דרושים » תוכנה » Analytics Functionality Analyst

We are seeking an Analytics Functionality Analyst to join our Analytics engineering group. In this role, you will serve as a crucial partner to the Product Manager, facilitating the translation of complex analytics into actionable steps for functional software delivery. This hybrid position combines robust analytical skills with a keen understanding of engineering processes, allowing the Product Manager to focus on the strategic “what” and “why,” while you ensure clarity on the operational “how.” What you’ll do: Feature Translation: Convert high-level analytical concepts and product features into clear, functionally defined user stories that capture algorithmic and statistical nuances for the engineering team. Collaboration with Engineering Teams: Work closely with developers and data scientists to assess feature feasibility, identify edge cases, and establish thorough testing and validation criteria within the engineering environment. Customer Engagement: Participate in technical discussions with customers, especially when deep modeling insights or analytics expertise are required, to gather feedback that informs engineering decisions. Documentation Authority: Own the documentation of analytics functionality, positioning yourself as the internal authority on modeling logic and assumptions, thereby ensuring consistency and clarity across engineering projects. Support Engineering Testing: Drive the testing and validation of implemented models and features, ensuring they function as expected from an analytics perspective and contributing to overall product quality.

Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

What We Are Looking For As a VP of AI Security Research you will lead, scale, and inspire multi-disciplinary teams focused on red teaming, sandboxing, adversarial testing, developing red-teaming engines, and guardrail protections for GenAI models and agentic AI systems. In this high-profile role, you will work closely with security research, product, engineering, and compliance teams to shape and deliver the next generation of AI cybersecurity solutions, while combining strategic vision with execution to effectively safeguard LLMs and agentic AI deployments at scale. Key Responsibilities
* Building and scaling global AI security teams, while providing mentorship to senior managers and fostering an innovation-driven security culture.
* Overseeing advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems, and delivering executive-level threat intelligence and risk assessments to inform corporate AI strategy.
* Defining and implementing AI red-teaming frameworks aligned with OWASP AI Security guidelines, MITRE ATLAS, and NIST AI RMF, and operationalizing automated red-team engines to continuously stress-test models at scale.
* Partnering with product and engineering to design and deploy enterprise-ready AI guardrails, including policy enforcement layers, monitoring pipelines, and anomaly detection systems – and championing secure deployment practices for GenAI (including agent orchestration via MCP and A2A workflows).

About Alice:
Alice is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, Alice empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, Alice enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

Hybrid:
Yes

Alice is a leading platform for Trust & Safety teams worldwide, leveraging cutting?edge AI and world?class expertise to protect users from the widest spectrum of online harms. By continuously collecting and analyzing data, our solutions ensure customers stay two steps ahead of bad actors in an ever?changing threat landscape. We’re seeking an outstanding Backend Engineer with a Generative AI orientation to join our research team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities. This platform will handle GenAI models deployment, prompt management, data filtering, logging, and monitoring, centrally, so individuals can focus on their own business-specific logic. Key Responsibilities
* Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, including orchestrating multiple models/agents and MCP clients/servers.
* Develop, deploy and integrate AI solutions and agentic frameworks, creating both command?line tools and interactive notebooks that support our team’s research and workflow automation needs.
* Build and manage data pipelines and databases (SQL) for large?scale data handling, automating data collection and curation (e.g., adversarial prompts for model red-teaming) to support AI training and evaluation.
* Integrate research into production by implementing the latest generative AI advancements (including white?box LLM development), integrating different models and agents, and developing evaluation frameworks (e.g., agentic reasoning tests) as part of our automated workflows.
* Deploy GenAI models from repositories such as HuggingFace onto our AWS platform, connect them to data pipelines, and automate end?to?end processes for prompt generation, labeling, and response evaluation.

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.

Alice partners with the world’s leading AI labs to deliver best-in-class model assurance, red teaming, evaluations, and post-training data programs. We’re looking for a Technical Engagement Lead to guide the technical success of these strategic customers. In this role, you’ll be the key technical counterpart to frontier-model teams—helping them design, structure, and execute complex AI safety programs. You won’t be building prompts or running evals yourself; instead, you’ll lead the technical architecture and orchestration of our work, ensuring quality, coherence, and impact across multiple workstreams. You’ll work hand-in-hand with a Senior Account Manager, delivery teams, researchers, and product leaders to help GenAI customers push forward safely and responsibly. What You’ll Do
* Serve as the primary technical partner for leading LLM labs and GenAI-native organizations
* Translate customer goals into structured evaluation, red teaming and data programs
* Design engagement architectures across multiple parallel contracts and initiatives
* Ensure technical excellence and consistency in all deliverables
* Lead technical discussions with research, safety, and product teams
* Identify risks, dependencies, and evolving needs early, and drive resolution
* Stay ahead of emerging evaluation methodologies, safety approaches, and model risk trends
* Partner internally with Delivery, Research, Product, and Account Manager to ensure seamless execution
Why Alice Work with the world’s leading AI labs
* Help shape the safety and trustworthiness of next-generation AI models
* Join a mission driven, high performing team
* Enjoy opportunities for growth and professional development in a cutting-edge field.

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.




Hybrid:
Yes

Were looking for Senior Product Data Analyst to join the tea Dynamic Yield and play a critical role in shaping our product through data-driven insights. In this role, youll collaborate closely with product managers, engineers, designers, Customer Success, and other cross-functional stakeholders to understand how customers interact with our product and how we can continuously improve their experience.
You will take ownership of data for key product domains, establishing meaningful success metrics, analyzing feature adoption and performance, and delivering insights that directly influence the product roadmap.
Your work will empower smarter product decisions and help deliver tangible value to our clients. This role offers a unique opportunity to influence the evolution of a leading experience-optimization platform, enabling some of the worlds top brands to deliver personalized, data-informed digital experiences at scale.
Role
Collaborate with product managers to define, refine, and lead KPIs and success metrics aligned with product goals. Support planning, feature evaluation, and post-launch performance reviews to ensure data-driven, measurable product decisions
Analyze user behavior and product usage through quantitative methods to identify pain points, uncover trends, and measure feature adoption to inform product strategy and improvement
Develop and maintain dashboards and reports that provide product and business stakeholders with timely, actionable insights, ensuring key metrics are accessible and accurately reflect performance across product initiatives
Contribute to the development and upkeep of data models and support the maintenance of scalable, reliable ELT pipelines. Play a key role in shaping the underlying data infrastructure that drives analytics across product and business functions
Monitor KPIs and drive continuous efficiency improvements
R-265437

we are looking for a Data Analyst.
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 looking for a Network Data Analyst.
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 looking for a Senior Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities.
** This role offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like:
Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
Lead exploratory investigations into new architectures, training strategies, and data utilization methods
Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
Own projects end-to-end - from concept and experimentation to integration and scalable deployment

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.

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.