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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

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.

Were a small, experienced, and tight-knit engineering group at our company, building an advanced AI-powered solution for medical research.
Our platform empowers researchers and healthcare organizations to define populations, analyze real-world data, and accelerate scientific discovery responsibly and securely.
Weve been working together for years, driven by a shared mission and a culture that values delivery, ownership, quality, and impact.
Were now looking for another meaningful team member to join us! Someone who loves to build, cares deeply about user experience, and wants to make a real difference in healthcare through technology.
Design and build rich, data-centric web applications used by researchers worldwide.
Work across the stack with a strong emphasis on frontend architecture, performance, and UX, while collaborating with backend and AI engineers.
Deliver high-quality, scalable, and secure software features end-to-end.
Contribute to architectural discussions, product direction, and team culture.
Help push forward a cutting-edge medical AI co-pilot that turns complex data into actionable insight.

We are at the forefront of the AI revolution, delivering brand new accelerated compute platforms for global impact. Our Network Architecture group is seeking a talented and motivated Sr. Software Engineer to build the agentic workflows that our architects use in their daily work. The software at the center of this role is our hardware network simulation environment - you will design multi-step agent workflows over it, engineer the context that grounds them in our own specifications and source code, and optimize their runtime performance. If you are passionate about building the practical infrastructure that brings intelligent agents to life, we want to hear from you.


What you'll be doing:
Build agentic workflows - loops, graphs, and multi-step pipelines - that carry real hardware network simulation and analysis work end to end.
Engineer the context these workflows run on, turning our simulation models, specifications, design documents, and source code into context that makes agents accurate in our domain.
Work closely with network architects to understand their workflows and translate them into agent workflows they use daily.
Optimize the runtime performance of our simulation tooling on these platforms, including execution time, compute cost, and end-to-end latency.
Define evaluation and regression testing for agent workflows, so that changes to a prompt, a graph, or a context source are measurable.
Build observability across agent runs: what the agent did, where it failed, and why.
Champion guidelines for secure and reliable agent workflows, including data handling, access control, and interaction boundaries.
Serve as a key technical resource for solving sophisticated integration issues between agents and internal tooling.

We're looking for a Platform Tech Lead to join our Platform Engineering team.

In this role, you'll help shape the platform that powers all of R&D teams. You'll lead technical decisions, design scalable cloud infrastructure, build high-performance services, and drive engineering excellence across the organization. This is a highly hands-on role for someone who enjoys solving complex technical challenges while influencing architecture, scalability, and developer experience.

What You'll Do

Design, build, and maintain scalable backend services using C# and .NET Core.
Lead the design and evolution of our cloud-native platform and microservices architecture.
Build infrastructure and developer platforms that enable engineering teams to move faster.
Work with Kubernetes, Docker, and cloud platforms (Azure, AWS, or GCP).
Drive architectural decisions with a strong focus on scalability, reliability, security, and performance.
Collaborate closely with engineering teams to improve developer experience and platform capabilities.
Mentor engineers and serve as a technical leader across multiple teams.

We're looking for a Staff Product Designer to help shape the future of how we design- not just by doing great work, but by raising the bar for everyone around you.
This role sits within our Product Design team, based in Tel Aviv. You'll take on the broadest, most complex design challenges we have - owning them end-to-end, driving decisions across teams and disciplines, and influencing how we think about product and design at a company level.
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.
We don't expect designers to know every tool or model. We do expect genuine curiosity - using AI in your process, designing experiences that couldn't exist without it, and staying open to rethinking the work, not just accelerating it.
In this role you'll:
Lead the design of our most complex, high-impact product areas - owning scope end-to-end from problem definition through delivery
Drive decisions across Product, Engineering, Data, and leadership, bringing design perspective into the room early and often
Mentor and elevate designers across the team - through feedback, collaboration, and raising the standard of what great work looks like
Communicate clearly and confidently to all audiences - from teammates to senior leadership, internally and externally
Shape how we approach AI-powered experiences, and help the wider team think bigger about what AI makes possible
Contribute to the strategic direction of our design systems and set the quality bar for craft across the team
Spot gaps in how we work and take ownership of fixing them - whether that's process, tooling, or how design shows up in the product org.

Were a small, experienced, and tight-knit engineering group at our company, building an advanced AI-powered solution for medical research.
Our platform empowers researchers and healthcare organizations to define populations, analyze real-world data, and accelerate scientific discovery responsibly and securely.
Weve been working together for years, driven by a shared mission and a culture that values delivery, ownership, quality, and impact.
Were now looking for another meaningful team member to join us! Someone who loves to build, cares deeply about user experience, and wants to make a real difference in healthcare through technology.
What Youll Do
Design and Build Core Applications: Develop and optimize rich, data-centric web applications used by researchers globally, applying a strong focus on backend, infrastructures, architecture and performance
Contribute Across the Stack: Deliver scalable, secure software features end-to-end. This includes seamlessly integrating the backend with UI applications, other microservices and contributions to our infra domain (K8s, Docker, Terragrunt)
Collaborate on AI Tools: Partner with UI and AI engineers to integrate our cutting-edge medical AI co-pilot, turning complex data insights into practical, user-friendly features.
Influence Strategy and Culture: Actively participate in architectural discussions and product direction, contributing positively to our team's mission-driven culture of quality and ownership.

You wont just be managing projects; you will be driving the future of enterprise AI delivery. You will own the end-to-end delivery of enterprise engagements, taking full accountability for execution from kickoff through UAT, hyper care, and successful production rollout. As the single owner of the plan and the customer relationship, you will lead a dedicated delivery pod, manage critical operational gates, and serve as the main line of defense and strategic boundary for customer escalations.

What Youll Do

Pod Leadership & Customer Ownership: Run the delivery pod as the single owner of the project plan and the customer relationship, driving alignment and execution across all workstreams.
Delivery & Governance: Lead complex enterprise AI deployments, managing project governance, RAID logs, change requests, UAT readiness, and hypercare.
Preconditions & Gates Management: Take full ownership of establishing and validating preconditions and delivery gates directly with the customer to ensure smooth project progression.
Escalation Management: Serve as the primary boundary for demanding day-to-day customer interactions, independently resolving issues and strategically deciding when and how to trigger executive-level escalations.
Client Success & Coordination: Partner with enterprise stakeholders, AI engineers, solution architects, and product teams to translate business requirements into scalable, high-performing workflow plans.

Were looking for a Senior Backend Engineer to help build the core systems powering our company- the infrastructure, APIs, data pipelines, and AI-driven engines behind the product.
Youll own major parts of the backend, work closely with Product, AI, and Frontend, and ship features that are scalable, observable, and secure.
What you will do
What Youll Do
● Build scalable, production-grade backend systems that power our companys core product and AI capabilities
● Own features end-to-end: clarify requirements, design architecture, implement, test, ship, monitor, iterate
● Design and build services that support complex workflows (including AI-driven flows)
● Improve system reliability: observability, monitoring, incident readiness, performance tuning, and cost awareness
● Collaborate tightly with Frontend, Product, and AI/ML to deliver fast iterations with high quality.