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We are building the next generation of AI-powered investigator tools . Our cloud-based AI platform delivers cutting-edge capabilities including multimodal analysis, embeddings, OCR, speech-to-text, face detection, image and text classification, and LLM completions through a scalable serverless architecture.
As a Senior Software Engineer on the AI Platform team, you will be part of the core team that designs, builds, maintains, and evolves the shared AI service platform that powers real investigative workflows at enterprise scale. You will help turn advanced AI concepts into production-grade serverless systems, shaping orchestration, retrieval, context, and backend architecture across the platform.

Were looking for an experienced Software Engineer with a strong background to become an integral member of our Data-Core team, tasked with the mission of processing, structuring, and analyzing hundreds of millions of data sources. Your role will be pivotal in creating a unified, up-to-date, and accurate utilities map, services, and applications for accelerating our mapping operations. Your contributions will directly impact our core product's success.


Key Responsibilities
Build and maintain components within distributed data pipelines - producer-consumer workflows over SQS, Airflow DAGs, Kubernetes-based processing.
Integrate outputs from the algorithms and ML teams into production workflows - implementing ETL steps, handling data transformations, ensuring upstream results are consumed correctly.
Contribute to shared Python libraries (14 packages consumed by 10+ services) - following existing patterns, writing clean code, understanding how changes affect downstream consumers.
Work within stateful workflow engines - implementing new steps, fixing issues in ticket state machines and multi-stage recovery workflows.
Debug pipeline issues by tracing data flow through SQS, Airflow, Kubernetes, and PostgreSQL to narrow down where things broke.
Contribute to ETL and data infrastructure - multi-source ingestion, taxonomy-based normalization, and database operations.
Improve reliability and observability - adding error handling, logging, monitoring, and alerting to existing services.

We're seeking an experienced Full-Stack engineer proficient in both front and back-end programming, dedicated to leveraging technology for impactful product development. As a key member of the application team, your role involves designing and developing scalable front-end solutions, web architecture, and end-to-end platform services. Collaboration with product managers, UX/UI designers, and Geo-information analysts is essential to deliver robust features.

Responsibilities:
Build top-notch, scalable, and reusable code, adhering to best practices in software engineering, architecture, and processes, including code reviews and testing.
Take complete ownership of new features, collaborating with PMs to define requirements, design scalable solutions, and iteratively enhance them based on user feedback.
Lead the development and maintenance of microservices, contributing to the evolution of our architecture for enhanced scalability and modularity.
Collaborate closely with cross-functional teams to define, design, and deliver high-quality software applications that align with both technical and business requirements.

Were looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.
This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features-from data pipelines and LLM orchestration to intuitive UI experiences-with a strong product mindset.

We are looking for an experienced Back End Tech lead, to further develop the platform. You will join one of our Fullstack teams and help the teams build a product that customers love and use on a daily basis, a product that is fun to use, fast, reliable and scalable. The product has a broad amount of features and serves more than 1.5M active users, leading to many product and engineering challenges.
A Tech Lead is a hands-on engineer who leads by example, bridges the gap between strategy and execution, and strengthens the effectiveness of their team. This role is distinct from that of a Senior Developer through a clear set of responsibilities that focus not just on individual excellence but on team-level technical leadership, decision-making, and operational maturity.
Key Responsibilities;
Lead complex projects, own technical roadmap and architecture decisions
Actively contribute high-quality code to critical areas, set standards for the team
Drive tech standards, lead testing coverage, monitor KPIs, ensure excellence before shipping
Own platform stability, lead major incidents, drive root cause analysis and action items
Coach team through code reviews, technical sessions, and content; be the go-to technical expert
Lead the teams technical roadmap
Conduct technical interviews, run onboarding, represent team in cross-functional forums

