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Requirements:
5+ years of proven experience in a DBA, DevOps, DataOps, or Data Engineering role with deep hands-on ownership of production databases (e.g., MySQL, SingleStore, PostgreSQL).
Proven track record in designing, operating, and maintaining large-scale data infrastructure (capacity planning, performance tuning and upgrades, monitoring, CI/CD (Jenkins/GHA/ArgoCD)).
Strong software engineering capabilities in Python, Java, or Go within a microservices architecture, as well as Bash scripting.
Hands-on expertise with Linux environments and at least one major cloud provider (AWS preferred).
Demonstrated experience in leading technical design reviews, setting engineering guardrails, and mentoring engineers.
Strong analytical problem-solving skills with a data-informed approach to resolving complex, cross-system production issues in a 24/7 environment.
Exceptional communication, teamwork, and stakeholder management skills.

Requirements:
3+ years experience as DevOps Architect, owning architecture and leading technical initiatives across multiple teams, with 8+ years of overall experience in infrastructure, DevOps, platform engineering, or software engineering.
5+ years of hands-on programming experience in languages such as Python, Go, or Java, including designing and maintaining production services, APIs, or shared engineering tools.
Demonstrated experience architecting distributed production systems, including defining service boundaries, selecting technologies, documenting trade-offs, and leading implementation and migration.
Deep expertise in at least one major cloud platform AWS, GCP, or Azure and hands-on experience with Kubernetes, infrastructure as code tools such as Terraform, and CI/CD or GitOps tooling such as Jenkins, GitHub Actions, or Argo CD.
Experience designing developer platforms, reusable infrastructure components, and self-service workflows adopted by multiple engineering teams.
Strong understanding of networking, cloud security, observability, high availability, and disaster recovery, supported by experience operating and troubleshooting production systems.
Proven experience building and deploying AI services and agents to production, including model integration, orchestration, tool calling, evaluation, and integration with internal or external systems.
Experience defining technical requirements with stakeholders, presenting architectural proposals, and leading cross-team decisions through implementation and adoption.

Requirements:
15+ years in software engineering & architecture
5+ years leading end‑to‑end system architecture
Proven experience delivering large‑scale, high‑availability enterprise systems
Significant experience in SaaS / Cloud‑native product companies, operating multi‑tenant platforms at scale
Deep knowledge of distributed systems, microservices, and Azure (advantage)
Leading enterprise architecture transformations
Hands‑on expertise: React.js, Java, C++, CI/CD, DevOps, cloud security

Requirements:
8-10 years of experience in revenue accounting, including experience in a Revenue Controller or equivalent senior technical role.
Experience leading, mentoring or managing accountants, or a clear readiness to build and lead a team.
Strong working knowledge of ASC 606 / US GAAP.
Experience with multi-element arrangements, standalone selling price analysis and complex contract structures.
Comfortable operating as a pre-signature technical checkpoint, partnering with Deal Desk, Sales and Legal.
Experience managing external audit relationships and SOX (or equivalent) controls for revenue processes.
Familiarity with ERP-native or specialist revenue recognition platforms, and an interest in automating manual close activities.
AI proficiency: able to apply AI tools across large data sets, automation and contract review.
Strong ability to read and analyse commercial agreements and identify revenue recognition implications in non-standard terms.
Strong communication skills, including explaining technical accounting positions to non-finance stakeholders.
Advantage: prior experience in a professional department (audit) at an accounting firm.

Requirements:
3-6 years of experience in finance or FP&A, with deep knowledge of corporate finance processes

Native or high-level English speaker with the ability to conduct fluent conversations. Hebrew - a MUST.

Advanced Excel expertise (VLOOKUP, Pivot Tables, financial modeling)

Strong communication skills with the ability to engage C-level executives and finance leaders

Experience with BI tools, ERP systems, and software implementation

bachelors degree in finance, accounting, or a related field

Requirements:
3+ years as an analytics engineer or data analyst, preferably in B2B SaaS.
Experience defining metrics and KPIs with business stakeholders, and specifying and building the dashboards that track them.
Experience working across business domains (such as marketing, sales, product or finance), and quickly learning a new teams data and questions.
Proficiency in SQL and Python for data processing, analysis and automation.
Data modeling and warehousing experience in a cloud data warehouse, ideally BigQuery on GCP.
Hands-on experience building and maintaining ETL/ELT pipelines from multiple sources, orchestrated with Apache Airflow.
Ownership of data observability: pipeline health, freshness and quality.
Git and version-controlled development (branches, pull requests, code review), with familiarity with CI/CD, Docker and Terraform.
Works independently: can take a loosely defined question, scope it, and deliver without close technical supervision.

Requirements:
3+ years of Product Design experience, preferably in a B2B SaaS environment.
Experience designing complex systems and data-rich products.
Strong proficiency in Figma, including prototyping and working with Design Systems.
Ability to independently lead design initiatives and take full ownership of projects.
Strong product thinking and the ability to simplify complex workflows into intuitive user experiences.
Excellent communication and collaboration skills, with experience working across cross-functional teams.
A strong portfolio showcasing UX, UI, problem-solving, and product thinking.

Requirements:
BSc in Computer Science or equivalent experience.
7+ years of experience building and shipping production software, with a strong track record of owning features or systems end-to-end.
Strong system design fundamentals and experience building scalable SaaS systems in the cloud.
Ability to make sound architectural decisions independently and understand technical trade-offs.
Solid understanding of REST APIs, asynchronous programming, distributed systems, microservices, and testing.
Hands-on experience with AI coding tools such as Claude Code, Cursor, Codex, GitHub Copilot, or similar.
Strong ability to review, challenge, and improve AI-generated code rather than relying on it blindly.
Strong product mindset, with the ability to balance technical and business priorities and focus on solving the underlying problem.
Strong ownership mentality and ability to drive work independently from idea to production.
Excellent communication skills and high proficiency in English, with the ability to work directly with Product and engineering teams.

Requirements:
2-3 years of proven experience managing engineering teams and leads across multiple teams, with accountability for people, delivery, and production systems.
Strong engineering individual contributor background is a must with significant hands-on experience as an engineer.
Experience leading in a fast-growing startup, bringing clarity to evolving priorities and developing practical ways of working as the organization scales.
Strong coordination skills and the ability to manage frequent context switching without losing important details or leaving issues unresolved.
Sound judgment to balance competing input, set clear priorities, and help teams move forward confidently as details take shape.
Experience scaling engineering organizations, including hiring and developing strong leaders, building high-performing teams, and demonstrating strong judgment in identifying top performers and underperformance, with the ability to make clear, timely talent decisions when needed.
A strong hands-on software engineering background and current ability to read code, review architecture, and investigate complex production problems.
Significant experience working with big data and data engineering teams in very high-scale production environments.
A strong understanding of distributed systems, data pipelines, analytical workloads, and their operational trade-offs.
Deep attention to detail and the ability to learn unfamiliar tools, codebases, and domains independently.
Advanced, practical AI proficiency, including substantial use of AI coding tools, LLMs, and agent-based workflows. You can demonstrate your work, explain its limitations, and show how you validate results.
High emotional intelligence and genuine respect for people, paired with clear accountability.
Low ego and intellectual honesty. You seek expertise and change your view when the evidence changes.
Native-level English proficiency, written and spoken, sufficient to lead nuanced technical discussions, write clear proposals, and represent Triple Whale with global partners.
Strong in-office presence at our Jerusalem office, of at least three days per week.
Full availability in the evenings.