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We're looking for a Data Warehouse Tech Lead to drive the technical vision and execution of our data infrastructure that powers decision-making across.
You'll lead both the technology and the business coordination for our data warehouse - architecting scalable solutions while working closely with stakeholders and data providers to ensure our platform serves the entire organization's needs. This role combines deep technical leadership with strategic business partnership as we build our next-generation data stack.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Lead technical architecture - design and develop scalable data warehouse solutions that support multiple products and serve the entire organization's analytics needs
Manage the technical roadmap - set strategy and guide execution for the Data Warehouse team, ensuring our platform evolves with business requirements
Drive business process coordination - translate business needs into technical requirements while establishing clear data contracts with R&D, Analytics, and external data providers
Establish and implement best practices - set technical standards for data warehouse architecture, performance tuning, and development methodologies that guide the entire team's approach to building scalable data solutions
Create and maintain sustainable data pipelines - build resilient systems capable of handling unstructured data and managing an evolving schema registry across diverse data sources
Implement advanced data modeling - create robust data structures using methodologies like dimensional modeling, and optimize ETL/ELT processes for our semantic layer
Establish data quality standards - build processes for schema evaluation, anomaly detection, and monitoring data completeness and freshness across all sources
Lead cross-team collaboration - work directly with Data Engineers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers to align technical solutions with business goals

This is a hands-on, high-impact role with significant responsibility over day-to-day accounting operations, financial reporting, and driving process improvements. The ideal candidate will take full ownership of key processes, contribute to exciting ongoing projects, and help ensure compliance with accounting standards-all while helping us scale efficiently.

This position works closely with cross-functional teams including FP&A, Legal, and Operations to ensure accurate reporting and effective collaboration across departments.



Responsibilities:

Lead and support the monthly, quarterly, and annual close processes in compliance with U.S. GAAP
Coordinate with external auditors for quarterly reviews and annual audits
Oversee daily accounting activities including general ledger maintenance, journal entries, and account reconciliations
Support implementation of accounting systems, automation tools, and internal controls
Ensure accurate revenue recognition in accordance with ASC 606 and support ongoing compliance
Take ownership of accounting processes and continuously seek opportunities to improve efficiency and accuracy
Leverage AI and automation tools to streamline workflows, enhance reporting, and improve decision-making
Collaborate with internal stakeholders to ensure alignment across reporting and compliance
Assist with special projects, financial analysis, and other ad hoc initiatives

We are looking for an outstanding Software Engineer to join our Video/Multimedia Architecture & Algorithms (A&A) team - the people who build tomorrows NVENC and NVDEC, the dedicated video encode and decode engines that power streaming, cloud gaming, video conferencing and broadcast on every modern our GPU. You will be the software-craftsmanship anchor of a small Software team inside A&A. You will craft and implement the core components developed using C++ alongside Python. These components support our research and product paths. You will raise the engineering bar across the group. You will also guide research code through to the shipping NVENC/NVDEC SDK.


This is a hybrid role - 4 days per week from the office.


What You'll Be Doing:
Work closely with our Architects and Algorithms Engineers to understand the needs and build, implement and/or optimize the most elegant solutions - in modern C++ and Python
Set the bar for what good software means inside A&A: reviewing code, mentoring engineers from non-software backgrounds, and bringing the rest of the group up with you
Implement detailed, focused tweaks into the SDK and the wider video stack. These changes let researchers test new ideas without forking the world. Walk research code through to a shipping NVENC/NVDEC release when needed.
Profile and optimize critical paths in the codec stack; reach for CUDA when CPU-side optimization is not enough
Build and sharpen the small libraries, frameworks and tools the team uses every day, and make sure they are a joy to work with

The Executive Assistant plays a central role in managing the CEOs day-to-day operating flow, ensuring priorities, logistics, and execution are handled with precision and reliability.

Key Responsibilities

Own and manage a highly complex and dynamic calendar, prioritizing time based on business and leadership needs
Proactively plan, protect, and optimize the CEOs time, including buffers, focus blocks, and rapid adjustments
Coordinate internal and external meetings end-to-end, including preparation, logistics, and follow-up
Plan and manage complex international and domestic travel, including itineraries, visas, and last-minute changes
Support logistics for board meetings, leadership offsites, and executive-level events
Act as a trusted point of coordination between the CEO and senior internal and external stakeholders
Handle sensitive professional and personal matters with absolute discretion and sound judgment
Operate with full ownership to reduce noise, friction, and distractions from the CEOs day-to-day work

We're looking for a talented and driven Pre-Sales Solutions Engineer to join our growing team. You'll be a key player in our sales motion - owning the technical relationship with prospects and working closely with our Account Executives and Account Managers to drive complex, high-value deals primarily across mid-market and enterprise segments.