we are looking for an experienced Data Analyst to work with us to drive insights and create stronger visibility in the organization. You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic environment.
Key Responsibilities:
The role is focused on the marketing domain, working closely with growth, performance marketing, and user acquisition teams.
You will analyze marketing funnels, campaign performance, and attribution models to optimize ROI and drive scalable growth.
This position requires a strong understanding of marketing metrics (CAC, LTV, conversion rates) and the ability to translate data into actionable marketing insights.
Build Specialization-specific operational dashboards.
Develop an analytics framework in collaboration with business process improvement and operations management.
Quarterly planning and roadmapping in collaboration with operations management and product team.
Write monthly Specialization-specific performance reports; written reports should show methodology with detailed statistical analysis, a summary of key findings, and recommendations.
Incubate, operationalize, and streamline Product launches; including Friction Optimization to improve user experience.

Were looking for a highly skilled Technical Support Engineer to lead the charge in troubleshooting complex technical issues, ensuring exceptional customer satisfaction, and providing strategic solutions. Youll play a key role in documenting solutions, escalating critical cases, and leveraging your cloud expertise to deliver unparalleled support and build strong, lasting relationships with our customers.
Responsibilities:
Provide accurate and timely support via Slack, chat, or email to troubleshoot and resolve customer issues.
Diagnose and resolve technical problems, escalating complex issues to R&D or Product when needed.
Build strong relationships, educate customers on product features, and maintain a professional, supportive tone.
Create and update support documentation while logging all interactions in the support system.
Enhance skills through ongoing training to maintain technical excellence and deliver top-tier support.

we are seeking a skilled and experienced DevOps Engineer to design, plan and implement scalable, reliable and robust system infrastructure to support the companys rapid business and traffic growth.
You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.
What you'll be doing:
You will take an active part in the challenge of managing a highly available and fault tolerant production environment.
You will assist in identifying and resolving performance concerns and operational bottlenecks, debug complex pitfalls and advise on system architecture solutions.
You will build, design and maintain self-serve devex tools to increase development velocity and satisfaction.
You will push and impact our systems to be more cost effective, performant and simple to use and extend.

We are looking for a Senior Release Manager with 5+ years of experience to own the orchestration of our software delivery lifecycle in the cloud native domain.
In this role, you will move beyond traditional coordination to build automated, high-integrity deployment highways.
You will leverage GitOps principles to ensure our cloud-native applications are delivered with speed, safety, and auditability across multiple environments.
As a Release Manager, you will drive the end-to-end release lifecycle, ensuring alignment among teams and stakeholders. You will track and monitor release tasks across Development, QA, DevOps, and Documentation, acting as the central contact for milestone tracking and updates using tools like Slack, JIRA, and GitHub. Identifying and escalating delays, risks, or blockers for timely resolution is crucial to your role.
You will manage dependencies, resolving or escalating gaps to ensure smooth integration of incremental feature development into the main branch. Monitoring feature milestones and readiness for QA, you will communicate intermediate deliverables and coordinate the verification of deliverables merged into GitHub, with JIRA tickets linked to PRs. Ensuring successful CI/CD pipeline completion and system tests, you will escalate issues as needed and facilitate the timely creation and release of builds to QA, ensuring testing readiness.
By overseeing feature verification progress using JIRA dashboards, you will facilitate bug screening with QA, Development, Product, and Architecture teams. Executing security scans and managing vulnerabilities for compliance and release readiness are essential tasks. You will maintain and enforce compliance with predefined release criteria, compiling and reviewing release communications with stakeholders to ensure everyone is informed and aligned.
In this role, your ability to manage multiple moving parts and communicate effectively across teams will be key to ensuring successful and timely releases.
Your role orchestrates cross-functional activities to ensure smooth progression through all release milestones, from kickoff to General Availability (GA).
Your position is reporting to the Director of Operations, and working in close collaboration with Product Managers, R&D Team Leads and developers (QA, DevOps, Dev. Teams).

