לוח משרות דרושים הייטק תוכנה

Requirements:
What we need to see:

B.Sc./M.Sc. in Electrical Engineering or Computer Science or equivalent experience.

8+ years in Information Technology industry with a focus on program management.

Proven customer and technical savvy born of implementing sophisticated programs deploying servers in data-centers.

Supreme leadership skills across broad and diverse cross-functional teams.

Strong analytical and problem-solving skills.

Experience leading global projects.

Travel <5%.

Ways to stand out from the crowd:

Extensive experience in leading programs with external customers on deploying computing servers at large data-centers with high-reaching goals and timelines.

Consistent track record of working cross-functionally with multiple partners distributed across the globe.

Understanding and knowledge of cloud technologies such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure including GPU computing and networking architecture.

Requirements:
2+ years experience as a Sales Development Representative or similar role from a B2B software/SaaS company.
Hands-on experience with multiple sales techniques (including cold calls and cold reach-out).
Experience working with platforms such as SF, Hubspot and/or others
Track record in achieving & exceeding sales quotas.
Excellent written and verbal communication skills in English - A must!
Good understanding of sales performance metrics.
Ability to perform well in a dynamic, rapidly changing environment.
Proven ability to work cross-functionally within a team-oriented environment.
Dynamic, high energy, written and interpersonal communication skills.
Ability to work in a vibrant sales team environment as a team player.

Requirements:
What we need to see:
B.Sc. in Electrical Engineering or Computer engineering or equivalent experience.
1+ years of practical experience.
Exposure to rtl implementation and coding.
Familiarity with verification tools.
Strong debugging, problem solving and analytical skills.
Strong communication and social skills are required.
Ability to work in a geographically diverse team environment.
Self motivated, independent and target oriented.

Ways to stand out from the crowd:
Prior Design or Verification experience.
Experience in developing sophisticated design blocks.
Integration of design elements to large cluster or full-chip.
Experience in working with back-end on area, power and timing closures.
Scripting ability.

Requirements:
6+ years of data engineering experience
2+ years of experience in leading data teams
Proven track record in managing cross-functional dependencies, roadmaps, and planning.
Deep understanding of big data architectures, modeling and processing design patterns.
Experience with cloud-native (e.g., AWS) infrastructures.
Experience modernizing legacy data systems.
Familiarity with OSS Lakehouse architectures (Delta/Iceberg).
Familiarity with event-driven systems.

Requirements:
3+ years of software engineering experience, with at least 2 years in Python.
Experience building back-end services using microservices architecture.
Proficiency with both SQL and NoSQL databases.
Strong background in designing scalable, distributed systems.
Hands-on experience in CI/CD environments and modern testing frameworks.
Solid understanding of TDD and a quality-first engineering mindset.
Excellent communication skills in English.

Requirements:
* Bachelor's degree in Computer Science, engineering, or a related field (or equivalent work experience).
* Minimum of 5 years of experience in JAVA development. 2 years experience with Node.js and Python Object-Oriented Design (OOD)
* Experience with AI agents workflows.
* Hands-on experience in designing and developing applications using JAVA EE platforms.
* At least 3 years of experience with infrastructure-related tasks, with a strong focus on CI/CD processes, preferably via Jenkins.
* Solid understanding of the software development lifecycle and agile development methodologies.
* Experience with AWS container services, specifically Elastic Container Registry (ECR) and Elastic Container Service (ECS).
* Excellent knowledge of Relational and NoSQL Databases
* Hands-on experience with AWS services like EC2, S3, DynamoDB and ElasticBeanstalk.
* Experience with GCP, specifically with BigQuery and Google App Engine - is an advantage.
* Strong analytical and problem-solving skills, with the ability to identify and mitigate risks.
* Fluent level of English (written and verbal skills).
* Can-do attitude and a proactive approach to problem-solving excellent communication and interpersonal skills.

