Nice to Meet You! We are AscendaAscenda powers the growth of leading financial services brands worldwide with premium rewards programs that differentiate their products, drive profitable customer behaviors, and create sustained engagement.We are behind the world-class rewards propositions of major banks and fintechs around the globe, including brands like American Express, Capital One, Brex, Robinhood, Ramp, HSBC, Virgin Money (Australia), SMBC (Japan), ICBC (China), Bradesco (Brazil), ANZ (Australia), HDFC (India) and many others.With a best-in-class technology suite and the world\xe2\x80\x99s broadest rewards content marketplace, we are the engine behind winning premium rewards propositions for financial services all around the globe.Our clients are spread across continents, and we serve over 1 billion customers globally. No matter where you are in the world, you\xe2\x80\x99ll recognise our footprint!We believe that nothing should stand in the way of companies who strive to drive growth via compelling and effortless rewards propositions that their customers love.Welcome to the future of customer growth. Join us as we shape the future of rewards in financial services!About Personalisation TeamJoin our Personalisation team and be at the forefront of crafting user experiences that resonate deeply. As the engineering manager of this team, you will steer the development of sophisticated ML ranking and recommendation systems, critical for tailoring experiences that maximise value for our vast customer base. The team will tackle intriguing challenges: How to recommend the perfect item at the perfect time? How to prioritize the content users crave? Your leadership will be instrumental in making our recommendation systems even more efficient, accurate, and scalable.About the RoleAs an Engineering Manager, you\'ll play a pivotal role in realizing our ambitious product and technical vision. Leveraging your technical acumen and hands-on expertise, you\'ll spearhead high-impact initiatives such as enhancing platform scalability, refining the configurability of our business rules, and supporting the development of more intricate rule structures. These efforts empower our customers to create campaigns that align seamlessly with evolving business needs. Additionally, you\'ll be tasked with fortifying key non-functional requirements such as performance, reliability, and data security.Responsibilities:Innovate and Lead: Direct and grow a team of exceptional engineers, delivering end-to-end solutions that enhance personalization and user engagement.Collaborate and Define: Engage with stakeholders across Product, Design, and Business domains to envision and implement the roadmap for revolutionary personalization technologies.Inspire and Scale: Encourage innovation, employ cutting-edge technologies, and foster a culture of excellence. Scale the team through strategic hiring and by developing internal talents.Exceed Standards: Utilize your technical expertise to uphold the highest engineering standards, ensuring our solutions are scalable, reliable, and impactful.What we\'re looking for:Strong technical background, demonstrated through prior experience in analogous roles such as Tech Lead, Engineering Manager, or Staff-level engineering positions.Experience crafting technical roadmaps and driving technical strategy.Ability to guide and grow engineering teams in a fast-paced environment.Broad knowledge of machine learning, strong foundational expertise in ML modeling, and experience applying ML to real-world ranking and recommendation problems.Strong alignment with Ascenda\xe2\x80\x99s core values of growth mindset, hands-on ownership, supportive collaboration, and radical simplicityWhat matters at Ascenda:We are passionate, we keep things simple, we focus on results, we work together & we innovate!We have a rewarding working place that provides a:High growth environment & exponential career developmentMobile & flexible work environmentCompetitive compensationTravel perks & Employee rewardsAscenda is an equal opportunity employer, committed to a diverse and inclusive workplace.We thank you for your understanding that only shortlisted candidates will be contacted for interviews.
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