We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.

About the Role

Most strategy work in large gaming organisations lives in finance decks and consulting reports. It is slow, expensive, and disconnected from the user evidence the research function spends its life generating. This role exists to close that gap.

As Staff Strategy & Competitive Intelligence Researcher at Superbet, you are the person who connects what we know about users to what we decide about markets, competitors, and bets. You own the intelligence layer that sits above the existing research stack — taking the consumer signal from User Research, the behavioural signal from Quant Research, and the campaign-level competitive signal from Market Intelligence, and turning it into a continuous, opinionated strategic view that the CEO, CPO, CMO, and Board can act on.

Concretely, this means: when leadership is debating whether to enter a new geography, you produce the TAM/SAM/SOM, the competitor heat map, the regulatory readiness assessment, and a clear recommendation — in three weeks, not three months. When a competitor announces a major product or M&A move, you have a synthesised interpretation in front of the executive team within 48 hours, not next quarter's strategy review. When a regulator in one of our 12+ markets signals a policy shift, you flag the commercial implication before our competitors have written their first memo on it.

You do not run agency studies or commission outsourced consultancy decks to answer these questions. You operate an AI-native intelligence system that does it continuously, at a fraction of the cost, and with stronger first-party grounding than any external firm can offer. You are the in-house equivalent of a QuantumBlack engagement — but always-on, embedded, and aligned to Superbet's specific commercial reality.

You sit inside the Research function but spend a significant share of your time outside it: in commercial reviews, in regulator conversations, in board-prep sessions, and in the rooms where strategic capital is allocated. Your job is not to produce a report. It is to change a decision.

What AI-Native Means in Practice for This Role

Strategy as a continuous system, not a quarterly artefact. You do not build strategy decks on demand. You operate a live competitive and market intelligence system that updates itself — pulling competitor product releases, financial filings, ad spend signals, regulator publications, and market data into a synthesised, AI-summarised feed that you interpret and act on weekly.

Market sizing as code, not as a one-off Excel. Your TAM/SAM/SOM models are versioned, parameterised, and re-runnable. When the gambling tax changes in Romania, when a competitor enters Brazil, when a regulator caps stakes in the Netherlands — the model updates and the implication is in front of leadership the same day. You build this infrastructure yourself; you do not wait for finance.

LLMs as a synthesis layer over thousands of unstructured strategic signals. Competitor earnings transcripts, regulator consultation responses, industry analyst notes, press releases, executive LinkedIn activity, app store updates, sportsbook pricing data — all of this is now machine-readable. You design the pipelines that surface what matters, validate the outputs critically, and feed the synthesised view into executive decisions.

Synthetic stress-testing before expensive bets. Before recommending a major strategic move, you run AI-driven scenario simulations: how would this play out in three plausible regulatory futures, against two distinct competitor response patterns, across our five highest-value markets? You use this to surface fragility in a strategy before it gets greenlit.

Critical AI judgement as a core skill. You know exactly where AI-generated strategic analysis fails: confirmation bias in prompt design, hallucinated market data, over-confident competitor inferences from sparse signal, narrative compression that loses the decisive nuance. You build validation steps into every workflow and you can defend the methodology to a sceptical CFO.

What You Will Own

Always-On Competitive Strategy Intelligence

Own Superbet's competitive intelligence function at the strategic level — distinct from and complementary to the campaign-level competitive monitoring run by Market Intelligence. Your remit is competitor strategy, not competitor creative.
Operate an AI-augmented monitoring system covering Flutter, Entain, Kindred, Betsson, bet365, DraftKings, FanDuel, Tipico, and the regional challengers in each of Superbet's markets — tracking product roadmap signals, M&A activity, executive hires, regulatory positioning, capital deployment, and pricing strategy.
Build and maintain competitor strategic profiles that go beyond "what they did" to "what it means and what we should do". Each profile is opinionated, decision-oriented, and refreshed continuously.
Produce a monthly Competitive Strategy Briefing for the CEO and executive team: synthesised, sharp, and ending with a clear set of recommended Superbet responses. Not a competitor log — a strategic interpretation.
React fast to material competitor moves: within 48 hours of a significant announcement (M&A, market entry, major product launch, leadership change), you have a synthesised view in front of the executive team with a recommended Superbet position.

