Role 

We are looking for an AI Operations Engineer to join our team. This is a hybrid role based in our Zagreb office, reporting to Dominik Jurincic within the Red Teaming department. As an AI Operations Engineer, you will support the AI Red Team by operating and scaling the evaluation infrastructure that powers SPLX’s model benchmarks and MCP server registry. You’ll be the engineering force behind our continuous AI security testing workflows, ensuring our evaluation pipelines run reliably across a rapidly expanding ecosystem of LLMs and agentic tools.

What you’ll do (Role Expectations)

• Operate and extend our LLM benchmarking pipeline by integrating new models — whether through provider APIs or self-hosted deployments on virtualized infrastructure — and executing our security suite to populate and maintain the model benchmarks page
• Kick-off and maintain the SPLX MCP server registry by onboarding open-source MCP servers, provisioning their runtime dependencies, and running our dynamic code scanning and security testing against them
• Build and maintain reproducible deployment environments for evaluating third-party AI systems, ensuring consistent and reliable test conditions across diverse model and tooling configurations
• Partner with Red Team engineers and researchers to streamline evaluation workflows, automate recurring testing operations, and surface insights from benchmark and registry data
• Continuously improve the team’s internal tooling and operational processes, identifying opportunities to reduce manual effort and accelerate the cadence of model and MCP evaluations

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• 1+ years of professional software engineering experience with Python, including the ability to ship reliable, production-quality code in a collaborative environment
• Working familiarity with the modern AI/ML ecosystem, including LLM provider APIs, model deployment patterns, and emerging protocols such as the Model Context Protocol (MCP)
• Hands-on experience with containerization (Docker) and deploying applications across cloud or virtualized infrastructure
• Solid working knowledge of REST APIs and modern integration patterns, including authentication, service orchestration, and debugging across distributed components
• Strong attention to detail and a track record of operating consistently in environments where reproducibility, rigor, and follow-through matter

What Will Make You Stand Out (Preferred Qualifications)

• Prior exposure to LLM evaluation, AI security, or red teaming workflows in a research or applied setting
• Familiarity with the broader open-source AI tooling landscape — including MCP servers, model serving frameworks, or agentic systems — and the curiosity to keep up with a fast-moving space
• Background in DevOps, platform engineering, or infrastructure automation, with comfort building reproducible test environments at scale

#LI-MM8 

#LI-HYBRID

Product Manager - Sports 

Super technologies are looking for a Product Manager to lead one of our product teams and help achieve our vision of providing unique and entertaining betting experiences to our customers around the world. You will join the wider Product Management department, working with the best talent to design and deliver industry-leading products that drive customer and business value in our Sports product. You will focus on providing our customers with an innovative, engaging experience driving customer perception and player retention.  

We're looking for someone with: 

• 5+ years experience as a Product Manager working with Engineering teams; 

• Customer-focused and data-driven with a passion for solving customer problems; 

• Outstanding verbal and written communication skills; 

• Thrives in a fast-paced, results-driven environment; 

• Self-motivated, organized and able to drive the Product Strategy; 

• Understanding of technology and agile development methodologies; 

• Experience working with B2C mobile applications would be highly preferable  

• Excellent English language skills. 

What you'll be doing 

Customer and Competitor Insight 

• Lead on customer research, discovery and defining customer value for our products; 

• Drive discovery and utilize customer feedback from multiple touchpoints across the organization to build a picture of customer problems, opportunities and customer behaviour; 

• Make data-driven decisions utilizing customer research, behavioural, product and commercial data; 

• Work with Data Analysts to develop the reporting capabilities necessary to understand and measure customer behaviour; 

• Define what success looks like for our product and use data to measure success for our products; 

• Be responsible for the measurement and success of the product in-life and testing and iterating on the product to achieve the product objectives measured through success metrics; 

• Awareness of our key competitors and ongoing monitoring of competitor offering;  

Execution 

• Take ownership of the customer journey end to end, ensuring that customer value is always the key priority for the team 

• Identify and understand our Customer’s behaviour and needs to define hypotheses and requirements that shape suitable features and journeys 

• Create best-in-class product features and journeys that help take the player experience to the next level, 

• Work with designers, engineers and stakeholders to define and deliver reliable, scalable solutions to customer problems; 

• Coordinate product launch plans with marketing, commercial, operations, and support teams 

• Develop a deep knowledge of the Superbet product 

• Be aware of regulatory compliance, GDPR requirements, and legal positioning of the Sports Betting and Gaming industry and how these impact product features and requirements 

Influencing People 

• Engage with your stakeholders to understand their expectations and incorporate their feedback, where appropriate. 

• Set the right expectations with stakeholders and effectively communicate status and progress on outcomes and deliverables. 

