ecosio is a fast-growing, innovative service company and a leading provider of B2B integration, specialising in electronic data interchange (EDI), Web EDI and e-invoicing. ecosio is part of Vertex, Inc., a leading global provider of indirect tax solutions listed on Nasdaq (VERX).

Our brand slogan is Connections That Work as we believe strong connections are central to successful business relationships - both external and internal. At ecosio, we hire individuals from all backgrounds and are committed to creating an inclusive work environment. We are technology lovers, set the highest standards for our solutions, and put innovative ideas first.

Job Description

You'll connect with the role if you enjoy...

• Owning the development of reporting and analytics to measure L&D impact and effectiveness
• Supporting the design and rollout of learning and development programs aligned with business needs
• Facilitating workshops and training sessions (virtual and/or in-person, internal and external)
• Partnering with stakeholders to identify skill gaps, define development priorities and career paths
• Managing and coordinating end-to-end learning initiatives and timelines
• Contributing to performance management and talent development processes
• Curating and maintaining learning content libraries and resources
• Driving engagement and adoption of learning programs across the organization

Qualifications

To connect with ecosio it is important to have…

• Background in Learning & Development, Talent Development, HR, or a related field
• Analytical mindset with the ability to interpret learning data and translate it into improvements
• Experience in instructional design and developing engaging, learner-centered training content
• Strong understanding of adult learning principles and modern learning methodologies
• Experience working with LMS platforms and digital learning tools
• Excellent stakeholder management and communication skills across all levels
• Ability to manage multiple projects in a fast-paced, cross-functional environment

And nice to have...

• Strong facilitation and presentation skills (virtual and/or in-person)
• Familiarity with content authoring tools (e.g. Articulate 360, Rise, Storyline, Canva)
• Experience in career pathing or talent framework design
• Knowledge of performance management processes and tools

Additional Information

By connecting with us you will experience...

• Our remote-first culture lets you work remotely from one of our designated countries
• Flexible working hours to suit your schedule and priorities
• Annual personal development budget to invest in conferences, courses, or career coaching
• Home office allowance to create a workspace that fits your needs
• Regular events and trips to connect, celebrate, and have fun with the team
• Workations of up to 90 days per year within the EU, combining travel and productivity
• Wellbeing support, including mental health resources and employee assistance programs
• Additional country-specific benefits based on your location

Sounds like a connection that works? Then apply now and we will get in touch soon!

As part of our hiring process at ecosio, we conduct standard background checks. You can find more information about them by clicking

HERE

We use Metaview Notetaker to support interview documentation during our recruiting process. Further information on the processing of personal data can be found in our Privacy Policy.

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. We have been certified B Corp and Climate Neutral since 2021. Together, we focus on delivering cutting-edge solutions for some of the world’s leading brands, such as  Meta, Open AI, eBay, Netflix, Logitech, Philips, and more, while fostering an environment of global collaboration and innovation.

JOB PURPOSE

We are looking for a skilled Motion Designer to join our creative team, open to junior and mid-level. In this role, you will collaborate with designers, art directors, and creatives to produce engaging animations and videos that effectively convey concepts and meet client objectives, with a strong focus on translating interactive experiences into compelling visual narratives.

The ideal candidate will have a strong passion for design and gaming, meticulous attention to detail, and a keen eye for composition, storytelling, and shot selection. You should be comfortable identifying the most visually impactful moments and presenting them in a way that captures the essence of a game. Proficiency in industry-standard software, including Adobe After Effects and Premiere Pro, is required.

WHAT YOU’LL DO:

• Develop eye-catching motion graphics for digital platforms, such as social media, websites, and video content.
• Edit video content for social media, offering creative input to develop engaging assets that adhere to brand guidelines, current trends, and social media best practices.
• Translate gameplay into compelling visual content by identifying the most engaging moments, scenes, and perspectives that best represent a game’s identity.
• Apply a strong sense of visual storytelling and shot composition, selecting the right angles, framing, and pacing to showcase game environments, characters, and mechanics in a visually impactful way.
• Collaborate across teams to develop and put into action fresh ideas that align with our clients and objectives.
• Utilize industry-standard software and tools to design and animate graphics, including Adobe After Effects and Premiere Pro.
• Ensure high-quality output by staying informed about emerging trends and technologies in motion design such as AI.
• Manage multiple projects simultaneously, ensuring deadlines are met and deliverables are of the highest quality.
• Work closely with the team and clients to develop and deliver innovative solutions that exceed expectations.
• Maintain a strong attention to detail and quality control throughout the design and production process.

WHAT YOU BRING:

• Professional experience in motion design in a relevant industry or agency experience.
• Develop and refine initial concepts—whether your own or those of others—to produce high-quality animated designs.
• A strong interest in gaming, with an understanding of what makes gameplay visually engaging and worth highlighting.
• A good eye for composition, storytelling, and shot selection, with the ability to identify key moments and present them in a visually compelling way.
• Well organized, responsible and dedicated to your work.
• Self-learning and being able to learn new tools quickly and work in a fast evolving environment.
• A keen interest for design for social media and new trends.
• Proficiency in Adobe After Effects and Premiere Pro.
• Experience in moving AI is a plus but not required.
• Full working proficiency in the English language.

WE OFFER:

Please note that benefits may vary by location.

• Flexible hybrid working policy
• Transparent career development and pay;
• A rewarding, supportive and healthy company culture
• Stay happy and healthy with a contribution to your health through the OpenUp platform, and a multisport programme;
• A reputation for doing good. DEPT® has been a Certified B Corp® since 2021.
• Awesome clients. Whether big, small, local or global — at DEPT® you’ll get the opportunity to work with all of them. And we celebrate all of our successes together!
• The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.
• Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. We have been certified B Corp and Climate Neutral since 2021. This role is part of our Design team, based in Zagreb. Together, we focus on delivering cutting-edge solutions for some of the world’s leading brands, such as  Meta, Open AI, eBay, Netflix, Logitech, Philips, and more, while fostering an environment of global collaboration and innovation.

