לוח משרות דרושים הייטק תוכנה

A growing start-up company is looking for a Product Manager with strong SaaS experience to lead the full product lifecycle - from research and strategy to design, delivery, and launch. Youll collaborate with R&D, Design, Marketing, Sales, and Algorithm teams to define and deliver high-impact features that bring real value to our customers.

The company is located in Yokneam Ilit, working in a hybrid model.



Responsibilities

Own the product roadmap and lifecycle from concept to release.
Translate business needs and user insights into clear, actionable requirements.
Prioritize and manage the product backlog to ensure timely, high-quality delivery.
Drive data-informed decisions and define key success metrics.
Conduct market and competitive analysis to identify opportunities.
Support go-to-market and launch activities across teams.

we are looking for a Cloud Support Engineer.
The Cloud Support Engineer will oversee, troubleshoot, and optimize cloud infrastructure clients. This position requires deep knowledge of cloud operations, security, and performance optimization, along with a commitment to delivering outstanding support. The engineer will work directly with clients to ensure operational reliability, respond to incidents, and support secure migrations and optimizations.
Responsibilities:
Support & Troubleshooting:
Provide 24/7 monitoring of cloud infrastructure using NOC, proactively identifying and resolving issues to maintain high availability and system reliability.
Client Collaboration:
Act as the main point of contact for cloud-related inquiries, providing real-time troubleshooting support and practical guidance.
Security & Compliance:
Implement and monitor security protocols, including firewalls, access controls, and encryption, to protect client environments from vulnerabilities.
Conduct security assessments, manage access controls, and ensure that client environments meet industry standards and compliance requirements.
Documentation & Reporting:
Maintain comprehensive documentation of troubleshooting steps, configurations, and best practices.

A fast-growing fintech AI start-up company, focused on eliminating fraud and chargebacks in online commerce, is looking for an experienced Senior Data Engineer.

In this Roll, you will build large-scale, cutting-edge data solutions for fraud prevention, with the potential to grow into a technical leadership role.

The company is located in Modi'in, central Israel. Hybrid work model.



Responsibilities

Build and maintain scalable data pipelines and ETL processes.
Design complex data models and optimize data architecture.
Collaborate with teams to deliver high-quality, compliant solutions.
Troubleshoot production issues and implement best practices.
Recommend new technologies to enhance the data infrastructure.

We are looking for a Senior Python Developer to join our R&D team specializing in anonymous communication technologies
Develop backend systems in Python using microservices architecture and lead development packages
Manage and automate anonymous communication solutions including the operation and maintenance of diverse assets
Design and initiate innovative and creative anonymous communication solutions
Availability for on - call support in team rotations and during nights, weekends and holidays.

A Software company in Tel Aviv is hiring an Applicative and Infrastructure DBA to join it's development department.

Responsibilities:

Database development and management of a large SaaS system serving hundreds of thousands of users.
Offer support for production systems, including database monitoring, tuning, and troubleshooting.
Demonstrate strong interpersonal and communication skills, contributing positively as a team player.

we are looking for a Technical Support engineer to join us!
The Technical Operations Team acts as a bridge between Customer Support and R&D.
We investigate and analyze issues, escalate bugs to development when needed, and support engineering in reproducing and resolving them.
The team also manages our HubSpot platform and maintains our public API documentation.
We're looking for a hands-on, curious, and resourceful technical support professional to join us!
What you'll do:
Investigate complex tickets and edge cases
Communicate with users and developers working with our API
Collaborate with support, dev, and product teams
Report bugs and help dev teams reproduce them
Manage the HubSpot database and monitor syncs
Maintain and own the public API documentation
Run scripts for HubSpot integrations
Use Databricks and logs to identify and diagnose issues quickly

abra R&D is looking for a Senior Embedded Engineer! abra R&D is looking for an Embedded Engineer to help build the first real-time database purpose-built for AI agents at scale. Designed around time-series and unstructured data, it leverages a custom storage format optimized for append-heavy, real-time workloads. Joining the team means working on a high-performance execution engine built with vectorized execution, SIMD, and cache-efficient memory layouts, enabling extreme low-latency and high-throughput performance at scale. The system is engineered to fully utilize modern hardware, with deep optimization across CPU cache layers (L1 / L2 / L3), pushing the limits of real-time data processing. What You’ll Do
* Design and implement core components of the database engine (query engine, execution engine, storage engine)
* Build vectorized execution pipelines optimized for SIMD
* Design and evolve a time-series optimized storage engine (custom on-disk + in-memory formats)
* Work on unstructured / event-driven data representations and efficient indexing/querying strategies
* Own memory layout, compression, and data defragmentation
* Develop cache-aware / cache-efficient data structures with deep understanding of CPU cache behavior
* Implement distributed data primitives: sharding, partitioning, replication, and data locality
* Profile and optimize performance at the CPU level (cache misses, branch prediction, memory bandwidth)

