Prisma-Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art machine learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly. We are seeking our Data Operations Team Leader! This person will oversee a team of data operations specialists responsible for labeling data for machine learning and AI projects. This role involves managing day-to-day operations, ensuring annotation quality and accuracy, developing guidelines, and collaborating with cross-functional teams to meet project deadlines and objectives.

Hiring Manager:
Guy Engel

What You’ll Do:

* Manage the end-to-end data workflow, from incoming data through annotation delivery to the ML teams, including overseeing data upload processes and ensuring data availability.
* Manage database operations and ensure the integrity and availability of annotation data.
* Become a Subject Matter Expert in our data and actively participate in hands-on annotation projects.
* Create and maintain onboarding materials, annotation guidelines, and operational documentation to support knowledge sharing and consistent annotation practices.
* Lead a team of Data Operations Specialists by managing task assignments, scheduling, and day-to-day execution. Provide the tools and processes needed for efficient work, ensure high annotation quality in collaboration with the ML teams, and continuously improve workflow efficiency
* Own the annotation platform, driving bug fixes, feature development, and workflow improvements using Python and GenAI tools.
* Develop and maintain operational dashboards and real-time performance metrics to monitor team efficiency, quality, and output.
* Collaborate closely with data scientists, machine learning engineers, and product managers to understand annotation requirements and project goals. Coordinate cross-functional communication, monitor operational KPIs, and oversee daily operations to keep projects on track and ensure adherence to shifting schedules.

What You Bring:

* STEM graduate or equivalent Technical background
* Experience leading a team of Data Operations Specialists or similar teams.
* Proven ability to manage multiple projects simultaneously and effectively prioritize competing responsibilities.
* Excellent communication and collaboration skills, with a demonstrated ability to build strong cross-functional relationships and foster team success.
* Experience developing internal tools and micro-services with Python, and leveraging GenAI tools to accelerate development and operational workflows.


Great to Have:

* Experience leading juniors and/or part-time students.
* Experience with seismic data and/or spectrograms.
* Experience designing, developing, or improving annotation tools and annotation workflows.

As the AI Solution Manager you will be the primary technical executor of the organizations AI transformation. This is a critical role within our AI Squad who map opportunities and execute end-to-end solutions that drive a measurable competitive advantage. You are the "hands-on" specialist responsible for the delivery, integration, and adoption of AI tools across all departments. This role requires a high degree of technical literacy regarding infrastructure and integrations, combined with a proven track record in large-scale system implementation.
Responsibilities
Own the technical rollout of AI tools, from initial configuration and API integrations to cluster management and full-scale production deployment.
Architect and build complex automated workflows that bridge the gap between AI products and internal organizational systems, ensuring reliability and scalability.
Manage the technical environment requirements for AI tools, including the setup and maintenance of clusters and the coordination of the underlying system architecture.
Act as the primary technical point of contact for departments during the implementation phase, translating business requirements into precise technical configurations and workflows.
Establish performance metrics for implemented tools, monitoring adoption and technical efficiency to ensure maximum organizational impact.

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 seeking a Technical AI Project Manager to own and drive end-to-end internal AI initiatives and roadmap across our company, turning AI from experimentation into measurable productivity gains. You will be the single accountable owner for internal AI transformation solutions that fundamentally change how core processes work across IT, HR, Finance, Sales, and other business functions. You will lead initiatives where AI agents significantly automate end-to-end processes (e.g., recruitment, finance operations, internal IT workflows), partnering with our internal AI delivery teams and business stakeholders to move from idea to live, adopted, value-generating AI solutions.
How will you make an impact? 
You will own the full lifecycle of cross-functional AI initiatives: from opportunity framing through delivery, adoption, and measured outcomes. You will redesign business processes, translate business needs into actionable AI initiatives, and coordinate delivery with the IT AI Center of Excellence and business stakeholders.
This is a high-impact role for someone who combines strong business analysis with project leadership, thrives on driving concrete outcomes under ambiguity, and is energized by leading AI transformation across multiple business areas.
Project Ownership & Accountability
Own the full lifecycle of cross-functional AI initiatives, from opportunity framing through production rollout, adoption, and measured impact
Act as the single accountable owner for each AI transformation solution, with dedicated focus and clear lines of accountability
Drive concrete outcomes even when the solution is evolving or exploratory at the start; manage risks, dependencies, and stakeholder alignment proactively
Business Process Leadership
Analyze business processes deeply; identify where AI agents can automate, accelerate, or rethink existing work
Translate business needs into actionable AI initiatives with clear scope, success metrics, owners, and timelines
Partner with Finance, HR, IT, Sales, and other functions to redesign processes around agent-driven automation
Work hand-in-hand with the IT AI Center of Excellence
Outcomes & Impact
Partner with the AI analysts to define and report measurable impact: hours saved, cycle-time reduction, deflection, adoption, and ROI
Ensure every initiative reaches production with documented handover to operations and ongoing ownership.