Product Strategy and Roadmap 

• Understand the overall strategic direction of the company and how your area relates 

• Build and maintain a roadmap for your area that aims to deliver on short-term and long-term objectives, which align with the overall company and product strategy 

• Drive your roadmap from ideation and product discovery through to in-life product 

• Prioritize initiatives based on Customer Value, Business Viability and Technology feasibility; 

• Be responsible for inputting into and defining the quarterly Objectives and Key Results within your product team 

Super technologies are looking for a Senior Product Manager to lead one of our product teams and help achieve our vision of providing unique and entertaining betting experiences to our customers around the world. You will join the wider Product Management department, working with the best talent to design and deliver industry-leading products that drive customer and business value in our Sports product. You will focus on providing our customers with an innovative, engaging experience driving customer perception and player retention.  

We're looking for someone with: 

• 5+ years experience as a Product Manager working with Engineering teams; 

• Customer-focused and data-driven with a passion for solving customer problems; 

• Outstanding verbal and written communication skills; 

• Thrives in a fast-paced, results-driven environment; 

• Self-motivated, organized and able to drive the Product Strategy; 

• Understanding of technology and agile development methodologies; 

• Experience working with B2C mobile applications would be highly preferable  

• Excellent English language skills. 

What you'll be doing 

Customer and Competitor Insight 

• Lead on customer research, discovery and defining customer value for our products; 

• Drive discovery and utilize customer feedback from multiple touchpoints across the organization to build a picture of customer problems, opportunities and customer behaviour; 

• Make data-driven decisions utilizing customer research, behavioural, product and commercial data; 

• Work with Data Analysts to develop the reporting capabilities necessary to understand and measure customer behaviour; 

• Define what success looks like for our product and use data to measure success for our products; 

• Be responsible for the measurement and success of the product in-life and testing and iterating on the product to achieve the product objectives measured through success metrics; 

• Awareness of our key competitors and ongoing monitoring of competitor offering;  

Execution 

• Take ownership of the customer journey end to end, ensuring that customer value is always the key priority for the team 

• Identify and understand our Customer’s behaviour and needs to define hypotheses and requirements that shape suitable features and journeys 

• Create best-in-class product features and journeys that help take the player experience to the next level, 

• Work with designers, engineers and stakeholders to define and deliver reliable, scalable solutions to customer problems; 

• Coordinate product launch plans with marketing, commercial, operations, and support teams 

• Develop a deep knowledge of the Superbet product 

• Be aware of regulatory compliance, GDPR requirements, and legal positioning of the Sports Betting and Gaming industry and how these impact product features and requirements 

Influencing People 

• Engage with your stakeholders to understand their expectations and incorporate their feedback, where appropriate. 

• Set the right expectations with stakeholders and effectively communicate status and progress on outcomes and deliverables. 

Product Strategy and Roadmap 

• Understand the overall strategic direction of the company and how your area relates 

• Build and maintain a roadmap for your area that aims to deliver on short-term and long-term objectives, which align with the overall company and product strategy 

• Drive your roadmap from ideation and product discovery through to in-life product 

• Prioritize initiatives based on Customer Value, Business Viability and Technology feasibility; 

• Be responsible for inputting into and defining the quarterly Objectives and Key Results within your product team 

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 💙

At Wolt, we’re building the leading local commerce platform across Europe and Asia,  helping people discover and get what they need, quickly and reliably.

We’re now taking the next step: building a world-class Retail Media ecosystem across 30+ countries, helping brands and merchants connect with millions of customers through relevant, high-performing advertising and promotions.

About the role

We’re looking for a Regional Lead, Ads & Promotions to drive performance across our Central region (a cluster of key European markets).

You’ll own how Ads & Promotions perform in your region — from revenue and adoption to execution. This is a high-impact role where you’ll turn strategy into action, scale what works, and help build a consistent, high-performing business across countries.

What you’ll be doing

• Own Ads & Promotions performance across your markets, including revenue, adoption, and key commercial KPIs
• Translate strategy into execution by aligning local teams, setting clear targets, and driving weekly performance follow-ups
• Improve how markets sell and scale Ads & Promotions — across both enterprise accounts and SMB / long-tail merchants
• Partner closely with Product, Marketing, and Ops to launch new ad formats, promo tools, and improve adoption of existing solutions
• Build and roll out playbooks and ways of working that reduce performance gaps across markets
• Identify growth opportunities and performance issues using data, and take action to improve results
• Work cross-functionally to drive execution across multiple stakeholders, without direct ownership of all teams