abra R&D is looking for a Data Scientist! abra R&D is looking for a Data Scientist who will take part in building the next?generation Database built from scratch for AI Agents agentic analytics platform that enables data?driven decision making on large?scale, real?time data. The product focuses on extracting insights, understanding patterns, and supporting decisions through advanced analytics, experimentation, and statistical modeling. The Data Scientist role focuses on analysis, modeling, experimentation, and insights , rather than low?level algorithm or infrastructure development. What you’ll do:
* Analyze large?scale structured and unstructured datasets to extract actionable insights
* Build and evaluate statistical and machine learning models to support analytics and decision systems
* Apply causal inference methodologies to understand relationships in data and measure impact
* Develop time?series models for forecasting, trend analysis, and anomaly detection
* Define statistical methodologies used across analytics and decision?making processes
* Design and analyze experiments (A/B tests, uplift modeling, evaluation frameworks)
* Create data?driven feedback loops to improve product decisions
* Collaborate with AI and engineering teams to translate analytical insights into product features
* Communicate findings clearly to technical and non?technical stakeholders

abra R&D is looking for a AI Engineer! abra R&D is looking for an AI Engineer that will take part of building a next-generation agentic analytics platform powered by a real-time, AI-optimized data infrastructure. We are looking for an experienced AI Engineer to design, build, and deploy intelligent systems that operate at scale and in real time. This role is hands-on and product-oriented, focusing on developing, integrating, and productionizing AI and machine learning models as part of a complex, high-performance platform. What You Will Do:
* Design, develop, and deploy AI and machine learning models into production systems
* Build scalable AI services that operate on large-scale and real-time data
* Implement deep learning and machine learning solutions using modern frameworks
* Integrate AI models into end-to-end product flows and backend systems
* Collaborate closely with software engineers and AI teams to deliver production-ready solutions
* Optimize model performance, reliability, and scalability in real-world environments
* Develop and maintain data pipelines and model-serving infrastructure
* Contribute to the evolution of AI-powered, agent-based systems and analytics capabilities

abra R&D is looking for a Backend Platform AI Engineer! ab ra R&D is looking for a Backend Platform Engineer to help build the next?generation Database built from scratch for AI Agents This role focuses on building the developer-facing platform around the core database engine- enabling seamless integration with AI agent frameworks (LangChain, PydanticAI, and others), as well as external systems via connectors, plugins, and SDKs What You’ll Do
* Design and build MCP APIs and core backend services
* Develop and maintain SDKs (Python, TypeScript, Go, Rust)
* Build connectors and plugins for AI agent platforms (LangChain, PydanticAI, others)
* Design clean, scalable, and ergonomic developer-facing APIs
* Own integration infrastructure (auth, streaming, event pipelines, webhooks)
* Build and optimize real-time data flows between agents, services, and the database
* Collaborate closely with database engineers to expose powerful capabilities through well-designed APIs
* Ensure reliability, observability, and performance of all external-facing systems

abra R&D is looking for a Senior Embedded Engineer! abra R&D is looking for an Embedded Engineer to help build the first real-time database purpose-built for AI agents at scale. Designed around time-series and unstructured data, it leverages a custom storage format optimized for append-heavy, real-time workloads. Joining the team means working on a high-performance execution engine built with vectorized execution, SIMD, and cache-efficient memory layouts, enabling extreme low-latency and high-throughput performance at scale. The system is engineered to fully utilize modern hardware, with deep optimization across CPU cache layers (L1 / L2 / L3), pushing the limits of real-time data processing. What You’ll Do
* Design and implement core components of the database engine (query engine, execution engine, storage engine)
* Build vectorized execution pipelines optimized for SIMD
* Design and evolve a time-series optimized storage engine (custom on-disk + in-memory formats)
* Work on unstructured / event-driven data representations and efficient indexing/querying strategies
* Own memory layout, compression, and data defragmentation
* Develop cache-aware / cache-efficient data structures with deep understanding of CPU cache behavior
* Implement distributed data primitives: sharding, partitioning, replication, and data locality
* Profile and optimize performance at the CPU level (cache misses, branch prediction, memory bandwidth)

