דרושים » דאטה » Data Infra Tech Lead

MA?LYS is a fast-growing global body care brand, built on a proprietary e-commerce platform, deep consumer insights, and a relentless focus on performance. Millions of women worldwide use our products, and we are on a mission to become one of the most influential body care brands globally.
We operate at extreme velocity, with high standards and an obsession with results. We believe in challenging conventional thinking, making data-driven decisions, and moving quickly from idea to execution.
We are looking for a Head of AI to build and lead MA?LYS' AI transformation journey, serving as a rare opportunity for a highly strategic and deeply hands-on builder who thrives at the intersection of business, technology, and execution. In this role, you will have the ultimate playground to shape how our entire company operates, influence every major function, and create a lasting competitive advantage for a leading body care brand. Initially operating as an individual contributor partnering closely with the CEO and the Management Team. Over time, you will transition to build and lead a small, high-performing team as AI becomes an increasingly critical capability across our global e-commerce and retail operations.
To thrive in our high-pace environment, you must think like an owner, not a consultant, and be equally comfortable discussing macro business strategy with executives as well as writing code to solve a messy problem yourself. You are someone who embraces ambiguity, enjoys building from scratch, and is completely obsessed with execution. You possess the high emotional intelligence and empathy required to collaborate with non-technical stakeholders and build trust, yet you maintain the thick skin, resilience, and great sense of humor needed to handle direct communication and rapid structural pivots. Most importantly, you maintain an uncompromising commitment to quality and process improvement, ensuring that every automation or workflow you deploy actively drives our core business metrics forward without requiring hand-holding or constant reminders.
Your life at MA?LYS will look like…
* Define and lead the company's AI strategy and execution roadmap.
* Identify the highest-impact opportunities for AI across all business functions.
* Prioritize initiatives based on measurable business value, speed of implementation, and scalability.
* Design, build, deploy, and continuously improve AI-powered workflows, tools, automations, and agents.
* Translate business challenges into practical AI solutions that improve performance, efficiency, and decision-making.
* Develop production-ready applications and workflows using modern AI technologies, APIs, agents, and automation frameworks.
* Drive adoption and behavioral change across teams.
* Partner directly with business leaders to identify opportunities and implement solutions.
* Evaluate emerging technologies, models, vendors, and platforms.
* Establish governance, standards, architecture, and best practices for AI development.
* Define and track success metrics for every AI initiative, ensuring measurable impact on growth, productivity, speed, efficiency, or cost.
You will thrive in this role if you have…
* Strong technical foundation in Computer Science, Software Engineering, Data Science, or a related field.
* 5+ years of experience building technology, data, AI, automation, or software solutions in high-performance environments.
* Proven experience identifying business opportunities and translating them into deployed AI products, agents, automations, or workflows that drive measurable business impact.
* Hands-on experience working with modern generative AI technologies, LLMs, agent frameworks, APIs, embeddings, automation platforms, and production deployments.
* Strong proficiency in Python, SQL, APIs, and data-driven application development.
* Deep understanding of business operations, growth metrics, p

we are looking for a Data Science Team Lead.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to extract maximum value from data of all shapes and sizes, including classification models, NLP, anomaly detection, graph theory, deep learning, and more.
Our models and algorithms are integrated into the critical path of product, helping to make thousands of decisions per second in real-time. All the capabilities we develop must meet production-grade requirements in both analytical and engineering standards.
As the Team Lead of a Data Science team, you will manage critical analytical initiatives for our suite of products, shaping the team's direction and focus. You will collaborate closely with Product Managers to influence the future of our product offerings and ensure alignment with company goals. You will need a holistic view of challenges and a keen understanding of the underlying goals of the department and company. In this role, you will lead the team, oversee their professional development, build effective collaborations with other departments, and bring measurable value to product through your team's efforts.

Were hiring an AI Backend Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across our B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do
Lead & Mentor: Manage, mentor, and grow a team of AI/ML/Backend engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across our products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io We're looking for a talented Customer Experience AI Chatbot Coordinator to join our CX team. In this role, you will sit at the intersection of CX strategy and AI workflow design- using natural language prompting, intent architecture, and conversation flow expertise to drive ticket deflection and improve the customer journey. Someone with a strong instinct for how customers communicate, and the ability to translate that understanding into AI workflows that resolve issues without human intervention. Key Responsibilities
* Design, build, and iterate on conversational flows and NLP prompts within third-party AI chatbot platforms
* Develop intent libraries, training phrases, and response templates that accurately reflect customer needs and Artlist's brand voice
* Own the ongoing training and tuning of the chatbot to improve intent recognition and resolution rates
* Continuously refine bot behaviour based on performance data, conversation logs, and agent feedback
* Monitor key metrics - especially ticket deflection, containment, and CSAT - and implement targeted optimisations
* Contribute to the chatbot roadmap with ideas for new flows, use cases, and automation opportunities
* Work closely with the CX and Experience team to understand recurring issues, escalation patterns, and agent pain points
* Maintain clear, up-to-date documentation of all flows, training data, intent structures, and change logs

We're looking for a Head of Research to establish and lead research group - a strategic and hands-on leadership role for someone who thrives at the intersection of AI, infrastructure, and systems innovation. You'll identify high-impact research directions, validate cutting-edge technologies, and drive new approaches that translate into long-term competitive advantage . This is not an academic position, but an opportunity to build a research function that directly shapes product and technology.

