to collaborate effectively with data practitioners.
• Deep understanding of communication protocols used for web development is a must-have.
• Hands on experience with web application development, specifically for back-end development is a must-have competency. 
• Risk-Based Prioritization: Ability to distinguish between theoretical security risks and actual business threats, demonstrating a "risk-driven" rather than "compliance-driven" mindset. Comfortable balancing security risk with product and commercial realities.
• Contextual Communication: Capacity to translate complex technical vulnerabilities into business-impact stories that resonate with non-technical stakeholders and product owners. 
• Collaborative Conflict Resolution: Proven track record of approaching engineering friction with transparency and pragmatism, balancing a firm stance on security with a deep care for the developer experience. Pragmatic problem solver with a growth mindset and bias toward action.
• Architectural Empathy: Ability to put yourself in the position of your users (the engineers) to build security guardrails that are repeatable and embedded into existing workflows rather than added as hurdles. 

EDUCATION & EXPERIENCE 

• 5–10+ years of experience in Application Security, Product Security, or Security Engineering roles.
• Strong experience securing cloud native SaaS platforms (AWS preferred) and Data pipelines. 
• Handson experience with secure coding, application testing, and CI/CD security automation.
• Experience working closely with engineering and product teams in agile environments.
• Familiarity with security frameworks such as OWASP ASVS, OWASP Top 10, NIST, ISO 27001/2.
• Experience evaluating and securing AI/ML enabled features is a strong advantage.
• Experience in SME or high-growth SaaS environments preferred.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 2+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
• Exposure to streaming data platforms like Kafka
• Contributions to open-source ML projects

As a Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 2+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
• Exposure to streaming data platforms like Kafka
• Contributions to open-source ML projects

As a Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 2+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
• Exposure to streaming data platforms like Kafka
• Contributions to open-source ML projects

LIFECYCLE MARKETING STRATEGIST

Our Mission is to be able to say - "Anyone in the World below $15M should fire their Agency tomorrow as nobody can beat this Value & Service at this Price"

We are looking for a highly motivated and results-focused Lifecycle Marketing Strategist to join our team.

In this role at Common Thread Collective (CTC), you will serve as a key strategic leader, helping guide our clients toward long-term, scalable growth. Your mission is to ensure predictable and consistent revenue through lifecycle marketing initiatives—leveraging data-driven insights to create forecasts, shape strategic plans, and maintain reliable performance.  At CTC, your expertise is invaluable, covering the elements of CTC's strategic forecasting methods and the foundational principles of retention marketing.

Your responsibilities extend far beyond email execution—you act as a trusted partner to our clients in all areas of customer lifecycle strategy. You clearly articulate the reasoning behind our recommendations, bridging the gap between forecasts and the email, SMS, direct mail, and other lifecycle touchpoints we deploy. Your ability to explain the “why” strengthens client confidence and builds a deeper sense of partnership

You also serve as a dedicated champion of CTC’s distinctive lifecycle approach and the tools that power it.

As a Lifecycle Marketing Strategist, you lead with clarity and intention, ensuring that every initiative is executed with excellence and aligned with client goals

You are energized by complex challenges, take full ownership of outcomes, and commit to designing, refining, and scaling high-impact lifecycle marketing strategies. We operate with the mindset: “Everyday in Every Play, Count on Me”—meaning we uphold accountability, pursue mastery, and consistently deliver meaningful results.

WHAT WE LOOK FOR

This place isn’t for everyone, but it might be for you if…

Our core values are the heart and soul of this incredible Company. The right person for this role will appreciate each of these values, personally subscribe to them, and understand why each is critical to having a great business.

To give ourselves our best shot at accomplishing Our mission, we organize all of our decisions — from recruiting, to hiring, to raises, to promotions, to how we spend our time and money — in the direction of three committed values.

We recognize these values aren't for everyone.

They're challenging. In fact, they're so challenging, that's why we invest so much in supporting our team and why we tend to attract people who are craving the opportunity to do more at work than get a paycheck. We're looking for those who are interested in making their work significant.

AUTODIDACT

• Naturally curious and an autodidact, able to absorb information quickly and effectively, like osmosis. Your commitment to learning sets you apart, absorbing information swiftly and more effectively than your peers.
• Your openness to both offer and embrace feedback as an opportunity for growth and implement it proactively, without needing constant direction.
• Demonstrates resourcefulness, and independently refine your skills without being prompted.
• Thrives in a self-managed environment, showing autonomy, initiative, and a commitment to continuous improvement and not requiring task lists built by their managers and constant oversight.