JOB PURPOSE

We are looking for a skilled Motion Designer to join our creative team, were open to all levels. In this role, you will collaborate with designers, art directors, and creatives to produce engaging animations and videos that effectively convey complex concepts and meet client objectives.

The ideal candidate will have a strong passion for design, meticulous attention to detail, and expertise in industry-standard software, including Adobe After Effects and Premiere Pro.

WHAT YOU’LL DO:

• Develop eye-catching motion graphics for digital platforms, such as social media, websites, and video content.
• Edit video content for social media, offering creative input to develop engaging assets that adhere to brand guidelines, current trends, and social media best practices.
• Collaborate across teams to develop and put into action fresh ideas that align with our clients and objectives.
• Utilize industry-standard software and tools to design and animate graphics, including Adobe After Effects and Premiere Pro.
• Ensure high-quality output by staying informed about emerging trends and technologies in motion design such as AI.
• Manage multiple projects simultaneously, ensuring deadlines are met and deliverables are of the highest quality.
• Work closely with the team and clients to develop and deliver innovative solutions that exceed expectations.
• Maintain a strong attention to detail and quality control throughout the design and production process.

WHAT YOU BRING:

• Professional experience in motion design in a relevant industry or agency experience.
• Develop and refine initial concepts—whether your own or those of others—to produce high-quality animated designs.
• Well organized, responsible and dedicated to your work.
• Self-learning and being able to learn new tools quickly and work in a fast evolving environment.
• A keen interest for design for social media and new trends
• Expert level skills in Adobe After Effects and Premiere Pro.
• Experience in moving AI is a plus but not required.
• Full working proficiency in the English language.

WE OFFER:

Please note that benefits may vary by location.

• Flexible hybrid working policy
• Transparent career development and pay;
• A rewarding, supportive and healthy company culture
• Stay happy and healthy with a contribution to your health through the OpenUp platform, and a multisport programme;
• A reputation for doing good. DEPT® has been a Certified B Corp® since 2021.
• Awesome clients. Whether big, small, local or global — at DEPT® you’ll get the opportunity to work with all of them. And we celebrate all of our successes together!
• The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.
• Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

At Wolt, our Support teams are at the heart of the customer experience, helping customers, merchants, and courier partners every day across multiple markets. The Global Support People team partners closely with leaders to ensure our people strategy supports scale, performance, and engagement in a fast-moving, international environment.

As a People Partner – Global Support, you’ll play a key role in bringing our people strategy to life across Shared Service Centers and stand-alone countries. This is a hands-on role where you’ll work closely with local leaders, acting as a trusted advisor while ensuring global frameworks around compensation, performance, engagement, leadership development and org design are executed consistently and thoughtfully at country level. It’s an exciting moment to join as we continue to evolve our Support organization globally.

What you’ll be doing

In this role, you’ll focus on turning strategy into action and making sure our people's initiatives work in real life, across diverse markets.

Day-to-day in this role you’ll:

• Partner with Regional and Country Heads as the main People Partner for assigned countries and Shared Service Centers
• Execute global people initiatives locally, including compensation cycles, performance management, engagement, leadership development  programs, and org design changes
• Lead the compensation processes in your assigned markets
• Implement and maintain job profiles, levels, and workforce ratios in line with global frameworks
• Run recurring engagement and leadership development initiatives and support leaders in turning insights into concrete actions
• Monitor organizational health metrics (engagement, attrition, headcount, ratios) and drive local improvement initiatives

Our humble expectations 

We don’t expect you to know everything on day one, but these are the essentials for succeeding in this role:

• Solid experience in an HR Business Partner or People Partner role, ideally in a multi-country or operational environment
• Hands-on experience running compensation cycles, performance processes, people development or similar core HR programs
• Strong stakeholder management skills, with the ability to advise and influence operational leaders
• Confidence working with people data and translating insights into practical actions
  A pragmatic, execution-focused mindset with comfort operating in change
• Ability to work across multiple countries and cultures (occasional travel may be required)

What we offer

This role gives you a front-row seat to shaping how people practice scale in a global Support organization.

• A genuinely impactful role where you’ll see your work land locally and make a difference for teams
• Exposure to complex, international people topics across multiple markets
• Close collaboration with senior People leaders and operational leadership
• A chance to grow your strategic thinking while staying close to hands-on execution
• A supportive, ambitious People team that values trust, ownership, and learning

And of course, you’ll be joining Wolt — a company where things move fast, ideas are welcomed, and you’ll keep learning as we grow together.

Next steps

1. An initial conversation with Talent Acquisition
2. Interviews with the hiring manager and key stakeholders
3. A presentation  focused on role fit and ways of working

If this sounds like something you’d enjoy, we’d love to hear from you 💙

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 Kimchi?

Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters - now we're building the execution layer where agents do real work.

Our Infrastructure today: multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API, and deployment flexibility from our GPUs to your VPC. The inference layer is the foundation. What we're hiring for sits on top of it: coding agents, agent runtimes, orchestration systems, and the reliability engineering that makes them actually finish things.

Tech Stack: TypeScript, Go, Kubernetes, AWS/GCP/Azure, MCP, Prometheus/Grafana/Loki, GitLab CI, ArgoCD.

Why harness engineering matters here
OpenAI and Anthropic ship models. They also ship one harness each - the scaffolding that turns a raw model into something that can plan, execute, recover, and complete work. We ship a different kind of harness: one built for cost-conscious, long-horizon autonomy, running on inference infrastructure we control end-to-end.
A decent model with a great harness beats a great model with a bad harness. We've watched this play out. The gap between what today's models can do and what you see them doing is largely a harness gap - and that gap is where we operate.

What you'll build
The ratchet.
Every time our agent makes a mistake, we engineer a solution so it never makes that mistake again. That means hooks that enforce constraints the model "knows" but forgets: pre-commit lint checks, permission gates, context compaction before the window fills. Success is silent, failures are verbose.

Long-horizon execution.
Our harness is built around spec-driven autonomy: meta-prompting, fresh context per task, worktree-per-slice git strategy, automatic replanning, crash recovery, stuck detection. We're implementing Ralph loops - when the model tries to exit, we intercept and reinject the goal into a fresh context. The agent reads state from disk and continues. Multi-session, multi-day work, without context rot.

