Lead a major transformation initiative focused on automating Level 1 support operations through conversational AI, intelligent workflows, and enterprise-scale integrations, driving the next generation of AI-powered infrastructure automation across the enterprise.
Responsibilities
Define and execute the engineering vision and technical roadmap for enterprise infrastructure automation initiatives.
Lead the adoption of Applied AI and Generative AI technologies to improve operational efficiency and user experience.
Drive API-first architecture, integration standards, and governance across internal platforms and enterprise applications.
Lead development of conversational AI solutions capable of resolving a significant percentage of internal infrastructure support requests.
Build and scale automation capabilities supporting infrastructure domains such as access management, applications, network services, and platform operations.
Requirements
Advanced degree in Computer Science, Engineering, or related discipline
Leads secondary analysis algorithm development for Sequencing by Expansion (SBX) data on the AXELIOS platform, bridging rapid R&D prototyping with production-grade bioinformatics tools across oncology, genetic disease, and infectious disease.
Compensation
The expected salary range for this position based on the primary location of California is $47.00-$52.00 per hour.
Responsibilities
Algorithm Development
Benchmarking
Software development
Presenting results to stakeholders
Requirements
PhD (enrolled student)
Nice to have: Record of publications or preprints describing novel algorithms or methods for variant detection and genotyping
Nice to have: Research experience focused on difficult-to-map regions of the genome
Nice to have: Publications or documented contributions involving Repeat-variant detection or genotyping
Nice to have: Haplotype phasing and reconstruction
Perform complex research, design, and software development assignments within a software functional area or product line, and provide direct input to project plans, schedules, and methodology in the development of cross-functional software products.
Compensation
$126,964.93 to $141,600.00/year + standard company benefits
Responsibilities
Perform software design across multiple systems
Mentor more-junior members of the team
Translate user/customer requests into solutions
Write and review detailed specifications for complex system components
Complete complex bug fixes
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Physics, Mathematics, or a related field
Shape how we understand our customers and the products they rely on every day by building models, experiments, and AI-enabled tooling that turn product data into actionable business decisions.
Compensation
Base Pay Range:
198,240.00 - 272,580.00 USD Annual
This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation.
Responsibilities
Lead, coach, and scale a distributed team of analytics engineers, data scientists, and researchers
Drive a proactive insight agenda for product and engineering leadership
Measure the business impact of feature rollouts, customer programs, and platform AI features using robust experimentation and causal inference techniques
Deliver clear, executive-ready recommendations backed by empirical data to product, engineering, and customer success leadership
Develop and deploy production machine learning models for customer health scoring, cost forecasting, predicted time-to-value, and entity intelligence
Requirements
Bachelor’s degree in computer science, statistics, economics, or a related quantitative field
Nice to have: Databricks (Spark, Delta Lake, Unity Catalog)
Develop and execute data strategies, perform complex data analysis, design and optimize scalable data pipelines, and build robust infrastructure for big data integration within the Hospital Patient Monitoring Artificial Intelligence Journey.
Compensation
The pay range for this position in Nashville, TN is $115,000 to $183,000.
Responsibilities
Develop and execute data strategies that align with evolving business needs
Perform complex data analysis and queries using advanced techniques to deliver actionable insights
Ensure data integrity and compliance by implementing rigorous validation processes
Design and optimize scalable data pipelines to support Post Market Analytics
Build robust infrastructure for big data integration across diverse sources
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
Master’s degree in Computer Science, Engineering, or a related field
Responsible for independently designing, building, and operating complex divisional data software and pipelines. Converts ambiguous business needs into scalable technical solutions, leads delivery of significant data product components, and raises engineering quality through sound architecture, testing, observability, and governance. Mentors less experienced engineers and coordinates effectively across technology and business teams.
Responsibilities
Leads technical discovery and translates complex divisional requirements into data architecture, interfaces, and delivery plans
Designs, builds, and operates scalable, secure, and resilient data ingestion, ELT, and integration services
Develops reusable frameworks, libraries, and patterns that improve engineering consistency and delivery speed
Designs dimensional and other fit-for-purpose data models; optimizes storage, query performance, and compute utilization
Establishes appropriate automated testing, data quality controls, monitoring, alerting, and recovery practices
Support VP traders across Mexico City, New York, and London gaining hands-on experience in fixed income markets, repo transactions, and portfolio management.
Locations (3)
Mexico City, Mexico City, Mexico
New York, United States
London, England, United Kingdom
Responsibilities
Monitor and reconcile daily bookings; reconcile estimated vs. actual P&L
Create risk reports and estimate daily desk P&L
Build, maintain, and distribute bond inventory reports
Design, build and ship safeguards in the agent harness for prompt injection, single and multi-turn jailbreaks, toxicity and sensitive topics, and sensitive data exposure.
Compensation
For positions in this location, we offer a base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Design, build and ship safeguards in the agent harness for prompt injection, single and multi-turn jailbreaks, toxicity and sensitive topics, and sensitive data exposure
Build evals that measure safeguard efficacy on both false and true positives, using datasets from customer reports, adversarial testing and production traffic
Work closely with our Security team: turn their adversarial findings into eval cases and fixes, and build mitigations together that hold when detection misses
Select, integrate and fine-tune detection models within a stack shared by our commercial and government environments
Balance quality, latency and cost for controls that run in the request path
A key privacy engineer writing code and shaping the architecture and protections across products, focusing on sensitive data detection, masking, and assessing privacy risks of ML models.
Compensation
For positions in this location, we offer a base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Assess, benchmark and select ML models and techniques that meet privacy requirements
Own the implementation of models from prototype through production
Build and deploy sensitive data detection, masking, redaction and tokenization
Build privacy evaluations for ML models (memorization, training-data extraction, membership inference)
Write and maintain code enforcing customer requirements for data use, access, retention and deletion
Requirements
Nice to have: Differential Privacy
Nice to have: Privacy-enhancing technologies
Nice to have: Privacy engineering for agentic systems
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