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We are looking for a Senior Applied AI Researcher to design, evaluate, and deploy AI systems that operate over complex security data and workflows.
This role focuses on building reliable agent-based systems, developing semantic representations of security data, and enabling AI systems to reason across structured and unstructured sources. The work spans research, experimentation, and productionization.
You will work on problems such as relational discovery, schema alignment, semantic modeling, and graph-based retrieval, and turn promising approaches into real systems used by security teams.
What Youll Do
Design and build AI systems for security analysis and automation.
Develop methods for relational discovery, schema matching, and semantic modeling across heterogeneous security data.
Design and run evaluation and benchmarking frameworks for models, agents, and end-to-end systems.
Experiment with agent architectures, tools, and orchestration strategies.
Investigate system behavior, analyze failure modes, and improve system reliability.
Collaborate with engineering teams to bring research prototypes into production systems.

We are looking for a DataOps Engineer to own the infrastructure that powers our large-scale data processing platform. This is a platform-facing role sitting at the intersection of data engineering and infrastructure - you'll be the person who makes Spark run reliably and efficiently on Kubernetes, so that data engineers can build with confidence.
You understand data workloads deeply enough to make smart infrastructure decisions, and you have the production instincts to keep complex systems healthy at scale. If you get excited about shaving minutes off Spark job runtimes, right-sizing cluster autoscalers, and building the internal tooling that makes a data platform feel effortless, this role is for you.
RESPONSIBILITIES:
Design, deploy, and operate the Kubernetes-based infrastructure that runs Apache Spark and large-scale data processing workloads
Own the reliability, performance, and cost-efficiency of the data platform - including SLAs, autoscaling, resource quotas, and workload isolation
Manage Spark-on-K8s configurations, Airflow infrastructure, and Databricks integration; tune for throughput, latency, and cost
Build and maintain CI/CD pipelines and infrastructure-as-code for data platform components
Develop observability tooling - metrics, logging, alerting, and data quality dashboards - to proactively surface issues across the pipeline stack
Collaborate closely with Data Engineers to understand workload patterns and translate them into infrastructure decisions
Manage cloud storage (GCS/S3), Delta Lake, and Unity Catalog infrastructure
Drive platform improvements end-to-end: from design through deployment and ongoing ownership.

We are seeking a strategic and detail-oriented Product Marketing Manager to join our fast-paced team. In this role, youll take ownership of high-impact initiatives-from crafting intuitive in-app messaging and product guidance to developing compelling collateral that moves the needle on adoption. Were looking for a gifted writer who thrives in a cross-functional environment, partnering closely with Product, Engineering, and customer-facing teams to bridge the gap between data and value. As a proactive self-starter, youll independently manage multiple projects to drive measurable results. If you have a gift for translating dense, technical data methodologies into clear, persuasive stories-and you're energized by using AI tools to work faster and smarter- we want to talk to you!
RESPONSIBILITIES:
Support new product launches by crafting persuasive customer-facing messaging and collateral that drives awareness, engagement, and education around new features.
Create and maintain high-impact marketing assets, including one-pagers, presentations, and videos that articulate product value and drive adoption across key audiences.
Develop user-friendly knowledge base and Academy articles that guide users through feature functionality, usage, and underlying data methodologies.
Generate segmented in-product messages and emails aimed at different verticals and accounts to increase awareness and adoption.
Collaborate cross-functionally to shape product communication based on customer feedback and market needs.
Establish clear KPIs and regularly report on performance, using data to measure impact, optimize campaigns, and inform future product marketing initiatives.
Leverage AI-powered tools (e.g., LLMs, image generators, automation platforms) to accelerate content creation, streamline workflows, and enhance the quality of marketing deliverables.

We are looking for a Marketing Analyst & ABM Specialist to own day-to-day marketing analytics while playing a hands-on role in how we execute and measure account-based marketing. This role sits at the intersection of marketing, sales, and data - you'll be the first point of contact for marketing analytics questions, and you'll use those same analytical chops to make our ABM campaigns and sales enablement efforts sharper and more effective.
This is a great fit for someone early in their career who is equally comfortable in a spreadsheet and a stakeholder conversation - someone who wants to understand how the business works, not just report on it.
RESPONSIBILITIES:
Marketing Analytics (Primary Focus)
Be the default owner for marketing analytics questions - "What happened?", "Why did this change?", "Can we break this down by X?"
Build, maintain, and iterate on dashboards used by Marketing, Sales, and leadership
Analyze the full funnel (lead → conversion → expansion) across marketing channels, surfacing trends, drop-offs, and anomalies worth investigating
Sanity-check metrics and ensure numbers are being interpreted correctly - push back when they're not
Explain campaign and funnel performance clearly to non-technical stakeholders
Document metric definitions and assumptions so knowledge doesn't stay locked in people's heads
Help monitor data quality and investigate issues as they arise
ABM Campaign Support:
Coordinate execution of ABM campaigns across Sales and Marketing, including audience targeting and marketing activities tied to specific accounts
Use campaign performance data and intent signals to inform which accounts are most engaged and surface that context for AEs
Track ABM campaign metrics and translate findings into clear, actionable updates for stakeholders
Partner with Content teams to ensure the right content and assets are mapped to the right accounts and buying stages
Act as a resource for AEs by connecting them to the right content, assets, and data signals at the right stage of their deals
Bring a data-informed perspective to sales and marketing reviews - helping the team understand what campaigns are influencing pipeline and where the gaps are.

The Director of Finance will be responsible for managing our companys global financial operations, ensuring accurate reporting, strong financial controls, and effective planning processes. This role is both operational and strategic, partnering closely with the VP Finance and cross-functional leaders to drive financial discipline, visibility, and performance across the organization.
You're great fit If you are
Strong financial modeling and analytical capabilities
Solid understanding of SaaS business and subscription-based revenue models
High attention to detail with a strong focus on accuracy
Hands-on, proactive approach with the ability to work independently
Excellent communication skills and ability to collaborate cross-functionally
Process-oriented mindset with a focus on scalability and efficiency
What you'll do
Key Responsibilities:
Lead and oversee all accounting operations (internal and external resources)
Own monthly, quarterly, and annual closing processes.
Ensure accurate and timely financial reporting.
Maintain compliance with local and international accounting standards.
FP&A & Business Partnership:
Lead annual budgeting and ongoing forecasting processes.
Track and analyze key SaaS metrics.
Provide variance analysis and actionable insights to department leaders.
Cash Flow & Controls:
Oversee cash flow forecasting and liquidity management.
Develop and improve internal controls and financial policies.
Systems & Process Improvement:
Improve financial systems, reporting tools, and automation.
Lead implementation and optimization of ERP and finance tools.
Team Leadership:
Manage and mentor the finance team.
Coordinate work between internal finance staff and external service providers.
Collaborate closely with Sales, Operations, Product, and HR.