🧠 What we’re looking for

Must have

• 8–12+ years experience in marketplaces, AdTech, Retail Media, or similar
• Proven track record of driving revenue across multiple markets
• Strong commercial mindset with focus on growth and performance
• Experience working across Sales, Product, and Operations
• Data-driven with strong problem-solving skills
• Comfortable in fast-paced, evolving environments

Nice to have

• Experience in retail media, food delivery, or marketplace businesses
• Exposure to self-serve platforms, promotions, or CRM
• Experience scaling SMB / long-tail segments
• Familiarity with AI-driven tools or automation

📈 What success looks like

• Your region consistently meets or exceeds revenue targets
• Strong improvements in adoption, conversion, and productivity
• Reduced performance gaps across markets
• High adoption of new products and initiatives
• Execution becomes scalable and predictable

🌍 Why this role matters

We’re scaling Ads & Promotions into a key growth engine for Wolt globally.

You’ll play a critical role in:

• Driving our $400M+ Ads & Promotions ambition
• Building scalable ways of working across markets
• Turning strategy into consistent, repeatable execution

🤝 Why join Wolt?

• Own a high-impact, multi-country business
• Work at the intersection of Ads, Promotions, AI, and marketplace growth
• Be part of building a category-defining retail media network
• Collaborate with strong teams across Product, Data, and Commercial

Next steps

If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going!

Wolt Ads is constantly expanding and evolving—check out how we help businesses grow and what opportunities lie ahead!  https://explore.wolt.com/en/fin/wolt-ads

Wolt is a Finnish technology company and we’re best known for our food delivery platform. In 2014, we started with restaurant food delivery in Helsinki, Finland. Today, we're in the delivery of (almost) everything, our platform is available in 30+ countries and used by more than 50 million consumers, and our diverse and talented team is already over 14,000 strong. Now, together with DoorDash, we’re building a global leader in our industry.

The role you are looking at is a part of Wolt Market - our very own grocery stores that deliver unprecedented convenience and world leading customer experience. People across 21 countries can order their groceries and have them delivered to their doorstep at lightspeed!

The Category Manager is responsible for building and managing the assortment and trading plan including pricing and promotions, as well as building relationships with suppliers and managing the category performance in Croatia. The Category Manager has full ownership of category performance across assigned categories.

What you’ll be doing

• Having full ownership of assigned category performance, including forecasting, monitoring, and reporting on the business.
• Contributing to driving projects and trading strategy to achieve business goals.
• Defining and continuously updating the assortment at store level to meet customer needs and optimise order economics.
• Leading effective negotiations with suppliers to establish joint goals, improve cost structure, and sustainably grow the P&L.
• Influencing category design, contributing to new product groups, and improving customer experience to deliver growth.
• Creating business plans for new opportunities and developing and executing project plans incorporating merchandising and pricing strategies.
• Working cross functionally with counterparts in stock management, content, operations, marketing, finance, and retail systems to operate and grow the business.
• Continually improving and automating manual processes to enable the team to scale better as the business grows.
• Identifying performance gaps and implementing corrective actions to improve availability, sell through, margin, and waste.

Our humble expectations

• Experience in grocery retail, category management, key account management, consulting, or a similar commercial environment with a proven track record of delivering results ideally with strong exposure to fresh categories.
• Strong experience in supplier negotiations and commercial planning.
• Strong analytical skills and ability to translate data into actionable insights.
• Ability to think both strategically and operationally with high attention to detail.
• Strong communication skills and experience negotiating with internal and external stakeholders.
• Excellent skills in G Suite or MS Office (especially Excel).
• Full professional proficiency in English and Croatian.

Next steps

If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team redefining grocery shopping, then click below to apply and get the conversation going!

We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply and submit your English CV/resume today!

Job details
● 💼 Revenue 
● 📍 Croatia
● 🕜 Full-Time Remote

What you will do
You’ll be the face of Lighthouse for prospective clients, owning the full sales cycle from prospecting to close. This is a hunter role: you carry a quota, you build your own pipeline, and you’re accountable to outcomes and success. No excuses, just results.
What makes this different: you won’t do it alone. Lighthouse is deploying an agent AI infrastructure — Enablement, Pre-Sales, and Coaching agents — alongside a modern revenue stack. AI handles the prep, the sequencing, and the pattern recognition so you can focus on what matters — building
relationships, running sharp discovery, and closing deals.
We work with structured sales methodology, like MEDDPICC to support high-quality deal execution. You’ll advance deals with evidence, protect pricing on value, and forecast with precision. We want to help you use modern tools to become a better seller and achieve great success.

