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seeking a senior, hands-on CISO & Head of IT to act as "one-man-show" authority for IT operations and information security. This role owns IT and Information Security e2e for core business functions:
setting direction, making structural and vendor decisions, and defining what "good" looks like, while also answering questions in real time, exercising sound judgment, and taking ownership when issues arise.
This is a highly visible leadership role focused on judgment, ownership, and practical execution.

Key Responsibilities

Information Security & Risk

Build and maintain a pragmatic information security and IT risk management program aligned with business priorities.
Lead security risk assessments and drive remediation in partnership with engineering, IT, and business teams.
Define and maintain security policies, standards, and secure-by-design practices in collaboration with our Product House organization.
Promote security awareness and accountability across the company, including ownership of employee security training programs.
IT Ownership

Own internal IT environment, including identity and access management (e.g., Okta), Google Workspace, endpoints, and core SaaS tools.
Ensure smooth employee onboarding and offboarding.
Act as a point of escalation for IT issues and access problems, including hands-on work.
Manage external IT service providers and helpdesk vendors, including SLAs and escalation.
Security Operations

Own the overall effectiveness of security monitoring, detection, and response.
Design and maintain preventive controls, processes, and readiness measures to reduce the likelihood and impact of data security incidents.
Ensure vulnerabilities, findings, and incidents are identified, prioritized, and addressed.
Lead preparation for security incidents, including incident response planning, tabletop exercises, and coordination with Legal, Product House, and external partners.
Stay current on emerging threats and translate them into practical, risk-based improvements for the business.
Audits, Customers & Vendors

Lead security audits and certifications (e.g., SOC 2, ISO 27001) and serve as the primary contact for auditors.
Personally own customer security questionnaires and security discussions.
Partner closely with Legal on privacy, regulatory, and contractual security matters.
Oversee the IT and security budget and manage relevant vendors and advisors.

It starts with you - a technical leader whos passionate about database systems and growing high-performing teams. You care about query performance, uptime, data durability, and operational excellence. Youll lead the Datastores team in operating, tuning, and scaling the database engines that serve the platform - from PostgreSQL to Elasticsearch, Redis to vector databases, across cloud and on-prem environments.
If you want to lead a team that keeps the database engines running for mission-critical AI systems, join our companys mission - this role is for you.
The Responsibilities
Lead and grow the Datastores team - hiring, mentoring, and developing engineers while fostering a culture of operational excellence.
Own database reliability and availability - ensuring systems meet demanding SLAs for government and national-scale customers.
Drive performance tuning and optimization - query analysis, index strategies, configuration tuning, and resource optimization across all database engines.
Establish operational practices - backup/recovery procedures, disaster recovery, replication strategies, and failover automation.
Plan and execute capacity management - monitoring growth, forecasting needs, and scaling databases ahead of demand.
Lead incident response for database issues - troubleshooting, resolution, and post-incident improvements.
Enable new capabilities - evaluating, deploying, and operating new database technologies including vector databases for AI workloads.
Partner with Data Platform, Data Engineering, Engineering, and Security teams to align database operations with platform needs.
Define and uphold database SLAs that support retrieval paths, feature stores, and embedding durability; coordinate on schema evolution, partitioning, and safe replay/backfills.
Integrate with catalog and lineage systems - surfacing ownership, change history, and impact analysis for critical datasets and collections.
Collaborate with Data Platform, Data Engineering, Engineering, Security, Product, AI/ML, Data Science, and Analytics to prioritize performance, durability, and evolution of data stores across workloads.

Reporting to the HR Ops Director (CoE), you will evolve our HR function from operationally solid to technologically exceptional - building the next generation of HR where humans and AI agents work seamlessly together.

What Youll do
- Lead AI & Automation Initiatives

Identify repetitive, manual HR processes and automate them.
Build and deploy AI agents to support HR operations.
Experiment with new AI tools and continuously introduce smarter ways of working.
Enable the HR team and managers to work effectively alongside AI, building a true human + agent collaboration model.
- Keep upgrading our HR infrastructure

Own and continuously evolve our HRIS (HiBob) as a strategic platform.
Design scalable, automated workflows across the employee lifecycle - from onboarding to offboarding.
Ensure data integrity, clean system architecture, and seamless tool integrations.
- Drive People Analytics & Strategic Insight

Turn workforce data into actionable insights for leadership. Lead reporting and analysis around attrition, headcount planning, performance trends, cost management, and organizational health.
Build automated dashboards and reporting frameworks that reduce manual reporting and improve decision-making.
Use predictive thinking to anticipate risks and opportunities.
- Optimize Comp&Ben & Ensure Compliance

Lead comp&ben, support and optimize total rewards processes, ensuring efficiency and market competitiveness.
Maintain operational excellence and compliance across employment lifecycle processes, documentation, and policies.
Create structured, scalable solutions that mitigate risk and ensure consistency.-
- Champion Continuous Improvement

