Raya

Analyst

• Generate actionable insights driving better experiences for our members
• Reporting into the Analytics team and closely partnering with Product and business teams
• Focus on our core algorithm and other parts of the core member experience of Raya

Senior Analyst

Community Manager

• Serve as the primary escalation point for all Trust & Safety incidents across Raya’s community.
• Draft all T&S communications, ensuring all responses are timely, appropriate, and brand-consistent.
• Oversee the full lifecycle of reports, ensuring they are handled discreetly, thoughtfully, and in alignment with brand policies and values.
• Own and update moderation-related macros and templates, keeping them relevant, on-brand, and current.
• Develop and maintain safety policies, playbooks, and documentation across Zendesk, Notion, and internal tools.
• Define and track key Trust & Safety metrics and reporting in partnership with the Head of Community Support.
• Deliver training and guidance to Community Support and internal teams on best practices. Conduct QA and drive continuous improvement.
• Monitor incoming reports and profile moderation, to uphold a safe and authentic community experience.
• Research emerging risks, trends, and best practices within the Raya community and the broader dating industry.
• Stay current on global privacy and safety regulations and personally handle all issues related to the above as they arise.

Lead Community Manager, Trust & Safety

Backend Engineer

• Own and Deliver: Take full ownership of key features within Raya’s Places Team, shaping how members discover and experience the world around them.
• Build with AI: Work hands-on with LLMs to develop intelligent systems — from chatbots to personalized discovery — and bring them into production at scale.
• Drive from Start to Finish: Architect, implement, launch, and iterate. You’ll be accountable for performance, reliability, continuous improvement, and overcoming every obstacle that gets between you and shipping
• Collaborate Across Disciplines: Work closely with design, product, and data to turn bold ideas into seamless, user-facing experiences.
• Operate Like a Founder: You’ll have autonomy, make quick decisions, and move fast to deliver measurable impact.

Data Scientist

• Run causal and impact analysis for experiments and product changes, helping the team understand not just what happened, but why
• Design and maintain measurement frameworks for key systems like recommendations, ranking, and personalization
• Partner with ML Engineers to evaluate model performance and offline metrics, and to develop scalable evaluation pipelines
• Work closely with Analytics to ensure high-quality experimentation and metric consistency, supporting clear, reliable insights for product and model improvements
• Dig into user behavior and engagement patterns to generate insights and hypotheses that shape product direction
• Contribute to analytical data workflows – for example, defining custom metrics or refining evaluation tables to improve reproducibility and self-serve capability
• Communicate clearly and proactively with product and engineering partners, bringing clarity to complex systems and metric

Senior Data Scientist

Data Engineer

• Design and build our data architecture, and play a central role in our data strategy.
• Collaborate with the Machine Learning team to architect and deploy the next generation of our ML platform.
• Evaluate, select, and integrate best-in-class tools and frameworks, guiding the company on "build vs. buy" decisions to optimize data processes and infrastructure.
• Work closely with other engineering teams to ensure our data platform integrates with our wider architecture in a secure & performant fashion.
• Partner with the Analytics/Data Science team to ensure our data platform can support all analytical data needs across the organization.

Senior Data Engineer

• Build and maintain dashboards and metrics, helping the team self-serve and monitor key performance indicators
• Dig into user behavior, search logs, and engagement data to uncover patterns and generate new hypotheses
• Help improve data organization and infrastructure, reducing ad hoc work and improving scalability
• Design and analyze A/B tests and other experiments to guide product decisions and measure impact
• Leverage off-the-shelf models and experimentation frameworks to optimize relevance and personalization features
• Apply and evaluate large language models (LLMs) for tasks such as semantic search, personalization, and user understanding, while developing expertise in LLM evaluation methodologies and best practices
• Collaborate with ML engineers and backend/infra teams to make incremental improvements to existing recommendations systems and embedding pipelines
• Contribute to a data-driven culture by clearly communicating findings and empowering stakeholders with reliable, accessible insights

Senior Analyst

Lead Community Manager, Trust & Safety

Backend Engineer

Senior Data Scientist

Senior Data Engineer

Senior Data Scientist I