Reality Defender (YC W22)

Machine Learning Engineer

• Work with ML engineers and researchers to ensure delivered datasets are usable and correctly scoped
• Build and run batch data generation and preprocessing jobs for image, video, and audio data
• Execute preprocessing pipelines using shared batch orchestration tools
• Design and run ETL jobs to ingest, transform, and organize data in our warehouse.
• Validate input and output datasets (schema, metadata, basic quality checks)
• Collect, organize, and deliver processed datasets using established conventions
• Support creation of development and prototype datasets ahead of large-scale backfills
• Maintain version control of data processing repositories following industry best practices
• Debug data pipeline failures, ETL issues, and data quality problems

MLOps Engineer

Research Scientist

• Tune and optimize ML/DL models for production-scale audio deepfake detection.
• Investigate failure cases in the client environment, build custom evaluation frameworks, and implement mitigation strategies for model robustness.
• Drive model iteration for performance under a variety of real-world environments, e.g. compression artifacts, noise, telephony, and streaming pipelines.
• Present technical findings and model performance insights to internal stakeholders.
• Interface with Product and Engineering teams to build a deep understanding of the production environment and incorporate relevant evaluations for performance assessment.

Applied Scientist II – Audio

AI Engineer

• Design, build, and optimize ML/DL models for production-scale audio deepfake detection.
• Interface with clients to build a deep understanding of the production environment and scope out model performance criteria.
• Investigate failure cases in the client environment, build custom evaluation frameworks, and implement mitigation strategies that span across Engineering and AI.
• Drive model tuning and iteration for performance under a variety of real-world environments, e.g. compression artifacts, noise, telephony, and streaming pipelines.
• Design and execute structured experimentation roadmaps, centered around client requirements, anticipated future attack vectors, and proactive system resilience.
• Collaborate with cross-functional partners (Applied Scientists, Deployment Engineers, Product teams) to deploy robust and scalable models.
• Present technical findings and model performance insights to clients as well as internal stakeholders.

Senior Applied AI Engineer, Audio

Business Development Rep

• Prospect into strategic business accounts via cold call, email and social strategies to educate them on our products
• Collaborate with Sales team to develop and implement prospecting strategies that will create a strong sales pipeline
• Engage inbound leads and apply qualification assessments through initial communications and ongoing metrics
• Support Product Lead sales motion to promote Free Tier usage to self-service paying customers and enterprise sales motions
• Experiment with different audiences, messaging, and channels to generate new business opportunities

Business Development Representative – BDR

People Operations

• Support recruiting efforts by scheduling interviews, coordinating candidate communications, and maintaining applicant tracking systems
• Help ensure a positive candidate experience by providing timely communication and support throughout the hiring process
• Assist with onboarding activities, including preparing onboarding materials and coordinating new hire logistics
• Maintain and organize HR documentation, employee records, and internal systems
• Support People Operations initiatives such as employee engagement programs, training coordination, and internal communications
• Assist with reporting and tracking recruiting metrics and hiring progress

People & Talent Intern

• Investigate and propose new methods for detecting generative multi-modal content, spanning audio and vision modalities.
• Perform research on multi-modal deepfake detection and reasoning tasks.
• Collaborate with researchers in the team.
• Write up results of research for internal reports and submission to academic journals/workshops.
• Independently implement and evaluate ideas on modern deep learning stack - Python, PyTorch, and GPU-enabled cloud compute, like AWS/GCP.

Applied Scientist Intern

QA Engineer

• Define and implement the overall QA strategy, processes, and standards across the organization
• Lead test planning, execution, and release validation for platform features, APIs, and AI/ML-powered detection systems
• Design, develop, and maintain automated test frameworks for functional, integration, regression, and performance testing
• Partner with engineering and product teams to ensure quality is integrated throughout the software development lifecycle
• Identify, track, and drive resolution of defects, performance issues, and reliability risks
• Establish and monitor quality metrics, test coverage, and release readiness criteria
• Mentor and support QA engineers while helping scale the QA function as the company grows
• Contribute to continuous improvement of CI/CD pipelines, automation, and release processes

QA Lead

Customer Success Manager

• Define and execute the overall Customer Success strategy aligned with company growth and retention goals.
• Build, lead, and mentor a team of Customer Success Managers and onboarding specialists.
• Develop scalable processes for onboarding, adoption, health monitoring, renewals, and expansion.
• Drive expansion in existing customers through upselling existing capabilities, cross-selling new capabilities or driving adoption and utilization by our customers’ customers.
• Establish and track KPIs, including retention, net revenue retention (NRR), adoption metrics, and customer satisfaction (CSAT/NPS).
• Partner closely with Sales, Solutions Engineering, Product, and Support to ensure seamless customer lifecycle management.
• Ensure compliance, security, and operational expectations are met for regulated customers.
• Develop and implement low-touch/tech-touch programs to efficiently serve lower-tier and PLG segments while maintaining quality engagement
• Create and execute customer advocacy programs, including reference programs, case studies, and advisory boards to amplify customer voice
• Forecast renewals and expansion pipeline with accuracy, providing regular reporting to executive leadership on retention and growth metrics
• Translate customer feedback and product usage data into actionable insights for Product and Engineering teams to influence roadmap priorities
• Design and deliver Executive Business Reviews (EBRs) and Quarterly Business Reviews (QBRs) that demonstrate ROI and strategic value alignment

Director of Customer Success

Marketing

• Develop and execute integrated marketing programs that drive lead generation, pipeline growth, customer retention, and channel enablement
• Create and manage multi-channel campaigns, including digital, email, events, and partner marketing.
• Work closely with sales and product teams to align on go-to-market strategies and campaign objectives.
• Track and analyze program performance, reporting on key metrics and ROI to stakeholders.
• Coordinate with external vendors and agencies for design, content creation, and campaign execution.
• Collaborate with product marketing to ensure consistency in messaging and branding across all initiatives.
• Manage budgets for marketing programs, ensuring efficient allocation and spending.