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we are looking for a Sales Engineer.
As a Sales Engineer , you will act as the technical expert and trusted advisor throughout the sales cycle. Youll partner closely with Sales, Product, and Engineering to demonstrate value, translate customer needs into technical solutions, and help close strategic deals.
Responsibilities:
Partner with Account Executives throughout the full sales cycle, from discovery to close
Lead technical discovery calls to understand customer environments, challenges, and requirements
Deliver compelling product demos and presentations tailored to customer use cases
Design and explain technical solutions that align with customer needs and business goals
Answer technical questions, handle objections, and support RFPs / security questionnaires
Act as the voice of the customer, providing feedback to Product and Engineering teams
Support proof of concepts (POCs) and trials, ensuring successful evaluations
Stay up to date on Echos product, roadmap, and competitive landscape

we are looking for a Senior Backend Engineer with a strong passion for AI and intelligent systems to join our growing R&D team.
In this role, youll be building the backend foundation that powers our AI-enhanced security analytics, autonomous detection, and real-time decisioning systems. Youll work closely with AI engineers, product, and security experts to bring agentic intelligence into runtime platform - transforming how modern apps defend themselves.
Youll architect and implement services that scale to massive volumes of runtime data, integrate large language models (LLMs), and support RAG-based workflows for contextual understanding and response.
Youll Be Great For This Role If You Love To:
Design and build scalable, resilient backend services that power AI-driven runtime security platform.
Integrate LLMs and agentic AI components into production environments to enable autonomous detection and remediation capabilities.
Design evaluation frameworks for measuring model performance and reliability in real-world conditions.
Develop Retrieval-Augmented Generation (RAG) pipelines tailored to application security data.
Own backend architecture decisions - from data modeling to performance optimization - across Node.js, Python, and cloud-native environments.
Contribute to our infrastructure, leveraging CI/CD, Kubernetes, Docker, and modern observability practices.
Mentor peers and help shape AI engineering culture.

We're looking for an AI Tech Lead to own that standard across three surfaces:
The platform - Today each agent flow is close to a bespoke implementation. You'll turn our hard-won patterns into shared components, conventions, and infrastructure so the next agent is a week of work rather than a quarter - with evaluation, observability, and cost control built in rather than bolted on.
Enablement - Miggo's advantage compounds only if the whole company is AI-fluent, not just R&D. You'll raise that fluency everywhere - engineering, research, product, GTM - through tooling, patterns, and teaching.
The voice - You'll publish the methodology: how we benchmark agentic security output, how we model residual risk, what we learned failing. This is a category-defining position and we want it argued in public.
This is a hands-on lead role with no direct reports. Your authority comes from the quality of what you build and how clearly you explain i

we are looking for a Senior AI Agents & Full-Stack Engineer.
What You'll Do:
Build advanced AI agent systems for creative and marketing workflows
Design and implement scalable backend services in Python
Develop frontend experiences using React and TypeScript
Work closely with AI researchers, product leaders, and designers
Help shape the architecture and direction of a new product from its earliest stages

we are looking for a AI Engineer - Algorithm Team.
As an AI Engineer, you will join a fast-moving, highly technical team that works at the intersection of computer vision, deep learning, and modern AI. You will be the driving force behind our LLM and agentic AI efforts - exploring, evaluating, and deploying the latest research and tooling in this rapidly evolving space, and shaping how we apply it across the organization to turn cutting-edge ideas into production-ready tools and agents.
You will design and build LLM-powered applications, agentic workflows, and internal tools that empower our algorithms, mapping, and engineering teams to move faster and operate at greater scale. Collaboration is central to the role, you will work closely with researchers, engineers, and domain experts to identify high-impact opportunities, prototype quickly, and integrate reliable AI systems into real-world products.
Key Responsibilities:
Design, build, and iterate on LLM-powered applications, including retrieval-augmented generation (RAG) systems, agents, and fine-tuned models tailored to unique data and workflows.
Develop agentic workflows that automate complex, multi-step tasks across research, data analysis, and engineering pipelines.
Build internal tools and assistants that empower algorithm researchers, mapping experts, and engineers to work faster and more effectively.
Evaluate and integrate the latest foundation models, frameworks, and techniques (e.g., prompt engineering, fine-tuning, tool use, multi-agent orchestration), keeping pace with rapid advances in the field.
Design robust evaluation methodologies to measure quality, reliability, and safety of LLM-based systems.
Collaborate closely with the Algorithms, Mapping, and Software teams to identify high-impact opportunities and transition prototypes into reliable, production-grade systems.

We are looking for a Hardware Team Lead to own our electrical hardware from the first rough prototype all the way to a product that holds up in the field. You will lead a team of hardware engineers who work across most of what we build: board design and hands-on investigation, ultra-sensitive sensors, power circuits for our transmitters, RF and noise-sensitive systems, high-speed digital and communication, ADCs, DACs, and more.
We move fast, and that is a big part of the fun here. Quick prototypes and rough bring-ups are how we learn. Your job is to keep that speed, but make sure that when something proves itself it stops being a prototype and becomes real engineered hardware: reviewed, testable, documented, and built to be manufactured. You set the engineering bar, make the calls on design, and own the work we send to external design houses and suppliers, so that outsourced never means unowned.

We are looking for a Systems Engineer to take ownership of complex multidisciplinary systems from early definition through integration, validation, and field deployment.
In this role, you will bridge hardware, software, algorithms, sensing, and mechanical engineering, ensuring that every part of the system works together to deliver reliable performance in real-world environments. This is a hands-on position that combines technical depth with a broad system perspective, where you will work closely with a small, experienced team to solve challenging engineering problems and drive innovative

We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025.
Job description:
Assemble and install electro-mechanical systems according to technical and engineering specifications.
Troubleshoot technical issues in real-time during the assembly process.
Follow specifications and work instructions, maintaining compliance with quality and safety standards.
Work under pressure and coordinate tasks with other team members and departments.

Prisma-Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art machine learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly.
We are looking for a talented, self-driven, and hands-on Electro Optics Systems Engineer to join Prisma Photonics’ 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.

Hiring Manager:
Eyal Hollander

What You’ll Do:

* Lead experimental and theoretical R&D efforts for the development of Prisma’s 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.


What You Bring:

* BSc or MSc in Physics, Optical Engineering, Electrical Engineering, system engineering or a related field.
* At least 4 years of experience in multidisciplinary electro-optic systems, either as a Systems Engineer or in hands-on electro-optic, fiber-optic system design, integration, testing, or performance evaluation.
* Experience with noise analysis, including phase noise, detector noise, amplifier noise, SNR, and related system performance metrics.
* Experience with advanced optical measurement techniques, laboratory setups, and system characterization.
* Strong programming skills in Python, C++, or similar languages.
* Excellent analytical and problem-solving skills, with the ability to connect physical phenomena, system behavior, and data-driven insights.
* Strong communication skills and the ability to work effectively both independently and as part of a multidisciplinary team.
* Ability to manage multiple projects and priorities in a dynamic, fast-paced environment.


Great to Have:

* Knowledge in digital signal processing.
* Experience with telecom optical systems or