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Requirements:
Experience & Background:
3-5+ years of experience in Marketing Operations, Lifecycle, or Growth Operations within B2B SaaS
Hands-on experience with CRM systems (e.g., Salesforce) and marketing automation platforms (e.g., Marketing Cloud, HubSpot), including managing large-scale datasets
Strong expertise in lifecycle marketing, segmentation, and building end-to-end marketing processes with an omnichannel approach
Experience implementing and maintaining marketing models (e.g., SQL, Intent, MQL scoring)
Proven experience leveraging AI in marketing or operations, including building and implementing AI-driven solutions
Ability to operate both strategically and hands-on in a fast-paced environment
Experience streamlining large-scale data flows across marketing systems and CRM
Strong project management and communication skills, with the ability to manage multiple stakeholders and priorities
Experience leading marketing platform implementations and managing them at an admin level, including overseeing martech stacks, budgets, and vendors.

Requirements:
Analyzing Billions of user-based events into meaningful insights for strategic clients.
At least 4 years experience with SQL/pySpark for data analysis - Must
Experience in Python scripting - Must
Excellent verbal and communication skills in English - Must
AWS Infrastructure experience - Big Advantage
Working with clients - Big Advantage.
Proficiency in Online Marketing/Online Services - Advantage
At least 2 years work experience in Online/Tech Company - Advantage
Team player, autodidact, fast learner with excellent analytical, research and business skills.
Demonstrates initiative and a proactive mindset -Must
Experienced in independently managing complex projects from start to finish.
Have a Bachelor's in Statistics, Computer Science, Engineering, or related field.
Master's degree - Big Advantage.

Requirements:
* Certified CPA and graduate of one of the Big 4 accounting firms – mandatory.
* 5–7 years of relevant professional experience.
* Previous experience in a Big 4 firm at Senior level or above.
* Strong hands-on approach with proven ability to lead, build, and implement end-to-end financial processes.
* Extensive experience in financial modeling, budgeting, forecasting, profitability analysis, and performance management.
* Proven ability to establish and develop FP&A processes and generate meaningful business insights.
* Experience leading cross-functional initiatives and working closely with multiple stakeholders, including business managers, operations, and HR teams.
* Strong process-oriented mindset with the ability to identify root causes and design sustainable solutions.
* High level of independence, ownership, initiative, and execution capabilities.
* Strong leadership, influence, and stakeholder management skills, including working with senior executives.
* Advanced proficiency in Excel.
* Strong technological orientation, including an interest in automation and AI-driven process improvement. Nice to Have:
* Previous industry experience in a first finance role such as Assistant Controller, Controller, FP&A, or a similar position.
* Alternatively, experience as a Manager within a Big 4 firm, looking to transition into an industry role while bringing expertise in team leadership, complex project management, and stakeholder engagement.
* Familiarity with employee profitability and project profitability concepts.
* Experience working with AI tools such as Claude, Microsoft Copilot, or similar technologies. Who Are We Looking For? We are looking for someone with strong business acumen, exceptional execution capabilities, and a genuine passion for building financial infrastructure and processes. Someone who enjoys rolling up their sleeves, diving into data, creating order from complexity, and leading financial and business initiatives from idea to full implementation. Why Join Us? At abra, you'll have the opportunity to shape financial processes that directly impact business performance, work closely with senior leadership, and play a key role in a growing and evolving organization. If yo

Requirements:
What we need to see:

Proven experience in RTL design or RTL verification.

4+ years of relevant experience.

Previous experience in networking - an advantage.

B.Sc. in Electrical Engineering or Computer Engineering, or equivalent experience.

A great teammate with good communication and social skills.

Requirements:
* At least 5 years of experience in development, infrastructure, SRE, DevOps, solutions architecture, or technical pre-sales roles delivering production solutions on AWS or another major public cloud platform.
* Proven hands-on experience designing solutions using AWS services including EC2, S3, VPC, CloudFront, ECS, EKS, Lambda, RDS, and IAM.
* Experience preparing AWS cost estimates and conducting architecture validation activities.
* Experience writing technical and commercial documentation, including SOW, HLD, LLD, architecture diagrams, BCP, and DRP.
* Coding or scripting experience using technologies such as Python, Node.js,.NET, JAVA, or Go.
* Excellent communication and presentation skills with the ability to engage both technical and business audiences.
* Strong customer-facing capabilities and experience leading technical conversations.
* Self-driven, curious, resourceful, and highly collaborative mindset. Nice to Have:
* AWS Associate or Professional certifications, with AWS Solutions Architect Professional considered a strong advantage.
* Experience working within an AWS Partner, MSP, consulting, or Professional Services environment.
* Experience leading Well-Architected Reviews, migration programs, or cloud modernization initiatives.
* Bachelor's degree in Computer Science, Engineering, Software Engineering, or a related field.
* Fluent English, with strong Hebrew considered an advantage.