UNIMPEACHABLE CHARACTER

• Embodies a character that inspires pride in both personal and professional associations.
• Consistently honest, with the courage to acknowledge and communicate hard truths, and the humility to accept them, even when uncomfortable, and never lie in any situation.
• Displays a high level of self-awareness, taking full ownership of outcomes without resorting to a victim mindset.
• Values constructive feedback and integrates it, understanding nothing great is built without feedback.

COMPETITIVE GREATNESS

• Performs at their best when it matters most, The Enjoyment of Hard Challenges.
• Demonstrates an unyielding determination to get things done, regardless of obstacles, time constraints, skills needed, or resources.
• Adapts to changing circumstances, recognizing that true success is about not just meeting, but exceeding what is required.
• Possesses a deep passion for their work, using creativity and resilience to overcome any hurdle.

Minimum Experience Requirement  

• At least 2 years of hands-on experience in email and SMS marketing, with proven execution across campaigns, automations, segmentation, and optimization.

• A minimum of 2 years of experience in retention marketing, owning initiatives that drive predictable revenue, customer lifetime value, and ongoing lifecycle improvements

What Success Looks Like

NECESSARY SKILLS

KICK OFF PERIOD

• Be willing to put in the hard work required and be hungry enough to go through the kick off.
• Being ready and prepared for this to be the hardest job you have ever worked, as you would fundamentally develop a high-leverage new skill.
• The ability to take feedback and implement it fast.
• Finish the work to the fullest with quality and on time.
• Perseverance.
• Remember and learn from the repetitive doing of the exercises.

ONBOARDING

• Align with the team and contribute to the team called Brain Trust for Ideas across clients.
• Manage, align & work with the team members of your pod including Growth strategist, Meta/Google/Channel Media Buyer and Creative Strategist.
• Ability to organize, prioritize, and manage multiple tasks with great attention to detail.
• Upkeep of data integrity of your clients across Statlas and other tracking tools.
• Be responsible for the execution of the Prophit system for your clients
• Building an Email Forecast for your clients
  • Utilizing a Growth map using the Prophet System
  • Data Analysis required during analysis of past campaigns and flows etc
  • Marketing calendar alignment and upkeep with clients
• The Monthly Execution and Actualisation vs the Forecast.
  • You make tactical deconstructions and actualize the projections each month, and determine additional resources required to meet KPIs.
• Combine data analysis and feedback from clients to develop strategic plans for the future.
• When it's time to pivot you are among the first early adopters
• Take a lead in situations that present any obstacle to execution.
• An insatiable curiosity, and an inability to leave a problem alone until you've found one or many different potential solutions.
• Responsible for the implementation of CTC's Email and SMS best practices
• Leverage tools like memberships, subscriptions, loyalty programs, popups, quizzes, cart drawers, post-purchase upsell tools, direct mail and more, to impact retention metrics.
• Upkeep and management of our ideologies and processes throughout the account.
• Monitoring active campaigns, and deploying additional resources, or updating strategy to ensure the best possible chance of hitting the Projected Targets.
• Implementing tests in your accounts in an effort to beat your best-performing campaigns.

ENSURING AND HOLDING THE STANDARD OF QUALITY OF WORK

• Ensuring deliverables are on-brand 100% of the time, in collaboration with designers and copywriters.
• Ensuring that automations, campaigns and any other retention tool has the correct technical setups and work in tandem to achieve desired business outcomes
• Ensuring alignment with the client vs the forecast & strategy
• Ensuring above benchmark client satisfaction rate feedback
• Ensuring following the Prophit system execution to 100% within the timeline required.
• Ensuring all the work is delivered based on the timeline assigned with optimal quality & attention to detail.

Client Communication

• You are a champion of communication, ensuring the client is aligned on Retention goals aligned with revenue goals on the Growth Map and next steps, while making sure everybody on your team has clarity on what is required with exact deadlines.
• Responsible for sending daily performance updates to the client
• Ensure alignment across Strategy and Forecast with the client for every week of the month.
• Providing weekly updates via Slack.
• Report where required, collaborating with Growth Strategists and Media Buyers.
  
  

CONTRIBUTING BACK

• Contributing your learnings back to the system for feedback and continuous improvement.
• Contributing & collaborating in ideas and learning across teams.
• Contributing to ideas and learning in future company content production.

