We are building a centralized intelligence system for the entire organization - a system that collects, consolidates, and analyzes all organizational data, and actively drives business workflows and decision-making.
This role exists to take that system to the next level.
As the Lead Organizational Intelligence Engineer, you will own the evolution of an internal platform that already influences how decisions are made across the company - and turn it into a foundational capability that fundamentally reshapes how the organization operates. Youll work end-to-end: from data ingestion and modeling, through analytics and AI-driven insights, all the way to decision workflows used by executives, R&D, product, and go-to-market teams.
You will operate as a senior individual contributor with broad organizational influence, while laying the technical and product foundations for a future team.
What Youll Do:
Own the architecture and implementation of a company-wide organizational intelligence system, end-to-end
Design and build data pipelines that ingest and unify data from across the organization and into our own platform
Define and evolve data models and semantic layers that create a shared, consistent language across teams and domains
Build advanced analytics and insight mechanisms that move beyond dashboards into decision-enabling workflows
Work directly with company executives to co-define requirements, identify blind spots, and translate strategic questions into systems and capabilities
Apply a product-driven mindset: deciding not just how to build, but increasingly what should be built and why
Leverage frontier AI tooling and agent-based workflows to accelerate development, improve system quality, and expand whats possible
Write and own production-grade code, setting a high bar for quality, reliability, and scalability
Influence technical and organizational workflows across the company to enable deeper intelligence and better decisions
Lay the groundwork for future externalization of these capabilities into customer-facing products

We are looking for a Senior Product Analyst to help shape how data drives product and business decisions across the company, while driving our AI-first vision. You won't just be reporting on the past; you will be the architect of our future data flows.You will play a key part in bridging our entities, building and scaling our product analytics foundation, and turning complex data into actionable insights that guide product strategy, growth, and operational decisions.
The ideal candidate combines strong analytical skills with sharp business intuition, and enjoys working closely with product managers, leadership, and cross-functional teams to translate data into meaningful impact.
What will you be doing:
Lead the design and development of the product analytics infrastructure across the company
Define and maintain core product and business metrics, including defining and evolving the companys north star metrics
Design and maintain AI-first data workflows that enable faster insight generation and scalable analysis
Analyze product usage, customer behavior, and business performance to uncover insights and opportunities
Partner closely with Product, Engineering, and Business teams to support experimentation, feature analysis, and strategic initiatives
Establish best practices for data instrumentation, tracking, and analytics governance
Lead analytically driven initiatives across teams, influencing decisions and driving impact without direct management authority
Communicate insights clearly to stakeholders, helping drive data-informed product and business decisions
Proactively identify opportunities to improve product performance, user engagement, and business outcomes

We are looking for an Engineering Platform Manager to lead one of our core engineering teams and drive the evolution of our container security platform at scale.

This is a high-impact leadership role combining people management, technical ownership, and strategic influence. You will lead a team building mission-critical systems, shaping both architecture and engineering culture, while working closely with Product, Security, and Platform teams.

In this role, you will also help drive the adoption of AI-driven systems and workflows, enabling smarter, more scalable, and more efficient engineering and customer-facing solutions.

If you are a hands-on leader who thrives in complex, high-scale environments and knows how to build strong teams and scalable systems - this role is for you.

What You Will Own?
Lead, mentor, and grow a team of engineers, fostering a culture of ownership, accountability, and technical excellence.
Own end-to-end delivery of core platform components - from design to production and long-term scalability.
Drive development of cloud-native microservices in large-scale production environments.
Lead architecture discussions, design reviews, and code quality standards.
Help define and design AI-driven solutions, workflows, and systems tailored to customer and product needs.
Design and implement internal tools and automation, including AI-powered workflows, to improve scalability and reduce manual work.
Partner closely with Product, Security, and cross-functional teams to align execution with business goals.
Step into strategic or complex customer engagements when needed and help drive them to success.
Drive data-driven decision making, continuous improvement, and innovation across the team.
Lead Agile execution, planning, and predictable delivery across the SDLC.
Improve performance, scalability, reliability, and observability across the platform.
Contribute to long-term engineering strategy and roadmap.
Stay hands-on when needed - guiding design, debugging, and system optimization.

Alice is 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.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

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.

Were looking for a hands-on Business Systems & Automation Specialist to join our growing team. In this role, youll manage and optimize the business applications and integrations that power operations. Youll be part of the team that owns the companys applications ensuring theyre well-maintained, scalable, and integrated to support business growth.
Youll be one of the go-to experts for building automations and workflows to streamline operations across departments such as Sales, Customer Success, Operations, etc...
Responsibilities:
Administer and maintain core business systems and SaaS tools.
Design, build, and manage automations, native integrations, and custom API scripts.
Partner with cross-functional teams to understand business requirements and translate them into efficient system solutions.
Explore, test, and implement new technologies or integrations that can add value to the business.
Manage CRM configuration, data integrity, and automations to support sales and account management workflows.
Monitor system performance, troubleshoot issues, and ensure optimal reliability.
Identify opportunities to improve processes through technology and automation.
Document system configurations, workflows, and best practices.
Collaborate with IT & security to ensure compliance and secure integration across tools.

We are seeking a dynamic and experienced Security Data Analyst to spearhead our cybersecurity initiatives and drive innovation within our team. In this pivotal role, you will lead the development of new security features, conduct in-depth data analysis and validation, conduct network research, develop new security concepts, and enhance our threat detection and response capabilities.

If you thrive in a fast-paced environment and are excited about pushing the boundaries of cybersecurity, we want to hear from you.


Responsibilities:
Apply data analytics techniques to investigate security-related data, extract actionable insights, and enhance threat intelligence.
Perform data analysis to uncover anomalies and detect malicious behavior within the organization's network, aiming to automate these findings into a detection system.
Leverage current cybersecurity knowledge to interpret and contextualize findings, enabling informed decision-making and proactive measures to strengthen overall cybersecurity defenses.
Provide on-the-fly support during customer incident response events and penetration testing exercises by leveraging expertise to promptly detect and block security threats.
Research various network behaviors and patterns.

As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients. This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.

Together, we can shape the future of network security.


Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.

As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients. This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.

Together, we can shape the future of network security.


Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.

We are seeking an experienced Malware Research Director to build and manage multiple teams dedicated to malware research. This role presents an exciting opportunity to establish a new operation from the ground up, creating processes, optimizing and setting up cross-team collaboration while serving as the primary client interface.

The position is primarily leadership, client-facing, creating solutions and requiring exceptional team-building and operational setup skills. The ideal candidate demonstrates high technical skills, proven experience in building teams from scratch, establishing new operations, and strong client relationship management capabilities.

Key Responsibilities:
Establish operational processes, workflows, and quality standards for the new teams.
Coordinate with other departments to integrate the new operation into the existing infrastructure.
Serve as primary client interface, managing relationships and ensuring client satisfaction.
Present research findings and malicious evidence to clients and stakeholders.
Advise on technical aspects for malware research challenges and automated solutions.
Create training programs and onboarding processes for new team members.
Develop performance metrics and evaluation frameworks for team effectiveness.
Lead client meetings, requirement discussions, and project planning sessions
Collaborate with sales and business development teams on client engagements.