Requirements:
This is the perfect job for someone who:
5+ years of hands-on experience building high-performance software products.
B.Sc. or M.Sc. in Computer Science, Software Engineering or a related technical field (or equivalent experience).
Strong software development skills; deep expertise in at least two of the following domains: Node.js, frontend/web internals (e.g. React), JavaScript/TypeScript, or browser/Chromium internals.
Ability to work at a low level: understand and work with web-development internals, browser APIs, and extension platform mechanics.
Experience with RESTful APIs and designing secure data handling within browser extensions.
Strong debugging and investigative skills: able to research, triage and resolve complex issues that arise from browser/extension integration.
Ability to own features end-to-end: from design and architecture through development, testing, deployment and maintenance.
Prior experience building or maintaining browser-extensions or plugins (e.g. for Chrome, Edge, Firefox, or other browsers).
Familiarity with browser-extension lifecycle and security challenges, including manifest-based extension development (e.g. Manifest V2 / V3), sandboxing, permissions model, secure data flow, etc.
Nice-to-have (bonus) skills / experience:
Prior experience building desktop applications for Windows or macOS (Electron, .NET, Swift, or similar).
Familiarity with automated testing frameworks and relevant tooling (unit tests, integration tests, extension testing frameworks, end-to-end testing).
Hands-on experience with AI-powered development environments (e.g., Cursor, Claude Code) and a demonstrated track record of integrating AI tools into everyday engineering workflows.

Requirements:
What we need to see:

Bachelors or masters degree in Computer Science, Computer Engineering, or equivalent experience.

5+ years of software engineering experience, with a strong track record of designing, shipping, and operating production systems.

Proven full-stack and infrastructure ownership across multiple layers of the stack - not just isolated feature development.

Strong technical judgment and the ability to make and defend architectural decisions under real-world constraints.

Experience mentoring engineers and influencing technical direction across teams.


Ways to stand out form the crowd:

Experience building developer platforms, EDA/CAD tooling, or infrastructure for hardware or silicon teams, with a working understanding of VLSI design flows.

Experience with modern build systems, especially Bazel, including large-scale builds, dependency modeling, caching, CI integration, and reproducible developer workflows.

Production experience designing and operating durable execution platforms at scale, such as Temporal, Restate, AWS Step Functions, or DBOS.

Deep Kubernetes and HPC scheduling experience, including LSF or Slurm, and experience running large workloads reliably on AWS, GCP, or Azure.

Strong systems-design instincts, fluency with graph algorithms and large-scale data structures, and strong SQL skills.

Requirements:
5+ years in consulting, business development, or alliances roles
Experience with large enterprise ecosystems (advantage: Microsoft/cloud)
Proven ability to generate business and drive revenue
Strong stakeholder management and executive presence
Commercial mindset with negotiation experience
Fluent English
A proactive door opener with both consulting and business development strengths
Ability to operate in ambiguity and build new structures
Comfortable engaging in both corporate and sales environments.

Requirements:
3+ years experience as a team lead of a data science team, managing at least 3 ICs
3+ years proven hands-on IC experience implementing machine learning algorithms and techniques in production grade environments
M.Sc in Statistics, Computer Science, Mathematics, or a related field
Strong foundation in ML theory and statistical modeling, with proven experience in supervised learning at scale, complex feature engineering, and optimizing labeling strategies for imbalanced datasets.
Proven track record of translating business KPIs into technical roadmaps and measurable data science objectives.
Ability to lead by example by contributing high-quality code and taking a hands-on role in resolving critical technical challenges and bottlenecks.
Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
Experience in defining long-term research strategies and managing technical debt within an agile DS framework.
Experience in the fraud domain - advantage.

Requirements:
4+ Years of Product Management Experience: Demonstrated experience in product management, focusing on technical and data-driven products.
Technical and Data Science Knowledge: Proficiency in understanding and working with machine learning models, preferably with experience in fraud detection or e-commerce analytics.
Analytical Skills: Strong ability to interpret and leverage data to drive product decisions, ensuring alignment with business goals and customer needs.
Communication Skills: Fluent in spoken and written English, with strong interpersonal and communication skills.
Experience with eCommerce, FinTech, Online Payments, Fraud - an advantage
Fast learner with strong interpersonal and communication skills; you must have excellent English verbal and written communication skills
Experience with large-scale, cloud-based solutions
BA/BS degree or equivalent experience.