NEXT-LEVEL SKILLS

Communication Skills

• Fluent in English, with a proven ability to communicate persuasively and present ideas clearly to various stakeholders.
• Skilled in crafting thoughtful, empathetic client messaging that resonates, demonstrating a high level of emotional intelligence.
• Strong presentation skills, capable of delivering compelling presentations that drive engagement and decision-making.

Great Data Analysis skills

• Strong raw talent for data analysis, with an eagerness to learn and improve.
• Familiarity with data tools, including Google Sheets, with the flexibility to develop advanced skills through on-the-job experience.

Past Experience 

• Historical expertise that compounds to bring a well-rounded perspective and adds value to the role.
• A breadth of experience from any of the multiple domains, including mathematics, data analytics, copywriting, email/sms marketing etc.

Critical Thinking 

• Ability to approach challenges with structured thinking, utilizing logical frameworks to effectively solve complex problems.
• Naturally adept at dissecting issues and proposing practical, impactful solutions.

Impact

• Passionate about e-commerce and eager to contribute to a high-performing team at the forefront of the industry.
• Highly motivated and hardworking, with a strong desire to learn, grow, and make a meaningful impact.
• Thrives in environments where they can see the direct results of their actions on the business, with a strong preference for roles that offer full accountability and autonomy.

Results 

You will merge the Retention, Growth and elements of finance to build a forecasted strategy to help the business achieve its goal.

• Achieve certification and confidence in our ideology by the end of training, enabling precise execution of the Prophit system to ensure top-quality results for clients.
• Consistently deliver high-accuracy performance of retention, far beyond the email/sms platform, referring to the Prophit system's Growth Map and Statlas.
• Lead and collaborate with your team to optimize productivity and maintain high-performance standards.
• Apply best practices in email and sms marketing to drive outstanding results, ensuring no one could achieve better outcomes in your role.
• Maintain client satisfaction levels above benchmark rates, aligning on forecasts to exceed client expectations.
• Adhere to rigorous quality standards in client feedback, forecasting, email production and execution.
• Meet all deadlines and retention requirements requirements, ensuring timely and on Target Performance.
• Contribute valuable ideas to team discussions and company-wide content, supporting growth and innovation.

JOB SCOPE

• Oversee the profitable growth of retention channels, including but not limited to email, sms, direct mail, popups and push notifications. Where required, you may work within subscription, membership, loyalty programs and more.
• Write briefs and ensure the rest of the team is able to execute on it
• Complete reports with a high degree of accuracy, checking against multiple data points
• Analyse metrics and KPIs to measure the effectiveness of retention efforts, providing insights and recommendations for improvements, with Statlas and the Growth Map as your guide.
• Collaborate with design, content and any other relevant teams to create compelling and engaging email content, ensuring brand consistency and messaging alignment.
• Ensure the timely delivery of relevant deliverables (emails, sms etc), which includes effective internal project management and management of clients and their teams.
• Stay updated with industry trends, new features, and best practices in retention marketing to continuously optimize performance.
• This is a client-facing role. So you must be able to consult clients and solve business problems, far beyond the email platform.
• Prioritize the development of relational equity with your team and clients to foster lasting relationships for the continued growth of CTC and our client businesses.

WHAT’S IN IT FOR ME?

SALARY RANGE

• First 30 days – $1.5K (Part-time transition phase)

  • Give notice at your current job (if applicable)

  • Participate in daily training for the first 15 days

  • Shadow and support ongoing accounts during the next 15 days while preparing to take on your own clients

  Days 31–60 – $3K (Full-time start)

  • Transition to full-time

  • Begin managing your first 3 client accounts independently

  Days 61–90 – $4–5K + performance bonuses

  • Continue growing your portfolio

  • Earn bonuses based on hitting revenue targets

  •  Negotiate your term contract annually

This will depend on the amount of clients and the quality of work.

Growth, Transparency, and Fairness in Career Development

• Progress is Clearly Defined
  • Depends primarily on your experience with the system & quality of execution against it. Following a well-defined path for the first 12 months and how exactly you can grow to be promoted to the next level.
• Fairness and transparency are prioritized
  • Access a weekly performance dashboard to see exactly where you stand compared to team members on both objective and subjective metrics.
• Pay transparency is upheld for all team members
  • With consistent contract terms and a clear roadmap for increasing earnings, ensuring everyone understands the path to greater compensation. We will also talk monthly about how you can progress
• My Commitment to You:
  • You will work harder, learn more than ever before, and get recognized by the world for your expertise. You will gain a diverse skill set while actively contributing to the continuous development of new tools and improvements within our system. In doing so you will have an incredible opportunity for rapid career progression.
  • We will continue to provide you mentorship through every step of your development in the role and promotion from it. We will then continue to provide feedback against the expectation and evaluate against it.