Market Sizing, Geographic Strategy & Expansion Cases

Own Superbet's market sizing capability end-to-end: TAM, SAM, SOM models for every market we operate in or are evaluating, plus the methodology and data sources underpinning them.
Build market-sizing infrastructure as code — versioned, parameterised models in Python or equivalent that re-run when inputs change, with clearly documented assumptions and sensitivity analysis built in.
Lead the analytical work behind market-entry, market-deepening, and market-exit decisions. You produce the case: market structure, demand pool, regulatory environment, competitive intensity, segment-level economics, and an integrated recommendation.
Maintain a live view of regulatory and commercial dynamics across all 12+ Superbet markets and the priority shortlist of next markets — what is the win condition in each, who is gaining or losing share, where is the underlying market growing or contracting, and what does that mean for our capital allocation.
Partner with Strategic Finance and Commercial Strategy on enterprise-level strategic questions — not as a downstream input, but as a peer who brings the consumer and competitive grounding their financial models alone cannot produce.

External Regulatory & Policy Intelligence

Build and operate Superbet's regulatory and policy intelligence system: an always-on view of legislative consultations, regulator publications, industry body positions, and political signal across every market we operate in.
Translate regulatory developments into commercial implication: what is the revenue exposure if affordability checks become mandatory in the UK at a tighter threshold; what does the German stake limit consultation imply for our deposit modelling; what is the realistic timeline for Brazil to introduce a deposit cap and what is our hedged position.
Represent Superbet in the right external rooms: industry body working groups (EGBA, IBIA, regional equivalents), regulator consultations, policy forums, and the conversations that shape the operating environment we will live in three years from now. You will not run public affairs alone — that remains with Legal and Public Affairs — but you will be the strategic intelligence partner those functions rely on.
Build relationships with key external stakeholders: regulators, industry associations, policy researchers, and the small number of credible external analysts whose perspective is worth knowing. You are seen, externally, as a serious voice from Superbet.
Feed regulatory and policy signal directly into the market sizing and competitive intelligence systems — they are not separate streams of work; they are inputs to the same strategic view.

Strategic Narrative & Executive Influence

Own the strategic narrative that gets told inside Superbet about our markets, our competitors, and our position. Not the brand narrative — the strategic one. The one that shapes how the CEO answers the board's hardest questions and how the CPO defends a product investment.
Produce executive-grade deliverables calibrated for the audience: a three-page strategic brief for the CEO, a quarterly Markets & Competitive Review for the Board, a working memo for the CPO ahead of a roadmap decision. Concise, opinionated, evidence-grounded, and ending with a recommendation.
Sit inside the most consequential strategic forums in Superbet: quarterly board prep, annual planning, market-entry committees, M&A reviews. Your job is to ensure no major strategic decision is made without the right user, market, and competitive evidence in the room.
Build internal coalitions for strategic positions. The strongest analysis does not win on its own — it wins when the right operators inside the business have been brought along and equipped to argue for it. You do this work deliberately.
Mentor the broader Research and Marketing Intelligence functions on connecting their work to strategic outcomes — not by managing them, but by setting an example of what research-to-decision looks like at the executive level.

Strategic Intelligence Infrastructure

Own the function's strategic intelligence tool stack: competitor monitoring platforms (Crayon, Klue, AlphaSense or equivalent), regulatory tracking tools, financial intelligence sources, and the bespoke AI pipelines you build on top.
Build the automation that makes high-throughput strategic intelligence sustainable: ingestion of competitor 10-Ks, earnings transcripts, regulator publications, app store data, ad spend data; LLM-driven synthesis; structured outputs into a queryable knowledge base.
Maintain a strategic intelligence repository: not a folder of decks, but a structured, searchable, AI-queryable corpus of competitor profiles, market models, regulatory positions, and historical strategic decisions and their outcomes. Institutional memory as a system.
Set the standard for AI-assisted strategy work across Superbet — what good looks like, where the failure modes are, and how to use these tools without losing analytical rigour.

