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We are looking for a Sr. Director of Product Management to lead product strategy, execution, and a team of product managers responsible for core AI-driven products. This is a managerial role with ownership over product direction, team leadership, cross-functional alignment, and measurable business outcomes.

The ideal candidate combines strong product judgment, enterprise B2B experience, technical fluency, and proven people leadership. This person should be comfortable managing and mentoring product managers, setting clear priorities, building effective product operating rhythms, and working with complex AI, data, and optimization products while keeping the roadmap grounded in customer value, operational adoption, and commercial impact.

Key Responsibilities:

Lead, manage, and mentor a team of product managers, supporting their prioritization, execution quality, stakeholder management, and professional growth.
Own the product strategy, roadmap, and execution plan for a major product area or platform capability.
Translate company goals, customer needs, market signals, and technical capabilities into clear product priorities.
Establish strong product management practices, including discovery, roadmap planning, requirements definition, release readiness, and success measurement.
Partner closely with engineering, data science, and algorithmic teams to define feasible, high-impact product solutions.
Work with sales, customer success, implementation, and leadership teams to understand customer pain points and turn them into scalable product direction.
Define product requirements, success metrics, adoption goals, and business impact measures.
Lead prioritization across competing customer requests, technical investments, and strategic initiatives.
Support executive-level discussions with customers and internal leadership on product direction, tradeoffs, and outcomes.
Create clarity for cross-functional teams by communicating product priorities, decisions, risks, and tradeoffs.
Identify opportunities to expand AI-driven product capabilities across airlines and additional markets.
Ensure product decisions are grounded in data, customer evidence, technical reality, and business strategy.

We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

WHAT YOU WILL DO

- Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.

- Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.

- Stay hands-on: contribute to design and code, review work, and set engineering standards.

- Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.

- Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.

- Help evolve the platform, including our ongoing migration from Dask to Ray.

We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact.

Responsibilities:

Develop and implement state-of-the-art econometric and machine learning models for demand forecasting.
Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability.
Collaborate with cross-functional teams (including product, data engineering, MLOPS and Platform) to deploy ML systems in production.
Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives.

We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.

We are seeking a detail-oriented and collaborative Senior ML Engineer to help support and maintain our machine learning capabilities. This role is ideal for someone who enjoys working closely with production systems, ensuring reliability, scalability, and explainability of models while enabling research teams to deliver impact faster.



Responsibilities



Collaborate with cross-functional teams to ensure ML systems remain robust, explainable, and aligned with business needs.
Monitor and report on ML model performance, reliability, and explainability metrics.
Participate in model retraining procedures, implement automation and optimization of MLOps pipelines.
Extend and scale monitoring pipelines, including support for new features in development.
Investigate, troubleshoot, and resolve issues in production ML workflows (tiered support from initial triage to root-cause analysis with model owners).
Develop and maintain repositories for feature engineering, inference monitoring pipelines, and artifact monitoring tools.
Perform exploratory data analysis (EDA) on historical datasets to identify quality issues and maintain data health.
Implement and oversee production based adjusters across customer deployments.
Evaluate and track critical ML artifacts such as explainability files, coverage metrics, and alignment of features.
Support development and maintenance of internal tools (e.g., interfaces, registries, and feature monitoring frameworks).
Build and maintain static and temporal features, including seasonality, event-based, and price-related features.

Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact.
Architectural modularization: Design Kubernetes-native abstractions - controllers and operators - and decouple infrastructure into independent service lifecycles that support rapid iteration.
Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software - versioned, reviewed, tested, and CI-gated.
Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system.

We are looking for a Data Science Engineer to design and implement the decision-making logic of our Price Optimizer. You will focus on translating complex business rules into mathematical models and production-ready Python code.

Your primary mission is to build the "brain" of our system. You will work at the intersection of Data Science and Product, ensuring our simulation and optimization engines accurately reflect real-world pricing strategies and market dynamics. While you will write production code, you will rely on our Data Engineers for ETL pipelines orchestration and distributed compute scaling.