Planner/executor splits.
Planning with a reasoning model, executing with a fast one, evaluating with a third. Separating generation from evaluation beats self-verification because agents reliably skew positive when grading their own work.

The harness surface.
CLI, TUI, MCP integration, sandboxed execution, telemetry. Our AGENTS.md is short - every line traces to a specific thing that went wrong. TypeScript on the surface, Go where it matters.

Memory and context.
Moving agents off laptops, giving them state that survives across sessions, managing context so information lands where it's actionable. Compaction, tool-call offloading, progressive skill disclosure.

What makes this different (with receipts)
You've seen the pitch: "we route to the best model." Everyone says that. Here's what we actually have:

• GPU infrastructure we own. Not just an API reseller. From GPU placement across clouds to the inference endpoint your agent calls - we control the cost curve.
• A harness-first thesis. We treat agent failures as configuration problems, not model problems. When we moved from a stock harness to our own, completion rates on internal benchmarks improved by 40%+ on the same model.
• Agents.md that earns every line. No brainstormed rules - every constraint in our system prompt traces to a real failure we saw and fixed.

Requirements:

• You've used AI coding agents in anger. Not demos - real work. You have opinions about Claude Code, Codex, OpenCode, Cursor. You know what it feels like when an agent gets stuck and why.
• Strong TypeScript or Go in production. Comfort moving between them. Our surface is TypeScript; our core is Go.
• You think in harness terms. You read "the agent hallucinated" and your first instinct is to ask what context it was missing, what hook should have caught it, what constraint should exist.
• You drive features end-to-end. Design → build → ship → measure → iterate. We don't have layers that absorb ambiguity for you.

Responsibilities:

• Build and evolve the agent harness - ship hooks, permission gates, and context compaction. Every AGENTS.md constraint traces to a failure you personally diagnosed.
• Own long-horizon execution - multi-session task completion via spec-driven prompting, worktree-per-slice git, Ralph loop recovery, and stuck detection. Completion rate is your metric.
• Architect planner/executor/evaluator pipelines - planning with a reasoning model, execution with a fast one, evaluation with a third. No self-verification.
• Manage agent memory and context - state persistence across sessions, context compaction, tool-call offloading. Zero context rot on multi-day work.
• Own the harness surface - CLI, TUI, MCP integrations, sandboxed execution, telemetry. TypeScript on the surface, Go where it matters.

What success looks like (after 6 months):

• You've shipped at least one major harness feature end-to-end: designed it, built it, measured it, iterated.
• You've added constraints to our AGENTS.md based on failures you personally observed and diagnosed.
• You've improved a measurable reliability metric - completion rate, context efficiency, or cost per successful task.
• You've formed strong opinions about where our harness is load-bearing and where it's dead weight.

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.

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.

*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.

The Senior Employee Relations Partner is a strategic role responsible for building and embedding best‑practice employee relations capabilities across the organization. The focus of the role is on knowledge sharing, capability building, and programmatic ER and compliance frameworks, rather than direct ownership of all individual employee relations cases.

The role is designed to create consistency, scalability, and risk mitigation across employee relations and compliance as the company continues to grow and expand internationally.

Key Responsibilities

Employee Relations Strategy & Frameworks

• Design and implement group‑wide employee relations frameworks, policies, and guidelines aligned with local labor regulations and business needs.
• Establish best‑practice ER standards and ensure consistent application across countries and business units.
• Take a programmatic approach to ER, identifying themes, systemic risks, and improvement opportunities across the organization.

Compliance Policies & Governance

• Lead the development, review, and maintenance of employee‑related compliance policies across all relevant topics (e.g. conduct, disciplinary processes, grievances, harassment, ethics, investigations, whistleblowing, working conditions, and related employment compliance areas).
• Ensure compliance policies are globally consistent yet locally adaptable, reflecting applicable labor laws and regulatory requirements in each jurisdiction.
• Partner closely with Legal to ensure policies are legally sound, risk‑mitigated, and aligned with regulatory expectations.
• Establish clear policy governance, ownership, and escalation models, including guidance on interpretation and application by HR and leaders.
• Drive effective policy communication, training, and awareness, ensuring policies are understood and consistently applied across the organization.

Capability Building & Knowledge Sharing

• Build ER and compliance capability within HR and leadership teams through guidance, toolkits, playbooks, and training.
• Act as a center of expertise for complex employee relations and compliance topics, supporting HR teams rather than managing all cases directly.
• Develop and deliver learning sessions, case studies, and practical guidance to upskill local HR teams.

Advisory Role (Not Case Ownership)

• Provide strategic advice and escalation support for complex or high‑risk ER and compliance matters, without assuming responsibility for managing all individual cases end‑to‑end.
• Unlike localized ER roles (e.g. full case ownership in specific countries), this role does not manage all ER cases across the business, but supports them through expertise and frameworks.

Risk Management & Insights

• Monitor ER and compliance trends, disputes, and risk exposure to proactively identify and address potential systemic issues.
• Use insights from cases and policy application to continuously improve frameworks, guidance, and training.

Collaboration with Legal

• Work hand‑in‑hand with the Employment Lawyer role under the Legal function.
• Partner closely on:
• Complex employee relations and compliance matters
• Policy interpretation and legal validation
• International expansion into new jurisdictions

Key Stakeholders

• HR Leadership and HR Business Partners
• Local HR Ops
• Legal  - Employment Lawyer
• Senior Leaders and People Managers
• People & Culture, Rewards, Talent, and Compliance functions

Role Scope & Boundaries

• Ownership of ER and employee‑related compliance frameworks.
• Focus on scalable, policy‑driven solutions rather than country‑specific execution.
• ER case management remains with local HR teams, supported by this role through expertise, policies, and governance.

The Senior Employee Relations Partner is a strategic role responsible for building and embedding best‑practice employee relations capabilities across the organization. The focus of the role is on knowledge sharing, capability building, and programmatic ER and compliance frameworks, rather than direct ownership of all individual employee relations cases.

The role is designed to create consistency, scalability, and risk mitigation across employee relations and compliance as the company continues to grow and expand internationally.