Partner closely with Finance, Legal, Talent Acquisition, and business leaders.
Align workforce planning, compensation processes, and operational frameworks with company objectives.
Introduce automation and system improvements across cross-functional workflows.
Proactively identify inefficiencies, gaps, and friction points in HR operations.
Raise the bar on how HR operates - making it faster, smarter, and more impactful.

looking for a strategic Senior Business Application Admin to own the architecture and optimization of our Go-To-Market (GTM) and Customer Support infrastructure. You will not just be a "Salesforce Admin"; you will be a trusted advisor to the C-Suite, translating complex business goals into scalable technical solutions across Salesforce, our Support Portal, and our wider sales ecosystem (Salesloft, ZoomInfo, Apollo, Fathom).

What You Will Do

Serve as the sole Salesforce Administrator in the company.
Own the GTM Tech Stack: Manage and optimize Salesforce and integrated applications (Salesloft, ZoomInfo, Apollo, Fathom), ensuring data flows seamlessly between Marketing, Sales, and CS.
Manage the Support Portal: Oversee the configuration and maintenance of our Salesforce-based Support Portal (Experience Cloud), ensuring a seamless experience for external customers and internal Support agents.
Strategic Business Partnering: Work closely with C-level executives (CRO, CMO, CFO) to translate high-level business goals into technical reality. You will challenge assumptions and propose scalable alternatives to "quick fixes."
Process Architecture: Design automated workflows (Flows) that support complex Sales and Support processes, from Lead-to-Cash to Case Resolution (SLAs, Entitlements).
Data Integrity & Analytics: Act as the guardian of data quality. Implement validation rules and duplicate management strategies to ensure the BI team has clean, reliable data for executive reporting.

It starts with you - an AI Engineering Team Lead responsible for leading a team building production-grade agentic systems. This role combines hands-on technical leadership with people management, ownership of architecture, delivery, and quality across agents, MCP tools, agentic workflows, RAG systems, and evaluation.
If you want to grow your skills building AI products for mission-critical AI, join our companys mission - this role is for you.
The Responsibilities
Lead and mentor a team of AI Engineers building agentic systems and MCP tools.
Own technical direction for agent architectures, workflows, and LLM evals.
Review designs and code; ensure production readiness, reliability, and security.
Drive adoption of frameworks such as LangChain, LangGraph, or equivalent.
Set standards for RAG pipelines, vector databases, and retrieval quality.
Partner with product and platform teams on roadmap, scope, and delivery.
Balance hands-on contribution with people management and execution.
Build a culture of strong engineering practices, measurement, and iteration.

Were looking for a Senior Full Stack Frontend-oriented Engineer to join our core R&D team in TLV - to lead frontend architecture, build highly responsive real-time experiences, and make a real impact on a high-performance, high-availability production environment.

Stuff youll be doing:

Own and evolve core frontend applications in a mission-critical, large-scale SaaS platform that powers global enterprise operations.
Design and build complex, real-time user interfaces that visualize and control large volumes of operational data.
Develop high-quality, production-grade code using modern React, TypeScript, and state management patterns.
Lead frontend architecture decisions in a monorepo environment, focusing on scalability, performance, and maintainability.
Collaborate closely with backend engineers, product managers, designers, and data teams to deliver end-to-end solutions
Define and drive front-end best practices - testing strategies, performance optimization, code quality, and developer experience.
Explore and adopt new technologies, tools, and patterns that improve frontend performance, reliability, and development velocity.

It starts with you - a senior AI engineer focused on building production-grade agentic systems: autonomous agents, MCP tools, agentic workflows, and rigorous evaluation.
If you want to grow your skills building AI products for mission-critical AI, join our companys mission - this role is for you.
The Responsibilities
Design and build single- and multi-agent systems with planning, memory, and tool use.
Implement and operate MCP tools and servers with secure schemas and permissions.
Build agentic workflows using LangChain, LangGraph, or equivalent frameworks.
Integrate LLMs via SDKs; manage prompts, structured outputs, and tool calling.
Define and run LLM evals (quality, correctness, latency, cost, regressions).
Add observability and reliability (logging, tracing, retries, state management).
Optimize performance and cost; take systems to production.
Mentor engineers and establish agentic best practices.

It starts with you - ML Engineering Team Lead responsible for leading a team delivering end-to-end ML systems. This role combines people management with ownership of model training, evaluation, deployment, and ML platform standards
If you want to grow your skills building AI products for mission-critical AI, join our companys mission - this role is for you.
The Responsibilities
Lead and mentor ML Engineers delivering production ML systems.
Own technical direction for model architectures, training pipelines, and evals.
Review designs and code; ensure scalability, reliability, and data quality.
Define standards for experimentation, reproducibility, and monitoring.
Partner with product and platform teams on roadmap and prioritization.
Balance hands-on technical contribution with people management.
Build a culture of measurement, rigor, and continuous improvement.