We are looking for a visionary AI Lead to build our internal AI platform and architect adaptive intelligence systems that serve as a dedicated security architect for each of our customers. You will lead a team of AI Researchers and Engineers to move beyond simple integrations and build true autonomous security solutions.
What You Will Build:
Autonomous Workflows: Build agents that execute security workflows end-to-end, automating detection, investigation, and response processes.
Runtime Defense: Productize research into active runtime guardrails and defensive control mechanisms.
Internal AI Platform: Build the shared infrastructure for models, training, and evaluations to enable safe, scalable AI features across the organization.
Adaptive Intelligence: Oversee the development of models that learn from customer-specific environments to generate high-signal, personalized insights.
Responsibilities:
Lead the AI Research Group, managing AI Researchers, Engineers, and DevOps.
Own the intelligence engine end-to-end, delivering next-generation analytics and contextual visualization features.
Drive the strategic "build vs. partner vs. buy" decisions for cloud prevention and AI controls.
Collaborate with the Threat Team to develop AI-driven threat detections against emerging attack vectors and novel AI threats.

We are seeking a detail-oriented and highly technical Data Operations Specialist to join our Data Operations team for an 6- month maternity leave cover. In this role, you will be responsible for annotating various events on our distinct fiber sensing data, and managing datasets to support various products and projects. You will play a crucial part in ensuring the quality and integrity of our data, contributing to multiple critical initiatives. You will help improve our annotation procedures, techniques, and tooling; and work closely with ML and Algo teams as well as Data Engineering.
This is a unique opportunity to gain hands-on experience in data operations within a dynamic environment using cutting edge and novel technology. You will join a talented team dedicated to leveraging data for impactful projects. If you are passionate about data and eager to contribute to exciting challenges, this might be the perfect opportunity for you.
What Youll Do:
Data Annotation - Accurately annotate datasets using internal tools, adhering to annotation guidelines and maintaining high standards for consistency and quality.
Tool Maintenance - Help maintain team tools, such as annotation tools and automated processes, using Python and Gen AI.
Quality Assurance - Review and validate annotated data to ensure accuracy and consistency, identify discrepancies, and suggest solutions to improve processes.
Continuous Improvement - Participate in the continuous improvement of our tools and data operations processes to achieve more accurate models, and more streamlined data flow between the different teams in the company.
Data Management - Support the ongoing maintenance of annotated datasets, ensuring data integrity and accessibility, and implementing best-practices to create seamless data flows.

we are looking for a Director of AI.
The Director of AI will lead the companys AI organization, including algorithm development teams, embedded algorithm engineers within product squads, and the Data Operations team.
This role combines strategic leadership with execution ownership, driving the development, deployment, and continuous improvement of AI-powered products across power transmission, border security, and critical infrastructure monitoring.
The Director of AI is accountable not only for algorithm innovation, but also for ensuring successful production deployment and measurable customer impact. This leader will establish a customer-first culture across the organization, aligning AI development priorities with customer needs, product objectives, and business outcomes.
The ideal candidate is a visionary yet execution-oriented leader who can bridge cutting-edge AI research with scalable production systems, build high-performing teams, and deliver measurable customer value.
Success in this role will be measured not only by algorithm performance, but by the ability to deliver AI capabilities into production and generate measurable value to our customers.
What Youll Do:
Lead the AI group, including algorithm development teams, embedded algorithm engineers, and data operations.
Build and mentor high-performing teams, fostering a culture of ownership, collaboration, continuous improvement, and customer focus.
Define and execute the AI roadmap in alignment with company strategy, customer needs, and product objectives.
Lead the development and deployment of AI, Machine Learning, Deep Learning, and Signal Processing solutions.
Own the full AI lifecycle, from research and experimentation through production deployment, monitoring, and continuous optimization.
Lead the Data Operations function, ensuring efficient annotation, labeling, and quality processes that support AI development.
Partner closely with Product, Engineering, and business leaders to maximize AI impact across the organization.
Engage with customers and stakeholders to understand challenges, identify opportunities, and drive measurable business value.
Communicate AI strategy, progress, opportunities, and risks to executive leadership.
Contribute to company strategy, product direction, and technology leadership.

