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We are looking for an experienced Head of Product to join our team. You will be a key player in navigating the unique challenges of the B2C space while leading our transition into a true Product-Led Growth (PLG) company. This is a highly dynamic, dual-capacity role that requires you to be both a strategic manager and a hands-on contributor. It requires a blend of high-level visionary strategy, organizational leadership, and a "hands-on" technical approach to scaling a product portfolio.

RESPONSIBILITIES:

Team Leadership & KPI Development: Lead, mentor, and build a KPI-driven product team, ensuring all goals and performance metrics are clearly defined, measurable, and tracked to translate complex data into high-impact results.
Vision & Strategy: Take a major part in planning and articulating the companys long-term product strategy, driven by market dynamics, competition and long term vision for Spines.
Hands-On PLG Strategy: Develop, implement, and actively execute a Product-Led Growth strategy alongside your team to drive user acquisition, engagement, and retention for our B2C audience.
Roadmap Ownership: Own the product roadmap, prioritize features, and personally drive execution while balancing speed and quality.
Market & User Insights: Conduct market research and user analysis to identify opportunities for product innovation and improvements.
Data-Driven Optimization: Define key measurements and monitor product performance against key metrics to optimize product effectiveness.
Cross-Functional Collaboration: Collaborate with cross-functional teams including C-level, developers, designers, Operations, and marketing.
Knowledge Hub: Create a knowledge center and knowledge sharing process, keeping all relevant constituents updated on product capabilities and best-practices.
Experimentation & Growth: Drive user testing and experimentation to refine product features and ensure impactful releases.

In this role, youll take full ownership of product initiatives end-to-end, from identifying opportunities and shaping strategy to launching, testing, and continuously improving AI-driven experiences.

Youll work closely with engineering, design, data science, and growth teams to deliver AI features that improve onboarding, engagement, retention, and user value.

What Youll Do

Own AI product features from discovery through launch and continuous improvement
Identify user problems and translate them into clear product requirements, experiments, and success metrics
Build and ship AI-powered capabilities using LLMs, personalization, recommendations, and automation
Drive Product-Led Growth through smarter onboarding, activation, engagement, and retention experiences
Partner closely with engineers, designers, and data scientists to bring AI solutions to life
Run experiments, including A/B tests, prompt iterations, model improvements, and funnel optimizations
Use data, user research, and market insights to make fast, high-quality product decisions
Use AI design and prototyping tools to quickly explore product ideas, while applying strong UX/UI judgment to refine flows, evaluate quality, and ensure a polished user experience

Working in Product means making bold decisions with the data you have. You're the type that always asks, “Is there a better way?” From product managers to designers to researchers, the people who thrive here are strategic by nature, curious by default, and comfortable sailing without a full map. So if you challenge assumptions and know how to bring multiple stakeholders together, the Fiverr Product team might be your place.

What am I going to do?:
Make an impact: Drive outcomes across the Fiverr marketplace for clients and freelancers alike — but expect the specific area you own to shift. Where you focus is set by our strategic Bets, and those change as the Bets change. Lead a multidisciplinary team: Collaborate with engineers, designers, and data scientists to drive product delivery and innovation. Turn data into decisions: Define how we collect, validate, and use the signals that power the product — translating data into reliable inputs for better decision-making. Drive the end-to-end user experience: Continuously improve the surfaces and flows that users rely on, from onboarding to ongoing engagement. Develop and execute roadmaps: Create strategic product roadmaps and lead their execution, balancing short-term delivery with long-term platform thinking. Collaborate across teams: Work with stakeholders across the organization to align on a shared direction and amplify impact. How we actually work: Fiverr's product org runs on strategic Bets — leadership sets a small number of company-wide Bets each half, derived directly from our OKRs, and most of our capacity flows there. Teams get assigned to whatever Bet most needs them next, not necessarily their "home" domain. That means the traditional model — a fixed squad with permanent mission and task ownership — doesn't really apply here. Scope, team composition, and priorities move as the Bets move, sometimes mid-cycle. You're joining a team and a mission-driven org, not a fixed job description, and the right person for this role reads that as the exciting part, not the risky part.