Requirements:
What It Takes:
5+ years of hands-on experience as a BI or data Analyst, preferably in a product or technology-driven company - Must Advanced SQL proficiency, comfortable querying large, complex datasets across multiple data sources - Must.
* Proven experience building dashboards and reports using BI tools such as Looker, Tableau, PowerBI, or Metabase - Must.
* Experience with modern data stacks (dbt, Airflow/Fivetran, BigQuery/Snowflake) - Must.
* Experience with Python or another scripting language for data analysis and automation - Must.
* Strong analytical thinking and data storytelling skills, ability to distill insights and communicate them clearly to both technical and non-technical audiences.
* Demonstrated experience working with cross-functional teams (e.g., R&D, Product, Finance, Operations).
* Strong sense of ownership, attention to detail, and ability to deliver high-quality insights independently.
Nice-to-Haves:
* Experience designing and maintaining semantic layers and data models for BI.
* Familiarity with A/B testing, experimentation, or statistical analysis.
* Fintech, payments, or chargeback experience.
* Understanding of data architecture concepts ( ETL, data warehouses, data marts).
* Comfortable working in a fast-paced, high-growth environment with evolving priorities.
Our Story:
We are a leading force in fintech innovation, tackling the pervasive issue of chargeback fraud that undermines online businesses. Born from a deep passion for technology and a commitment to excel in Ecommerce and fintech, we've developed an AI-driven solution aimed at combating the frustrations of credit card disputes. Our diverse expertise in fintech, Ecommerce, and technology positions us as a beacon for merchants facing unjust chargebacks, supported by a unique success-based approach. Propelled by nearly $20 million funding round led by OpenView Venture Partners and key fintech investors, we have embarked on a product-led growth journey. Today, we represent a tight-knit community of passionate individuals and entrepreneurs, united in our mission to revolutionize Ecommerce and fight against chargeback fraud, marking us as pioneers in protecting online business revenues.

Requirements:
Qualifications:
* MSc or PhD in Computer Science or a related field.
* 5+ years of hands-on experience developing NLP /LLM algorithms and systems.
* Strong proficiency in Python and core data /ML libraries, such as NumPy, pandas, scikit-learn, PyTorch and/or TensorFlow.
* Comfortable working in a fast-paced, dynamic work environment.
* Excellent written and verbal communication skills in English.
* Previous experience in AdTech - advantage.

Requirements:
* 5+ years of proven experience in solution engineering, pre-sales, or technical consulting roles 2 years in fintech - Bonus!
* Deep understanding of AI-powered solutions, payment processing systems, and their applications in fraud prevention, chargeback management, and dispute resolution.
Technical Skills:
* Proven experience with integration processes, APIs, and data mapping.
* Strong problem-solving abilities and a critical thinking approach to client challenges.
Personal Qualities:
Exceptional communication and presentation skills - ability to explain complex technical concepts to both technical and non-technical stakeholders.
Independence and proactivity - thrive in managing multiple projects simultaneously in a rapidly changing environment Cultural fit for our London office and fast-paced, creative startup atmosphere.
* Fluency in English; additional languages are advantageous.

Requirements:
* Over 10 years of hands-on experience in software development.
* Experience in building complex, scalable products. Ability to clearly communicate and explain the design criteria, trade offs, and decisions made.
* Experience with Microservices architecture and Kubernetes - Must.
* Hands-on experience with both SQL & NoSQL databases (Postgres, MySQL, Mongo, DynamoDB, Redis).
* Experience with Monorepo - Advantage.
* Experience with Node.js and React (nestjs - big Advantage).
* Experience with Public cloud (AWS - big Advantage).
* Experience with the AWS ecosystem, including managing it with infra-as-code tools.
* Experienced in a multinational organization - Advantage.
* Firm understanding of security concepts - Advantage.
* 6 years of experience in Node.js ( JavaScript or TypeScript - Advantage).

Requirements:
Requirements:
12+ years of relevant industry experience in cybersecurity, ML security, or related fields
Extensive leadership experience managing and scaling security or R&D organizations, with a strong track record of building high-performance teams and driving complex projects to completion.
Deep expertise in cybersecurity and AI proven understanding of AI threats, adversarial Machine Learning, LLM vulnerabilities, and AI safety frameworks (OWASP Top 10 for LLMs, NIST AI Risk Management Framework, etc.).
Strategic mindset and execution skills, with the ability to set vision and direction for AI security initiatives and also dive into technical details when needed.
Demonstrated thought leadership in AI security by publishing research, speaking at industry events or contributing to AI security standards and open-source projects.
Experience building or deploying AI security products and tools, such as red teaming automation platforms, guardrail frameworks, or AI monitoring and anomaly detection systems.
Hands-on familiarity with agentic AI frameworks and protocols and cloud-based AI environments, showing you understand how to secure complex AI orchestration workflow
A background in AI or adversarial ML research, with insight into emerging threats and mitigation techniques for GenAI applications.