דרושים Team8 - משרות Team8

IVIX employs a variety of AI tools (deep neural networks, large language models, and predictive modeling) as well as advanced data analytics to rapidly pinpoint large-scale illicit business activity, so government authorities can combat financial crime in the digital age.

The Site Reliability Engineering (SRE) team is based primarily in Israel and the US, and the 24/7 Network Operations Center (NOC) squad will be based in a location to be determined.

Site Reliability Engineering (SRE)

1. Production Gatekeeper : Design and enforce the rollout strategy for new technologies and oversee their execution to ensure minimal disruption to existing systems.
2. Production On-Call : Act as the first line of response for critical incidents, assessing issues, triaging, and coordinating with the team to prevent further issues and swiftly restore services.
3. Monitor Production Performance and Degradation : Keep a close eye on system performance metrics and detect any degradation early to prevent outages and disruptions.
4. Production Maintenance : Conduct regular infrastructure upgrades to accommodate changes, developments, and advancements in the technological landscape.
5. Manage Release Flow : Oversee the release of updates and new functionalities, ensuring a seamless transition while handling any potential negative impacts on production.
6. Staging Management : Oversee the management of the staging environment, ensuring that it accurately represents the production environment for effective testing and simulation.

Network Operations Center (NOC)

1. Build Playbooks : Develop and maintain comprehensive playbooks for managing system issues and incidents, setting guidelines for troubleshooting, escalation, and resolution processes.
2. Build Monitoring Dashboards : Design, set up, and maintain monitoring dashboards to visualize and track system performance and incidents in real-time.
3. Alerts and Incident Management : Establish protocols for issuing alerts in the event of system issues or anomalies and lead the team in incident resolution.

What will you do?

• Utilize the LLM-based core component of our product.
• Define and implement machine learning algorithms and methods for data retrieval from other components to the core.
• Continuously enhance our product’s core analysis capabilities by advancing LLM prompt techniques.
• Build and utilize an evaluation infrastructure for the LLM components in the product.
• Collaborate with cross-functional teams to integrate LLM solutions seamlessly into the product.

Who are you?

• 2+ years of experience deploying LLM models
• Experience with LLM, NLP, and data science Python libraries
• Deep understanding of LLM architecture, optimization, and prompting techniques
• Experience with building RAG-based applications.
• Experience in scalable and performant serving of LLM-based systems
• Experience with Python and high-scale production projects
• 5+ years of development experience
• All-around team player, fast, self-learning individual

Preferred Skills:

• Experience with LLMOps, embedding models, data pipelines, and vector databases
• Experience with Code GenAI and RAG in code generation, code analysis
• Experience with encoder-only models for code retrievals

Why Join Orchid Security?

• Join Orchid Security at an exciting stage and make a real impact on shaping the future of security infrastructure! We’re building cutting-edge technology and looking for brilliant, curious, and creative minds to grow with us.
• Great culture & perks – Competitive benefits, stock options, and exciting growth opportunities.
• Work-life balance – Wellness programs, fun employee events, and a dog-friendly office!
• Purpose-driven workplace – We actively support local communities and encourage employees to be ambassadors of change.
• If you’re ready for a fast-paced, rewarding journey, Orchid Security is the place to be!

Responsibilities

• Design, implement, and optimize scalable data pipelines for efficient data processing and analysis.
• Build and maintain robust data acquisition systems to gather, process, and store data from various sources.
• Work closely with DevOps engineers, Data Science and Product teams to understand their requirements and provide data solutions that meet business objectives.
• Proactively monitor data pipelines and production environments to identify and resolve issues promptly.
• Implement best practices for data security, integrity, and performance.
• Mentor and guide junior team members, sharing expertise and fostering their professional development.

Requirements

• 6+ years of experience in data or backend engineering, preferably with Python proficiency for data tasks.
• Demonstrated experience in designing, developing, and delivering sophisticated data applications
• Ability to thrive under pressure, consistently delivering results, and making strategic prioritization decisions in challenging situations.
• Hands-on experience with data pipeline orchestration and data processing tools, particularly Apache Airflow and Spark.
• Deep experience with public cloud platforms, preferably GCP, and expertise in cloud-based data storage and processing.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
• Bachelor’s degree in Computer Science, Information Technology, or a related field or equivalent experience.