Key Responsibilities

Employee Relations Strategy & Frameworks

• Design and implement group‑wide employee relations frameworks, policies, and guidelines aligned with local labor regulations and business needs.
• Establish best‑practice ER standards and ensure consistent application across countries and business units.
• Take a programmatic approach to ER, identifying themes, systemic risks, and improvement opportunities across the organization.

Compliance Policies & Governance

• Lead the development, review, and maintenance of employee‑related compliance policies across all relevant topics (e.g. conduct, disciplinary processes, grievances, harassment, ethics, investigations, whistleblowing, working conditions, and related employment compliance areas).
• Ensure compliance policies are globally consistent yet locally adaptable, reflecting applicable labor laws and regulatory requirements in each jurisdiction.
• Partner closely with Legal to ensure policies are legally sound, risk‑mitigated, and aligned with regulatory expectations.
• Establish clear policy governance, ownership, and escalation models, including guidance on interpretation and application by HR and leaders.
• Drive effective policy communication, training, and awareness, ensuring policies are understood and consistently applied across the organization.

Capability Building & Knowledge Sharing

• Build ER and compliance capability within HR and leadership teams through guidance, toolkits, playbooks, and training.
• Act as a center of expertise for complex employee relations and compliance topics, supporting HR teams rather than managing all cases directly.
• Develop and deliver learning sessions, case studies, and practical guidance to upskill local HR teams.

Advisory Role (Not Case Ownership)

• Provide strategic advice and escalation support for complex or high‑risk ER and compliance matters, without assuming responsibility for managing all individual cases end‑to‑end.
• Unlike localized ER roles (e.g. full case ownership in specific countries), this role does not manage all ER cases across the business, but supports them through expertise and frameworks.

Risk Management & Insights

• Monitor ER and compliance trends, disputes, and risk exposure to proactively identify and address potential systemic issues.
• Use insights from cases and policy application to continuously improve frameworks, guidance, and training.

Collaboration with Legal

• Work hand‑in‑hand with the Employment Lawyer role under the Legal function.
• Partner closely on:
• Complex employee relations and compliance matters
• Policy interpretation and legal validation
• International expansion into new jurisdictions

Key Stakeholders

• HR Leadership and HR Business Partners
• Local HR Ops
• Legal  - Employment Lawyer
• Senior Leaders and People Managers
• People & Culture, Rewards, Talent, and Compliance functions

Role Scope & Boundaries

• Ownership of ER and employee‑related compliance frameworks.
• Focus on scalable, policy‑driven solutions rather than country‑specific execution.
• ER case management remains with local HR teams, supported by this role through expertise, policies, and governance.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

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.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

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.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

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.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

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

Engineering Manager

This isn't a coordination role. It's a people-first, delivery-accountable, technically credible leadership position at the heart of one of the most genuinely interesting engineering transformations in hospitality tech. You'll lead a team of 5–10 engineers through a live monolith-to-microservices migration, a frontend re-platform, and the shift to AI-first engineering — where 50–70% of code is already AI-generated and the management job has fundamentally changed as a result.

What Makes Us Different?

Duetto is the hospitality industry's leading revenue management platform, founded in 2012 by former Wynn Resorts executives who knew the industry needed better technology. We built the world's first Revenue & Profit Operating System — a suite of tools (GameChanger, ScoreBoard, BlockBuster, Advance and more) that goes beyond room pricing to give hotels, resorts and casinos a complete picture of their revenue and profitability. Trusted by clients ranging from independent boutique hotels to global chains, we've been named the #1 Revenue Management Software by HotelTechAwards four years running and the #1 Best Place to Work in Hotel Tech in 2025. Backed by GrowthCurve Capital since 2024, we're accelerating our investment in AI — and we're genuinely passionate about the industry we serve. We build products we're proud of, for customers we care about.

What You'll Be Doing

• You'll lead the people: running structured weekly 1:1s focused on growth and wellbeing, owning the full performance cycle, building hiring pipelines from scratch, and creating the psychological safety that lets engineers do their best work — including raising problems early and challenging assumptions, including yours.
• You'll own delivery: sprint planning, backlog refinement, roadmap trade-offs with your Product Manager, and the discipline to surface scope and timeline risks before they become surprises — you're a co-owner of the roadmap, not an executor of someone else's plan.
• You'll drive technical health: partnering with your Tech Lead on architectural direction, championing observability, documentation, and quality standards, and ensuring the team balances feature delivery with the technical investment that makes them faster over time.
• You'll lead through transformation: supporting your team through the monolith-to-microservices migration, the BLAST frontend platform shift, and the move to a generate-and-review engineering model — coaching engineers to evolve their craft as AI changes what great engineering looks like.
• You'll build team culture: designing sustainable on-call rotations, managing capacity with care, developing engineers at every seniority level, and modelling the work-life balance you want your team to have.
• You'll contribute to the wider org: shaping hiring standards, participating in engineering guilds, partnering with Product, Design, QE, and DevOps, and representing your team's perspective in quarterly planning and cross-functional forums.

What We're Looking For

You may be a good fit if you have:

• 3+ years managing engineering teams of 5 or more, with a track record of hiring, developing, and retaining engineers in a high-growth environment
• Experience building hiring pipelines from scratch — role profiles, structured interviews, offer negotiation, and intentional onboarding
• Demonstrated career development impact: you can speak concretely about engineers you've grown from mid to senior, or senior to staff
• Performance management experience including difficult feedback, written reviews, and PIPs
• Strong software engineering background — you've written production code and can hold a genuine conversation about systems design, API design, and data modelling trade-offs
• Working understanding of distributed systems, microservices, event-driven patterns, and CI/CD
• Remote-first leadership experience: you've built real trust and cohesion across timezones without geographic proximity
• A clear point of view on what engineering management means in an AI-first organisation — what changes about coaching, metrics, code review, and quality when 50–70% of code is AI-generated
• Experience working with or alongside teams using AI coding tools (Claude Code, GitHub Copilot, Cursor, or equivalent)

Strong candidates may also have:

• Familiarity with legacy modernisation — monolith decomposition, migration strategies, delivering features while re-platforming underneath
• Experience with revenue management, dynamic pricing, or B2B SaaS for enterprise hospitality
• Hands-on knowledge of our stack: Java/Spring Boot, TypeScript/React, Next.js, GraphQL, MongoDB, AWS
• Exposure to ML or data-intensive systems: real-time analytics, pricing optimisation, low-latency data processing

Why Duetto?

