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we are seeking an experienced and visionary Data Science Team Lead to join our dynamic technology organization.
The successful candidate will lead a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions.
This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, exceptional leadership skills, and a passion for continuous learning and development.
Responsibilities:
Lead, mentor, and develop a team of data scientists both methodologically and technically to deliver high-impact projects aligned with business objectives.
Design, implement, and optimize classic machine learning models to solve complex business problems.
Apply gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs) to create innovative solutions for products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization.

We need an experienced Team Lead who has managed developers before and knows how to get things done. You'll own the delivery and day-to-day leadership of a 7-person team working across two demanding domains - AI and Connect.

Beyond managing the team, you'll be expected to lead the vision. That means staying ahead of the AI curve, identifying where the product should go next, and actively pushing for innovation - not waiting to be told. The team works with LLMs, RAG pipelines, integration infrastructure, and APIs. You need to own the technical design decisions, set the architectural direction, and ensure the team is building things the right way - not just on time.

You'll report directly to the Director of the Growth Group and work closely with Product, Architecture, and peer engineering leads.

What You'll Do
Lead and Develop Your Team - Manage a team of 7 developers across the AI and Connect domains. Run 1:1s, set clear goals, support growth, and create a culture of ownership and accountability.
Drive Delivery - Own the team's roadmap execution. Ensure features are designed well, delivered on time, and meet a high-quality bar.
Own the Architecture - Lead system and feature design end-to-end. Define the architectural approach, review technical designs, and make sure the team builds solutions that are scalable, maintainable, and aligned with the platform's direction.
Champion AI Innovation - Stay sharp on the latest in LLMs, RAG, and AI tooling. Help the team identify opportunities to push the product forward and maintain our competitive edge.
Collaborate Cross-Functionally - Work closely with Product Managers, other TLs, and stakeholders to align priorities and turn vision into execution.
Raise the Bar - Establish and enforce engineering best practices: code quality, automated testing, CI/CD, and microservices design principles.
Recruit When Needed - Participate in hiring as team needs evolve, and help onboard new team members effectively.

We are seeking an experienced Team Leader to lead a high-performing Full Stack Engineering team responsible for building scalable, performance-driven applications. This role combines hands-on technical expertise in Python with strong leadership skills to guide and mentor a team of talented engineers.
You will drive technical excellence, ensure delivery of complex projects at scale, and foster a culture of ownership and accountability. The ideal candidate has a proven track record of leading full-stack teams and building systems that handle large-scale workloads.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI , covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 3-4 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.

Were looking for a Team Leader who is a tech-enthusiast with a drive for excellence, and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment.
What youll do;
Collaborate closely with Product, Design/UX, DevOps, and other R&D teams
Lead an autonomous team of software engineers who are working closely with product management for achieving business goals
Put special focus on developing the team
Provide technical authority to your team by demonstrating a hands-on leadership style
Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team.

Were growing and looking to hire a Software Team Leader - CTD who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
As a Software Team Leader, Your impact will be:
Lead a team of talented developers, driving the core of our product throughout its development lifecycle.
Ensure technical excellence, high product quality, innovation, and on-time delivery in an agile environment.
Collaborate closely with Product Management, Customer Care, and other stakeholders to transform ideas into real customer value.
Actively participate in the R&D Leadership Forum, contributing to discussions that shape the future of our product.
Mentor and support team members in their professional growth and career development.

Were growing and looking to hire a Software Team Leader - Data Platform who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
As a Software Data Platform Team Leader, you will lead a team of expert developers in building high-scale, data-intensive solutions that deliver low-latency insights and ML-driven capabilities. You will champion technical excellence across our state-of-the-art stack including Spark, Kafka, and data lakes while collaborating with stakeholders to transform complex data into real customer value.
Responsibilities:
As a Software Data Platform Team Leader, Your impact will be:
Lead a team of talented developers, driving the core of our product throughout its development lifecycle to deliver reliable, low-latency insights and ML-driven capabilities at massive scale.
Ensure technical excellence, high product quality, innovation, and on-time delivery in an agile environment.
Collaborate closely with Product Management, development teams, and other stakeholders to transform ideas into real customer value.
Actively participate in the R&D Leadership Forum, contributing to discussions that shape the future of our product.
Mentor and support team members in their professional growth and career development.

We're currently seeking a Data Research Team Lead to join our Data Research Group and help proactively drive product growth and performance through the provision of strategic product insights and deep expertise with analytical tools and techniques. You will work closely with product managers, medical analysts, and the engineering team and bring your expert analytical ability to provide key product insights, identify improvement opportunities, and drive data-informed product initiatives forward.
Responsibilities:
Lead and mentor a team of product analysts embedded across product squads, driving high-impact analytics and professional growth.
Own and shape the companys product KPI framework, driving clarity, alignment, and real-time visibility across the organization to ensure every decision is grounded in impact.
Act as a strategic thought partner to Product leadership and executive stakeholders, to translate business strategy into measurable outcomes and data-driven roadmap decisions.
Drive structured analysis around feature development, product performance, and long-term optimization.
Own and oversee analytical data pipelines, ETL processes, and BI development within the team, ensuring scalable, reliable, and well-governed data assets.