We're looking for a driven, experienced, and forward-thinking Product Operations specialist to join our Product organization and help drive operational excellence across our product lifecycle. This is a high-impact role where you'll work with cross-functional teams and play a key part in shaping the future of OX by streamlining processes and scaling our capabilities.

What You'll Be Doing
Lead or support the optimization of internal workflows, aligning and automating processes across the Product and R&D organizations- leveraging people or AI.
Collaborate with cross-functional stakeholders to define, implement, and track key product success metrics and data-driven insights.
Drive efficiency by identifying bottlenecks, repetitive tasks, and inefficiencies across the product lifecycle - and fixing them by establishing best practices for cross-team collaboration.
Spearhead the integration and adoption of advanced AI tools, ensuring the product team is equipped with the best infrastructure to succeed.
Help us continuously improve by fostering a culture of agility, data transparency, and collaborative effort across the entire organization.

We are looking for a highly technical and hands-on AI Transformation Lead to drive the implementation and adoption of AI across the organization.
This is a builder role, not a strategy-only position. You will be responsible for identifying high-impact opportunities, designing and implementing AI-powered solutions, and integrating them into our existing systems and workflows across R&D, Support, Sales, and Operations.
The ideal candidate combines a strong engineering background with the ability to translate business needs into scalable, production-ready solutions - and ensure they are actually adopted and deliver measurable impact.
Role Mission:
Lead the companys AI transformation end-to-end through practical implementation - building, integrating, and scaling AI-driven workflows and internal tools that improve efficiency, quality, and business performance across all departments.
What Youll Do:
Build & Implement AI Solutions (Core Focus):
Design, build, and deploy AI-powered workflows, automations, and internal tools
Develop rapid POCs and evolve them into production-ready solutions
Work hands-on with LLMs, APIs, and automation frameworks
Ensure solutions are scalable, maintainable, and aligned with system architecture
Integrate with Systems & Architecture:
Integrate AI solutions into existing platforms (CRM, support systems, internal tools, data flows)
Design robust integrations using APIs and orchestration layers
Ensure alignment with engineering standards, security, and data integrity
Drive Cross-Company Impact:
Identify high-value use cases across R&D, Support, Sales, Domain, and Operations
Translate business workflows into efficient, AI-driven processes
Partner with stakeholders to ensure solutions solve real problems
Own Adoption & Impact:
Ensure solutions are used, not just built
Define and track KPIs (efficiency, time saved, quality improvements, adoption rates)
Continuously iterate based on feedback and real-world usage
Enable & Standardize:
Establish best practices for AI usage across the company
Guide teams on how to effectively use AI tools in their daily work
Act as the internal expert for AI workflows, tools, and capabilities
What Success Looks Like (First 3-6 Months):
Delivered multiple production-level AI solutions with measurable business impact
Reduced manual work and improved efficiency across at least 2-3 departments
Successfully integrated AI workflows into core systems and daily operations
Achieved strong adoption across teams (beyond experimentation).

Our Graphics Solutions Business (GSB), a $3B revenue organisation, is seeking a seasoned Head of Data & IT Strategy to lead its next phase of digital and data transformation. This role reports to the GSB CIO and is responsible for shaping and executing the GSB IT and data strategy, building modern data platforms, and driving AI-enabled business transformation in close partnership with our global data organisation.
Key Responsibilities:
Lead enterprise data transformation across GSB in partnership with our Global Data organization
Build, manage, and scale a data engineering team
Define and shape the GSB IT strategy aligned with business priorities
Design and implement modern data platforms supporting AI/ML use cases
Act as a strategic partner to senior business and IT stakeholders.

Come join the team as a Staff Machine Learning Engineer.
We are seeking a highly skilled ML engineer passionate about building a world-class platform at a high scale, specifically focused on delivering AI capabilities.
You will be part of a vibrant team of AI Scientists and ML Engineers, helping to build the next generation of awesome products and experiences using cutting-edge Generative AI technology.
If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
Responsibilities:
Design, implement, and enhance services at large scale, specifically focusing on improving Generative AI inference, quantization, optimization, finetuning, and evaluation.
Use your coding expertise to design and implement scalable, modular, and secure services.
Develop backend systems that support serving of LLMs and AI Agents at scale, utilizing the latest industry tools and techniques.
Work cross-functionally with product managers, AI scientists, business units, and other engineers to understand, implement, refine, and design Generative AI models.
ng end-to-end responsibilities including technical documentation and automation tests.
Interact with a variety of data sources, working closely with peers to refine features from the underlying data and build end-to-end pipelines.
Resolve defects and bugs during testing, production, and post-release patches, and participate in peer code reviews.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.