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Our Analytics, a business within our company, is dedicated to advancing healthcare marketing with AdTech analytics, innovative planning, targeting, measurement, and optimization solutions. Positioned at the center of big data, innovative technology, and multichannel media, we provide most life sciences companies with insights to help make strategic business decisions and drive improved advertisement and patient outcomes.

As an Engineering Manager, you'll lead a group of team leads and software engineers building the infrastructure for the unique Analytics Platform.
What You'll Do
Build and lead a team of professional software and DevOPs engineers responsible to deliver high-quality software solutions
Provide technological and managerial coaching to R&D team members based on extensive hands-on and managerial experience
Ensure efficient CI/CD and testing coverage
Be accountable for group commitments
Cooperate effectively with Data scientists on productization of prediction data pipelines

We seek an experienced Full Stack Engineer with expertise in Flutter, capable of driving projects from concept to completion end to end, including backend development. The ideal candidate is a self-starter, able to work independently but also lead team initiatives. Experience in Python, Go or Angular can also be a significant plus.

Responsibilities:
Develop and implement complex and user-friendly interfaces using Flutter.
Be the Mobile authority - develop our standards, best practices and architectural guidelines.
Deliver end-to-end solutions, including backend services and APIs, using Python or Go.
Collaborate closely with the product and platform teams to deliver comprehensive solutions.
Lead new projects and initiatives within the team, ensuring deadlines are met.

We are looking for a Full-Stack Software Engineer to join our team!
A day in the life and how youll make an impact:
Each member of our team is an all-around player who influences the product from the overall experience to the development.
Youll be using top technologies like React, Node.js, AWS, and scalable databases to build a unique experience in B2B payments.
You should be passionate about engineering and building a product end-to-end, through the design, coding, testing, and deployment phases.

Were seeking an experienced and skilled Data and AI Infra Engineer to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
A day in the life and how youll make an impact:
As a Senior Engineer, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

Were looking for an experienced hands-on Software Engineering Team Lead to lead a highly skilled team of backend and frontend engineers through implementation, delivery, iteration, and build scalable systems that serve our customers.

Responsibilities:
Foster a positive, collaborative culture and grow the teams capabilities.
Lead and mentor engineers to ensure on-time delivery, quality development, productivity, and efficiency by conducting and lead design reviews & code reviews.
Work together with product managers to translate requirements into scalable technical solutions.
Balance refactoring and evolution with steady delivery of new features.
Drive a culture of technical excellence, ownership, and continuous improvement.
Oversee system reliability, monitoring, performance optimization and incident response.

We're looking for a Senior Backend Engineer to join our team.
A day in the life and how youll make an impact:
Each member of our team is an all-around player who influences the product from the overall experience to the development.
Youll be using top technologies like Typescript, Node.js, AWS and scalable databases to build a unique experience in the world of B2B payments.
You should be passionate about engineering and building a product end-to-end, through the design, coding, testing, and deployment phases.

Were looking for a talented Backend Engineer to take a significant role in the development of a highly robust, multi-cloud, multi-region SaaS platform.

As a Backend Engineer at Akeyless, you will be part of a small and high-performing team, developing a SaaS platform that provides technical solutions for DevOps.

This role includes working in a multi-cloud environment (AWS, GCP, Azure), developing microservice architecture with Golang. You will work in a dynamic and agile environment with the most cutting edge technologies.

we are looking for a Senior Data Analyst.
As a Data Analyst you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep a data driven company.
You will play a key role in the ability of each team to keep scaling!
How your day is going to look, what you will be doing?
- Helping each team to take decisions based on data by:
Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights
Define and implement KPIs across different teams
Accompany product features from tech design to feature performance
Translate product/business requirements to analytical logics, and create a very clear visualization which "tells the story" using a BI tool or other platform.

Were hiring a Customer Success Engineer to work directly with customers to onboard, implement, troubleshoot, and optimize the platform- across Linux, Kubernetes, IAM, and secure access workflows. Youll be the primary technical contact: diagnosing issues, guiding best practices, collaborating with Product/Engineering on escalations, and turning learnings into repeatable runbooks that keep deployments stable and effective.

Responsibilities:
Deliver a smooth onboarding experience and drive adoption/expansion for existing customers.
Proactively identify opportunities to drive customer success and product adoption through architectural guidance, hands-on enablement, and technical planning.
Investigate and resolve our cases (secret access, authentication, certificate workflows, remote access) while guiding secure configuration and best practices.
Reproduce issues in test environments (Linux, Docker, K8s) to isolate root causes.
Write KB articles to streamline troubleshooting and improve customer experience.
Learn customers business and challenges; log and communicate requirements; partner with Product & Engineering to escalate/validate fixes, contribute to team processes, internal tooling, and advocate for customers.
Act as a trusted advisor and support critical issues.

we are looking for a Senior Data Engineer.
As a Senior Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making.
Key Responsibilities:
Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources.
Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions.
Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse.
Develop and optimize analytics-oriented data models to support business decision-making.
Champion data quality, consistency, and governance across the analytics layer.