Where you will have impact

• Own your territory and your number. Build and execute a strategic territory plan to generate a net-new pipeline. Maintain 3x pipeline coverage, forecast honestly, and take full accountability for your results. Your quota is your commitment.
• Hunt and build a pipeline. Source a meaningful share of your own pipeline through outbound sequences, ICP targeting, Lighthouse Connect events, and industry conferences. This is not an SDR-reliant role.
• Run a disciplined sales process. Using MEDDPICC to qualify and advance opportunities. Use the AI Pre-Sales Agent to identify gaps before every major call. Advance deals through stage gates with evidence, not optimism. Leverage AI to make your days easier and focus on more selling time.
• Use AI as a force multiplier. Leverage the Enablement Agent for call prep, discovery frameworks, and positioning. Use the Coaching Agent to surface patterns in your pipeline and win rate. Push back on the tools when they’re wrong — help make the system smarter.
• Become a hospitality expert. We will help you understand revenue management workflows well enough to run ROI conversations without a pre-sales overlay on every deal. Position an integrated platform versus point solutions. Know the competitive landscape inside out.
• Drive results beyond net-new. Consistently meet and exceed sales targets through new business and by identifying expansion and upgrade opportunities within your accounts. Partner with Product to share market feedback and influence the roadmap. Represent Lighthouse at industry events to build the brand and your network.

About Our Team
You’ll be a key player in our global Revenue team, a vibrant and ambitious group of over 150 professionals spread across 24 countries. Our team is collaborative, results-obsessed, and passionate about helping hotels succeed. We celebrate wins, support each other through challenges, and provide ample opportunities for you to grow your career within our rapidly expanding organisation.

What’s in it for you

• Flexible working environment: Work from home or at one of our global offices.
• Flexible time off: Autonomy to manage your work-life balance.
• Collaborative team: High-bar, friendly, creative, and passionate colleagues.
• Career development: Workshops, frameworks, tools, training, and processes to realize your full potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Competitive compensation: Proactively maintained to value your work.
• Referral bonuses: Earn rewards for bringing in new talent.

Who You Are

• 2–5 years in a closing sales role, SaaS experience is a must but hunger and skill matters more than industry tenure.
• Self-directed, coachable, and driven to continuously improve. You seek feedback on your calls, your pipeline, and your positioning — and act on it within the next deal, not the next quarter.
• You treat AI tools as a core part of your selling motion, not a novelty. You adopt new tooling quickly and bend it to your style.
• Exceptional command of the English language and native Serbian or Croatian.
• Experience with MEDDPICC or similar qualification frameworks is a plus, not a requirement. What matters is that you bring discipline and structure to how you run deals.
• Strong business acumen with the ability to sell on value, not price. Confident engaging stakeholders from GMs to C-suite.
• You want to win. You prospect when it would be easier not to. You follow up one more time. You’re not okay with a bad quarter.

Lighthouse is an equal opportunity employer. We’re committed to building a diverse, inclusive workplace where everyone belongs. We welcome candidates of all backgrounds, regardless of age, gender, race, religion, sexual orientation, or disability, and provide reasonable accommodations throughout the recruitment process.
Your background doesn’t need to match every bullet point — if you’re passionate about what we do and learn quickly, we’d love to hear from you.

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

Step into a pivotal role at the heart of Enterprise Engineering, where strategy meets execution across a fast-scaling, product-led organisation. As a Technical Program Manager in Super, you’ll operate at the center of multiple high-impact initiatives—connecting four engineering tribes and cross-functional guilds to ensure seamless delivery in a year defined by transformation. Working closely with senior leadership and reporting into the CIO’s office, you will drive the day-to-day orchestration of complex programmes, turning ambitious plans into coordinated action. This is an opportunity to shape how a modern, automation-first platform enables growth, innovation, and operational excellence across an entire enterprise.

Step into a pivotal role at the heart of Enterprise Engineering, where strategy meets execution across a fast-scaling, product-led organisation. As a Technical Program Manager in Super, you’ll operate at the center of multiple high-impact initiatives—connecting four engineering tribes and cross-functional guilds to ensure seamless delivery in a year defined by transformation. Working closely with senior leadership and reporting into the CIO’s office, you will drive the day-to-day orchestration of complex programmes, turning ambitious plans into coordinated action. This is an opportunity to shape how a modern, automation-first platform enables growth, innovation, and operational excellence across an entire enterprise.

Step into a pivotal role at the heart of Enterprise Engineering, where strategy meets execution across a fast-scaling, product-led organisation. As a Technical Program Manager in Super, you’ll operate at the center of multiple high-impact initiatives—connecting four engineering tribes and cross-functional guilds to ensure seamless delivery in a year defined by transformation. Working closely with senior leadership and reporting into the CIO’s office, you will drive the day-to-day orchestration of complex programmes, turning ambitious plans into coordinated action. This is an opportunity to shape how a modern, automation-first platform enables growth, innovation, and operational excellence across an entire enterprise.