Responsibilities:

Implement Business Logic: Translate intricate pricing rules and commercial strategies into robust Python code and mathematical constraints.
Refine Optimization Models: Develop and tune the simulation and revenue management algorithms that drive our pricing recommendations.
Write Clean Code: Contribute high-quality, tested, and maintainable code to the core logic repositories.
Analyze & Improve: Use data to validate model behavior and identify edge cases where business rules clash with algorithmic outputs.
Collaborate: Partner with Solution Architects to define logic requirements and with Data Engineers to integrate your models into the Dagster pipelines.

We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.

You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.

Responsibilities

Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.

As a Technical Account Manager , you sit at the intersection of customer engineering, security operations, and product. You own the post-sales technical relationship for a set of our most important customers, from onboarding through adoption, through the moments that actually matter. In critical situations, you're the person customers call. You help them understand what's happening, why it matters, and what to do next.

This is a hands-on, deeply technical, high-trust role. It's not a support escalation path, it's a strategic one. You'll shape how customers succeed , and you'll shape product by bringing the reality of SOC analysts, detection engineers, threat hunters and incident responders back to our R&D and product teams.



What You'll Do

Be the technical and security authority customers trust

Own the post-sales technical and security relationship for a portfolio of customers, acting as their primary trusted advisor.
Lead onboarding and implementation, data indexing, detection onboarding and tuning, environment configuration, end to end.
Diagnose and resolve complex issues across log pipelines, cloud integrations, detections, automations and permissions.
Partner directly with customer security teams, cloud engineers, and security leadership during investigations and escalations.
Assist customers with building custom AI skills within the platform to solve their pain points.
Drive real adoption, not just go-lives

Conduct technical health checks and lead business reviews with a bias toward action.
Monitor customer health proactively, identify risks early, and intervene before they become problems.
Help customers unlock the full value , not just check a deployment box.
Shape the product from the field

Work directly with engineering and product teams to escalate issues and push them toward resolution.
Translate what you see in the field, real patterns, real friction, real gaps, into product influence.
Be the voice of the customer in rooms where roadmap decisions actually get made.
Advocate for the shift in the industry towards agentic detections and leveraging AI skills to solve security teams' pain points.
Show up in person when it counts

Travel to customer sites for key engagements (~25% of the time).

We are looking for a Team Lead, Product Management to lead a group of Product Managers responsible for core areas of the platform. In this role, you will combine strong product leadership with hands-on execution, owning strategy and delivery while coaching and developing PMs on your team. You will work closely with engineering, design, and leadership to ensure the team is building the right things, in the right way, for our customers.





WHAT YOU WILL DO

Lead and manage a team of Product Managers, providing coaching, feedback, and development
Own product strategy and roadmap across multiple related product areas within
Ensure clear problem definition, prioritization, and execution across your teams scope
Partner closely with engineering and design leads to align product direction, technical decisions, and delivery plans
Act as a senior product voice with internal stakeholders, customers, and executive leadership
Engage directly with customers to understand enterprise SOC workflows and security challenges
Translate company-level goals into clear objectives and priorities for your product team
Identify opportunities where AI-native approaches can meaningfully improve security operations and analyst workflows
Drive competitive analysis and market insight to inform product decisions and positioning
Support go-to-market efforts with clear product narratives and alignment across sales, marketing, and customer teams
Raise the bar for product quality, customer focus, and execution discipline across the team

We're looking for a Security Researcher to join our team at the intersection of security research, AI, and product. This isn't a traditional research role - you'll be deeply embedded in how the platform is built, working side by side with R&D, Product, and AI teams to make sure security expertise is baked into every layer of what we ship. You'll own detection and analytics research across cloud, identity, endpoint, and beyond, while actively shaping how AI capabilities are applied to solve real security problems at scale.