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.

we are looking for a Backend Team Lead.
As a Backend Team Leader , you will lead a team of backend and MLOps engineers that owns the systems behind our AI-driven product features. Your team works closest to our AI group - the Algorithms and Data teams - and owns the engineering side of turning models into reliable production capabilities.
Concretely, that means owning real backend architecture - the services and APIs that carry AI-driven capabilities into the product, the data collection pipelines that feed model training, the storage and query layers that hold model outputs and the insights we derive from them, and the validation pipelines that let us trust production flows. You will make the core design decisions on service boundaries, data models, event flows, and scale and cost tradeoffs, in a domain where both the data volume and the correctness bar are high. You do not need to arrive as an ML expert. You do need to be the kind of engineer who walks into an unfamiliar domain, learns it properly, and starts making good decisions in it.

we are looking for a Engineering Team Lead.
Responsibilities:
Lead, mentor, and grow a cross-functional team of backend, frontend, and research engineers.
Act as a hands-on technical leader: design critical systems, write production code when needed, and set a high engineering bar.
Own backend systems end-to-end, from architecture and design through implementation and production delivery.
Drive technical direction and architectural decisions for large-scale cybersecurity platforms.
Lead the delivery of complex LLM- and agent-based solutions to production, ensuring they meet enterprise standards for reliability, scalability, security, and observability.
Partner closely with Product, Research, and Client Services to translate complex technical challenges into clear, high-impact product capabilities.
Ensure backend systems are built with a strong emphasis on security, correctness, and long-term maintainability.
Review code, guide design decisions, and promote best practices across the team.
Foster a culture of ownership, collaboration, and continuous improvement.

we are looking for a Senior Backend Enginee.
As a key member of our backend team, you will act as a pragmatic builder who designs, builds, and operates the future of our platform from the ground up. We value a low-ego mindset and a passion for solving deep technical challenges in a fast-paced, collaborative environment.
Responsibilities:
Backend Development: Design and build high-performance services using Python, FastAPI, and asynchronous workers.
AI Orchestration: Develop and maintain complex agent workflows, including RAG pipelines and autonomous orchestration.
Infrastructure & DevOps: Own the full deployment lifecycle, including containerization and scaling workloads on Kubernetes (EKS).
Workflow Management: Utilize Temporal to ensure durable and reliable workflow orchestration.
Data Persistence: Manage PostgreSQL databases and write migrations using Drizzle ORM to support evolving platform needs.
Engineering Culture: Lead architectural discussions, participate in deep-dive code reviews, and drive incident response.

We're looking for our first DevOps Engineer to join our core team and establish the foundational infrastructure and practices that will scale revolutionary container security platform.
Responsibilities:
Design, implement, and manage scalable cloud infrastructure on AWS to support our security platform, using Terraform and other infrastructure automation tools
Lead the deployment and management of containerized environments and microservices using Docker and Kubernetes
Design and build robust CI/CD pipelines using modern tools and methodologies to support rapid, secure deployments
Establish comprehensive monitoring, logging, and alerting systems to ensure platform reliability and performance
Work closely with engineering, product, and security teams to ensure seamless integration between development and operations

We're looking for a Senior Product Manager to own a core area of platform. You'll work closely with engineering, security research, and customers to get there.
Responsibilities:
Shape what your area builds next, backed by customer and market signal.
Work with engineering to take ideas from concept to shipped product, fast.
Use product and usage data to find the biggest opportunities for growth and impact.
Talk to customers directly to understand where the product can go further for them.
Own the numbers that show your area is scaling: coverage, adoption, automation, or the equivalent for your domain.

Were looking for a Senior Product Manager to own and scale image factory. Youll design systems that handle artifact updates automatically and reliably at scale.
Responsibilities:
Own the product roadmap for image factory - the internal system that builds, tests, and releases images, libraries, packages, and charts at scale.
Work with DevOps, platform, and backend engineers to define and prioritize internal tooling and workflows that increase automation, reliability, and throughput across the build pipeline.
Turn operational pain points into product requirements that reduce manual work and streamline releases.
Use build and dependency data to identify bottlenecks, measure performance, and guide continuous improvement.
Ensure the factory evolves to support thousands of images, hundreds of thousands of tags, and millions of libraries with consistency and speed.

we are looking for a Senior Backend Developer.
This is a highly autonomous role. You'll work independently, taking full ownership of complex, end-to-end initiatives from initial scoping all the way to production. You'll build and evolve the backend services that power data platform, enabling reliable, scalable, and efficient data processing across the organization.
Take ownership of complex services and features, working independently to deliver high-quality solutions and use AI coding tools (Claude Code, Copilot, etc.) as a natural accelerant in your daily workflow
Play a key role in refactoring systems to build more robust, scalable, and streamlined services, including deep infrastructure work and modern service architecture leveraging AI-assisted analysis and code generation where it adds real value
Design and build core micro-services, laying the foundation for our product and internal platforms
Collaborate with product managers, architects, and other developers to understand requirements and translate them into technical specifications
Stay current with the rapidly evolving AI tooling landscape proactively evaluating new models, prompting strategies, and AI-assisted workflows that can meaningfully improve how the team builds

In this role, as Embedded Software Team Leader, you will lead a team owning a key part of NPU AI software stack, a complex, multi-layered system spanning the Host (SDK, runtime, APIs, and UMD/KMD drivers) and the NPU IP (embedded firmware). This stack is at the heart of the AI software offering, with deep impact on multiple hardware and software teams ability to execute state of the art LLM, Generative AI and Neural Networks with extraordinary performance. Reporting to the AI Software SDK Senior Team Leader, you will lead a team of creative and result oriented enthusiasts that invent, design, and implement software that enables smooth connectivity between the NPU and Host CPU.