Advantage:

• Familiarity with data science tools and libraries.
• Experience with Docker containers and Kubernetes.

Support Cybersecurity & Data Infrastructure Portfolio Companies with Product Marketing

• Develop a deep understanding of portfolio companies’ customers, use cases, value propositions, market landscape, and competition to drive customer engagement.
• Craft compelling product positioning, messaging, and marketing strategies grounded in market research and data analysis.
• Create impactful content that effectively communicates value to customers, including blurbs, one-pagers, sales decks, design partner offerings, and landing pages.
• Manage portfolio companies’ go-to-market and launch plans, collaborating with external agencies (branding, PR, and digital marketing).
• Partner with cross-functional teams, including Strategy & Tech Research, Marketing, Business Development, and external agencies, to refine positioning, enhance competitive differentiation, shape content strategy, integrate customer feedback, and support go-to-market efforts.

Define, Develop & Execute Team8 Enterprise Marketing Strategy

• Work closely with Team8 Enterprise Partners to develop thought leadership content and stay ahead of industry trends in cybersecurity and data.
• Strategically build and enhance the Team8 brand in the data domain.

• 5+ years of experience in product marketing within cybersecurity companies, with a strong focus on technical audiences.
• Deep expertise in cybersecurity—a must. Strong understanding of the industry, including product branding, positioning, and content creation for CISO buyers.
• Domain knowledge in data infrastructure—a plus.
• Hands-on experience in email marketing, content creation, and in-product campaigns.
• Proven expertise in brand building and developing thought leadership programs that drive measurable impact.
• Exceptionally strong writing skills, with a passion for copy-editing across all marketing collateral types.
• Native or near-native English proficiency—mandatory (both written and verbal).
• Ability to thrive in a fast-paced, entrepreneurial environment with multiple stakeholders, demonstrating strong collaboration and communication skills.

Key Responsibilities:

• Play a key part in designing and implementing the product roadmap for our platform and be responsible for the entire product life cycle, from strategic planning to tactical activities and customer engagements.
• Partner with our engineering team to deliver world-leading scam prevention solutions.
• Utilize your analytical skills along with your deep understanding of the product and market to identify new trends and opportunities.
• Be an integral part of our executive team.

• 7+ years of relevant experience as a leading product manager in one of the following domains: Cybersecurity/Intelligence/ Fraud Prevention/Fintech or related domains – A MUST
• Proven track record of managing all aspects of a successful product throughout its life cycle with an advantage over enterprise-grade and B2B products.
• Strong technical background with an advantage in AI, privacy or security technologies
• Excellent communication and presentation skills in English
• A team player with excellent interpersonal relations

Preferred Qualities:

• Passion for technology and a strong desire to build innovative and impactful products.
• A data-driven approach to decision-making with the ability to analyze data and draw meaningful insights.
• Strong motivation to be part of a cutting-edge startup redefining the future of scam prevention.

Nice to have:

• AI-powered fraud prevention or security experience
• Early-stage experience.

What you will do:

● Own product features from ideation to launch, ensuring successful delivery and meeting customer needs.

● Proactively engage in customer conversations to gather insights, understand pain points, and needs, translating them into innovative product features.

● Collaborate with cross-functional teams, including engineering, design, and operations, to define feature requirements and prioritize development efforts.

● Participate in the creation and execution of the product roadmap, aligning it with business goals and customer demands.

● Drive data-driven decision-making processes, leveraging key metrics and analytics to measure product performance and maximize business impact.

● 5+ years of experience in product management, with a proven track record of successfully delivering high-quality products.

● Experience in the Fintech industry and/or financial background is strongly preferred.

● Excellent communication skills, with the ability to articulate ideas clearly and concisely.

● Entrepreneurial mindset with ability to work independently, prioritize tasks, and handle multiple projects simultaneously in a fast-paced startup environment.

● Technical background preferred, with the ability to understand complex technical concepts and effectively collaborate with engineering teams.

● Expert in designing products that are easy to use and provide a delightful user experience.

● Strong analytical skills with a data-driven approach to decision making.