We are seeking a talented, self-driven, team-player, passionate Physicist to join our R&D team. In this role, you will develop and advance distributed fiber optic sensing technologies, combining theoretical modeling, simulations, fiber-optics systems design, and hands-on experimental work.
You will tackle complex physical challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative solutions from concept to real-world deployment.
This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world.
What Youll Do:
Experimental and theoretical R&D work for the development of next generation distributed fiber optic acoustic sensing (DAS) electro-optic interrogation systems.
Gain unique end-to-end expertise across the full sensing system pipeline, spanning optical signal generation and propagation, coherent detection, DSP algorithms, and advanced data analysis.
Experimental Work to prove new concepts, develop innovative solutions for new products, and support current generations.
Develop software tools and simulations (Python/MATLAB/C++) for laboratory experiments, field data analysis, signal processing, and system modeling.
Collaborate with multidisciplinary R&D teams and projects.
Communicate effectively with technical and non-technical colleagues.

We are looking for a talented, self-driven, and hands-on Electro Optics Systems Engineer to join R&D team. In this role, you will develop and advance next-generation distributed fiber-optic acoustic sensing (DAS) systems, combining electro-optic system design, performance modeling, simulations, experimental validation, and field data analysis.
You will tackle complex physical and engineering challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative sensing technologies from concept to real-world deployment.
This role is ideal for someone who thrives in a fast-paced, hands-on R&D environment, enjoys working across disciplines, and wants to see their work translate into real-world impact.
What Youll Do:
Lead experimental and theoretical R&D efforts for the development of next-generation distributed fiber-optic acoustic sensing systems.
Design, evaluate, and optimize electro-optic interrogation systems for distributed acoustic sensing applications.
Develop system-level models and simulations for optical signal generation, fiber propagation, coherent detection, system noise, SNR, and sensing performance.
Build software tools and simulations in Python, C++, or similar languages for system evaluation, signal processing, field data analysis, and performance modeling.
Plan, execute, and analyze laboratory and field experiments to validate system performance and support product development.
Gain unique end-to-end expertise across the full sensing system pipeline, spanning fiber optics, electro-optics, coherent detection, DSP algorithms, and advanced data analysis.
Lead product development activities from ideation and proof of concept through design, qualification, validation, and deployment.
Collaborate closely with multidisciplinary R&D teams, including physicists, software engineers, algorithm developers, and hardware engineers.
Communicate effectively with both technical and non-technical stakeholders, translating complex system behavior into clear insights and actionable recommendations.

We are looking for a Full-Stack Engineer to join a unique and highly impactful team.
This team operates across both frontend and backend,
building a core internal platform that powers critical workflows across the company - including R&D, Product, MDR, and Security Research teams. This system is at the heart of how we operate, enabling powerful capabilities and directly impacting day-to-day work across the organization.
This is a highly sensitive and critical system that directly impacts production environments and customer experience, requiring strong ownership and attention to detail.
Youll work closely with real users inside the company, gaining fast feedback loops and high visibility. In addition, the team collaborates with the broader Frontend group and contributes to features in the main product, giving you exposure to both internal systems and customer-facing experiences.
The team is deeply involved in product and design decisions, with strong ownership over user experience, architecture, and technical direction.
Responsibilities:
Design and build end-to-end features across the stack using
React, TypeScript, and Java
Take ownership of features from concept to production, including architecture and implementation
Collaborate closely with Product, Design, and internal stakeholders to define solutions
Work directly with internal users to understand needs and iterate quickly
Contribute to both internal platforms and customer-facing product features
Drive best practices in code quality, testing, and system design
Participate in design and code reviews
Continuously improve performance, scalability, and usability of the system.