Step into a pivotal role at the heart of Enterprise Engineering, where strategy meets execution across a fast-scaling, product-led organisation. As a Technical Program Manager in Super, you’ll operate at the center of multiple high-impact initiatives—connecting four engineering tribes and cross-functional guilds to ensure seamless delivery in a year defined by transformation. Working closely with senior leadership and reporting into the CIO’s office, you will drive the day-to-day orchestration of complex programmes, turning ambitious plans into coordinated action. This is an opportunity to shape how a modern, automation-first platform enables growth, innovation, and operational excellence across an entire enterprise.

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

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.

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.

he Gaming Integrations team is at an inflection point. We operate ~26 provider integrations across three runtimes (Elixir, Node.js, Erlang) and are the critical path for Superbet entering new markets.

This role is a key part of our capacity plan. You'll join a small but high-impact team and immediately contribute to real challenges: rebuilding our game platform into a scalable, multi-studio platform, and accelerating integration delivery so Superbet launches in new countries faster.

What You'll Be Working

• Elixir platform migration: Contributing to the migration of our Node.js/Erlang integrations to the new Elixir-based platform. Feature parity across runtimes is a blocker for many localizations today.
• Game Studio Integrations: Owning the full lifecycle of new provider integrations (launchUrl, authenticate, balance, debit, credit, void) from implementation through production sign-off.
• Platform architecture: Implementing CI/CD pipelines, shared services, and the modular architecture needed to support multiple exclusive gaming studios at scale.
• Operational excellence: Keeping KTLO (keeping the lights on) under 10% of team capacity while maintaining high availability across all 26+ live integrations.

What We Expect

Project Impact

• Consistently high productivity across many concurrent projects, and delivers large scope with quality and mature practices
• Proactively identifies problems and drives resolution, often without guidance
• Leads larger projects or small squads, runs meetings, writes status reports, tracks delivery
• Helps make the people around them move faster by identifying what's slowing the team down
• Demonstrates impact clearly through metrics, not just activity

Engineering Excellence

• Takes end-to-end ownership of product quality: reliability, efficiency, security, and performance
• Drives engineering efficiency improvements across the org (faster onboarding, better tooling, reduced cycle time)
• Becomes the established go-to owner of at least one component or system with expert depth
• Advocates for rapid prototyping and data-driven idea validation
• Develops and tracks metrics that quantify product quality and engineering efficiency

Communication & Collaboration

• Builds working relationships cross-functionally (product, SRE, QA, integration managers, gaming studios)
• Proactively seeks and acts on feedback
• Gives detailed, specific positive and constructive feedback to the Tribe lead and teammates
• Facilitates fast learning cycles and nurtures innovation within the team

Organizational Impact

• Actively mentors less-experienced engineers and creates conditions for them to grow
• Participates in recruiting and interviewing (especially for diversity recruiting)
• Onboards new team members and makes codebases easy to ramp up on
• Invests in their own skills and brings new knowledge back to the team (currently relevant: Elixir, Kafka operations, distributed systems at scale)

What We're Looking For

• MUSTs
  • High agency — proven track record of unblocking themselves and helping drive improvements across a team
  • Experience with microservice and event-based architectures
  • Experience with Kafka (operating Kafka in production is a strong bonus)
• Experience
  • 5+ years building high-quality software with strong engineering practices (code reviews, CI/CD, design docs)
  • Experience building highly-available, highly-scalable, distributed backend systems
  • Worked cross-functionally in product organizations alongside product managers, designers, and stakeholders
• Technical
  • Node.js / TypeScript
  • Kafka
  • Elixir or functional programming experience — strong bonus (our strategic direction)
  • Kubernetes, Docker, AWS
  • Experience in the betting or gaming industry
• Cultural & Behavioral
  • Strong collaborator — not a solo player, not an asshole
  • Product engineer mindset — not purely tech-focused, understands business context
  • Strong sense of ownership and problem-solving instinct
  • Clear, direct communication

Why Join Us

• T-shaped team where engineers contribute across the full stack and influence technical direction
• Fully remote, team distributed across Europe
• Partner directly with exclusive Game Studios building casino content for Superbet
• Lead and mentor in a small team with high visibility and real ownership
• High-revenue, high-stakes domain with real business impact
• Help steer the technical strategy of a growing team

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.

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We are looking for a Staff Software Engineer who will operate far beyond the scope of a single team or service. In this role, you will work directly with senior engineering leadership to tackle large, cross-area technical challenges that impact dozens — sometimes hundreds — of services across the platform.

