Senior Data Analyst for a Digital Fitness Startup

Product Manager/Owner | Health & Fitness Startup

Fitify

Fitify combines the experience of fitness coaches with the latest technology to enable millions of healthy lifestyle changes. We’re a fast-growing team based in Prague, expanding to US. We’re looking for people keen to work in a fast-paced, data-driven company and are eager to have a direct impact on people’s well-being. Our team comes from various backgrounds and fitness levels - what we share is a craving to build something truly meaningful. As a part of Fitify, you’ll have the opportunity to build a product that is already used by more than 20 million people and use your skills to create a special fitness experience for each one of them. On top of that, you’ll be building the next billion-dollar fitness company from the heart of Europe 🦄 What we offer: 🤩 Great product with a positive impact (millions of healthy lifestyle changes and still counting) 🌎 Seed-stage startup with huge potential (~25 employees neck & neck with apps by Nike, Adidas, or Fitbit...) 💰 Global unicorn ambition, competitive salary, and employee stock options (ESOP) to be opened soon 🔑 Key role in the company and significant impact on the product 💪 Multisport card (free leisure and exercise facilities) 🪑 Cool office with a gym, coffee, and an amazing rooftop in the center of Prague (Národní Třída) Your role: Analyze hard data and user feedback, research the market to identify opportunities for improvements Help prioritize and build the roadmap for future growth Help throughout all the stages of the product development, help designers with features specifications and documentation Communicate closely with the marketing team to align the funnel from the first impression to conversion and long-term retention Specify and execute AB tests, develop tasks for Data Analyst Participate in the business development process (our partners include likes of Mastercard, Huawei, or Apple) Your closest teammates would be Martin and Veronika 👋 Your profile: Full-time, living and breathing the mission Fluent in English Proactive, self-driven, able to work independently Based in Prague (home office up to 50%) Interest in fitness & wellness is a plus We're looking for various levels of experience (Junior to Senior) Want to know more about us? Download Fitify, and read the story of Fitify on Forbes (CZ)

Senior Product Manager - Esims

Oddin.gg

Oddin.gg is the global leader in esports data science and the fastest-growing tech company in Central Europe (Deloitte Technology Fast 50 Winner, 2024 & 2025). We deliver a comprehensive B2B esports betting ecosystem — including an odds feed, robust risk management, a powerful iFrame solution, and 24/7 live content — empowering industry partners like ESPNbet, Betano, Stake, Betway, OpenBet, and Softswiss. With a team of 250+ people across the Czech Republic, Europe, and Asia, we're building the future of esports betting.     About the Role We're looking for a Senior Product Manager to lead product for our eSimulators (eSims) team — a group of mathematicians who build and maintain the models behind Oddin's studio-based 24/7 betting content. eSims features real players competing head-to-head in titles like eFootball, eBasketball, eCricket, eTouchdown, and CS2/Dota 2 Duels, generating 250,000+ matchups annually with 800+ markets available at any time. The mathematical challenges are significant: pricing models, market correlation, BetBuilder combinatorics, player-pair balancing, and margin optimization all require deep quantitative reasoning. You don't need to be a mathematician — but you need to earn the respect of one. Mathematical and quantitative thinking is a hard requirement for this role, not a nice-to-have. The ideal candidate has a credible mathematical or quantitative background, a sharp product instinct for B2B products, and the strategic depth to connect model quality to commercial outcomes.   What You Will Do Define and drive the product strategy and roadmap for the eSims product area, directly tied to company OKRs and revenue goals Partner daily with a team of mathematicians to translate complex model improvements into prioritized, scoped product initiatives with clear success criteria Diagnose model performance issues (margin variance, player-pair imbalances, market correlation gaps) and frame them as product problems with measurable outcomes Make high-stakes prioritization decisions — balancing model quality improvements, new title expansion, operator requests, and team capacity Navigate the deepen vs. expand tension: when to fix existing titles vs. when to launch new ones, and how to align commercial, trading, and math team stakeholders around that call Mentor junior PMs and elevate the broader product team's standards — coaching on prioritization, stakeholder alignment, and quantitative reasoning Actively use AI tools (e.g. Claude, Gemini, Codex) in strategy work, discovery, and collaboration with the math team — we are an AI-first company and expect a senior-level point of view on where AI helps and where it doesn't   Who You Are 5+ years of product management experience, with at least 2 years in a senior or lead PM role Credible mathematical or quantitative background — academic, professional, or both; you can reason about probability, correlation, margin variance, and model trade-offs without being intimidated Strong mathematical thinker — you approach problems with quantitative rigor, can interrogate model assumptions, set measurable acceptance criteria for model improvements, and translate statistical concepts into product decisions Proven track record working alongside highly technical or quantitative specialists (data scientists, mathematicians, quants) Strong strategic thinker: you connect business objectives to product initiatives and can articulate a compelling vision for a product area you own Deep experience in B2B product management — you understand that your customer is an operator, and you think carefully about the interplay between operator needs and end-bettor experience Sophisticated AI user: not just productivity shortcuts, but embedded AI usage in strategy, discovery, and technical collaboration — and a clear view on where AI isn't yet reliable Excellent stakeholder management: comfortable presenting to C-level leadership, aligning mathematicians and commercial teams   Nice to Have Knowledge of the esports ecosystem, competitive gaming, and/or online betting industry Experience with real-time data products, odds feeds, pricing models, or risk management platforms Background in platform or B2B product management where the product is largely invisible to the end user Experience scaling products in a hyper-growth startup environment Familiarity with SQL, Python, or BI tools for hands-on data exploration Experience building or mentoring product teams from the ground up