• You'll be managing at the frontier of AI-first engineering. With 50–70% of code AI-generated and custom agents and agentic workflows already in production, this is a rare opportunity to define what great engineering management looks like when code generation is no longer the bottleneck.
• The transformation is real and consequential. Live monolith decomposition, a frontend re-platform, and an AI-first shift — all simultaneously. These are the moments that define engineering careers and management reputations.
• Clear growth path. EM → Senior EM → Director of Engineering. Duetto promotes from within and takes management seriously as a discipline, not a consolation prize for engineers who stopped coding.
• The work matters. Your teams build systems that process real-time pricing decisions for global hotel brands. It's visible, high-stakes, and genuinely interesting.
• Benefits worth having. Equity participation, comprehensive health, dental and vision coverage, home office stipend, generous PTO, and a learning and development budget.

The Details

• Location: Croatia
• Work model: Remote, distributed across EMEA and Americas timezones
• Reports to: Director of Engineering / VP of Engineering
• Direct reports: 5–10 engineers (1–2 teams)

Duetto is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by applicable law.

Sound like you?

You don't need to have done everything on this list. If you're a people-first leader who's technically credible, genuinely curious about AI-augmented engineering, and energised by the idea of leading teams through real transformation — we'd love to hear from you.

#LI-REMOTE

Staff Software Engineer — Data Platform (Europe)

This is a rare role for an engineer who's genuinely comfortable on both sides of the stack — reading Java Spring Boot services in the morning and writing PySpark pipelines in the afternoon. You'll own the end-to-end data flow that sits behind every pricing decision Duetto makes for thousands of hotels worldwide, bridging our Java core platform and Python data layer while working in an engineering culture where AI is already how the work gets done.

What Makes Us Different?

Duetto is the hospitality industry's leading revenue management platform, founded in 2012 by former Wynn Resorts executives who knew the industry needed better technology. We built the world's first Revenue & Profit Operating System — a suite of tools (GameChanger, ScoreBoard, BlockBuster, Advance and more) that goes beyond room pricing to give hotels, resorts and casinos a complete picture of their revenue and profitability. Trusted by clients ranging from independent boutique hotels to global chains, we've been named the #1 Revenue Management Software by HotelTechAwards four years running and the #1 Best Place to Work in Hotel Tech in 2025. Backed by GrowthCurve Capital since 2024, we're accelerating our investment in AI — and we're genuinely passionate about the industry we serve. We build products we're proud of, for customers we care about.

What You'll Be Doing

• You'll own data pipelines from source to gold — taking data from MongoDB, Kinesis events, RabbitMQ, and PMS/CRS integrations through the full bronze → silver → gold lakehouse architecture, including Iceberg-based ingestion patterns for both batch and near-real-time workloads.
• You'll build connectors and transformations for new data sources — Salesforce, Amadeus, Expedia, and internal platform events — expanding the reach and reliability of the data layer the whole product depends on.
• You'll work across system boundaries: reading Kinesis event schemas and MongoDB data models in the Java platform, then applying that understanding in the Python pipeline codebase — driving schema evolution strategies, data contract enforcement, and backward compatibility across both worlds.
• You'll drive data quality and governance — extending Great Expectations and Data Contract CLI across pipeline tiers, owning Athena views and SQL assets, and building monitoring and alerting for pipeline health, data freshness, and quality drift.
• You'll partner with DevPlatform on event schema design and with data science to operationalise ML workloads, ensuring clean data handoffs across every system boundary.
• You'll work AI-first every day — using Claude Code and MCP tools as a core part of your workflow, contributing to AI-assisted pipeline scaffolding and data discovery tooling alongside a custom multi-agent system built around 17 specialised agents.

What We're Looking For

You may be a good fit if you have:

• 7+ years building production data or backend systems
• Strong proficiency in both Python (PySpark, data engineering) and Java — you can read and navigate Spring/JVM codebases comfortably, not just Python
• Experience with lakehouse or data warehouse architectures on cloud — Iceberg, Delta Lake, Redshift, BigQuery, or Snowflake
• Production experience with AWS data services: Glue, Athena, S3, Lambda
• Experience with workflow orchestration — Airflow, Kestra, Step Functions, or similar
• The ability to work across system boundaries: you understand upstream event schemas, data models, and downstream consumer needs

Strong candidates may also have:

• Hands-on experience with Apache Iceberg — MERGE operations, schema evolution, partition evolution
• Experience with Trino or Presto for federated or interactive SQL analytics at scale
• Experience with dbt for data transformation, modelling, and testing
• Familiarity with data quality frameworks — Great Expectations, Monte Carlo, or similar
• A background in event-driven architectures: Kinesis, Kafka, SQS
• Genuine interest in AI-assisted development and LLM-based engineering workflows
• Familiarity with the hospitality domain or multi-tenant B2B SaaS data challenges

Why Duetto?

• AI-first is the reality, not the roadmap. Every engineer uses Claude Code daily, and you'll be contributing to a custom multi-agent system with 17 specialised agents, human-in-the-loop approval gates, and AI-assisted pipeline generation. This is what modern data engineering looks like.
• Cross-cutting technical ownership. This isn't a siloed data role — you'll operate across Java upstream systems and Python pipelines, with real architectural influence over how data flows through the entire platform.
• The scale and the stakes are real. Millions of pricing decisions processed daily, 80+ integration partners, and a live evolution toward near-real-time streaming. The technical challenges are genuine.
• A team with the right values. Low ego, high EQ, intellectual curiosity, and active mentorship in both directions across a collaborative US and Europe group.
• Modern stack at real scale. Python/PySpark, Apache Iceberg, Airflow, AWS Glue, Terraform, Datadog — tools that matter, used on problems that matter.