This is a role for someone who thrives on complex systems, ambiguous problems, and high-impact architectural decisions. You will help shape technical strategy, guide major platform evolutions, and ensure our systems remain scalable, reliable, and efficient as we grow.

We're are looking for someone who has:

• A minimum of 8 years of hands on experience in a large scale production environment
• Has experience in designing and implementing solutions on an organizational level, impacting multiple teams/tribes
• Has experience engineering high-quality, highly scalable software 
• A willingness to learn new technologies (we are working with Golang, Erlang)
• Strong system design fundamentals, particularly in distributed systems 
• Ability to analyze complex technical problems and develop clear strategies
• Comfort working in ambiguous, high-impact problem spaces 
• Strong communication skills and the ability to influence technical direction across teams
• A passion for creating user-centric, data driven solutions

Bonus points for:

• Experience in Fintech
• Interest in Functional Programming

What you will do:

• Collaborate closely with engineering leadership and teams to design and implement scalable and robust software solutions
• Analyze complex system challenges and create strategies for improving architecture, scalability, and platform efficiency
• Drive large cross-team initiatives from concept to execution, influencing decisions and aligning multiple teams
• Enhance system automation (scale, resiliency, deployment)
• Build and enhance core platform components and shared libraries (AWS, Go, Erlang, Kafka) used across the organization
• Work with technical and non-technical stakeholders from the wider organization to understand and drive improvements across the platform
• Build on our CloudNative platform, enabling more use of AWS technology to aid in speeding up delivery, scale, and resiliency
• Grow the engineering community, building on the existing process and practices
• Elevate engineering standards, helping teams grow and operate more efficiently

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We are looking for a Staff Software Engineer who will operate far beyond the scope of a single team or service. In this role, you will work directly with senior engineering leadership to tackle large, cross-area technical challenges that impact dozens — sometimes hundreds — of services across the platform.

This is a role for someone who thrives on complex systems, ambiguous problems, and high-impact architectural decisions. You will help shape technical strategy, guide major platform evolutions, and ensure our systems remain scalable, reliable, and efficient as we grow.

We're are looking for someone who has:

• A minimum of 8 years of hands on experience in a large scale production environment
• Has experience in designing and implementing solutions on an organizational level, impacting multiple teams/tribes
• Has experience engineering high-quality, highly scalable software 
• A willingness to learn new technologies (we are working with Golang, Erlang)
• Strong system design fundamentals, particularly in distributed systems 
• Ability to analyze complex technical problems and develop clear strategies
• Comfort working in ambiguous, high-impact problem spaces 
• Strong communication skills and the ability to influence technical direction across teams
• A passion for creating user-centric, data driven solutions

Bonus points for:

• Experience in Fintech
• Interest in Functional Programming

What you will do:

• Collaborate closely with engineering leadership and teams to design and implement scalable and robust software solutions
• Analyze complex system challenges and create strategies for improving architecture, scalability, and platform efficiency
• Drive large cross-team initiatives from concept to execution, influencing decisions and aligning multiple teams
• Enhance system automation (scale, resiliency, deployment)
• Build and enhance core platform components and shared libraries (AWS, Go, Erlang, Kafka) used across the organization
• Work with technical and non-technical stakeholders from the wider organization to understand and drive improvements across the platform
• Build on our CloudNative platform, enabling more use of AWS technology to aid in speeding up delivery, scale, and resiliency
• Grow the engineering community, building on the existing process and practices
• Elevate engineering standards, helping teams grow and operate more efficiently

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

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.

As Super Technologies continues to scale its product and technology platform across multiple markets, we are looking for a Principal Product Go-to-Market (GTM) Manager to own the go-to-market strategy for one of our core product verticals.

This role sits at the intersection of Product, Local Market Operations and Marketing, partnering closely with Product and Country leadership to ensure product innovation translates into clear player value and strong commercial outcomes across markets.

You will work closely with product teams throughout the product lifecycle, bringing market insights, player behaviour and commercial context into how products are built and brought to market.

This role combines strategic ownership with hands-on execution, ensuring products launch successfully across markets and deliver strong player adoption and commercial impact. Depending on the product vertical, the role may also include leadership responsibilities within the GTM function.

What you’ll be doing:

GTM Strategy

• Own and evolve the go-to-market strategy for a major product area, ensuring strong player adoption and commercial impact.
• Define how the product is positioned, launched and scaled across markets, influencing roadmap priorities through market insights and commercial context.
• Contribute to the development of GTM frameworks, processes and best practices that scale across product areas and markets.

Product Partnership

• Partner closely with Product leadership from concept and discovery through launch and iteration as a strategic GTM partner.
• Translate complex product capabilities into clear player value and market narratives.

