Staff Strategy & Competitive Intelligence Researcher na Super Technologies

Most strategy work in large gaming organisations lives in finance decks and consulting reports — 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 Super, 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.

What the role involves

Always-On Competitive Strategy Intelligence

• Own Super's competitive intelligence function at the strategic level — distinct from and complementary to the campaign-level competitive monitoring run by Market Intelligence
• Operate an AI-augmented monitoring system covering Flutter, Entain, Kindred, Betsson, bet365, DraftKings, FanDuel, Tipico, and regional challengers across Super'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 — 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 Super responses
• React fast to material competitor moves: within 48 hours of a significant announcement, produce a synthesised view with a recommended Super position

Market Sizing, Geographic Strategy & Expansion Cases

• Own Super'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: 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+ Super markets and the priority shortlist of next markets
• Partner with Strategic Finance and Commercial Strategy on enterprise-level strategic questions as a peer, bringing the consumer and competitive grounding their financial models alone cannot produce

External Regulatory & Policy Intelligence

• Build and operate Super'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 — revenue exposure, deposit modelling impact, realistic timelines, and hedged positions
• Represent Super in the right external rooms: industry body working groups (EGBA, IBIA, regional equivalents), regulator consultations, and policy forums — as the strategic intelligence partner to Legal and Public Affairs
• Build relationships with key external stakeholders: regulators, industry associations, policy researchers, and credible external analysts
• Feed regulatory and policy signal directly into the market sizing and competitive intelligence systems

Strategic Narrative & Executive Influence

• Own the strategic narrative told inside Super about our markets, competitors, and position — 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: three-page strategic briefs, quarterly Markets & Competitive Reviews for the Board, and working memos for the CPO ahead of roadmap decisions — concise, opinionated, evidence-grounded, and ending with a recommendation
• Sit inside the most consequential strategic forums at Super: quarterly board prep, annual planning, market-entry committees, and M&A reviews
• Build internal coalitions for strategic positions, equipping the right operators inside the business to argue for them
• Mentor the broader Research and Marketing Intelligence functions on connecting their work to strategic outcomes

Strategic Intelligence Infrastructure

• Own the function's strategic intelligence tool stack: competitor monitoring platforms, regulatory tracking tools, financial intelligence sources, and bespoke AI pipelines
• Build the automation that makes high-throughput strategic intelligence sustainable: ingestion of competitor filings, earnings transcripts, regulator publications, app store data, and ad spend data; LLM-driven synthesis; structured outputs into a queryable knowledge base
• Maintain a strategic intelligence repository: a structured, searchable, AI-queryable corpus of competitor profiles, market models, regulatory positions, and historical strategic decisions and their outcomes
• Set the standard for AI-assisted strategy work across Super — what good looks like, where the failure modes are, and how to use these tools without losing analytical rigour

Why this role at Super

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 Super 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 Super'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
• 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 and genuine investment in your development as a strategist

What we are looking for

• 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: LLM-driven competitor synthesis, automated market monitoring, AI-assisted financial modelling, or equivalent — with the ability to speak in specifics about what was built, what worked, and what failed
• Strong market sizing craft: TAM/SAM/SOM, demand pool modelling, segment economics, and sensitivity analysis — with the ability to 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, having shaped a major strategic decision and able to speak to it in depth
• 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: the ability to connect market and competitive analysis to revenue, margin, and capital allocation outcomes, and to read a competitor's annual report and extract what matters
• Background blending two or more of: top-tier strategy consulting, strategic finance or corporate development at an AI-native technology company, or a senior in-house strategic intelligence role at a multi-market consumer business

Skills & mindset

• A recommendations-first approach to every piece of work — producing clear strategic positions rather than findings, with every deliverable ending in a view that can be defended
• An AI-native working method: designing AI-first strategic intelligence workflows with a clear understanding of where they fail, including confirmation bias in prompt design, hallucinated market data, and narrative compression that loses decisive nuance
• Methodological rigour under speed: the judgement to know when a model is good enough to ship and when assumptions need caveating — without hiding behind false precision
• Executive presence under pressure: the ability to hold a room with the CEO, push back on flawed instinct with evidence, and maintain composure under challenge from the CFO or Board
• Commercial pragmatism: an orientation toward implementable recommendations over theoretically optimal answers, with a clear understanding of strategy as choices made under constraint
• External credibility: the ability to represent Super in regulator meetings and industry body working groups as a serious, authoritative voice
• The ability to build internal coalitions deliberately — bringing the right people along and equipping them to argue for a strategic position, rather than relying on analysis alone to win
• A clear point of view on every strategic question, with the confidence to surface it without hedging and defend it when challenged

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 such as fintech or online brokerage
• 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, and evaluation frameworks for AI-generated strategic content
• Multi-market or pan-European commercial experience, including 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
• A public body of work — published strategic analysis, regulatory submissions, conference talks, or substantive writing — that demonstrates strategic thinking

What we offer

• Medical / Health Insurance
• Open Annual Leave
• Employee Assistance Programme
• Training & Learning Development

Additional benefits vary by country and will be shared during the hiring process.