The Details

• Location: Croatia (Remote)
• Team: Data Platform
• Direct reports: None
• Travel: None

Duetto is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by applicable law.

Sound like you?

You don't need to be an expert in every technology on this list. If you're a strong engineer who spans Java and Python, cares about data quality, and wants to work somewhere AI is genuinely part of how you build — we'd love to hear from you.

#LI-REMOTE

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

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.

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

About Vumedi:

Vumedi is the largest video education platform for doctors worldwide, dedicated to advancing medical education through innovative video-based learning. Our mission is to empower healthcare professionals by providing them with access to the latest clinical knowledge and surgical techniques from experts around the globe. We curate a vast library of high-quality educational content, enabling users to enhance their skills, stay informed about industry trends, and improve patient outcomes. We are headquartered in Oakland, CA, and have additional offices in Minneapolis, MN, and Zagreb, Croatia. 

We're hiring a Senior DevOps Engineer to lead the development of our digital platform and products at this critical stage of Vumedi’s growth. 

Why join Vumedi right now?

• Build technology that matters in a fast-scaling Silicon Valley digital healthcare company: Your work directly impacts how doctors across the world learn and make decisions that save lives.
• Grow as we grow: Be part of a company in an accelerated growth phase, where expanding teams, products, and markets create real opportunities for ownership, leadership, and career progression.
• Build with AI: Work on applied LLM systems - from intelligent search to AI-driven content agents - and shape how AI transforms medical knowledge delivery.
• Own your craft end-to-end: Take full responsibility for building systems that scale globally and power mission-critical workflows.
• Collaborate globally: Join a world-class team of passionate engineers on modern tech stack which will further drive your career development.
• Have real product impact: Influence the direction of product development by collaborating closely with product and leadership teams.

About the role:

We are looking for a Senior DevOps Engineer to join our engineering team and take ownership of our infrastructure, deployment processes, and overall platform reliability. You will work closely with backend and data teams to support a growing video and data platform used by millions of healthcare professionals worldwide.

In this role, you will focus on improving our CI/CD pipelines, system reliability, and developer experience, while helping scale our cloud infrastructure in a secure and cost-efficient way. You will work extensively with AWS services (compute, storage, networking, IAM, monitoring) and help ensure our systems are reliable, observable, and well-architected.

You’ll also support and enable emerging AI/ML and LLM-powered systems used for large-scale medical content processing, helping build and operate the infrastructure required for these workloads. This includes improving data pipelines, optimizing resource usage, and ensuring production-grade reliability of AI-driven services.

This is a high-impact role with a broad scope—from supporting production systems and data pipelines to driving long-term improvements in how we build, deploy, and operate our platform, with strong ownership and autonomy in shaping DevOps practices.

What you will do:

• Own and improve our infrastructure, CI/CD pipelines, and deployment processes across multiple environments
• Work with AWS services (compute, storage, networking, IAM, monitoring) to ensure scalable, secure, and reliable systems
• Collaborate closely with backend and data teams to support production systems, data pipelines, and overall platform reliability
• Continuously improve developer experience by streamlining workflows, reducing friction, and enabling faster, safer deployments
• Contribute to improving security practices, access control, and compliance of our infrastructure
• Automate infrastructure and workflows using Python 
• Improve observability by implementing and maintaining monitoring, logging, and alerting systems
• Troubleshoot production issues, participate in incident response, and implement long-term fixes to improve system stability
• Identify and drive improvements in performance, scalability, and cost efficiency across the platform
• Support and scale AI/ML and LLM-based systems, ensuring reliable infrastructure for data processing and content classification workloads

Who you are: 

• You have 5+ years of experience in DevOps, SRE, or infrastructure engineering, with a strong focus on cloud-native environments (preferably AWS)
• You have managed cloud infrastructure (networking, IAM, compute, storage) with a strong understanding of security best practices and cost optimization
• You have experience building and maintaining CI/CD pipelines to support rapid, reliable software delivery across multiple environments
• You are comfortable writing Python for automation, scripting, and building internal tooling to improve infrastructure and developer workflows
• You have a strong understanding of monitoring, logging, and observability (e.g., Datadog, Prometheus, CloudWatch), and proactively identifying and resolve issues
• You are comfortable debugging production issues across systems and collaborating with engineering teams to resolve them
• You are proactive, take ownership, and enjoy working in environments with high autonomy and evolving processes
• You communicate clearly and collaborate effectively with engineers, product managers, and other stakeholders
• You are curious and motivated to learn, especially in areas like AI/ML infrastructure and large-scale systems

Required Qualifications:

• 5+ years of experience in DevOps, Site Reliability Engineering, or infrastructure-focused roles
• Proven experience designing and operating scalable, reliable, and secure cloud infrastructure (preferably AWS) in production environments
• Strong understanding of cloud security best practices (IAM, network security, secrets management), preferably within AWS
• Proficiency in Python for automation, scripting, and tooling
• Hands-on experience building and maintaining CI/CD pipelines
• Experience with monitoring, logging, and alerting tools (e.g., Datadog, CloudWatch, Prometheus)
• Experience working in a Linux-based environment
• Ability to drive infrastructure and DevOps strategy, balancing scalability, reliability, and cost
• Experience working cross-functionally and influencing engineering teams on best practices and architectural decisions
• Strong ownership mindset with the ability to operate autonomously in ambiguous environments

Preferred Qualifications:

• Experience supporting or scaling AI/ML or LLM-based systems in production
• You have worked with containerized applications (Docker) and are familiar with orchestration concepts (Kubernetes or ECS is a plus)
• You are familiar with Infrastructure as Code principles (e.g., Terraform) and have experience implementing Infrastructure as Code from scratch in existing environments
• You have experience working with or supporting backend systems and data platforms (e.g., Postgres, Airflow is a plus)
• Background in backend engineering or software development
• Experience working in a fast-paced startup or scale-up environment
• Experience leading and mentoring engineers, while contributing to team-wide best practices

You can expect:

The base salary range for this role is determined by a number of factors, including but not limited to skills and scope required, unique relevant experience, and job-related skills.