At our company, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
The Responsibilities
Conduct hands-on research and development of cutting-edge models
Take research projects from ideation to deployment and production
Work closely with domain experts and the engineering department to improve and create new innovative solutions.
Help define the AI product roadmap.

It starts with you - an engineer driven to build modern, real-time data platforms that help teams move faster with trust. You care about great service, performance, and cost. Youll architect and ship a top-of-the-line open streaming data lake/lakehouse and data stack, turning massive threat signals into intuitive, self-serve data and fast retrieval for humans and AI agents - powering a unified foundation for AI-driven mission-critical workflows across cloud and on-prem.
If you want to make a meaningful impact, join our companys mission and build best-in-class data systems that move the world forward - this role is for you.
The Responsibilities
Build self-serve platform surfaces (APIs, specs, CLI/UI) for streaming and batch pipelines with correctness, safe replay/backfills, and CDC.
Run the open data lake/lakehouse across cloud and on-prem; enable schema evolution and time travel; tune partitioning and compaction to balance latency, freshness, and cost.
Provide serving and storage across real-time OLAP, OLTP, document engines, and vector databases.
Own the data layer for AI - trusted datasets for training and inference, feature and embedding storage, RAG-ready collections, and foundational building blocks that accelerate AI development across the organization.
Enable AI-native capabilities - support agentic pipelines, self-tuning processes, and secure sandboxing for model experimentation and deployment.
Make catalog, lineage, observability, and governance first-class - with clear ownership, freshness SLAs, and access controls.
Improve performance and cost by tuning runtimes and I/O, profiling bottlenecks, planning capacity, and keeping spend predictable.
Ship paved-road tooling - shared libraries, templates, CI/CD, IaC, and runbooks - while collaborating across AI, ML, Data Science, Engineering, Product, and DevOps. Own architecture, documentation, and operations end-to-end.

It starts with you - an engineer driven to operate database systems at the highest level of reliability and performance. You care about query latency, uptime, data durability, and getting paged as little as possible. Youll operate, tune, and scale the database engines that serve the platform - from PostgreSQL to Elasticsearch, Redis to vector databases, across cloud and on-prem environments.
If you want to run the databases that power mission-critical AI at national scale, join our companys mission - this role is for you.
The Responsibilities
Operate and maintain database systems - PostgreSQL, Elasticsearch, Redis, MongoDB, vector databases, and others across cloud and on-prem.
Own database reliability - high availability configurations, replication, failover automation, and SLA adherence.
Drive performance tuning - query optimization, index design, configuration tuning, and resource profiling to meet latency and throughput targets.
Execute operational procedures - backup/recovery, disaster recovery testing, upgrades, migrations, and capacity scaling.
Lead incident response for database issues - troubleshooting production problems, root cause analysis, and implementing preventive measures.
Build monitoring and alerting - dashboards, metrics collection, slow query analysis, and proactive capacity alerts.
Enable new capabilities - deploying and tuning vector databases for AI workloads, evaluating new database technologies.
Collaborate with Data Platform, Data Engineering, Engineering, and Security teams on database operations and best practices.
Uphold database SLAs that support retrieval paths, feature stores, and embedding durability; coordinate safe schema evolution, partitioning, and replay/backfill practices.
Expose catalog and lineage signals - ownership, change history, and impact analysis - to improve trust and safe consumption for downstream users.
Collaborate with Data Platform, Data Engineering, Engineering, Security, Product, AI/ML, Data Science, and Analytics to balance performance, durability, and evolution across workloads.

At our company, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
The Responsibilities
Conduct hands-on research and development of state-of-the-art models, algorithms, and systems.
Lead research projects end-to-end from problem formulation, ideation, and experimental design to prototyping and transition into production.
Explore new methodologies and develop creative approaches to solve complex challenges.
Identify ambitious research directions and invent novel approaches to solve complex, high-impact problems.
Shape the research roadmap and influence long-term technical strategy across the organization.

It starts with you - a senior ML engineer responsible for building, training, evaluating, and operating machine learning systems in production. The role focuses on data pipelines, model training, experimentation, evaluation, and scalable deployment.
If you want to grow your skills building AI products for mission-critical AI, join our companys mission - this role is for you.
The Responsibilities
Design, train, and evaluate ML models for production use.
Build and maintain data pipelines for training, validation, and inference.
Own experimentation workflows: feature engineering, training runs, and comparison.
Implement model evals, monitoring, and drift detection.
Package and deploy models to production systems.
Optimize training and inference performance, cost, and reliability.
Collaborate with data, platform, and product teams.
Mentor engineers and promote ML engineering best practices.