Essential Experience

8+ years across strategy, competitive intelligence, market intelligence, corporate development, or strategic research — with at least 3 years in roles where the deliverable was a decision, not a deck.
Demonstrated experience operating AI-augmented strategy workflows in production — not pilots, not experimentation. LLM-driven competitor synthesis, automated market monitoring, AI-assisted financial modelling, or equivalent. You can speak in specifics about what you built, what worked, and what failed.
Strong market sizing craft: TAM/SAM/SOM, demand pool modelling, segment economics, sensitivity analysis. You can build a market model from scratch in Python or Excel and defend every assumption.
Hands-on competitive intelligence experience: monitoring, synthesising, and interpreting competitor strategy at a level appropriate for board and executive consumption.
Direct experience with executive and board-level audiences. You have walked a CEO or CFO through a strategic recommendation that meaningfully shaped a major decision — and you can talk through it.
Track record working in or alongside highly regulated industries — gambling, fintech, healthcare, energy, or equivalent — where regulatory dynamics materially shape strategy.
Strong financial and commercial literacy. You connect market and competitive analysis to revenue, margin, and capital allocation outcomes. You can read a competitor's 10-K and pull out the three things that matter.
Background blending two or more of: top-tier strategy consulting (McKinsey / BCG / Bain — especially their AI arms QuantumBlack, BCG X, Bain Vector), strategic finance or corporate development at an AI-native technology company (Anthropic, OpenAI, Stripe, Notion, Figma, Spotify, Netflix), or a senior in-house strategic intelligence role at a multi-market consumer business.

Skills & Mindset

Strategist, not analyst. You do not produce findings; you produce recommendations. Every piece of work ends with a clear strategic position you are willing to defend.
AI-native operator. Your default mode of working is AI-augmented. You have moved past "I use AI to help with my analysis" to "I design AI-first strategic intelligence workflows and know exactly where they fail."
Methodological seriousness. You take rigour seriously even when speed is the priority. You know when a model is good enough to ship and when the assumptions are weak enough to caveat. You do not hide behind precision and you do not pretend to it.
Executive presence under pressure. You can hold a room with the CEO, push back on a flawed executive instinct with evidence, and survive an aggressive challenge from the CFO without losing your footing.
Commercial pragmatism. You understand that strategy is about choices under constraint. You are not interested in producing the theoretically optimal answer; you are interested in producing the implementable one.
External credibility. You can sit in a regulator meeting or an industry body working group and be taken seriously as a voice from Superbet — not as a junior representative.
Organisational mover. You build coalitions. You know that being right is not enough; the right people have to be brought along. You do that work deliberately and without resentment.
Quietly opinionated. You do not waste meeting time on hedged positions. When asked what we should do, you have a view, and you can defend it.

Nice to Have

MBA, MSc in Economics, Finance, Political Economy, or a related quantitative discipline. PhD welcome but not required.
Direct experience in sports betting, online gambling, or adjacent regulated consumer sectors (fintech, online brokerage, regulated wellness).
Strong Python proficiency for building market models, automating data pipelines, and prototyping AI-assisted analysis workflows. SQL fluency for working directly with internal data.
Experience with strategic intelligence platforms: AlphaSense, Crayon, Klue, Sensor Tower, Apptopia, SimilarWeb, or equivalent.
Experience with LLM tooling beyond chat interfaces — building RAG pipelines, structured-output workflows, evaluation frameworks for AI-generated strategic content.
Multi-market or pan-European commercial experience. Familiarity with the regulatory architecture of online gambling in any of: UK, Romania, Poland, Italy, Netherlands, Belgium, Germany, or Brazil.
Working language beyond English — Romanian, Polish, Spanish, German, Dutch, or Portuguese all materially useful given Superbet's footprint.
A public body of work — published strategic analysis, regulatory submissions, conference talks, or substantive writing — that demonstrates how you think.

Why This Role at Superbet

Strategy in regulated, multi-market sports betting is a genuinely hard problem. The regulatory architecture differs in every country. Competitor dynamics are non-stationary. Consumer behaviour is emotionally complex and culturally specific. The same product can be the market leader in one country and irrelevant in another. The right strategic move in Romania is the wrong one in Brazil. Add in the policy and political environment, and the strategic surface area is enormous.

This role exists because Superbet is now large enough, multi-market enough, and ambitious enough that this work cannot be outsourced to consulting firms or held in a single CEO's head. It needs to be a function — an AI-native, embedded, continuous one — and you are the person who builds it.

A blank-sheet mandate to design Superbet's strategic intelligence capability from first principles.
Direct exposure to the CEO, CPO, CMO, and Board. Your work will be read by the people allocating the capital, not filed in a repository.
A peer relationship with Strategic Finance, Commercial Strategy, Legal, and Public Affairs — not a reporting line, a partnership.
The full data and infrastructure of a 12+ market consumer business at your disposal. Anything you can model, you can model with real data.
A research function around you that takes consumer and competitive evidence seriously, and a leadership team that will act on it.
Competitive compensation at Staff IC level with long-term incentive plans, plus genuine investment in your development as a strategist.

About Super

We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.

Shaping the Future of Play

Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers

Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).

At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

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