Cash salary is but one component of our compensation package. It’s inclusive of base salary, education budget, supplemental health insurance, free meals allowance, work from an alternative workplace allowance, occasional awards - Christmas bonus, and an annual bonus.

We also offer stock options as part of our compensation package, giving you the opportunity to share in the long-term success and growth of the company.

This is a hybrid role, working 3 days a week (Monday, Wednesday, and Friday) in our Zagreb office.

About Vumedi:

Vumedi is the largest video education platform for doctors worldwide, dedicated to advancing medical education through innovative video-based learning. Our mission is to empower healthcare professionals by providing them with access to the latest clinical knowledge and surgical techniques from experts around the globe. We curate a vast library of high-quality educational content, enabling users to enhance their skills, stay informed about industry trends, and improve patient outcomes. We are headquartered in Oakland, CA, and have additional offices in Minneapolis, MN, and Zagreb, Croatia.

We're hiring an Engineering Manager to lead the development of our digital platform and products at this critical stage of Vumedi’s growth. 

Why join Vumedi right now?

• Build technology that matters in a fast-scaling Silicon Valley digital healthcare company: Your work directly impacts how doctors across the world learn and make decisions that save lives.
• Grow as we grow: Be part of a company in an accelerated growth phase, where expanding teams, products, and markets create real opportunities for ownership, leadership, and career progression.
• Build with AI: Work on applied LLM systems - from intelligent search to AI-driven content agents - and shape how AI transforms medical knowledge delivery.
• Own your craft end-to-end: Take full responsibility for building systems that scale globally and power mission-critical workflows.
• Collaborate globally: Join a world-class team of passionate engineers on modern tech stack which will further drive your career development.
• Have real product impact: Influence the direction of product development by collaborating closely with product and leadership teams.

About the role:

As an Engineering Manager you will collaborate with your team to work on the video technology platform. Your time will probably be divided between recruiting for your team, developing strong and productive relationships with them and the stakeholders, and networking both inside and beyond the organisation. You will work closely with partner teams including Product, providing and receiving feedback effectively and aligning on shared deliverables as needed.

What you will do:

• Hold regular 1:1 meetings; show support, give encouragement, and help your team members to further develop their technical and professional skills
• Make process suggestions for achieving team goals
• Be a role model; set the tone through own actions in creating an environment where ideas can be shared, questions can be asked, and individuals are accountable for their own actions
• Recruit high-impact people
• Assign tasks to help your team meet their career development plans
• Participate in the performance review process; recognize and reward other’s work accomplishments
• Stay up-to-date with industry trends, emerging technologies, and best practices in software engineering to drive innovation within the team and the company
• Work closely with product managers, designers, and other stakeholders to define product requirements
• Be an active member of the wider engineering community; share knowledge through community talks and help with brand visibility

Who you are:

Required Qualifications

• You have 10+ years of experience in the web development industry
• You have 4+ years experience and success leading engineering teams and you’ve done hiring, managing performance, supported your team members career development, and provided coaching
• You have excellent communication skills so you’re able to motivate and inspire people
• You can effectively hire and retain a successful team
• You’re goal oriented; you’re able to focus and guide others in accomplishing their work objectives
• You are thoughtful and emphatic leader and so you can effectively partner with others in the organization
• You are adaptive and know how to choose an approach appropriate for the moment
• You understand how to give and receive supportive, constructive feedback 
• BS/MS degree in Computer Science or similar

Preferred Qualifications:

• Experience working in dynamic startup-like environments
• Experienced growth from early stage to a mature business
• Nice to have: familiarity with Django or other modern Python web frameworks, as well as familiarity with React or other modern JavaScript/TypeScript stacks

You can expect:

The base salary range for this role is determined by a number of factors, including but not limited to skills and scope required, unique relevant experience, and job-related skills.

Cash salary is but one component of our compensation package. It’s inclusive of base salary, education budget, supplemental health insurance, free meals allowance, work from an alternative workplace allowance, occasional awards - Christmas bonus, and an annual bonus.

We also offer stock options as part of our compensation package, giving you the opportunity to share in the long-term success and growth of the company.

This is a hybrid role, working 3 days a week (Monday, Wednesday, and Friday) in our Zagreb office.

About Vumedi:

Vumedi is the largest video education platform for doctors worldwide, dedicated to advancing medical education through innovative video-based learning. Our mission is to empower healthcare professionals by providing them with access to the latest clinical knowledge and surgical techniques from experts around the globe. We curate a vast library of high-quality educational content, enabling users to enhance their skills, stay informed about industry trends, and improve patient outcomes. We are headquartered in Oakland, CA, and have additional offices in Minneapolis, MN, and Zagreb, Croatia.

We're hiring a Principal Software Engineer to lead the development of our digital platform and products at this critical stage of Vumedi’s growth. 

Why join Vumedi right now?

• Build technology that matters in a fast-scaling Silicon Valley digital healthcare company: Your work directly impacts how doctors across the world learn and make decisions that save lives.
• Grow as we grow: Be part of a company in an accelerated growth phase, where expanding teams, products, and markets create real opportunities for ownership, leadership, and career progression.
• Build with AI: Work on applied LLM systems - from intelligent search to AI-driven content agents - and shape how AI transforms medical knowledge delivery.
• Own your craft end-to-end: Take full responsibility for building systems that scale globally and power mission-critical workflows.
• Collaborate globally: Join a world-class team of passionate engineers on modern tech stack which will further drive your career development.
• Have real product impact: Influence the direction of product development by collaborating closely with product and leadership teams.

About the role:

We’re looking for a Principal Engineer / Product Architect to lead the next evolution of Vumedi’s product architecture and technical direction. This is a hands-on, high-impact role - shaping how millions of doctors discover, learn, and collaborate through intelligent, scalable systems.

You’ll be both architect and builder, working directly with the CTO and engineering leaders across our US and Croatia teams to bring ambitious ideas from prototype to production.

