This role provides the most senior level IT technical lead services, directing technology strategy across platforms and teams, while delivering user-centric full-stack solutions and managing scalable backend integration.
Responsibilities
Provides senior-level technical leadership for complex software, middleware, and hardware initiatives across multiple platforms.
Delivers high-impact architectural design, development, and maintenance solutions.
Ensures viability and effectiveness of IT deliverables by evaluating development options, approving architectural decisions, conducting functionality and security testing, and overseeing production support.
Resolves complex technical problems, performs root cause analysis, and proactively mitigates risks introduced by less experienced staff.
Anticipates and prevents potential system failures.
Requirements
Bachelor’s degree (B.E./B.Tech) in relevant fields such as Computer Science, IT, or Software Engineering
Senior Data Engineer in the Data Architecture team, responsible for designing, building and running data pipelines and platform components on Microsoft Fabric, leading workstreams, coaching engineers, and ensuring secure, reliable data for analytics and AI.
Responsibilities
Design, build and run data pipelines using Fabric Data Factory and Fabric Lakehouse
Own ingestion of data from core systems such as Workday, Dynamics 365, Business World and SharePoint
Design data structures in Fabric Warehouse and Lakehouse and deliver curated datasets for Power BI and other reporting
Build security, data classification and access controls into pipelines and review others' work
Redesign legacy ETL and ELT processes for Fabric and plan cut-over
A hybrid role spanning product management, product design, and hands-on implementation to identify and solve problems using agentic GenAI solutions within healthcare contexts.
Compensation
CHI - $110,000 - $140,000
Responsibilities
Partner with customer and business leaders to uncover high-impact use cases where GenAI can deliver measurable value.
Through customer research, problem discovery and systems thinking, translate vague operational challenges into clear, functional solutions
Build rapid prototypes / proof-of-concepts to validate ideas and drive alignment
Design and implement agent-based solutions — from workflow automation to patient communication, insight generation, or clinical operations
Work directly with LLMs and agent frameworks (prompt design, chaining, context management, evaluation, and guardrails)
Design and build scalable backend services and APIs that power a document analysis platform, while contributing to frontend features and ensuring high performance and reliability.
Lead quantitative research across product, design, marketing, and strategy functions at Turo, shaping product roadmap decisions and mentoring the research team.
Compensation
For this role, the target base salary range in San Francisco is $212,000-$265,000 annually.
Responsibilities
Lead quantitative research across product, design, marketing, and strategy functions
Shape product roadmap decisions and strategically de-risk investments
Translate complex findings into narratives for product, design, business, and leadership audiences
Mentor the research team and help define the future of quantitative practice at Turo
Design and execute large-scale studies: surveys, conjoint analyses, experiments, A/B tests, and behavioral data analyses
Requirements
Bachelor’s degree required in a relevant field
Nice to have: Masters or PhD in Human-Computer Interaction, Psychology, Data Science, Statistics, Behavioral Economics
Nice to have: experience in transportation, travel, mobility, or marketplace/growth-focused product teams
Nice to have: familiarity with causal inference methods (diff-in-diff, regression discontinuity, propensity score matching)
Nice to have: history of mentoring other researchers
Full Stack Software Engineer to own the software that runs our lab and our business.
Compensation
Compensation: $150,000 – $160,000 + equity. The compensation for this role is $150,000 – $160,000 along with equity options in the company and benefits.
Responsibilities
Maintain and extend our customer-facing app, including sample submission, result reporting, and customer accounts
Build integrations between lab instruments, automation systems, and our software
Build internal lab management tools that make our scientists faster and reduce manual work
Build and maintain business systems, including invoicing, customer management, and reporting
Design and maintain the APIs and webhooks that customers use to integrate with us
Requirements
BS or higher in computer science, engineering, or a related field, or equivalent experience
We are looking for a Mechanical Engineer to design, build, and maintain hardware our lab runs on, turning manual bench processes into reliable automated systems.
Compensation
$120,000-150,000 along with equity options in the company and benefits
Responsibilities
Design mechanical systems, fixtures, and tooling that support lab operations
Build, test, and iterate on prototypes
Install, maintain, and troubleshoot lab instrumentation and equipment
Produce and maintain drawings, bills of materials, and design documentation
Work with vendors and machine shops to source parts and manage fabrication
The base compensation range for the role in any of those locations is $183,100 USD - $340,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $158,900 USD - $295,100 USD.
Responsibilities
Design and build scalable backend services and APIs
Write maintainable, high-performance server‑side code and data processing pipelines
Define clear, efficient API contracts and contribute to service architecture decisions
Build and maintain integrations with third‑party services and internal ML systems
Contribute to frontend features and components as needed
Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field
Full Stack Software EngineerNewAequita · San Carlos, US