Senior Product Manager

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  "detail": {
    "url": "https://smadexslu.applytojob.com/apply/jobs/details/YOLpoBk9wz?&",
    "heading": "Senior Product Manager",
    "html_title": "JazzHR » Job Listings",
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    "description_html": "<p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Smadex</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE: EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with revenues over +$100M and consistently growing year over year.</span></span></span></span></span></span></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">As a <strong>Senior Product Manager</strong> on our measurement and data team, you will own a set of quantitatively deep initiatives that sit close to our bidding, attribution, and data infrastructure. This is a builder role for someone who is comfortable reasoning about causal inference, experimentation, and data quality at scale, and who can turn that reasoning into a product that engineers, data scientists, and commercial teams actually use. You will work directly with our ML, data, and infrastructure teams as a technical peer.</span></span></span></span></span></span></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;text-align:center;\"><strong><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">This position is based in Austin, TX or New York, NY.</span></span></span></span></span></span></strong></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Role's tasks and responsibilities:</span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Own product strategy and execution for measurement and data initiatives spanning causal measurement, attribution and identity, and the quality and observability of our data and models.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Translate causal and statistical methods into product decisions, and partner with data science on how measurement and optimization should behave in production.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Define how performance signals are monitored, explained, and surfaced across large, fast-moving datasets so the right people see what changed and why.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Work closely with engineering to prioritize development, and align commercial, marketing, and operations teams on timelines and strategy.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Set the metrics and experimentation approach for your area, and use them to decide what ships.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Stay at the forefront of AdTech, new technologies, industry trends, and privacy regulations.</span></span></span></span></span></span></li></ul><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Role's skills and requirements:</span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Technical degree in a quantitative field such as Engineering, Statistics, Mathematics, Economics, or Data Science.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">5+ years in product management or data-heavy product work, including time owning measurement, ML-adjacent, or data-platform products.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Strong applied grounding in at least one of: causal inference and incrementality measurement, experimentation and A/B testing, attribution and identity, or large-scale data quality and observability.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Fluency with data. You can write SQL, reason about a data model, and work independently in a notebook or query engine to answer your own questions.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Comfort engaging directly with model behavior, evaluation, and statistical tradeoffs alongside data scientists and ML engineers.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Demonstrated experience in hypothesis-driven learning and turning data into actionable insights.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Excellent written communication. You write specs that hold up to technical scrutiny and need little editing before they ship.</span></span></span></span></span></span></li></ul><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Preferred:</span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Experience in programmatic advertising, adtech, or another real-time bidding or marketplace environment.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Familiarity with mobile attribution, MMPs, or privacy-driven measurement.</span></span></span></span></span></span></li></ul><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">What’s in it for you?</span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Great compensation package tailored to the U.S. market.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Career pathing and continued education available </span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Highly engaged leadership to support you in your position and career</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Opportunity for international travel</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Comprehensive medical, dental & vision benefits  </span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">401k matching</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Summer Fridays & Team building events </span></span></span></span></span></span></li></ul>",
    "description_text": "Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE: EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with revenues over +$100M and consistently growing year over year.\n As a Senior Product Manager on our measurement and data team, you will own a set of quantitatively deep initiatives that sit close to our bidding, attribution, and data infrastructure. This is a builder role for someone who is comfortable reasoning about causal inference, experimentation, and data quality at scale, and who can turn that reasoning into a product that engineers, data scientists, and commercial teams actually use. You will work directly with our ML, data, and infrastructure teams as a technical peer.\n This position is based in Austin, TX or New York, NY.\n Role's tasks and responsibilities:\n Own product strategy and execution for measurement and data initiatives spanning causal measurement, attribution and identity, and the quality and observability of our data and models.\n Translate causal and statistical methods into product decisions, and partner with data science on how measurement and optimization should behave in production.\n Define how performance signals are monitored, explained, and surfaced across large, fast-moving datasets so the right people see what changed and why.\n Work closely with engineering to prioritize development, and align commercial, marketing, and operations teams on timelines and strategy.\n Set the metrics and experimentation approach for your area, and use them to decide what ships.\n Stay at the forefront of AdTech, new technologies, industry trends, and privacy regulations.