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we are looking for a Senior Front End Engineer.
What youll do:
Design, build, and iterate on AI-driven systems and prototypes that advance how brands are represented in LLMs and AI platforms.
Own projects end-to-end, from concept and architecture to deployment, evaluation, and iteration.
Collaborate cross-functionally with product, data, and research to validate ideas fast and deliver meaningful outcomes.
Explore new tools, APIs, and models to push the boundaries of whats possible with AI and data.

we are looking for a Frontend Team Leader.
As a Frontend Infrastructure Team Leader, you will shape the foundations that power our frontend ecosystem and influence how engineering excellence is practiced across the company.
Key Responsibilities:
Provide strong technical leadership and architectural direction for frontend infrastructure
Lead, mentor, and grow a team of frontend engineers, fostering a culture of ownership, collaboration, and excellence
Define and execute the frontend infrastructure roadmap in alignment with company objectives
Evaluate and implement modern frontend technologies and best practices to ensure scalability, performance, and maintainability
Collaborate cross-functionally with product, backend, design, and other stakeholders to drive cohesive solutions

We are hiring Intermediate Malware Researchers to analyze and review malware applications. Candidates should have a background in cybersecurity and software development.

The role includes training in malware analysis and detection and provides exposure to various malware threats and techniques. Researchers will combine technical and intelligence findings to reach accurate verdicts and assist in the bulk removal of malicious applications. The position requires adaptability and proactive identification of emerging malware trends.

We are seeking candidates who are willing to learn, can perform effectively under pressure, and maintain high professional standards.

we are looking for a Frontend Infrastructure Team Leader.
Key Responsibilities:
Provide strong technical leadership and architectural direction for frontend infrastructure
Lead, mentor, and grow a team of frontend engineers, fostering a culture of ownership, collaboration, and excellence
Define and execute the frontend infrastructure roadmap in alignment with company objectives
Evaluate and implement modern frontend technologies and best practices to ensure scalability, performance, and maintainability
Collaborate cross-functionally with product, backend, design, and other stakeholders to drive cohesive solutions

We are looking for an experienced Marketing Automation Specialist with a solid background in marketing tech-stack management, digital marketing channels, and marketing operations. This role is essential for streamlining our marketing efforts by ensuring alignment between organization goals and systems, and improving the quality and velocity of our marketing activities. The ideal candidate will be responsible for:
Marketing Tech-Stack Management - oversee and optimize our marketing systems and tools (including CRM systems, email marketing platforms, event platforms, analytics tools), and work collaboratively with the revops team for seamless integration, enhancements.
Data Management and Analytics - ensure data quality and compliance. Analyze data and performance metrics to identify trends, patterns, and opportunities for improvement, and provide insights and recommendations to the leadership team.
Lead Management - Manage the lead generation and lead lifecycle processes (creation, optimization, data flow, etc.)
Campaign Management - manage operational processes and automations, including setting up forms, automated emails, UTMs generation, testing, data import and analysis.

we are looking for a Back End Engineer.
What youll do:
Design, build, and iterate on AI-driven systems and prototypes that advance how brands are represented in LLMs and AI platforms.
Own projects end-to-end, from concept and architecture to deployment, evaluation, and iteration.
Collaborate cross-functionally with product, data, and research to validate ideas fast and deliver meaningful outcomes.
Explore new tools, APIs, and models to push the boundaries of whats possible with AI and data.

we are looking for a Engineering Manager - Analytics Platform.
As an Engineering Manager, you'll lead a group of team leads and software engineers building the infrastructure for the unique Veeva 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 are looking for a Product Manager.
In this role, you will be the bridge between internal technical teams and external data partners, ensuring seamless data onboarding into our data network.Youll be responsible for driving high-quality health data as part of our Product team, working closely with Engineering, QA, Data Operations, and the Data Partnership teams. You will have two key areas of focus:
Data onboarding - Designing and owning health data onboarding, focused on establishing a streamlined and effective process that brings data on with quality and speed. Youll understand the details of data feeds we onboard, own the analytics for how new data affects our data network and identify product improvements to better assimilate new data.
Data quality of our onboarded data - Define and oversee key quality metrics, monitoring and dashboards. You will act as a key technical point of contact, working directly with Data Partners to resolve discrepancies, align on data specifications, and drive continuous improvements to the quality and reliability of our data network.
You will be making an impact on business growth by owning the new data onboarding solution and product features. This will include being hands-on with the data, designing features, writing detailed mapping specifications, and building the roadmap of improvements to continue to enrich our data and drive product excellence.
This is a great opportunity for someone who is passionate about data and excited about working alongside Data Partners, Product Managers, Data Operations, Engineers, and QA to drive continuous improvement and data quality in our Crossix Data Platform.
What You'll Do:
Participate in health partner data onboarding. Work closely with the Data Partner to understand their data and discuss the technical aspects related to it
Own and design data onboarding features start to finish including user stories, functional and non-functional requirements, feature and mapping specifications, quality control checks, and data dictionaries
Manage the overall initial data onboarding plan: release and sprint planning, manage the prioritization, communicate with Data Partners and mitigate technical risks
Manage and improve ongoing processes of tracking data quality from all suppliers. Communicate to stakeholders detected issues and drive its resolution
Collaborate closely with Health Data Partnerships, Engineering, QA, Data Operations and Product Management to ensure products are built and delivered with quality
Build expertise on the inbound data, per data type (prescription, medical claims etc.)
Establish quality metrics, monitoring and dashboards, and design roadmap and plan to drive continuous improvement of our data product
Lead and execute ongoing data quality monitoring, managing stakeholder communications and collaborating with Data Partners to drive issue resolution
Own the investigation and resolution of data observations and data questions

We are seeking a driven, detail-focused professional to become a vital part of our team as a Generative AI Analyst. In this role, you'll dive into the cutting-edge of technology, meticulously analyzing various content infringements to secure the new wave of Generative AI tools. Your duties will include collaborating with experts in diverse fields such as Hate Speech, Misinformation, Intellectual Property and Copyright, Child Safety, among others.

Your tasks will involve writing adversarial; prompts to identify weaknesses in various AI models, including Large Language Models (LLMs), Text-to-Image, Text-to-Video, and beyond. You'll also oversee data management to guarantee the highest quality of outputs.

Responsibilities:
Developing adversarial and risky prompt strategies across several areas of abuse to expose potential vulnerabilities in models.
Managing projects end-to-end, from initial planning and oversight through quality assurance to final delivery.
Handling extensive datasets across multiple languages and areas of abuse, ensuring precision and meticulous attention to detail.
Ongoing investigation into new tactics for circumventing foundational models' safety measures.
Working alongside diverse teams, engineering, product, policy, to tackle new challenges and craft forward-thinking strategies and resolutions.
Promoting a culture of knowledge exchange and continual learning within the team.