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We are seeking a highly motivated and experienced Team Leader to join our Fly group and be responsible for planning, coordinating, and leading technical projects across the full delivery lifecycle. To join us, you should bring strong hands-on leadership, combining technical excellence with innovation, leading by example, and mentoring your team while fostering close collaboration with product partners and external stakeholders.

As an R&D Team Leader you will:
Lead a team of 57 developers working on a large-scale, complex, and innovative product.
Manage the delivery of multiple domains within the product, spanning various disciplines and technologies from design through release.
Identify and manage risks and challenges, ensuring alignment, commitment, and high-quality execution across all stakeholders.
Make key decisions that focus effort on the most impactful opportunities for the successful implementation of team initiatives.
Take an active role in recruiting, onboarding, and mentoring new team members to build a strong, collaborative, and high-performing team.
Contribute to the architecture and design of the different solutions, while exploring new technologies to drive innovation and scalability.

We are looking for a driven Business Development Representative to join our fast-growing Sales Development Unit! In this role, you will work closely with Marketing and Sales to help drive our solutions. You will develop new business opportunities through outbound prospecting, cold calling, email campaigns, and inbound lead follow-up.

As a Business Development Representative you will...
Internalize our mission, vision, and values.
Generate new business pipeline through outbound prospecting activities and inbound lead follow-up.
Maintain sales data through Salesforce that will influence monthly/quarterly sales reports, pipelines, forecasts, etc.
Research and evaluate prospects prior to engagement.
Establish active communication and engagement with prospects to create new leads and sales opportunities.
Collaborate with sales and marketing to build a sales strategy for generating new prospects.

We are looking for a hands-on Tech Lead to join the Core Platform team within our ML. Our engineering teams build the foundational systems behind global artifact storage, replication, and distribution - and increasingly power the next generation of AI/ML operations and governance. Our platform is the backbone for ML workloads: managing model binaries, versioning, and scalable runtime environments for ML and AI applications. This role combines deep distributed systems with modern ML infrastructure challenges such as high-throughput inference, safe model rollouts, and multi-cloud GPU efficiency. You will also help evolve core libraries and developer-facing tools, including logging, observability, and visibility components.

As a senior technical leader, you will influence architecture across squads, lead complex development efforts, and remain heavily hands-on.

As a Tech Lead in Core Platform you will
Design and evolve components for managing and distributing ML/AI models and artifacts at scale.
Extend the platform to support reliable, high-performance inference and training workflows.
Lead cross-team technical initiatives and serve as a reference for distributed systems and ML infra design.
Write maintainable, high-quality code in performance-critical areas.
Mentor engineers and drive strong engineering practices.
Collaborate with adjacent teams to ensure seamless end-to-end ML platform behavior.
Improve the reliability, efficiency, and observability of core services.

We are looking for a AI Automation Engineer to join our team.

We're searching for a talented and passionate technologist to implement AI driven innovation by integrating AI Agents and AI APIs in automation processes and Internal Tools. As a key member of the team, you'll play a vital role in developing and implementing innovative solutions to enhance our company's efficiency, productivity and quality. You'll leverage your expertise in artificial intelligence (AI) , automation tools, and software development to design, build, and deploy tools that streamline workflows, automate repetitive tasks, provide insightful data analysis, reduce costs and help the company scale.

Responsibilities
Work with the AI Projects Manager to research, design, and develop AI-powered solutions (e.g., chatbots, machine learning models) to automate tasks, unlock scaling opportunities and generate efficiencies across the company.
Build internal tools that automate workflows, improve data accessibility, and improve data accessibility, and facilitate collaboration within the company.
Integrate AI and internal tools seamlessly with existing systems and infrastructure to ensure smooth operation and data flow.
Write clean, maintainable, and well-documented code or automation processes, adhering to best practices and security standards.
Conduct unit tests and implement test-driven development (TDD) methodologies to ensure code quality and reliability.
Monitor and maintain deployed tools, identifying and resolving technical issues promptly.
Stay up-to-date with the latest advancements in AI, automation tools, AI APIs, and internal tool development best practices.

Were looking for a versatile, talented, and highly motivated Data Engineer to join our growing team.

If youre passionate about solving complex problems, thrive in dynamic environments, and love working at the intersection of data engineering, machine learning infrastructure, and AI innovation, this role is for you.

As a Data Engineer, youll play a key role in shaping how data flows through the company, from building scalable pipelines and robust infrastructure to powering data science models and enabling internal teams with intelligent GenAI-powered tools. This is a hands-on, high-impact role with plenty of room for ownership, creativity, and growth.

This is a high-impact role where your work will shape how the company leverages data and AI. If you want to build, innovate, and push boundaries in a collaborative and fast-moving environment, wed love to meet you.

Responsibilities
Own the entire data lifecycle from understanding business needs and building reliable pipelines to ensuring data quality, observability, and performance.
Design, build, and scale modern data infrastructure including data lakes, warehouses, and complex ETL/ELT pipelines.
Integrate and consolidate diverse data sources (CRMs, APIs, databases, SaaS platforms) into a single, trusted source of truth.
Implement and manage CI/CD, observability, and infrastructure-as-code in a cloud-native environment.
Work with the data science team on their ML pipelines, giving data scientists the infrastructure and automation they need to deploy models to production with speed and confidence.
Collaborate with cross-functional teams to embed GenAI agents into business processes, creating smart workflows that boost efficiency and reduce manual work.
Develop frameworks and internal tooling that empower other teams to safely adopt AI and accelerate innovation.
Optimize data infrastructure for performance and cost-efficiency, with a focus on BigQuery optimization.
Ensure high data quality and integrity across large-scale ETL processes. Work closely with analysts, data scientists, and product managers to support data modeling, governance, and analytical initiatives.