Staff Strategy & Competitive Intelligence Researcher

This role exists to close the gap between user research and high-level strategic decision-making. The Staff Strategy & Competitive Intelligence Researcher connects what is known about users to decisions about markets, competitors, and bets. The individual owns the intelligence layer that sits above the existing research stack, taking consumer signal from User Research, behavioural signal from Quant Research, and 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.

This is a blank-sheet mandate to design the company's strategic intelligence capability from first principles. It needs to be a function-an AI-native, embedded, continuous one-and you are the person who builds it.

• Own the company'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 the company'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 the company 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 company responses.
• React fast to material competitor moves: within 48 hours of a significant announcement, produce a synthesised view with a recommended company position.
• Own the company's market sizing capability end-to-end: TAM, SAM, SOM models for every market the company operates in or is 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+ company 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.
• Build and operate the company's regulatory and policy intelligence system: an always-on view of legislative consultations, regulator publications, industry body positions, and political signal across every market the company operates in.
• Translate regulatory developments into commercial implication-revenue exposure, deposit modelling impact, realistic timelines, and hedged positions.
• Represent the company 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.
• Own the strategic narrative told inside the company about its 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 the company: 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.
• 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 the company-what good looks like, where the failure modes are, and how to use these tools without losing analytical rigour.

• 8+ years across strategy, competitive intelligence, market intelligence, corporate development, or strategic research (required).
• At least 3 years in roles where the deliverable was a decision, not a deck (required).
• 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 (required).
• 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 (required).
• Hands-on competitive intelligence experience: monitoring, synthesising, and interpreting competitor strategy at a level appropriate for board and executive consumption (required).
• Direct experience with executive and board-level audiences, having shaped a major strategic decision and able to speak to it in depth (required).
• Track record working in or alongside highly regulated industries-gambling, fintech, healthcare, energy, or equivalent-where regulatory dynamics materially shape strategy (required).
• 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 (required).
• 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 (required).
• MBA, MSc in Economics, Finance, Political Economy, or a related quantitative discipline (nice-to-have).
• PhD welcome but not required (nice-to-have).
• Direct experience in sports betting, online gambling, or adjacent regulated consumer sectors such as fintech or online brokerage (nice-to-have).
• Strong Python proficiency for building market models, automating data pipelines, and prototyping AI-assisted analysis workflows; SQL fluency for working directly with internal data (nice-to-have).
• Experience with strategic intelligence platforms: AlphaSense, Crayon, Klue, Sensor Tower, Apptopia, SimilarWeb, or equivalent (nice-to-have).
• Experience with LLM tooling beyond chat interfaces-building RAG pipelines, structured-output workflows, and evaluation frameworks for AI-generated strategic content (nice-to-have).
• 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 (nice-to-have).
• Working language beyond English-Romanian, Polish, Spanish, German, Dutch, or Portuguese (nice-to-have).
• A public body of work-published strategic analysis, regulatory submissions, conference talks, or substantive writing-that demonstrates strategic thinking (nice-to-have).

• Medical / Health Insurance.
• Open Annual Leave.
• Employee Assistance Programme.
• Training & Learning Development.
• Competitive compensation at Staff IC level with long-term incentive plans and genuine investment in your development as a strategist.

Superbet, which operates under the Super Technologies banner, is a multinational sports betting and gaming group founded in 2008 in Romania by Sacha Dragic. Headquartered in Bucharest, it began with retail betting shops and has grown into one of the leading omni-channel betting operators in Central and Eastern Europe, with a strong focus on digital products. The group employs more than 5,000 people and operates across around a dozen European markets as well as Brazil. Its offices span Romania, Poland, Serbia, the UK, the Netherlands, Belgium, Spain, Croatia, Brazil, Malta and Gibraltar.

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