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Tech is at the center of everything we do at Fiverr and we're looking for people who are builders at their core. From developers to visionaries and everything in between, we want minds who aren't just interested in putting the pieces together but who can find new ways to innovate. Solid communication, creative problem solving and business understanding are all prerequisites. So, if you're tech savvy, inquisitive, and ready to take the road less traveled, the Fiverr Technology team might be right for you. Join our high-impact engineering team responsible for Fiverr's critical ordering system, a strategic and high-visibility platform. We're looking for a passionate Senior Backend Engineer to step into a pivotal role, ensuring the continued smooth functioning and strategic advancement of this core system.

What am I going to do?:

* Lead significant development projects end-to-end, driving them from conception to on-time delivery within a collaborative small team.
* Act as a key technical resource, providing insightful code reviews and mentorship to fellow developers.
* Collaborate closely with the Director of Engineering and team members on operational processes, daily syncs, and strategic decision-making for the 'feeds' system.
* Serve as a full stakeholder for the team's deliverables, contributing to complex problem-solving and positively impacting team workflows.
* Contribute to improving team quality and engineering practices through active participation in code and design reviews.
* Seamlessly integrate into the team, actively participating in all daily operations and decision-making processes.

Equal opportunities:
At Fiverr, we know that talent has no single face. We welcome talent from everywhere and everyone because it makes everything we build better. Need accommodations? Just ask. And if this role excites you but you don't tick every box, apply anyway. The best people rarely fit the mold exactly.

our company 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 now hiring a talented, self-driven, and passionate Senior DevOps to build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.
What Youll Do:
* Lead the design and architecture of cloud-based data solutions, ensuring scalability, reliability, and performance.
* Design and build data pipelines for field data collection, analysis, and inference using industry production-grade technologies and tools.
* Design and build customer cloud / on-premise data solutions for Storage, lookup, and processing flows.
* Study and incorporate standards for data governance, security, and compliance.
* Provide online and Real-Time monitoring and analysis of data systems health, accuracy, and costs.
* Plan and execute integrations with our edge computing solutions and AI models for both research and production flows.

We are 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 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.
What Youll Do:
* Lead experimental and theoretical R&D efforts for the development of Prismas 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.

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 DSP Researcher to join our Photonics R&D team. In this role, you will research and develop next-generation distributed fiber-optic sensing technologies, focusing on signal processing, system modeling, simulations, and experimental validation. Working at the intersection of physics, electro-optics, fiber-optic sensing, and DSP, you will transform complex physical phenomena into robust sensing solutions for real-world applications. You will tackle challenging physical and algorithmic problems, contribute to cutting-edge sensing products, and collaborate closely with multidisciplinary R&D teams. This role is ideal for someone who thrives in a fast-paced environment, enjoys working across disciplines, and is excited to take ideas from research and lab validation to large-scale deployment.
 
What Youll Do:
* Conduct experimental and theoretical R&D for next-generation distributed fiber-optic acoustic sensing systems.
* Develop, implement, and validate DSP algorithms for coherent optical sensing systems.
* Build end-to-end expertise across the full sensing pipeline, including optical signal generation and propagation, coherent detection, signal acquisition, DSP, and advanced data analysis.
* Design and run laboratory experiments to validate new concepts, improve system performance, and support current and future product generations.
* Develop simulations, models, and analysis tools using Python and/or C ++ for lab experiments, field data analysis, signal processing, and system -level performance evaluation.
* Work with field experiment data to identify performance gaps, validate models, and improve sensing capabilities.
* Collaborate with R&D teams across disciplines to develop, validate, and integrate new sensing capabilities.
* Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

Great IT and security work means nobody notices the bugs because you already squashed them. From cloud engineers to IT operations managers, our team combines technical expertise with a deep respect for what's at stake. So if you're proactive and precise under pressure, the Fiverr Cyber, IT and MIS team might be the right place for you. Join our Cloud Engineering department as a SecOps Engineer and play a critical role in safeguarding our complex, multi-cloud environment. You'll be essential in maintaining our incident response and security Service Level Agreements (SLAs), preventing team burnout, and ensuring our security posture remains robust in a dynamic, fast-paced setting.

What am I going to do?:

* Champion the monitoring and initial triage of security alerts, meticulously investigating potential threats to uphold our SLA targets.
* Own and execute essential daily SecOps tasks, ensuring seamless operations and preventing critical backlogs.
* Serve as a key security liaison for Cloud Engineering peers, facilitating project momentum without overburdening senior staff.
* Configure, fine-tune, and optimize a suite of security tools, maximizing visibility and effectiveness across our cloud infrastructure.
* Dive deep into security events and alerts, identifying vulnerabilities and prioritizing remediation actions with precision.
* Develop and implement automation for routine security operations, including vulnerability scanning, incident triage, and configuration management, to enhance efficiency.

