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About hireworks
hireworks is building a community of top talent in key international markets by unlocking unparalleled access to positions at leading U.S. based companies. As your employer, hireworks will ensure you have a seamless interview, onboarding, and employee experience - providing ongoing support and resources along the way. Established in 2023, hireworks is forging corp-to-corp relationships with leading U.S. based organizations looking to grow their teams with best-in-class talent around the world. Working with hireworks means unlocking access to a network of local peers and mentors and career opportunities through our client network.
About our Client
Our client is a Business Process Outsourcer (BPO) committed to fostering brand growth through outstanding customer experiences. They were founded by e-commerce pioneers who struggled to find an equally innovative customer service partner. Many companies view customer care as merely a cost center, but they believe it offers much more! If you enjoy delighting customers and leveraging data to provide valuable insights to clients, they could be your ideal workplace!
About the Position
As Tech Lead, Platform (Data & AI), you'll play a pivotal role in shaping our client's technology strategy as the company evolves into a more data-driven, AI-enabled business. This is a highly hands-on role (combination of hands on coding and leadership) where you'll own platform architecture, mentor a small engineering team, and build the scalable data infrastructure needed to power future AI-driven products and customer insights. You'll work closely with Product and Business leadership to make critical technical decisions, modernize existing systems, and identify opportunities to leverage data and AI to transform the customer experience.
What You'll Do
Provide hands-on technical leadership across software development, data, AI/ML, and cloud infrastructure, while managing and mentoring a small team of 3-5 engineers.
Own the technical architecture of the platform, establishing pragmatic frameworks and engineering practices.
Lead strategic build-vs.-buy decisions, evaluating whether capabilities should be developed internally, integrated through third-party platforms, or leveraged through emerging AI/ML services. Clearly communicate the associated technical, financial, operational, and strategic tradeoffs to Product and Business leadership.
Establish and evolve the data architecture, providing technical direction across data pipelines, integrations, data models, warehousing/lake infrastructure, and the systems required to make data reliable and accessible.
Identify and drive opportunities to apply AI/ML, including integrating AI capabilities into products and workflows, evaluating emerging technologies, and partnering with product/business stakeholders to turn AI opportunities into production-ready solutions.
Own and operate cloud-based systems across AWS and Google Cloud, making thoughtful decisions around infrastructure, scalability, cost, security, deployment, monitoring, and reliability.
Remain deeply hands-on, contributing code and technical implementation to the highest-impact areas while helping the team solve complex engineering problems.
Build for the next stage of the organization, anticipating how product growth, increasing data volumes, customer needs, and a growing engineering team will affect today's technical decisions.
About You
7+ years of engineering experience, with at least 2-3 years in a senior technical leadership and/or people management capacity Strong software engineering experience with TypeScript and Python or Java, as well as API design and microservices architecture Experience making foundational architectural decisions in an early-stage or greenfield environment Previous work with large scale datasets, ETL pipelines, or analytics platforms Strong familiarity with cloud environments (AWS and/or GCP) and containerized infrastructure Strong collaboration and communication skills - able to work effectively across product, engineering, and business teams Ability to act as a player-coach: set technical direction and contribute hands-on while building out the team and establishing the processes that will scale with it.
Passion for technical documentation practices, including architecture diagrams, ADRs, and other artifacts that make technical decisions clear and maintainable.
Working knowledge of SOC 2 compliance requirements and security controls
Bonus Qualifications:
AI/ML and LLM fluency, including building AI/ML features into products.
Experience building platforms or tools for non-technical users, especially in AI/ML, automation, or workflow spaces
Benefits:
hireworks is cultivating a growing community of top talent across LATAM. In addition to unlocking access to positions at top tier U.S. based companies, we offer a variety of benefits to enhance your experience:
Competitive Pay - compensation that reflects your experience and accomplishments
Remote Flexibility - work from anywhere in your home country: Colombia, Argentina or Brazil
Paid Time Off - ample vacation days to rest and recharge
Public Holidays - federal holidays are fully paid days off (in your local country)