What you’ll do: 

• Architect the future of Vumedi’s platform - from scalable video systems to AI-powered content discovery and personalized learning experiences.
• Prototype and build AI workflows and agents powered by LLMs (Large Language Models) to transform how doctors interact with knowledge, surface insights, and discover content.
• Work closely with Product, Data, and AI teams to build, deploy, and monitor intelligent services (classification, search relevance, personalization, summarization).
• Define architectural standards across backend, frontend, and infrastructure layers - ensuring reliability, maintainability, and scalability.
• Partner with engineering leadership to drive system migrations and modernization (Python/Django backend, React frontend, AWS infrastructure).
• Mentor engineers across pods and raise the technical bar through design reviews, prototypes, and shared best practices.
• Lead technical exploration of new tools - from vector databases and RAG frameworks to real-time video personalization - to keep Vumedi on the edge of applied AI.

This role is ideal for someone who loves to zoom out on system architecture and zoom in on code - someone who can imagine what Vumedi’s platform looks like in five years, then open their editor and start building it.

Who you are:

• 9+ years of experience building and scaling software systems, ideally in consumer, data, or AI products.
• Proven success as a Principal Engineer, Staff Engineer, or Architect leading major system designs end-to-end.
• Expertise in designing distributed systems and cloud architectures on AWS (EC2, Lambda, S3, CloudFront, ECS, RDS, etc.).
• Experience with LLMs, AI agents, or AI-enabled workflows — building, integrating, or orchestrating intelligent systems.
• Strong understanding of data modeling, API design, caching, and asynchronous event-driven systems.
• Passion for hands-on prototyping and bridging product ideas with technical feasibility.
• Clear communicator who thrives in cross-functional settings and mentors others through influence, not authority.
• Nice to have: familiarity with Django or other modern Python web frameworks, as well as familiarity with React and modern JavaScript/TypeScript stacks.

You can expect:

The base salary range for this role is determined by a number of factors, including but not limited to skills and scope required, unique relevant experience, and job-related skills.

Cash salary is but one component of our compensation package. It’s inclusive of base salary, education budget, supplemental health insurance, free meals allowance, work from an alternative workplace allowance, occasional awards - Christmas bonus, and an annual bonus.

We also offer stock options as part of our compensation package, giving you the opportunity to share in the long-term success and growth of the company.

This is a hybrid role, working 3 days a week (Monday, Wednesday, and Friday) in our Zagreb office.

​​About Vumedi:

Vumedi is the largest video education platform for doctors worldwide, dedicated to advancing medical education through innovative video-based learning. Our mission is to empower healthcare professionals by providing them with access to the latest clinical knowledge and surgical techniques from experts around the globe. We curate a vast library of high-quality educational content, enabling users to enhance their skills, stay informed about industry trends, and improve patient outcomes. We are headquartered in Oakland, CA, and have additional offices in Minneapolis, MN, and Zagreb, Croatia. 

We're hiring a Senior Software Engineer to lead the development of our digital platform and products at this critical stage of Vumedi’s growth. 

Why join Vumedi right now?

• Build technology that matters in a fast-scaling Silicon Valley digital healthcare company: Your work directly impacts how doctors across the world learn and make decisions that save lives.
• Grow as we grow: Be part of a company in an accelerated growth phase, where expanding teams, products, and markets create real opportunities for ownership, leadership, and career progression.
• Build with AI: Work on applied LLM systems - from intelligent search to AI-driven content agents - and shape how AI transforms medical knowledge delivery.
• Own your craft end-to-end: Take full responsibility for building systems that scale globally and power mission-critical workflows.
• Collaborate globally: Join a world-class team of passionate engineers on modern tech stack which will further drive your career development.
• Have real product impact: Influence the direction of product development by collaborating closely with product and leadership teams.

About the role:

In this role you’ll work with the engineering team in Zagreb and cooperate with our product team. This is a unique opportunity to work in a fast growing company and help us build products that make a major impact on the global physician audience. Our digital platform is at the heart of our company and is the base on top of which the company is built. We work on a modern technology stack which is primarily based on Django as a web backend framework, deployed on AWS cloud platform solution.

What you will do:

• Work closely with the engineering and product team on specifying and executing projects on our platform
• In the implementation process, guide more junior team members and clearly communicate any issues and/or roadblocks encountered
• Write automated tests that will cover the new functionality
• Peer-review other team member’s designs and pull requests
• Stay on top of technology trends, especially ones related to our stack. Evaluate and compare possible technology updates and/or new technologies to incorporate in our business. 
• Participate in roadmap discussions, influence what and how we will build. Suggest improvements for our platform and processes
• Collaborate and communicate with other business units on particular projects of interest

Who you are:

You have been in software engineering for 5+ years and have honed your craft, ideally using scripting languages. From this experience you have developed broad competencies, technical skills and you use frameworks to build out products and implement business processes. You have the drive to solve complex problems, and the ability to evaluate tradeoffs concerning limited resources. You have a passion for technology, data and problem solving. 

You Have:

• Experience solving difficult technical problems: Building out new complex features and refactoring existing functionality for extendibility
• Analytical ability: Our platform is complex and over the years of your experience you have tackled issues that required understanding of interoperability of several components: From ways overload on one part of the system influences others, logs correlation and analysis
• Communication skills: You can explain the trade offs when building complex solutions to non-technical colleagues. Ability to analyze scope vs. cost of requirements in order to suggest the best solution
• Mentorship: You’re able to mentor junior engineers, navigating them through the onboarding processes as well as through projects by helping them grow technically, gain visibility and communication skills within the company

Skills and Qualifications:

• Expert in at least one major web framework
• Advanced understanding of relational databases
• Familiarity with Linux operating systems
• BONUSES: Working experience of one major JavaScript framework; familiarity with AWS platform and its core features; DevOps knowledge

You can expect:

The base salary range for this role is determined by a number of factors, including but not limited to skills and scope required, unique relevant experience, and job-related skills.

Cash salary is but one component of our compensation package. It’s inclusive of base salary, education budget, supplemental health insurance, free meals allowance, work from an alternative workplace allowance, occasional awards - Christmas bonus, and an annual bonus.

We also offer stock options as part of our compensation package, giving you the opportunity to share in the long-term success and growth of the company.

This is a hybrid role, working 3 days a week (Monday, Wednesday, and Friday) in our Zagreb office.

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.

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.