Define and lead the company's research agenda in AI, infrastructure, and distributed systems
Explore and evaluate new algorithms, architectures, and approaches relevant to large-scale AI workloads and cloud cost efficiency
Collaborate with product and engineering to translate research into real-world impact
Build and manage a small, high-caliber research team
Publish findings, represent in the AI/infrastructure research community, and establish partnerships with academia and industry
Act as a thought leader driving innovation across the company

This role is ideal for experienced backend engineers (ideally with strong Python skills) looking to transition into program leadership.You must thrive in a fast-paced environment and bring a proven track record of designing, building, and operating AI agents or agentic workflows.
We are at a pivotal point in our journey, transforming how we deliver product integrations-the core of our platform-by shifting from manual engineering to AI-first workflows powered by agents and agentic pipelines.
As a Senior Technical Program Manager, you will lead this transformation. You will collaborate closely with Customers, Partners, Product, and Engineering to scope and design integrations with IT and security tools. Simultaneously, you will redefine the entire integration lifecycle-using AI to automate how customer requests are analyzed, connector designs are created, and software is delivered from early access through full launch.
Your Impact
Lead AI Workflow Transformation: Drive the evolution of key business and engineering workflows from manual execution to AI-first, agent-driven processes.
Design & Scale Agentic Pipelines: Build, deploy, and continuously optimize multi-agent workflows that automate the lifecycle of integration requests-from intake and API requirement analysis to automated design generation, code reviews, and validation.
Drive Technical Integration Scoping: Work closely with Customers, External Partners, Business Development, Product, and Security Architects to scope use cases and create technical design requirements for third-party IT and security integrations.
Enhance Engineering Productivity: Improve developer throughput and software quality by integrating AI-powered tools (e.g., GitHub Copilot, OpenAI APIs) and agentic knowledge systems into the daily engineering lifecycle.
End-to-End Program Ownership: Support cross-functional teams throughout the full software development lifecycle of integrations, establishing scalable operational engineering processes to transition projects seamlessly from early access through full launch.
Cross-Functional Alignment: Partner with cross-functional peers to align solutions, resolve conflicts, clear operational bottlenecks, and drive complex technical issues to resolution.

In Customer Care and Trust & Safety, real people are on the other side of every decision. You're the reason why our users feel safe using us, and you take that seriously. From Quality Assurance specialists to fraud analysts, those we're looking for are stakeholder-savvy and treat every case like it's the only one that matters. So if you're methodical when the details affect peoples livelihoods, we want to hear from you. Join our dynamic Customer Care team as a Chatbot Project Lead, taking the reins on our chatbot roadmap and stakeholder communication. This is a critical role stepping in to guide a talented team, ensuring seamless project delivery and strategic alignment as we enhance our AI-powered customer solutions.
What am I going to do?:

* Manage the end-to-end chatbot roadmap and sprint delivery, ensuring all project deadlines and key performance indicators are met with precision.
* Translate overarching company strategic goals into actionable chatbot experience improvements, effectively communicating updates and insights to diverse stakeholders.
* Mentor and provide hands-on guidance to team members, fostering their growth in areas like advanced prompting techniques on platforms such as Forethought.
* Leverage data analysis to deeply understand chatbot performance, driving continuous optimization and informing strategic decision-making.
* Facilitate key team meetings and foster a collaborative and inclusive team culture.
Equal opportunities:
We know that talent has no single face. We welcome talent from everywhere and everyone because it makes everything we build better. Need accommodations? Just ask. And if this role excites you but you don't tick every box, apply anyway. The best people rarely fit the mold exactly.

As our AI Team Lead, you will sit at the intersection of cutting-edge research and production engineering, guiding a high-performing team of Data Scientists and Engineers. This is a deeply hands-on leadership role where you will drive the end-to-end lifecycle-from initial research and PyTorch training to deploying sophisticated multi-modal AI (Text, Image, Audio, and Video) in high-throughput environments. Join us in building the future of responsible AI adoption and digital integrity.

Responsibilities
Manage and grow a high-performing team of AI researchers and engineers, fostering technical excellence.
Drive the design and training of multimodal models applications (Text, Image, Audio, Video) using PyTorch.
Own the AI roadmap from initial concept to scalable, high-throughput production.
Partner with Product, Backend, and Security teams to integrate AI solutions globally.
Stay at the forefront of GenAI/LLM research to continuously improve our detection engines.

As Head of AI Engineering, you'll own how AI work is structured, prioritized, and managed across us - turning scattered, fast-moving efforts into a coordinated, scaled capability. You'll set the technical direction for how we build with GenAI and agentic systems, continuously scout the external ecosystem for what gives us an edge, and partner with platform engineering to make sure the infrastructure scales with demand.

This is equal parts strategy, organization, and technical judgment. You'll take ambiguous, high-level vision and turn it into execution - aligning teams and resources to business goals, and translating complex AI roadmaps for executives. You'll report to the CTO and work closely with leaders across R&D, Ops, CX, and Claims.

Responsibilities
Establish how AI initiatives are prioritized, staffed, coordinated, and delivered across various departments, bringing ownership and order to a fast-moving space.
Continuously assess external GenAI tools, platforms, and vendors; make build-vs-buy calls; and bring the best of what's out there into us.
Guide how we designs prompts, context layers, tools, and guardrails to make agentic orchestration reliable in production.
Ensure that across the company there are formal and informal education initiatives, many of which you will own or lead yourself.
Ensure the core AI foundations: serving, retrieval, evaluation, observability, and reliability - scale with the business.
Translate high-level vision into a sequenced roadmap, align resources to the highest-impact priorities, and measure outcomes against business goals.
Identify internal needs across teams, and articulate complex AI roadmaps clearly to non-technical, global executives.
Build the guardrails and governance around how the company works with AI.