Location & Environment

• Fully remote with the ability to pick your schedule.
• Embrace autonomy as a core value, with clear expectations, regular 1:1 feedback sessions, and measurable quality benchmarks to support personal growth. Exceptional work is recognized and rewarded, with weekly check-ins for accountability, ensuring you're consistently challenged and engaged with new opportunities daily.

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

RETENTION STRATEGIST

Our Mission is to be able to say - "Anyone in the World below $15M should fire their Agency tomorrow as nobody can beat this Value & Service at this Price"

We are seeking a Driven and Results-Oriented Retention Strategist to join our team.

The Retention Strategist at Common Thread Collective (CTC) plays a critical leadership role in guiding our clients toward sustainable and scalable growth. This position is all about owning ensuring revenue is delivered predictably for the business through retention marketing efforts —using data-backed insights to build forecasts, shape strategic direction, and ensure consistent performance delivery. At CTC, your expertise is invaluable, covering the elements of CTC's strategic forecasting methods and the foundational principles of retention marketing.

Your role isn't limited to email strategy—you're a key partner to our clients on Customer Retention. You proactively communicate the rationale behind our approach and connect the dots between forecasts and the emails/sms/direct mail etc that are sent out. That level of clarity builds confidence and deepens trust, ensuring our clients feel supported and understood every step of the way.

You stand as a zealous advocate and representative of CTC's unique approach to retention and its accompanying tools.

 As a Retention Strategist, you lead with precision and vision, ensuring that every initiative meets the highest standards of execution and effectiveness.

You thrive on challenges, take ownership of outcomes, and are committed to building, optimizing, and scaling high-performance marketing strategies. We embrace the mantra, "Everyday in Everyplay, Count on Me," meaning we take full responsibility, drive excellence, and always deliver results.

WHAT WE LOOK FOR

This place isn’t for everyone, but it might be for you if…

Our core values are the heart and soul of this incredible Company. The right person for this role will appreciate each of these values, personally subscribe to them, and understand why each is critical to having a great business.

To give ourselves our best shot at accomplishing Our mission, we organize all of our decisions — from recruiting, to hiring, to raises, to promotions, to how we spend our time and money — in the direction of three committed values.

We recognize these values aren't for everyone.

They're challenging. In fact, they're so challenging, that's why we invest so much in supporting our team and why we tend to attract people who are craving the opportunity to do more at work than get a paycheck. We're looking for those who are interested in making their work significant.

AUTODIDACT

• Naturally curious and an autodidact, able to absorb information quickly and effectively, like osmosis. Your commitment to learning sets you apart, absorbing information swiftly and more effectively than your peers.
• Your openness to both offer and embrace feedback as an opportunity for growth and implement it proactively, without needing constant direction.
• Demonstrates resourcefulness, and independently refine your skills without being prompted.
• Thrives in a self-managed environment, showing autonomy, initiative, and a commitment to continuous improvement and not requiring task lists built by their managers and constant oversight.

UNIMPEACHABLE CHARACTER

• Embodies a character that inspires pride in both personal and professional associations.
• Consistently honest, with the courage to acknowledge and communicate hard truths, and the humility to accept them, even when uncomfortable, and never lie in any situation.
• Displays a high level of self-awareness, taking full ownership of outcomes without resorting to a victim mindset.
• Values constructive feedback and integrates it, understanding nothing great is built without feedback.

COMPETITIVE GREATNESS

• Performs at their best when it matters most, The Enjoyment of Hard Challenges.
• Demonstrates an unyielding determination to get things done, regardless of obstacles, time constraints, skills needed, or resources.
• Adapts to changing circumstances, recognizing that true success is about not just meeting, but exceeding what is required.
• Possesses a deep passion for their work, using creativity and resilience to overcome any hurdle.

Minimum Experience Requirement  

• At least 2 years of hands-on experience in email and SMS marketing, with proven execution across campaigns, automations, segmentation, and optimization.

• A minimum of 2 years of experience in retention marketing, owning initiatives that drive predictable revenue, customer lifetime value, and ongoing lifecycle improvements

What Success Looks Like

NECESSARY SKILLS

KICK OFF PERIOD

• Be willing to put in the hard work required and be hungry enough to go through the kick off.
• Being ready and prepared for this to be the hardest job you have ever worked, as you would fundamentally develop a high-leverage new skill.
• The ability to take feedback and implement it fast.
• Finish the work to the fullest with quality and on time.
• Perseverance.
• Remember and learn from the repetitive doing of the exercises.