Product Launches

• Lead and execute go-to-market strategies for new products, features and enhancements to drive player adoption and commercial impact.
• Coordinate cross-functional launches across Product and local market operations teams to ensure markets are operationally ready and launches are executed successfully.

Adoption and Experimentation

• Define success metrics for launches and feature adoption, using experimentation and data insights to continuously refine GTM strategies and improve player engagement.
• Communicate launch performance, insights and GTM learnings to senior stakeholders to inform product and market strategy.

Player Insight

• Champion the player perspective by bringing player behaviour and local market insights into product decisions and roadmap priorities.
• Maintain strong awareness of competitor products, market trends and industry developments to inform product positioning, differentiation and launch strategy.

What we’re looking for:

• 8+ years of experience in Product GTM, Product Marketing, Product Strategy, Product Management or similar roles in high-velocity digital product companies.
• Proven experience launching and scaling complex consumer digital products or high-frequency transactional platforms.
• Strong experience partnering closely with Product teams throughout the product lifecycle.
• Ability to translate complex product capabilities into clear player value and market impact.
• Strong stakeholder management across Product and local market operations teams.
• Comfortable working with data, experimentation and testing to guide decisions and improve outcomes.

Domain experience we value

Experience in high-frequency digital platforms or entertainment products is particularly valuable. This may include:

• Sports betting or sportsbook products
• Online casino or gaming platforms

We’re looking for candidates who enjoy working closely with product teams and are passionate about building great player experiences at scale.

A passion for sports, gaming or entertainment products is highly valued.

Thousands of hotels, resorts, and casinos around the world depend on Duetto’s platform to run their revenue strategy — and you’ll be one of the people making sure it never lets them down. As a Senior DevOps Engineer, you’ll own the infrastructure that powers our global SaaS platform: designing for scale, building for reliability, and driving the kind of security-first culture that keeps us ahead of the curve. If you thrive in complex cloud environments, love solving hard problems, and want your work to have real, tangible impact — this is the role.

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

• Design and implement robust, scalable AWS infrastructure — supporting key system migrations, platform growth, and the reliability our customers depend on.
• Own the reliability, performance, and security of our production environment: high uptime, rapid incident resolution, and proactive capacity planning.
• Build and maintain CI/CD pipelines, deployment automation, and infrastructure-as-code using Terraform, Terragrunt, and Chef.
• Monitor system health using enterprise observability tools (Prometheus, Grafana, DataDog), defining metrics and response playbooks that get ahead of incidents before they happen.
• Lead security-first practices across the infrastructure estate — proactively addressing vulnerabilities and driving SOC 2 compliance.
• Partner with engineering teams to integrate operational requirements into the development lifecycle and align on architecture decisions.
• Champion AI adoption within DevOps and SRE workflows, evaluating tooling that increases team velocity and reduces toil.
• Respond to on-call incidents with urgency — troubleshoot complex issues, lead detailed root cause analyses, and implement fixes that prevent recurrence.

What we’re looking for

You may be a great fit if you have:

• 5+ years in a DevOps, SRE, or infrastructure engineering role.
• Hands-on AWS experience across IAM, VPC, EC2, ELB, RDS, S3, Lambda, API Gateway, Secrets Manager, KMS, CloudWatch, and CloudTrail — including multi-account management and SSO.
• Proficiency with Terraform for infrastructure-as-code, plus experience with configuration management tools like Chef or Ansible.
• Experience with CI/CD tooling including GitHub, GitHub Actions, JFrog Artifactory, and Jenkins, with familiarity with GitOps methodologies.
• Strong working knowledge of enterprise monitoring platforms — Prometheus, Grafana, or DataDog.
• Solid troubleshooting skills and a track record of leading root cause analyses and implementing durable fixes.
• Proficiency reading Java, Ruby, Bash/Zsh, HCL, Python, and JavaScript.
• Experience with SOC 2 compliance and security-first infrastructure practices.
• Comfort with a weekly on-call rotation.

Strong candidates may also have:

• Experience with container and orchestration technologies — Docker, ECS, or EKS.
• Experience migrating workloads from on-prem or colocation environments to AWS.
• Familiarity with Windows Server, SQL Server, IIS, and .NET environments.
• Experience administering and synchronising MongoDB replica sets.
• Knowledge of ISO 27001, Layer 7 load balancing, or Terragrunt.
• Background in hospitality technology.
• A degree in Computer Science or a related field — or equivalent experience.

Why Duetto?