The Sales Development Representative plays a critical role in driving top-of-funnel growth across a defined segment or product. This role is responsible for identifying, engaging, and qualifying prospective customers through inbound and outbound prospecting. By uncovering client needs, educating prospects, and generating qualified opportunities, the SDR directly contributes to pipeline development and overall revenue performance. The position requires strong communication skills, curiosity, and the ability to operate in a fast-paced, high-growth environment.
Responsibilities
Generate new business opportunities through inbound and outbound prospecting, including email, phone, social channels, events, and campaigns.
Identify, research, and qualify prospective clients by understanding their needs, challenges, and readiness to engage with sales.
Create and execute outreach sequences, including personalized email campaigns and cold-calling to map and penetrate accounts.
Engage existing customers as needed to identify cross-sell or expansion opportunities across a defined segment or product (as applicable to the team).
Educate and nurture leads to progress them toward a qualified meeting or next step in the buyer journey.
Maintain accurate and up-to-date lead and activity data in CRM and sales engagement tools.
Collaborate with Account Executives to ensure smooth and effective handoff of qualified opportunities.
Partner with Sales, Marketing, and other teams to continuously refine lead-generation processes, messaging, and workflow improvements.
Achieve or exceed monthly and quarterly targets for qualified meetings, Sales Qualified Opportunities, and pipeline contribution.
Participate in ongoing training, coaching, and skill development.

we are looking for a Senior Front End Engineer.
As a Senior Frontend Engineer, you will create a rich, themeable design system that empowers product teams to deliver branded experiences seamlessly across multiple clients.
As part of this role, you will collaborate closely with designers, engineers, and product managers to ensure the creation of flexible, scalable, easy to adopt, and reusable components while maintaining high performance and accessibility standards.
This is a unique opportunity that enables white-label solutions, giving each customer a distinct brand identity while maintaining core functionality and consistency.
A day in the life and how youll make an impact:
Develop and maintain UI components using React that are white-label-ready.
Collaborate with designers to translate Figma designs into pixel-perfect components.
Support product teams initiatives through design system adoption.
Ensure cross-browser compatibility, accessibility (WCAG), and performance optimization.
Build documentation, guidelines, and tools to support adoption and usage.
Participate in code reviews and mentor other engineers.
Identify and solve complex frontend challenges across multiple projects.

We're looking for a Senior Full Stack Engineer to join our team!
A day in the life and how youll make an impact:
Each member of our team is an all-around player who influences the product from the overall experience to the development.
Youll be using top technologies like React, Node.js, AWS, and scalable databases to build a unique experience in B2B payments.
You should be passionate about engineering and building a product end-to-end, through the design, coding, testing, and deployment phases.

We are looking for an experienced Senior Technical Services Engineer to join our dynamic team based in Israel. You will play a critical role in ensuring the smooth operation of our technical infrastructure and product flows.
Your responsibilities will include providing tier 3 technical support for escalated issues, taking charge of building monitors, maintaining continuous vigilance over the production environment, and taking the lead in coordinating incident response efforts across different departments.
A day in the life and how youll make an impact:
Lead cross-functional efforts to identify, analyze, and address intricate technical challenges, fostering seamless collaboration between various support teams and engineering units. Additionally, assume responsibility for addressing complex support tickets and ensuring adherence to stringent SLAs, all while maintaining a commitment to meeting service level objectives.
Lead cross-functional efforts to tackle complex technical challenges, ensure smooth collaboration between support and engineering teams, handle complex support tickets, and meet SLAs.
Continuously monitor diverse processes across our systems, proactively identifying potential issues before they escalate. Additionally, engage in thorough research of issues arising from these monitoring activities and collaborate closely with the R&D team to develop effective resolutions. Simultaneously, contribute to ongoing improvements to our monitoring systems to elevate their efficacy and reliability.
Monitor system processes to spot potential issues early, research problems, collaborate with R&D for solutions, and enhance our monitoring systems.
Take an active role in incident management efforts while also contributing to continuous improvements in R&D processes. Diligently track key metrics and maintain proactive oversight to ensure sustained optimization.
Develop monitoring tools and drive process improvement initiatives to ensure smooth system operations and enhanced operational efficiency.

Were seeking an experienced and skilled Data and AI Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.