What You'll Do

Lead discovery and scoping sessions alongside AEs to deeply understand prospect needs and pain points
Own end-to-end POC processes, typically spanning 1-2 months, including design sessions and technical deep-dives
Deliver compelling product demos and respond to technical inquiries from a range of stakeholders, including C-level and VP-level
Lead RFP/RFI responses and serve as the primary technical point of contact throughout the sales cycle
Collaborate cross-functionally with Support, Product, and R&D to resolve complex prospect requirements
Travel to customer sites as needed (~30%)

We're looking for a Business Operations Senior Lead, to drive profitability and growth while leading strategic initiatives that move us forward.
You'll work as a "mini-COO" for our product lines, tackling the biggest business challenges while collaborating on cross-functional projects that take ideas from 0 to 1. This role sits at the intersection of strategy, operations, and execution - where data meets decision-making and where your leadership directly impacts our mission to transform insurance.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Drive profitability and growth strategies for our business as a strategic business partner
Lead cross-functional initiatives that span Product, Insurance, Finance, and Customer Operations teams
Take strategic projects from concept to execution, working across multiple stakeholder groups
Analyze complex business challenges and translate insights into actionable recommendations
Influence decision-making at the leadership level while building alignment across diverse teams
Navigate rapidly changing priorities and guide teams through strategic pivots
Partner with Product, Actuarial, Finance, and Revenue teams to optimize business performance.

As a Senior DevOps Engineer, youll help turn agentic AI capabilities for diagnosing and troubleshooting network and GPU infrastructure into secure, scalable, production-ready services. This role stands out through its end-to-end ownership across cloud and customer-managed environments, close partnership with software and AI engineers, and direct influence on the reliability of NVIDIAs AI infrastructure.


What You'll Be Doing:
Own the DevOps, infrastructure, security, release, and reliability lifecycle - from development environments and CI/CD through deployment, production readiness, and sustained operations.
Build and operate Kubernetes environments and Helm-based deployments for a Python, FastAPI, Node.js, and React microservices platform across SaaS and on-premises footprints.
Engineer GitLab CI/CD pipelines with automated testing, container builds, vulnerability scanning, and versioned image and Helm chart publication through JFrog Artifactory.
Automate infrastructure provisioning, configuration, upgrades, and routine operational workflows to accelerate delivery and improve engineering productivity.
Operate PostgreSQL, Temporal workflow services, and S3-compatible object storage with disciplined capacity planning, backups, recovery testing, and safe migrations.
Strengthen release reliability through deployment validation, reduced-downtime strategies, persistent-state protection, and recovery plans for active workflows.
Deliver actionable observability and security using OpenTelemetry, Datadog/Grafana, Langfuse, secrets management, identity integration, TLS, Kubernetes RBAC, network policies, and container hardening.
Partner with software and AI engineers to troubleshoot distributed systems, investigate incidents, define reliability targets, and improve platform performance, resource efficiency, and customer outcomes.

We are seeking an experienced and dynamic medical data analyst to join our company. This role will focus on the integration of real-world data (RWD) into the company marketplace and executing research and analysis on that data. The position involves close collaboration with the medical and epidemiological team, contributing to the development of internal frameworks and processes, and working alongside the Product and R&D teams.
Integration of new data providers/sources to the company marketplace and configuring their data to be onboarded to the company Marketplace (using FHIR/OMOP format)
Testing and validating that the data that is onboarded to the company Marketplace is standardized and harmonized across all sites. And creating process and infrastructure to keep all configuration up to date.
Supporting the company dynamic datasets product which are RWD mastersets that are being used for sales and marketing efforts and are on of the main products.
Facilitating feasibility tests and research on top of the company Marketplace to enhance the sales process and and ensuring the delivery of data requests and analyses.
Close contact with key stakeholders in the organization: Medical lead, Product, R&D team leaders, to make our product better and be able to deliver value to our customers.

We're looking for a Director of Sales to lead (SMB) sales team, our engine for winning and growing customers You'll manage a team of Account Executives selling a product IT professionals genuinely love: a trusted, disruptive AI-powered platform that's reshaping IT management worldwide. With Robin, our native AI agent built directly into the platform, leading the charge in autonomous IT, and was recently named a Visionary in the Gartner Magic Quadrant for Endpoint Management Tools.

If you've built and scaled SaaS sales teams before, know how to win in North America, and want to help shape a sales org from the inside, this role is for you.

Responsibilities

Own the commercial (SMB) segment's sales targets and pipeline health
Manage, coach, and develop a team of Account Executives, driving performance against quota and professional growth
Report on team performance, forecasting, and pipeline metrics to Sales Leadership
Build and refine sales processes, playbooks, and methodology tailored to the SMB motion
Recruit, hire, and onboard AEs as the team scales
Partner with Sales Ops, Marketing, and SDRs to improve pipeline quality, conversion, and handoff to Customer Success
Act as a player-coach where needed: get into deals, help close, and model the behaviors you want the team to adopt
Champion the use of AI-native selling techniques and help the team position AI capabilities (Robin) effectively against the competition

We're looking for a Backend Engineer to help build and scale the Machine Learning Platform that powers how we use AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.