Senior Manager, Data Science
As the Senior Manager of Data Science at Abridge, the responsibilities include building and managing a world-class team of data scientists, providing guidance, mentorship, and setting high standards. The role requires fostering a collaborative team culture focused on agency and clarity of thought, driving product strategy through data-driven insights across the product portfolio, and analyzing user behavior and product performance metrics. It involves partnering with product, strategy, and research teams to develop ROI frameworks for customers by ingesting real-time data to demonstrate impact. The role also includes collaborating with the research team on models and model evaluation, shaping evaluation frameworks, monitoring production performance, and defining clinical quality metrics. The Senior Manager must communicate data strategy, complex analyses, and insights to cross-functional partners and the executive team, structure the company's data strategy alongside Data Engineering by identifying data gaps and optimizing data use, make critical technical infrastructure decisions including tooling choices and technical standards, and build the data science organization to incorporate best practices and AI to accelerate data ingestion and insight generation.
Abuse Investigator (AI Self-Improvement Risk)
As an Abuse Investigator focused on AI Self-Autonomy and Agentic Risk on the Intelligence and Investigations team, you will be responsible for identifying and investigating cases where models exhibit autonomous or agentic behavior, including chaining capabilities, acting with increasing independence, or demonstrating patterns that may introduce safety risk. This includes detecting behaviors that are not explicitly intended, understood, or covered by existing safeguards. You will review leads, investigate model behavior, and identify cases where systems demonstrate agentic or autonomous patterns that introduce safety risks. You will detect and analyze behaviors such as multi-step planning, capability chaining, tool use, persistence, and workaround behavior. You will develop signals and tracking strategies to help proactively identify emerging agentic risk patterns across the platform. You will identify gaps in existing safeguards, evaluations, or monitoring systems and propose improvements. You will communicate investigation findings clearly to technical, policy, and leadership stakeholders. This role involves working in high-pressure environments and interacting with others effectively.
Senior Data Intelligence Engineer
The Senior Data Intelligence Engineer is responsible for building and maintaining high-fidelity dbt and SQL models that serve as the foundational data for complex, usage-based revenue models. They develop tools and permissions frameworks enabling 'Analyst Agents' to query data sources such as Athena, correlate Salesforce churn signals, and identify API latency issues. The engineer acts as the technical liaison with the Engineering/Infrastructure team to ensure data contracts are reliable and ready for autonomous agents. They partner with the Head of Data to ingest and transform thousands of hours of unstructured internal call audio into queryable insights for go-to-market teams using Deepgram’s own models. The role includes maintaining a culture focused on automating manual and repetitive SQL tasks through code and agent systems rather than legacy dashboards.
Lead Data Scientist
As the Lead Data Scientist, you will set the data strategy by defining what is measured, how it is measured, and establishing the metrics architecture that connects product usage, retention, monetization, and growth across the company. You will transform the data team into a product team by building internal data products and self-serve AI interfaces, automated reports, and tools for non-technical stakeholders. You will build the semantic layer, documentation, and context infrastructure to make the data warehouse AI-readable and accurate. Additionally, you will build AI-powered systems and automated pipelines to replace manual work within the data lifecycle, including dbt model generation, data quality monitoring, experiment analysis, and insight delivery. You will own product analytics and experimentation by partnering with Product, Engineering, and Design to design experiments, interpret results, and provide insights that guide product decisions. Your responsibilities also include driving growth and business intelligence by maintaining and evolving dashboards and reporting for Sales, Marketing, Customer Success, and leadership, ensuring metrics are visible, trusted, and actionable. Finally, you will scale the data team’s output through systems and AI-powered tooling to support company growth without increasing headcount linearly.
Machine Learning Developer (Freelance)
Contributors may design original computational STEM problems simulating real scientific workflows, create computationally intensive problems requiring Python programming to solve, develop problems requiring non-trivial reasoning and creative problem-solving, verify solutions using Python with standard libraries such as Numpy, Pandas, Scipy, and scikit-learn, and document problem statements clearly with verified correct answers.
Machine Learning Developer (Freelance)
Contributors design original computational STEM problems that simulate real scientific workflows, create problems that require Python programming to solve, and ensure these problems are computationally intensive and cannot be solved manually within reasonable timeframes. They develop problems requiring non-trivial reasoning chains and creative problem-solving approaches, verify solutions using Python with standard libraries such as Numpy, Pandas, Scipy, and scikit-learn, and document problem statements clearly while providing verified correct answers.
Machine Learning Developer (Freelance)
Contributors may design original computational STEM problems that simulate real scientific workflows, create problems that require Python programming to solve, ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes, develop problems requiring non-trivial reasoning chains and creative problem-solving approaches, verify solutions using Python with standard libraries such as Numpy, Pandas, Scipy, and scikit-learn, and document problem statements clearly while providing verified correct answers.
Machine Learning Developer (Freelance)
Contributors may design original computational STEM problems that simulate real scientific workflows, create problems requiring Python programming to solve, ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes, develop problems requiring non-trivial reasoning chains and creative problem-solving approaches, verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn), and document problem statements clearly while providing verified correct answers.
Senior AI Applications Engineer
The Senior AI Application Engineer will configure and integrate AI/GenAI workflows using platform APIs and customer data, ensuring smooth and secure deployment. They will translate customer requirements into technical solutions, validate workflow correctness, and continuously refine prompts for optimal performance. The role involves developing and automating tasks using Python and SQL, building prototypes with open-source Agentic Frameworks, designing and analyzing A/A experiments to improve workflow quality and reliability, as well as monitoring AI workflows with business metrics and observability dashboards to maintain high availability. They will provide proactive solutions and regular updates to customers, maintain high customer satisfaction through effective troubleshooting and communication, diagnose and resolve platform issues related to APIs, data integration, and workflow configurations, collaborate with engineering when needed, use APIs and integration protocols like JSON, REST, and SOAP to configure workflows and integrate with CRM/ATS tools, and write custom scripts to query databases and create reports for in-depth analysis and demonstrating ROI to customers.
Senior Data Engineer
The Senior Data Engineer at HackerOne is responsible for leading the end-to-end design and delivery of scalable, secure, and intelligent data products and solutions to support the company's transformation into an AI-first organization. This role involves partnering across business and engineering teams to identify opportunities for automation, integration, and system modernization, driving the architecture and execution of platform-level capabilities by leveraging AI and modern tooling to reduce manual effort, improve decision-making, and increase system resilience. The engineer will provide technical leadership to internal engineers and external development partners to ensure design quality, operational excellence, and long-term maintainability, shape and contribute to incident and on-call response strategies, playbooks, and processes to build systems that fail gracefully and recover quickly, mentor other engineers and advocate for technical excellence, and promote a culture of innovation and continuous improvement. Additionally, the role includes championing effective change management to ensure systems are successfully launched, adopted, understood, and evolved.
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