• Infrastructure that matters — your work directly underpins a platform that hotel operators around the world rely on every day. The stakes are real, and so is the satisfaction.
• AI is how we work — we’re not just talking about AI adoption; we’re actively investing in it across every function, including DevOps. You’ll have space to evaluate and implement tooling that makes a genuine difference.
• A team that moves fast — you’ll report into the Senior DevOps Manager and work alongside engineers who are serious about craft, reliability, and continuous improvement.
• Growth with purpose — backed by GrowthCurve Capital, we’re scaling our platform and our team. There’s a lot being built here, and senior engineers have real influence over how it’s done.
• Come as you are — we’re a diverse, distributed team that values different perspectives and builds inclusively.

The details

Location:  Croatia

Work model:  Remote

Reports to:  Senior DevOps Manager

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?

We’d love to hear from you — even if you don’t tick every box. Diverse perspectives and non-traditional paths make our team stronger. Apply and let’s talk.

#LI-REMOTE

This role will play a key part in unlocking growth opportunities, improving partner performance, and removing operational bottlenecks. By strengthening data accuracy, reporting, and financial alignment, we expect to drive greater efficiency and stronger revenue outcomes.

• Faster execution and improved operational efficiency
• Stronger partner performance through data-driven insights
• Higher acquisition quality and scalability
• Reduced bottlenecks across markets

What you’ll be doing:

• Monitor, analyze, and optimize key performance metrics (CPA, LTV, ROI, ARPU) across all markets
• Support day-to-day affiliate operations through data-driven insights, reporting, and performance analysis
• Provide actionable insights to support business decisions across all SUPER markets
• Partner with Finance on revenue planning and forecasting
• Support commercial strategy and P&L tracking, ensuring performance aligns with revenue and profitability targets
• Collaborate with BI and Martech teams to enhance tracking, attribution, and overall data accuracy
• Assist with reconciliation and validation of performance and financial metrics, ensuring alignment across systems and platforms
• Develop and maintain a centralized data repository and dashboards to track performance and support decision-making
• Work closely with Affiliate and Commercial teams to identify growth opportunities and optimize partner performance

What we’re looking for:

• Bachelor’s degree in Business Administration, Data Analytics, Economics or related field
• Experience in data and/or business analysis, financial planning, process improvement roles, preferably in a fast-paced, digital-first or consumer-focused industry
• Advanced proficiency in Microsoft Excel (modeling) and data visualization tools like Tableau or Power BI
• Experience working with large datasets and performing forecasting, trend analysis, and performance tracking and optimization
• Ability to support growth strategies and identify key drivers for acquisition and efficiency
• Experience with process automation and data workflow optimization
• Building dashboards and reports that translate complex data into clear business and actionable insights
• Strong communication skills and experience working with cross-functional teams (Commercial, Tech, Finance)
• Previous experience in iGaming, online gambling, or affiliate marketing is a plus

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.

We are looking for a Finance Business Partner (G&A) to act as a strategic advisor to senior stakeholders. In this role, you will support decision-making through high-quality financial insights, planning, and performance analysis.

We are looking for a Finance Business Partner (G&A) to act as a strategic advisor to senior stakeholders. In this role, you will support decision-making through high-quality financial insights, planning, and performance analysis.

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.

LIFECYCLE MARKETING STRATEGIST

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

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

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

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

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

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

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

WHAT WE LOOK FOR

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

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

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

We recognize these values aren't for everyone.

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

AUTODIDACT

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

UNIMPEACHABLE CHARACTER

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

COMPETITIVE GREATNESS

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

Minimum Experience Requirement  

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

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

What Success Looks Like

NECESSARY SKILLS

KICK OFF PERIOD

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

ONBOARDING

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

ENSURING AND HOLDING THE STANDARD OF QUALITY OF WORK

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

Client Communication

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

CONTRIBUTING BACK

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

NEXT-LEVEL SKILLS

Communication Skills

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

Great Data Analysis skills

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

Past Experience 

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

Critical Thinking 

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

Impact

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

Results 

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

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

JOB SCOPE

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

WHAT’S IN IT FOR ME?

SALARY RANGE

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

  • Give notice at your current job (if applicable)

  • Participate in daily training for the first 15 days

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

  Days 31–60 – $3K (Full-time start)

  • Transition to full-time

  • Begin managing your first 3 client accounts independently

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

  • Continue growing your portfolio

  • Earn bonuses based on hitting revenue targets

  •  Negotiate your term contract annually

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

Growth, Transparency, and Fairness in Career Development

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

Location & Environment

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

The Role

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

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

What You’ll Do

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

What We’re Looking For

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

Why Join Us?

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

The Role

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

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

What You’ll Do

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

What We’re Looking For

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

Why Join Us?

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

The Role

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

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

What You’ll Do

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

What We’re Looking For

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

Why Join Us?

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

The Role

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

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

What You’ll Do

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