Equal opportunities:
At Fiverr, we're not about checklists. If you don't meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

Prisma Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solutions based on novel fiber-sensing technology. 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 AI, we help protect human lives and keep critical energy. We're seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role you’ll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of today’s energy landscape. This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. You’ll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.

What You’ll Do:

* Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
* Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
* Ensure data quality and consistency for accurate analysis and reporting.
* Conduct statistical analysis and use data visualization tools to present findings.
* Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
* Provide data-driven insights and recommendations to support decision-making processes.
* Interpret and communicate results to customers and management in a clear and concise manner.
* Present key findings of your analysis to customers around the globe.

What You Bring:

* B.Sc. degree in a related field. (M.Sc./Ph.D. is an advantage)
* Experience with AI-native development environments and automation with coding agents.
* At least 5 years of experience in data analysis, business intelligence, or a related field.
* Proficiency in data analysis tools such as SQL, Python (Pandas, Jupyter, Plotly).
* Experience with product management skills, driving data science and data engineering teams, experience with open ended data tasks and explorations.
* Knowledge of statistical analysis techniques and methodologies.
* Familiarity with database management systems and data warehousing.
* Strong data visualization and presentation skills in English (foreign customers).
* Experience with data visualization tools like Tableau, Power BI, Grafana, Python Plotly or similar.
* Excellent communication and teamwork skills.
* A curious mindset and a passion for solving complex problems.

The role is simple to state and hard to do well: make that optimization save more tokens without ever costing output quality or breaking a provider's cache. It's a research-heavy engineering role - you form theories from real traffic and ship the ones that prove out on live customer requests.

Why this role
LLM optimization is a young field with no settled playbook, so the optimizations you invent here are genuinely new - and they ship into production, not a paper. And they matter: real enterprises run enormous volumes of LLM traffic and feel every wasted token, so the work you do lands on live customer requests and solves a problem they actually have. It's about as close to the frontier, and as close to the product, as engineering gets.

LLM optimization is a young field with no settled playbook, so the optimizations you invent here are genuinely new - and they ship into production, not a paper. And they matter: real enterprises run enormous volumes of LLM traffic and feel every wasted token, so the work you do lands on live customer requests and solves a problem they actually have. It's about as close to the frontier, and as close to the product, as engineering gets.

03What you'll do
Invent and ship optimizations. Design new strategies across every layer of a request - prompt and context compression, tool pruning, file and dev-command trimming, semantic caching, cache-prefix stabilization - and take them all the way to the hot path. Each one has to cut tokens on real traffic without degrading output.
Prove every win. Build the evals and the token/quality instrumentation that separate a genuine saving from a plausible-sounding one. An optimization only ships when the numbers back it.
Live in the caching trade-offs. Provider prompt caches only pay off on byte-stable prefixes, and a naive rewrite can cost more than it saves. Knowing exactly when an optimization actually wins - deterministic transforms, per-session decision pins, semantic dedup - is a lot of the job.
Build and own the gateway that runs them. The real-time proxy that carries production LLM traffic - streaming, retries, backpressure - executing every optimization on the live request path.
Keep it fast and deploy anywhere. Defend a tight latency budget on the hot path, and package the whole thing so it installs cleanly into any customer's cloud - AWS, GCP, Azure, containers, Kubernetes - and upgrades without drama.
Own systems end to end. From first commit to code serving live customer traffic - plus the spend-visibility and governance product built on top - with a direct line to the founders.

Build your own pipeline. That means targeted outbound to engineering and platform leaders, starting in the Israeli ecosystem and moving into the US.
Run deals start to finish: demo the product, handle the technical conversation yourself, and carry evaluations through to a signature.
Own the GTM engine: the outbound, the deal process, the playbooks, the collateral.
Get Anyray in front of the right people, on LinkedIn, at meetups and events, and through customers who'll vouch for us.
Grow into leading the whole GTM function. The motion you build is the one you'll run.

Were seeking a Conversational Quality Specialist to help shape and continuously improve voice-based experiences across our platform. This role sits at the intersection of conversation design, AI interaction quality, and cross-functional collaboration. You'll work with product, sales, marketing, and NLP teams to ensure our AI conversations are effective, natural, and engaging.

What Youll Do

Design Engaging Interactions

Create, edit, and optimize prompts, scripts, and dialogue flows that feel intuitive, realistic, and aligned with human communication patterns.

Enhance Demo Experiences

Collaborate with sales and marketing to craft compelling demo conversations that showcase the power of our AI.

Evaluate Conversation Quality

Review real user-AI conversations to assess performance, highlight successes, and uncover improvement opportunities for our core conversation engine.

Define Quality Metrics

Develop and implement conversation quality frameworks and metrics to evaluate effectiveness, user engagement, and learning outcomes.

Support Multi-Language Rollout

Oversee and advise on multilingual implementation to ensure high-quality experiences across regions.

Stay Ahead of the Curve

Keep up with best practices in conversation design, LLM-native UX, voice AI trends, animated avatars, user interaction models and any new technology that is expected in conversations.