• lead team in successful development of significant features • improve pace of execution within the team • grow team by identifying needs and evaluating candidates • enhance reliability to reduce incidents • foster growth and engagement among team members

Role Description We are hiring a Data Science Manager to lead a team building LTK’s native AI platform and conversational AI capabilities across the company. This team will work on AI systems that power recommendations, retrieval, ranking, semantic understanding, and conversational experiences. We are looking for someone who can lead a team of data scientists, stay close to the technical work, and drive execution from idea to production. You will partner closely with engineering, product, and brand teams to turn business problems into scalable AI solutions that improve user experience and business outcomes. A key part of this role is building a high performing team. That includes: - Setting clear expectations - Giving direct feedback - Coaching team members - Managing performance How you will make an impact: - Lead a team of data scientists building LTK’s AI platform and conversational AI experiences. - Drive the development of LTK AI native platform and LLM powered workflows while thinking about cost efficiency. - Partner with engineering to productionize models and build reliable AI systems. - Provide technical guidance to teams on modeling, experimentation, evaluation, and production readiness. - Own team execution and help ensure features are delivered on time and at high quality. - Hire, develop, and retain strong data science talent. - Set clear expectations, provide regular feedback, and proactively manage the team's performance. Qualifications - 7+ years of experience in data science, machine learning, or applied AI roles. - 3+ years of experience managing data scientists, or equivalent experience leading projects and mentoring others. - Experience building and deploying machine learning models in production. - Strong understanding of recommendation systems, ranking, retrieval, NLP, experimentation, applied statistics. - Experience with agentic AI, LLMs, advanced RAG, and workflow based AI systems. - Strong Python and SQL skills. Requirements - Ability to lead through ambiguity and keep teams moving in a fast-paced environment. - Experience driving projects from planning through execution while embracing AI coding assistant tools. - Strong ownership, prioritization, and follow through. - Comfort with direct conversations around accountability, growth, and team’s performance. - Strong cross functional collaboration skills. Technical Skills - Strong foundation in machine learning, statistics, and data analysis. - Experience with experimentation, model evaluation, and real world AI applications/systems. - Familiarity with cloud platforms such as AWS/GCP/Azure. - A bachelor’s or master’s degree in Computer Science, Statistics, Data Science, Engineering, or a related field is preferred, although relevant experience can substitute for formal education. Nice to have - Experience in marketplace, social commerce, or recommendation driven products. - Experience with large scale or real time data systems. Benefits - The opportunity to be part of the leading global company in creator commerce. - A remote-first, productivity-first environment. - Competitive compensation and benefits package to meet the needs of you and your family. - 401(k) with LTK company matching. - Medical Insurance, Vision Insurance, Dental Insurance. - Paid Maternity Leave and Paid Paternity Leave. - Summer Fridays and Flexible PTO.

Locations: Mexico City, Mex, Mexico, Ciudad de Mexico, Ciudad de Mexico Director, Software Engineering Capital One is seeking a Director of Software Engineering to lead, manage, mentor, and build extremely talented software engineering teams to deliver game changing technologies. The Director must have the ability to attract and recruit the industry's best talent, and simultaneously have the technical chops to ensure that we build compelling, customer oriented solutions in an iterative methodology. As a candidate for this role, you're able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including hands-on prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. This technology leader will be responsible for managing the cloud infrastructure of our critical platform and the underlying ecosystem of services like feature management, edge infrastructure, CI/CD pipelines, and all associated components in AWS for one of the largest and most digitally advanced financial institutions serving millions of customers across multiple lines of businesses. You thrive in working in a fast paced, technologically forward leaning environment and are not afraid to push the boundaries. You'll bring solid experience in emerging and traditional technologies such as: AWS, Java, Python, New Relic, Splunk, Datadog, Swift, Kotlin to name a few. You will: - Influence executive stakeholders - Lead, manage and grow multiple teams of software engineers and build a culture of accountability - Mentor and guide the professional and technical development of engineers on your team - Work with product leaders to define the strategy, roadmap and destination architecture - Manage a portfolio of diverse technology platforms and projects to build scalable applications that meet our customer needs - Continuously improve software engineering practices - Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies - Lead the craftsmanship, availability, resilience, and scalability of your solutions - Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community - Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity Basic Qualifications: - Advanced English fluency - Bachelor's Degree - At least 8 years experience in software development - At least 7 years experience in people management - At least 5 years of experience with AWS Preferred Qualifications: - Master's Degree - 13+ years of experience in software development - 8+ years of experience with public cloud providers (AWS, GCP) - 8+ years of experience in Agile practices - 7+ years of experience with Site Reliability Engineering (SRE) At Capital One, we respect individual differences in culture, religion, and ethnicity. Likewise, we promote equal opportunities and development for all personnel. In the hiring process, we seek to provide equal employment opportunities to candidates, regardless of race, color, religion, gender, sexual orientation, marital or civil status, national origin, disability, or any other situation protected by federal, state, or local laws. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com (opens in new window) Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe, any position posted in the Philippines is for Capital One Service Corp (COPSSC), and any position posted in Mexico is for Capital One Technology Labs Mexico. At Capital One, we respect individual differences in culture, religion, and ethnicity. Likewise, we promote equal opportunities and development for all personnel. In the hiring process, we seek to provide equal employment opportunities to candidates, regardless of race, color, religion, gender, sexual orientation, marital or civil status, national origin, disability, or any other situation protected by federal, state, or local laws. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe, any position posted in the Philippines is for Capital One Service Corp (COPSSC), and any position posted in Mexico is for Capital One Technology Labs Mexico.

• Manage, support, and mentor a diverse group of data engineers • Partner with the Principal Engineers and engineering leadership to guide the data architecture, scalability, and evolution of our data platform • Work closely with data science, business intelligence, and product teams to align data solutions with business objectives, balancing technical investments with business priorities • Identify, resolve, or escalate roadblocks and risks that threaten team deliverables and goals, seeking additional context or direction when needed • Drive each team member toward their career goals through clear milestones, transparent feedback, and a culture of open communication that sets them up for success • Translating data concepts and requirements into architecture decisions and technical implementation strategies • Provide technical input on data pipeline design, data modeling, and technology selections • Contribute hands-on technical work during peak periods to support the team and maintain technical credibility • Establish best practices for data pipeline architecture, data quality, and performance optimization • Runs cross functional working groups to deliver on larger company objectives • Participate in domain standups, weekly 1:1s, team collaborations, biweekly demos, and biweekly retros • Share your knowledge within the data engineering team and with others in the company (e.g., engineering all-hands, engineering learning hour, domain meetings) • Partner closely with the management team, HR, and Recruiting to attract, recruit, and develop a diverse team of high-quality data engineers