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We are looking for an experienced Global HR Operations & HRIS Manager to lead and optimize our global HR operations, systems, and processes.

In this role, you will own key HR operational processes across the employee lifecycle, HR systems, data structures, workflows and automation initiatives, and lead cross-functional projects that improve efficiency, scalability, and employee experience.

You will partner closely with HR, Talent Acquisition, Finance, Payroll, IT, and Information Systems teams to build simple, effective, and scalable solutions that support our global growth.

What You'll Do
Own and continuously improve global HR operations across the employee lifecycle, including onboarding, employee changes, mobility, relocation, offboarding, and rehires.
Partner with HRIS to drive process improvement initiatives from planning through adoption
Drive automation, workflow optimization, and operational excellence across the People organization.
Partner with cross-functional stakeholders to streamline processes and improve operational efficiency.
Identify and eliminate manual or fragmented processes through technology and automation in collaboration with the HRIS.
Maintain and improve HR documentation, approvals, notifications, and employee lifecycle workflows.
Ensure operational compliance and data integrity consistency across HR systems
Support reporting and people data initiatives to enable informed decision-making.
Lead AI adoption across the HR organization, partnering with HR leaders to identify opportunities, implement solutions, and promote innovative ways of working.
Lead and mentor an HR Operations team.
Manage multiple HR Operations and partner closely with HRIS on technology projects in a fast-paced global environment.

We are seeking a GTM Business Analyst with strong marketing analytics expertise to help Marketing make faster, more measurable growth decisions. You will partner with the CMO, Marketing Operations, SDR leadership, RevOps, Sales, Finance, and Data/BI to create a trusted view of marketing impact and investment efficiency.
This hands-on role combines digital and web analytics, attribution, campaign optimization, and data storytelling in a high-growth B2B SaaS environment.

Responsibilities

Marketing Analytics & Insights

Analyze performance across digital channels, campaigns, segments, regions, and the customer journey.
Build measurement frameworks for awareness, engagement, lead generation, conversion, campaign effectiveness, and marketing ROI.
Develop and improve attribution models that assess the contribution of marketing touchpoints and inform investment decisions.
Analyze direct, indirect, partner, affiliate, paid, organic, and field marketing activities to optimize channel mix and ROI.
Measure channel marketing performance, including partner-sourced activity, co-marketing initiatives, partner engagement, and contribution to demand generation.
Identify opportunities to improve targeting, audience segmentation, campaign conversion, and marketing investment efficiency.
Analyze SDR productivity, lead follow-up, capacity, conversion, and marketing-to-SDR handoff effectiveness.

Data & Analytics Operations

Build a scalable marketing data domain integrating campaign, web, CRM, marketing automation, partner, product, and commercial data.
Develop reliable data models and analytical datasets using dbt, Snowflake, and SQL.
Create self-service dashboards using Tableau, Looker, Power BI, or comparable visualization tools.
Partner with Marketing Operations and Data/BI on tracking, campaign taxonomy, data quality, governance, and metric definitions.
Use Generative AI and modern analytics tools to automate reporting and accelerate insight generation.

Cross-Functional Collaboration

Act as a trusted partner to Marketing leadership on planning, budget allocation, and performance management.
Work closely with Marketing Operations, SDR, Channel, RevOps, Sales, Finance, and Data/BI teams to align measurement and improve execution.
Present clear, executive-ready insights and recommendations.

We are looking for someone who combines strong hands-on technical skills with a systems mindset - someone who can troubleshoot complex issues, automate repetitive work, improve existing architecture, and lead infrastructure initiatives from design through production.



Key Responsibilities

Manage and improve cloud infrastructure, primarily in AWS, with exposure to Azure, GCP, and other cloud platforms.
Own identity and access management across cloud and SaaS environments, including Entra ID, SSO, IAM, RBAC, and user lifecycle processes.
Administer and troubleshoot Microsoft 365, VMware, networking, and other core enterprise infrastructure.
Automate operational and administrative tasks using Python, PowerShell, APIs, Infrastructure as Code, and AI-assisted tools.
Use AI effectively for scripting, troubleshooting, documentation, analysis, and improving IT operational workflows.
Manage enterprise endpoints and device compliance using Kandji and Microsoft Intune.
Troubleshoot complex infrastructure, cloud, identity, and connectivity issues and act as an escalation point for the IT team.
Partner with Security and Engineering teams to improve access controls, infrastructure security, monitoring, and compliance.
Proactively improve reliability, scalability, documentation, and operational processes.