\n Role's skills and requirements:\n Technical degree in a quantitative field such as Engineering, Statistics, Mathematics, Economics, or Data Science.\n 5+ years in product management or data-heavy product work, including time owning measurement, ML-adjacent, or data-platform products.\n Strong applied grounding in at least one of: causal inference and incrementality measurement, experimentation and A/B testing, attribution and identity, or large-scale data quality and observability.\n Fluency with data. You can write SQL, reason about a data model, and work independently in a notebook or query engine to answer your own questions.\n Comfort engaging directly with model behavior, evaluation, and statistical tradeoffs alongside data scientists and ML engineers.\n Demonstrated experience in hypothesis-driven learning and turning data into actionable insights.\n Excellent written communication. You write specs that hold up to technical scrutiny and need little editing before they ship.\n Preferred:\n Experience in programmatic advertising, adtech, or another real-time bidding or marketplace environment.\n Familiarity with mobile attribution, MMPs, or privacy-driven measurement.\n What’s in it for you?\n Great compensation package tailored to the U.S. market.\n Career pathing and continued education available\n Highly engaged leadership to support you in your position and career\n Opportunity for international travel\n Comprehensive medical, dental & vision benefits\n 401k matching\n Summer Fridays & Team building events",
    "jsonld_jobposting": {
      "url": "https://smadexslu.applytojob.com/apply/YOLpoBk9wz/Senior-Product-Manager",
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      "title": "Senior Product Manager",
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      "datePosted": "2026-06-10",
      "description": "<p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Smadex</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE: EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with revenues over +$100M and consistently growing year over year.</span></span></span></span></span></span></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">As a <strong>Senior Product Manager</strong> on our measurement and data team, you will own a set of quantitatively deep initiatives that sit close to our bidding, attribution, and data infrastructure. This is a builder role for someone who is comfortable reasoning about causal inference, experimentation, and data quality at scale, and who can turn that reasoning into a product that engineers, data scientists, and commercial teams actually use. You will work directly with our ML, data, and infrastructure teams as a technical peer.</span></span></span></span></span></span></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;text-align:center;\"><strong><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">This position is based in Austin, TX or New York, NY.</span></span></span></span></span></span></strong></p><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Role's tasks and responsibilities:</span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Own product strategy and execution for measurement and data initiatives spanning causal measurement, attribution and identity, and the quality and observability of our data and models.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Translate causal and statistical methods into product decisions, and partner with data science on how measurement and optimization should behave in production.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Define how performance signals are monitored, explained, and surfaced across large, fast-moving datasets so the right people see what changed and why.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Work closely with engineering to prioritize development, and align commercial, marketing, and operations teams on timelines and strategy.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Set the metrics and experimentation approach for your area, and use them to decide what ships.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Stay at the forefront of AdTech, new technologies, industry trends, and privacy regulations.</span></span></span></span></span></span></li></ul><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Role's skills and requirements:</span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Technical degree in a quantitative field such as Engineering, Statistics, Mathematics, Economics, or Data Science.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">5+ years in product management or data-heavy product work, including time owning measurement, ML-adjacent, or data-platform products.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Strong applied grounding in at least one of: causal inference and incrementality measurement, experimentation and A/B testing, attribution and identity, or large-scale data quality and observability.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Fluency with data. You can write SQL, reason about a data model, and work independently in a notebook or query engine to answer your own questions.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Comfort engaging directly with model behavior, evaluation, and statistical tradeoffs alongside data scientists and ML engineers.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Demonstrated experience in hypothesis-driven learning and turning data into actionable insights.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Excellent written communication. You write specs that hold up to technical scrutiny and need little editing before they ship.</span></span></span></span></span></span></li></ul><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Preferred:</span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Experience in programmatic advertising, adtech, or another real-time bidding or marketplace environment.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Familiarity with mobile attribution, MMPs, or privacy-driven measurement.</span></span></span></span></span></span></li></ul><p style=\"line-height:1.38;margin-top:16px;margin-bottom:16px;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">What’s in it for you?</span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Great compensation package tailored to the U.S. market.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Career pathing and continued education available </span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Highly engaged leadership to support you in your position and career</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Opportunity for international travel</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Comprehensive medical, dental & vision benefits  </span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">401k matching</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Summer Fridays & Team building events </span></span></span></span></span></span></li></ul>",
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