ONBOARDING

• Align with the team and contribute to the team called Brain Trust for Ideas across clients.
• Manage, align & work with the team members of your pod including Growth strategist, Meta/Google/Channel Media Buyer and Creative Strategist.
• Ability to organize, prioritize, and manage multiple tasks with great attention to detail.
• Upkeep of data integrity of your clients across Statlas and other tracking tools.
• Be responsible for the execution of the Prophit system for your clients
• Building an Email Forecast for your clients
  • Utilizing a Growth map using the Prophet System
  • Data Analysis required during analysis of past campaigns and flows etc
  • Marketing calendar alignment and upkeep with clients
• The Monthly Execution and Actualisation vs the Forecast.
  • You make tactical deconstructions and actualize the projections each month, and determine additional resources required to meet KPIs.
• Combine data analysis and feedback from clients to develop strategic plans for the future.
• When it's time to pivot you are among the first early adopters
• Take a lead in situations that present any obstacle to execution.
• An insatiable curiosity, and an inability to leave a problem alone until you've found one or many different potential solutions.
• Responsible for the implementation of CTC's Email and SMS best practices
• Leverage tools like memberships, subscriptions, loyalty programs, popups, quizzes, cart drawers, post-purchase upsell tools, direct mail and more, to impact retention metrics.
• Upkeep and management of our ideologies and processes throughout the account.
• Monitoring active campaigns, and deploying additional resources, or updating strategy to ensure the best possible chance of hitting the Projected Targets.
• Implementing tests in your accounts in an effort to beat your best-performing campaigns.

ENSURING AND HOLDING THE STANDARD OF QUALITY OF WORK

• Ensuring deliverables are on-brand 100% of the time, in collaboration with designers and copywriters.
• Ensuring that automations, campaigns and any other retention tool has the correct technical setups and work in tandem to achieve desired business outcomes
• Ensuring alignment with the client vs the forecast & strategy
• Ensuring above benchmark client satisfaction rate feedback
• Ensuring following the Prophit system execution to 100% within the timeline required.
• Ensuring all the work is delivered based on the timeline assigned with optimal quality & attention to detail.

Client Communication

• You are a champion of communication, ensuring the client is aligned on Retention goals aligned with revenue goals on the Growth Map and next steps, while making sure everybody on your team has clarity on what is required with exact deadlines.
• Responsible for sending daily performance updates to the client
• Ensure alignment across Strategy and Forecast with the client for every week of the month.
• Providing weekly updates via Slack.
• Report where required, collaborating with Growth Strategists and Media Buyers.
  
  

CONTRIBUTING BACK

• Contributing your learnings back to the system for feedback and continuous improvement.
• Contributing & collaborating in ideas and learning across teams.
• Contributing to ideas and learning in future company content production.

NEXT-LEVEL SKILLS

Communication Skills

• Fluent in English, with a proven ability to communicate persuasively and present ideas clearly to various stakeholders.
• Skilled in crafting thoughtful, empathetic client messaging that resonates, demonstrating a high level of emotional intelligence.
• Strong presentation skills, capable of delivering compelling presentations that drive engagement and decision-making.

Great Data Analysis skills

• Strong raw talent for data analysis, with an eagerness to learn and improve.
• Familiarity with data tools, including Google Sheets, with the flexibility to develop advanced skills through on-the-job experience.

Past Experience 

• Historical expertise that compounds to bring a well-rounded perspective and adds value to the role.
• A breadth of experience from any of the multiple domains, including mathematics, data analytics, copywriting, email/sms marketing etc.

Critical Thinking 

• Ability to approach challenges with structured thinking, utilizing logical frameworks to effectively solve complex problems.
• Naturally adept at dissecting issues and proposing practical, impactful solutions.

Impact

• Passionate about e-commerce and eager to contribute to a high-performing team at the forefront of the industry.
• Highly motivated and hardworking, with a strong desire to learn, grow, and make a meaningful impact.
• Thrives in environments where they can see the direct results of their actions on the business, with a strong preference for roles that offer full accountability and autonomy.

Results 

You will merge the Retention, Growth and elements of finance to build a forecasted strategy to help the business achieve its goal.