abra R&D is looking for a FullStack Engineer! abra R&D is looking for a FullStack Engineer who will take part in building a next-generation agentic analytics platform, a real-time database optimized for AI agents at scale. We are looking for a Full Stack Engineer to build user-facing products and internal tools on top of our AI and data platform. This role combines frontend, backend, and product thinking, with strong ownership over design and implementation. What you’ll do:
* Build and own end-to-end features across frontend and backend
* Develop modern web applications using React and TypeScript
* Design and implement backend services using NestJS
* Translate product and UX requAirements into clean, scalable system designs
* Work closely with AI and platform teams to integrate agent-driven capabilities into products
* Build data-rich interfaces for analytics and real-time systems
* Ensure performance, reliability, and usability across the stack

Were looking for a Staff Application Security Engineer to join our IT and Security team. This role is ideal for a hands-on security professional who is passionate about working closely with engineering teams to design secure software, fix vulnerabilities, and promote a culture of security across the organization.

Youll be responsible for shaping and owning our Secure Software Development Lifecycle (SSDLC), managing security tooling, and leading the assessment of application and API security across our products and services.

Here are a few of the things you will do:
Collaborate directly with engineering teams to define remediation strategies, track implementation, and validate security fixes across the application stack.

Design, implement, and drive SSDLC practices across the company-from security design reviews and threat modeling to proactive triaging in production.

Conduct threat modeling, architecture reviews, and security assessments of cloud-based applications and services, including those leveraging emerging technologies.

Manage HoneyBooks bug bounty program, validating reports and coordinating response and resolution.

Own and operate our suite of AppSec tools including SAST, ASPM, and other security scanners-triaging findings, prioritizing issues, and guiding engineering toward resolution.

Review source code and applications to identify vulnerabilities and collaborate with dev teams on remediation.

Act as the point of contact for findings from penetration tests, automated scanners, and external assessments, helping manage triage and ensure timely fixes.

Continuously research and stay current with application security trends, frameworks, vulnerabilities, and best practices.

Promote a strong security culture across HoneyBook by educating and enabling engineers, architects, and DevOps teams to build secure software from the ground up.

Here are a few of the things you will do:
Play a critical role in our strategic AI initiatives, influencing product vision and customer experience.
Live and breathe the entire company`s codebase, from the backend bytes to the frontend bits.
Own your features from product design, through tech design all the way to production and customer usage.
Work as part of a Full Stack agile squad, working in high velocity, delivering great quality.
Inspire others. Lead by example and make sure our users get the fabulous experience they deserve.

We are on the search for a Marketing Data Analyst who will join our Data team in Tel Aviv. As a Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision-making processes throughout marketing budget decisions, new user journeys, be a partner to cross-functional teams within data, marketing & Top of Funnel, and drive strategic business decisions that shape the direction of the company.

Here are a few of the things you will do:
Own end-to-end analytics for marketing and product growth initiatives, directly supporting business strategy and growth, including and not limited to acquisition, lifecycle, and user onboarding.
Act as the primary data owner for the planning, monitoring, and measuring a variety of marketing initiatives, ensuring accuracy, consistency, and trust in decision-making across stakeholders, enabling your stakeholders to learn from data and iterate with confidence.
Translate complex datasets from multiple sources into clear, actionable insights with measurable business impact.
Proactively initiate and perform ad hoc research and deep-dive analyses to surface unknown business opportunities to inform strategic and operational decisions.
Partner with marketing, product, finance and company leadership to drive cross-functional, data-driven outcomes.
Design, improve, and scale analytics infrastructure, data pipelines, and workflows to suit your analytics needs; work hands-on using tools such as SQL, DBT, Looker, and partner closely with Data Engineering and Data Science teams.
Design, execute, and evaluate A/B tests using rigorous statistical methods and well-defined KPIs, including ownership of appropriate KPI selection.
Present insights and recommendations to senior stakeholders with clarity and influence, through written communication, presentations, and via dashboards.
Contribute expertise to shared analytics standards, best practices, and knowledge forums (e.g., Data Guild).