Responsibilities:

Lead and manage the Embedded Software engineering team, ensuring high performance and productivity.

Own the design, development, and implementation of your component within NPU AI software stack, aligned with the AI Software SDK group's technical strategy, architecture, and roadmap and its automated CI and release process.

Collaborate with cross-functional teams to integrate solutions. Provide technical guidance and mentorship to team members.

Ensure project timelines and deliverables are met.

Conduct performance reviews and support professional development of team members.

Collaborate globally with architects, HW teams, NPU teams, and other developer teams

We are looking for a Senior Data Scientist to join AI team, the team behind underwriting decisions, quote-time risk scoring, and portfolio analytics.
In this role, you will own entire research directions: framing the problem, deciding what's worth measuring, designing the approach from first principles, and turning
the result into production signal. The work is production-oriented applied research on hard, real-world datasets where standard recipes don't apply and the right method
often has to be invented for the problem.
What You'll Do:
- Own open-ended research directions end-to-end - from a vague business question to a deployed, validated signal.
- Work across the team's core research areas - risk modeling, environmental and catastrophe modeling, and behavioral modeling - translating complex real-world processes
into reliable predictive signal.
- Deeply investigate existing production models - understand what they actually learn, where they break, and where the headroom is; identify and ship optimizations
grounded in that understanding.
- Design approaches from first principles when off-the-shelf methods don't fit the data.
- Build rigorous evaluations and own the result in production, not just the notebook.
- Document research clearly so findings are reproducible, auditable, and compound over time.

we are looking for a Senior Full Stack Engineer with a backend-oriented mindset to join our growing R&D team.
In this role, youll be responsible for connecting high-scale data infrastructure with our customer-facing portal-turning complex, runtime telemetry into fast, intuitive, and intelligent user experiences. Youll work closely with product, design, and Data pipeline and security engineers to build data pipelines, APIs, and integrations that make platform both powerful and delightful to use.
This is a hands-on role at the intersection of backend systems, high scale data engineering, and user experience, shaping how massive volumes of runtime data flow through data-driven platform.
Youll Be Great For This Role If You Love To:
Design and implement efficient data pipelines and backend integrations that connect our high-scale data to the user-facing portal.
Build and optimize APIs, data services, and caching layers to ensure fast and reliable data access.
Use data modeling, denormalization, and performance optimization to handle complex queries and large datasets effectively.
Collaborate closely with frontend engineers, product managers, and designers to ensure data flows seamlessly into intuitive UI components.
Contribute to the architecture and scalability of hybrid cloud-native platform.
Write clean, testable, production-ready code in Python, Node.js, TypeScript, and React, while keeping performance and maintainability top of mind.
Stay close to users and product feedback loops - helping translate technical insights into better experiences.
Own end-to-end delivery, from backend design through deployment using CI/CD, Temporal, and Kubernetes.

we are looking for a WAF Security Specialist.
What You'll Do:
Create - Produce production WAF rules across providers for high-impact CVEs and customer findings - driving the Copilot harness on most of them, writing the expression yourself on the hard ones (no public PoC, exploitable path reasoned out of a patch diff, urgent customer coverage). Your rules ship, and they set the bar generated rules are measured against.
**Optimize -**Tighten generated rules for real production constraints: WCU and rule-capacity budgets, latency, provider expression limits, and the anchoring required for a rule that fires against all traffic behind a shared Web ACL - not just the vulnerable app.
Validate - Own the adversarial pass. Build exploit variants the PoC doesn't cover, hunt bypasses in our own rules, and run the false-positive side seriously - verifying against how the legitimate client actually behaves on the wire, not against an assumption.
Monitor - Watch deployed rules in production: false-positive signals, hit patterns, coverage drift as managed rulesets shift underneath us, and the log→block promotion decision. Retire what no longer earns its capacity.
Make it reproducible - Turn every finding into a regression test. Build and curate the golden CVE datasets and scoring rubrics that gate whether a new Copilot version ships.
Set the coverage line. Judge which CVEs are genuinely WAF-mitigatable and which aren't, and make the call on what enters and leaves our managed rulesets - with the reasoning written down.