We're looking for an experienced and passionate ML Engineering Team Lead to lead our ML Engineering team and shape the next generation of our AI infrastructure. This is a hands-on leadership role where you'll combine technical leadership, software architecture, and people management to build scalable, production-ready AI systems running on edge devices.
About The Role:
Lead, mentor, recruit, and grow a team of software engineers, fostering a culture of ownership, collaboration, and continuous improvement.
Own the team's technical roadmap, architecture, execution, and project prioritization, aligning delivery with business goals.
Design, build, and maintain scalable software and ML infrastructure across cloud and edge environments.
Partner with AI Researchers to productionize Computer Vision and Deep Learning models into reliable, high-performance systems.
Design and optimize inference pipelines with a focus on scalability, latency, and reliability.
Drive engineering excellence through architecture reviews, code reviews, development best practices, and modern AI-assisted engineering workflows.

We are looking for a passionate and experienced QA Tech Lead to take ownership of quality across our products and lead our QA efforts from a technical perspective. This is a senior, hands-on role, focused on manual testing, technical leadership, and close collaboration with multidisciplinary R&D teams.
As a QA Tech Lead, you will shape QA methodologies, lead the QA team technically, and ensure the delivery of high-quality, reliable systems built on AI, computer vision, and hardware-software integrated solutions. You will thrive in a high-pace, dynamic environment with frequently changing priorities, while maintaining high professional standards and strong cross-team collaboration.
This is a full-time, on-site position (5 days a week from the office).
About The Role:
Perform hands-on manual testing of complex AI-driven and HW-SW integrated systems
Define, implement, and continuously improve QA processes, methodologies, and best practices
Own quality throughout the full product lifecycle, from requirements to production
Plan QA activities based on business and technical priorities, adapting quickly to changing needs
Work closely with all R&D teams
Identify risks, prioritize issues effectively, and ensure timely and high-quality deliveries
Strengthen the companys quality culture by promoting ownership, accountability, and collaboration
Lead the QA team technically, providing hands-on guidance and setting high standards for quality

We're looking for a product-minded Full Stack Engineer who loves solving complex engineering challenges and building AI-powered products used daily by thousands of shoppers worldwide.
You'll work side-by-side with AI tools and cutting-edge computer vision technology, shipping features end-to-end with real ownership and impact.
You'll collaborate not only with engineers, but also with AI-powered development tools as part of your daily workflow.
About The Role:
Own features end-to-end - from product discussions through design, implementation, testing and production.
Design scalable backend services and intuitive frontend experiences.
Collaborate closely with Product, Data, Algorithms and Computer Vision teams.
Use AI-assisted development tools to accelerate delivery while maintaining high engineering standards.
Continuously improve system architecture, performance and developer experience.
Investigate complex production issues and drive long-term solutions.
Contribute to technical decisions and architecture discussions.

we are looking for a Senior Machine Learning Engineer.
As a Senior Machine Learning Engineer at MyHeritage, you will play a crucial role in developing and implementing machine learning models that drive our products and user experiences. You will have a significant impact on our large and growing user base by leveraging the latest AI technologies to solve challenging problems at scale. This is a unique opportunity to join a forward-thinking team that is passionate about innovation, data, and machine learning.
What youll do:
Design, develop, and deploy machine learning models for various business needs.
Collaborate with cross-functional teams, product managers, and software engineers, to integrate ML solutions into production systems.
Experiment with and iterate on model architectures to improve accuracy, efficiency, and scalability.
Work with large datasets to preprocess, clean, and extract meaningful features for model training.
Utilize MLOps best practices to automate and streamline the development lifecycle of ML models.
Monitor model performance and fine-tune for optimization.
Stay updated with the latest research and advancements in machine learning and AI.

Are you an energetic self-starter who wants to make a difference in peoples lives? Sell a product youre proud of, and make great money along the way.
We are looking for phone sales reps to market our life-changing products all over the world.

We are looking for a highly skilled Senior Security Engineer to join our security team and lead initiatives across our corporate systems, cloud infrastructure, and AI-enabled environments. You will play a critical role in designing practical security controls, driving complex security projects, and fostering a culture of secure innovation as we scale.
What youll do:
Own security initiatives across corporate systems, endpoints, identities, SaaS, cloud, and internal infrastructure.
Design and implement practical security controls that reduce risk without slowing the business.
Own the security review and approval process for AI tools, AI-enabled applications, and autonomous agents across the organization.
Define security requirements and guardrails that enable teams to adopt AI securely.
Evaluate new technologies, integrations, and architectures and provide clear security recommendations.
Lead security projects from assessment and design through implementation and ongoing operation.
Work closely with IT, Infrastructure, DevOps, R&D, Legal, and business teams.
Investigate security issues and drive remediation.