Senior Manager, AI Process Transformation(Req. #6930)2 Locations

Unknown Employer

Description Xperi invents, develops and delivers technologies that create extraordinary experiences at home and on the go for millions of people around the world. Powering billions of consumer electronics, connected cars and digital content titles, we make entertainment more immersive, driving more intelligent and every interaction seamlessly personalized through our renowned consumer brands: DTS®, HD Radio™ and TiVo®. Xperi (NYSE: XPER) is a publicly traded technology company headquartered in San Jose, CA with over 1,500 employees across North America, Europe and Asia. Come join a thriving team where you can play an integral role in shaping the future of entertainment technology. Role Summary Xperi is expanding its AI Strategy & Operations team to accelerate measurable business value from AI. This role sits within a small, high-impact team operating with a startup mindset, where team members are expected to work collaboratively across a wide range of initiatives and contribute wherever needed. The Senior Manager, AI Process Transformation will initially operate as an individual contributor, responsible for leading AI-enabled process transformation from discovery through implementation. This includes identifying inefficient workflows, redesigning them using AI and automation, and delivering measurable improvements in cost, speed, quality, and scalability. This role is execution-focused, with success defined by implemented solutions and measurable business impact. Core Responsibilities Own end-to-end transformation of business processes, including discovery, mapping, redesign, AI enablement, implementation support, and measurable ROI delivery. Example areas include (but are not limited to) finance, accounting, FP&A, sales operations, and legal workflows, particularly those that are data-intensive, spreadsheet-driven, or reliant on manual processes. Process Discovery & Diagnosis Map current-state workflows including inputs, decisions, handoffs, systems, and manual interventions. Identify inefficiencies, bottlenecks, data fragmentation, and quality gaps that limit performance or scalability. Prioritize opportunities based on business impact, feasibility, and ability to scale across teams. AI-Enabled Process Redesign Define future-state workflows embedding AI capabilities such as copilots, agents, automation, analytics, and improved data access. Determine where AI should augment human work, automate tasks, or introduce new decision-support capabilities. Design practical, implementable workflows that fit within Xperi’s tools, systems, and operating model. ROI & KPI Ownership Define baseline performance and design appropriate KPIs for each initiative based on the specific process being improved. Develop business cases that quantify expected impact, and implement measurement frameworks to track outcomes after deployment. KPIs should be tailored to each workflow, but may include metrics such as cycle time reduction, labor savings, error reduction, throughput improvement, or financial impact. Ensure that each initiative has a clear measurement plan and that results are validated and sustained post-implementation. Implementation Partnership Work closely with program managers, engineers, IT, and business stakeholders to move initiatives from concept to implementation. Own process design, business requirements, and outcomes, while collaborating with technical teams responsible for building and deploying solutions. Ensure implementations align with intended workflow improvements and deliver expected business results. Technical & Business Alignment Act as a business operator with strong technical fluency. Understand AI concepts such as LLMs, agents, APIs, MCPs, and connectors, and be able to engage effectively with engineering teams. Bring a business analyst mindset to understanding tools and workflows, without being responsible for solution architecture or implementation. Change Management & Influence Drive adoption and sustained use of redesigned workflows through stakeholder engagement, communication, training, and practical enablement resources. Operate as a self-starter who can make progress across teams through credibility, strong problem-solving, and influence, rather than relying on formal authority. Required Qualifications • 8+ years of experience in process transformation, business operations, consulting, business analysis, or related roles • Demonstrated experience leading process improvement initiatives from discovery through implementation • Strong ability to document current-state workflows and design future-state processes • Proven ability to deliver measurable operational or financial improvements • Strong analytical and quantitative skills, particularly in data-heavy environments • Experience working in cross-functional teams involving business, engineering, and IT stakeholders • Working familiarity with AI tools, automation, analytics, and enterprise systems • Ability to communicate complex concepts clearly to both technical and non-technical audiences • Ability to drive progress and outcomes across teams without direct authority Preferred Qualifications • Experience in finance, accounting, FP&A, sales operations, legal, or other data-intensive business functions • Experience applying AI, automation, or analytics to improve workflows • Familiarity with enterprise systems such as Salesforce, NetSuite, Jira, Confluence, Microsoft 365, or similar platforms • Background in Lean, Six Sigma, business process reengineering, or operational excellence methodologies • Experience working with spreadsheet-heavy or manual operational workflows • Exposure to data platforms, integrations, or workflow automation tools • Familiarity with responsible AI, data privacy, or compliance considerations • Advanced degree (MBA, MS, or similar) is a plus Life @ Xperi: At Xperi, we value People, Customers, Performance and Innovation. We are dedicated to creating a workplace where all employees have a voice and sense of belonging, feel safe and valued, and are acknowledged for how their unique differences contribute to organizational culture and business outcomes. Our employees and their families are important to us, and our comprehensive pay, stock and benefits programs reflect that. Xperi supports personal well-being, builds financial security and enables employees to share in our collective success. Rewards include: Competitive compensation (salary, equity and bonuses) and comprehensive benefits designed to foster work-life balance, care for your health, protect your finances and help you save and invest for the future. Generous paid time away from work, including flexible time off, holidays and sick time, health and wellness initiatives, and a charitable match program to help you give back to your community. Great perks, which vary by location and can be site-specific: employee discounts, transportation reimbursements, and fitness facilities. A flexible, hybrid work environment combining the best of in-office collaboration and community-building along with the benefits of working from home. The estimated base salary range for this full-time position is $132,112 - $175,049 plus bonus and benefits, and can vary if outside of this location. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process.