WHAT YOU WILL DO

Research and develop sophisticated detections and behavioral analytics across multiple security landscapes - cloud, identity, endpoint, network, and application - with a focus on coverage that scales across customer environments.
Work closely with R&D, Product, and AI teams as the security authority - reviewing features, shaping designs, and ensuring security logic is sound, practical, and impactful.
Apply an AI-native approach to detection and analytics challenges - leveraging LLMs, ML signals, and AI-assisted workflows to do things that rule-based approaches can't.
Identify gaps in detection coverage and analytical capabilities, and drive those findings directly into the product roadmap.
Analyze real-world attacker techniques and translate them into detection logic, hunting content, and analytical frameworks that ship as part of the platform.
Evaluate detection quality rigorously - measuring fidelity, coverage, and performance against real attacker behavior and production telemetry.
Stay sharp on the evolving threat landscape and rapidly incorporate new techniques, campaigns, and attacker tooling into our detection library.
Contribute to external research output - blog posts, talks, open-source tooling - that reflects our depth and point of view in the security community.

We are looking for a Software Engineer to join our Core Team. This team owns and evolves our core query and indexing infrastructure, working directly on our query engine, query optimizations, indexing engines and pipeline. Youll solve deep technical problems and help shape the architecture of high-performance, complex systems.





WHAT YOU WILL DO

Design, develop, and maintain connectors to Databases and SIEMs.
Add new indexing capabilities to our indexing pipeline.
Own technical decisions end-to-end from design to production rollout.
Collaborate closely with product, infra, and data teams to align on technical direction and integration.

We're looking for a Software Engineer to join our R&D team. In this role, you'll design and build scalable, high-performance systems that bring together rich backend capabilities and intuitive frontend experiences. You'll be part of a mission-driven team, building innovative technologies that enable security teams to detect, analyze, and respond to threats faster than ever before.





WHAT YOU WILL DO

Develop and own end-to-end features across the entire stack, from backend services to frontend interfaces.
Design and implement distributed backend systems that handle massive volumes of security data in real-time.
Build modern, responsive, and accessible user interfaces using React, TypeScript, Remix, Tailwind, and Shadcn.
Architect and maintain robust APIs and data contracts between the frontend and backend.
Collaborate with product, design, and security experts to deliver impactful user facing features.
Ensure high code quality by writing comprehensive unit, integration, and E2E tests using tools like Vitest, Playwright, and React Testing Library, as well as backend testing tools
Optimize system performance, reliability, and scalability on both ends of the stack.
Take part in critical architectural discussions and influence the technical direction of the platform.

We're not looking for someone who fits neatly into a box. We're looking for someone who finds neat boxes a little underwhelming.
You're a builder, not just an advisor - analysis without artifacts isn't enough.
You close loops. You ship things - You leave systems better than you found them.
You're customer-obsessed - you understand that what happens in enterprise POVs isn't a distraction from the real work. It is the real work. You run toward hard customer problems rather than away from them.
You're opinionated and direct - you push back when something is wrong, change your mind when shown better evidence, and write and speak clearly without filler.
You move without waiting to be told - when something is broken or missing, you identify it, own it, and fix it. You don't need a clean scope to start. You operate well under ambiguity and produce clarity for everyone around you.
You have a hacker mentality - you find the path through, you're comfortable in ambiguous and underdocumented systems, and you debug by instinct as much as by method.
You're technically deep and contextually wide - you can go deep on a data pipeline, a detection rule, a query engine, or a cloud architecture, then explain any of it to an executive the same afternoon.

We're looking for an AI Engineer to join our team. As an AI Engineer , youll be a key member of our founding team, designing, building, and deploying cutting-edge AI systems that leverage large language models (LLMs), unstructured data, and advanced ML techniques. Youll be instrumental in bringing AI from research to real-world production, delivering high-impact features that drive our security platform.

In this role, you'll have a unique opportunity to solve complex problems, work with large scale data and be part of the core team that shapes the future of AI in the company.


WHAT YOU WILL DO

Design and develop end-to-end AI solutions, from data ingestion and modeling to deployment and observability.
Build and fine-tune LLM-based applications to tackle complex cybersecurity challenges.
Own the full ML lifecycle - from ideation and experimentation to production readiness.
Collaborate with product, engineering, and security teams to turn AI research into user-facing features.
Work with large-scale unstructured data (e.g., logs, threat intel, alerts) to extract meaningful insights.
Evaluate and optimize AI system performance, scalability, and reliability.
Contribute to core architectural decisions related to AI and ML infrastructure.