Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• Strong AI Applied Researcher with experience building complex AI applications.

• Experience with NLP, ML algorithms

• Experience contributing to research projects from PoC stage to production

• Experience with LLMs, Agents and RAG - Advantage

• Experience using LLMs / Deep Learning models - Advantage

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Research and optimization agentic flows to solve complex problems

• Participate in PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Generous equity package

• Unlimited PTO (take time when you need it)

• Top-of-market salary

• Great healthcare

Experience Requirements:

• An incredibly strong AI Applied Researcher with experience building complex AI applications.

• Experience with LLMs, Agents, RAG, NLP, ML algorithms

• Strong experience of leading research projects from PoC stage to production.

Other Requirements:

• Ability to roll up your sleeves and get things done.

• A great communicator and team player.

Responsibilities:

• Lead the research and optimization of agentic flows to solve complex problems

• Perform PoCs using bleeding edge technologies to empower our product

• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Health Insurance (Allianz)

• Stay Healthy subsidy (for gym and sports)

• Unlimited PTO

• Paid Paternity and Maternity Leave

Experience Requirements:

• 6+ years of experience in security research, threat intelligence, or vulnerability analysis.

• Experience conducting in-depth security research on emerging threats, vulnerabilities, and attack techniques.

• Strong expertise in reverse engineering, malware analysis, and exploit development.

• Deep understanding of operating system internals, network security, and cryptography.

• Familiarity with security frameworks and methodologies such as MITRE ATT&CK.

Other Requirements:

• Strong analytical skills with the ability to communicate complex security concepts effectively.

Responsibilities:

• Work closely with security teams to implement defensive capabilities and response strategies for an AI product.

• Publish research findings through technical reports, whitepapers, or at security conferences.

• Collaborate with the broader security community to share insights and best practices.

• Stay current with the latest cybersecurity trends, adversarial tactics, and defense mechanisms.

Benefits:

• Health

• Vision

• Dental

• 401(k)

• STD & LTD Basic Life AD&D

Education Requirements:

• Bachelor's degree in a related field (e.g., Computer Science, Statistics, Business, Economics). A master's degree is a plus.

Experience Requirements:

• 6+ years of experience as a product analyst or data analyst, with at least 3+ years in a leadership or team lead role.

Other Requirements:

• Strong understanding of chargebacks, payment systems, or related domains in fintech, e-commerce, or payments industries.

• Proven experience leading teams and mentoring junior analysts to success.

• Advanced proficiency in analytics tools (e.g., SQL, Python, R) and visualization platforms (e.g., Tableau, Power BI, Looker).

• Strong understanding of data management practices, with experience in building and maintaining KPIs and dashboards.

• Excellent communication skills, with the ability to present complex data insights to both technical and non-technical stakeholders.

• Ability to work effectively in a fast-paced, cross-functional environment, balancing leadership and hands-on analytical

• Familiarity with agile methodologies and product development processes.

• Experience with chargeback data management tools or fraud prevention systems- Advantage

Responsibilities:

• Lead, motivate, and develop a team of product analysts with a focus on chargebacks and related domains.

• Provide guidance on best practices in analytics, reporting, and data interpretation to ensure high-quality deliverables.

• Oversee team performance, providing feedback and fostering a culture of continuous improvement.

• Build the team’s roadmap and KPIs, prioritize tasks and have a vision for the team

• Conduct regular one-on-one meetings with analysts to support career development and resolve blockers.