• Achieve certification and confidence in our ideology by the end of training, enabling precise execution of the Prophit system to ensure top-quality results for clients.
• Consistently deliver high-accuracy performance of retention, far beyond the email/sms platform, referring to the Prophit system's Growth Map and Statlas.
• Lead and collaborate with your team to optimize productivity and maintain high-performance standards.
• Apply best practices in email and sms marketing to drive outstanding results, ensuring no one could achieve better outcomes in your role.
• Maintain client satisfaction levels above benchmark rates, aligning on forecasts to exceed client expectations.
• Adhere to rigorous quality standards in client feedback, forecasting, email production and execution.
• Meet all deadlines and retention requirements requirements, ensuring timely and on Target Performance.
• Contribute valuable ideas to team discussions and company-wide content, supporting growth and innovation.

DOMAIN

MANAGEMENT

• Your supervisor would be Josh Tay, The Director of Retention. 
• As a Retention Strategist, you'll report directly to Josh — a leader known for challenging the norms of retention marketing and alignment with real business growth. Josh is known by his team, and all he’s worked with before, as someone who will make you level up in your thinking. Every team member has walked away being a better retention strategist after working with Josh, that’s his promise to you, no matter if you’ve worked with him for 1 month, 1 year or 5 years

Working under Josh’s guidance will push you to your limits in the best possible way. He models the value of “do whatever it takes to be the absolute best”, and learning from him means you’ll level up in knowledge, perspective and precision. Josh is committed to personally ensuring you reach your full potential as a Retention Strategist, supporting your journey every step of the way.

JOB SCOPE

• Oversee the profitable growth of retention channels, including but not limited to email, sms, direct mail, popups and push notifications. Where required, you may work within subscription, membership, loyalty programs and more.
• Write briefs and ensure the rest of the team is able to execute on it
• Complete reports with a high degree of accuracy, checking against multiple data points
• Analyse metrics and KPIs to measure the effectiveness of retention efforts, providing insights and recommendations for improvements, with Statlas and the Growth Map as your guide.
• Collaborate with design, content and any other relevant teams to create compelling and engaging email content, ensuring brand consistency and messaging alignment.
• Ensure the timely delivery of relevant deliverables (emails, sms etc), which includes effective internal project management and management of clients and their teams.
• Stay updated with industry trends, new features, and best practices in retention marketing to continuously optimize performance.
• This is a client-facing role. So you must be able to consult clients and solve business problems, far beyond the email platform.
• Prioritize the development of relational equity with your team and clients to foster lasting relationships for the continued growth of CTC and our client businesses.

WHAT’S IN IT FOR ME?

SALARY RANGE

• First 30 days – $1.5K (Part-time transition phase)

  • Give notice at your current job (if applicable)

  • Participate in daily training for the first 15 days

  • Shadow and support ongoing accounts during the next 15 days while preparing to take on your own clients

  Days 31–60 – $3K (Full-time start)

  • Transition to full-time

  • Begin managing your first 3 client accounts independently

  Days 61–90 – $4–5K + performance bonuses

  • Continue growing your portfolio

  • Earn bonuses based on hitting revenue targets

  •  Negotiate your term contract annually

This will depend on the amount of clients and the quality of work.

Growth, Transparency, and Fairness in Career Development

• Progress is Clearly Defined
  • Depends primarily on your experience with the system & quality of execution against it. Following a well-defined path for the first 12 months and how exactly you can grow to be promoted to the next level.
• Fairness and transparency are prioritized
  • Access a weekly performance dashboard to see exactly where you stand compared to team members on both objective and subjective metrics.
• Pay transparency is upheld for all team members
  • With consistent contract terms and a clear roadmap for increasing earnings, ensuring everyone understands the path to greater compensation. We will also talk monthly about how you can progress
• My Commitment to You:
  • You will work harder, learn more than ever before, and get recognized by the world for your expertise. You will gain a diverse skill set while actively contributing to the continuous development of new tools and improvements within our system. In doing so you will have an incredible opportunity for rapid career progression.
  • We will continue to provide you mentorship through every step of your development in the role and promotion from it. We will then continue to provide feedback against the expectation and evaluate against it.

Location & Environment

• Fully remote with the ability to pick your schedule.
• Embrace autonomy as a core value, with clear expectations, regular 1:1 feedback sessions, and measurable quality benchmarks to support personal growth. Exceptional work is recognized and rewarded, with weekly check-ins for accountability, ensuring you're consistently challenged and engaged with new opportunities daily.