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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Forward Deployed Engineering sits at the frontier of that work. We embed with our most strategic enterprise customers, running on-prem, air-gapped, and heavily regulated environments, and own the technical arc from discovery through production.

Your day might include designing a solution architecture for a high-impact agentic use case, debugging a production routing issue deep in our codebase, deploying a new MCP server with a customer team, or aligning with a CTO on a rollout plan; all in service of outstanding outcomes and rapid time to value for the organizations we work with.

This is a founding function. The first FDEs will define how we conducts field engineering: the standards, playbooks, and technical bar. The work is hands-on, commercially scoped, and high-leverage: youll partner closely with Product, Research, Platform, Security, and GTM, and what you learn in production directly shapes what the core team ships next. If you thrive under ambiguity, make fast and sound decisions when the stakes are high, and get energy from closing the gap between what customers hit in production and what we build next, this role is for you.

In This Role You Will
Own technical delivery across multiple deployments from first prototype to stable production, including core engineering work that unblocks strategic accounts.
Lead deep technical diagnosis and remediation in our codebase and production environments, model routing and gateway behavior, large-PR scaling, multi-pass behavior, performance and reliability issues.
Build customer-specific extensions (MCP servers, agent skills, platform integrations) that deliver immediate value and become durable product capability; upstream them into the main roadmap where appropriate.
Embed closely with customer engineering teams: serve as their senior technical counterpart for hands-on debugging, architecture reviews, and joint implementation.
Scope work, sequence delivery, and remove blockers early; make deliberate trade-offs between scope, speed, and quality to protect delivery timelines.
Partner with Product, Research, and Platform to convert account learnings and eval-driven feedback into roadmap items, specs, and prioritized engineering work.
Codify working patterns into tools, playbooks, runbooks, and reproducible benchmarks that Support and account teams can operate independently and help scale the field engineering function across the organization.
Requirements:
You Might Thrive in This Role If You
Bring 5+ years of experience in a technical, customer-facing role as a Forward Deployed Engineer, a Software Engineer with consulting exposure, or a founder with hands-on deployment experience.
Experience building or consuming MCP servers or agent frameworks.
Have scoped and delivered complex systems in fast-moving or ambiguous environments you know how to sequence work and protect delivery without slowing everything down.
Write and review production-quality code in Python, TypeScript or comparable stacks; you contribute directly in the code when it matters.
Have production experience with LLMs: advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale and you actively stay current with the latest capabilities and implementation patterns.
Have debugged hard problems in live distributed systems under time pressure and can write a postmortem that actually prevents recurrence.
Have shipped integrations that started as customer-specific work and became broadly reusable product capability.
Communicate clearly with engineers and non-technical stakeholders alike; you conduct discovery well, convey technical concepts to diverse audiences, and spot risks early enough to act on them.

Nice to Have
Background in enterprise platform engineering, multi-tenancy design, or large-scale monorepo tooling.
Prior work with model routing, inference infrastructure, or LLM gateway systems.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
We are hiring Senior Forward Deployed Engineers - the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.

The Senior Builder Experience

Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.

AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.

Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.

Continuous Innovation: You're expected to stay at the forefront - piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
Requirements:
You're Our Senior Forward Deployed Engineer If

You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.

You have a degree in Computer Science or a related field.

You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.

You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.

You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.

You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.

You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery - and the judgment to know when "fast" is the wrong call.

You've mentored technical talent and created reusable assets - frameworks, playbooks, internal tooling.

You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.

You actively tinker with the evolving AI/data landscape - piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.

Ability to travel to customer sites as needed to ensure client success.

High level of proficiency in Hebrew and English.


Nice-to-Haves:

Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect).

Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks.

Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers.

Track record of influencing enterprise software product roadmaps through field engineering insight.

Open-source contributions, published technical writing, or conference presentations.
This position is open to all candidates.
 
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02/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for our **first Forward Deployed Engineer**. You'll sit directly with our customers' engineering teams and get their workloads onto Impala - from the first scoping conversation to a production endpoint carrying real traffic, at a cost and latency profile they couldn't hit anywhere else.
This is an engineering role. You will write code every day, in customer repos and in ours. It also carries pieces of solutions architecture, product management, and pre-sales, and you should want that mix rather than tolerate it. Ambiguous business goals come in; observable, benchmarked, production services go out.
As the founding FDE you also define the function: what a POC looks like, what we promise and measure, which patterns get productized, and how the field feeds the roadmap. The next FDEs will work from what you build here.
What You'll Do
- **Own customer outcomes end to end:** problem framing, evaluation design, migration, deployment, benchmarking, monitoring. You're the technical owner from first call through expansion.
- **Win the POC:** turn a vague objective into a tight spec and a working proof of concept fast, with explicit quality, latency, throughput, and cost-per-token targets - and hit them.
- **Tune serverless inference for real workloads:** model and engine selection, batching strategy, KV cache behavior, speculative decoding, quantization, parallelism, cold-start and autoscaling behavior under bursty traffic. Diagnose regressions down to the inference engine.
- **Migrate workloads onto Impala:** move customers off OpenAI-compatible APIs, self-managed vLLM, SageMaker, or their own GPU fleets - and prove out the quality and cost delta with numbers.
- **Guide model strategy:** advise on open-weight model selection, distillation, and fine-tuning for specific tasks; help customers get from a general-purpose frontier model to a smaller, faster, cheaper one that holds quality.
- **Close the product loop:** bring the field back into the roadmap - write the PRDs, land the PRs, and turn one-off customer work into platform features.
- **Be the technical anchor in the room:** support sales on complex evaluations, run technical onboarding, earn trust with staff engineers and CTOs.
Requirements:
- **4+ years** building and shipping production software
- **Inference in production:** hands-on experience serving LLMs with **vLLM, SGLang, TensorRT-LLM** or equivalent, and real intuition for what makes inference fast or expensive.
- **Optimization fundamentals:** working knowledge of batching, KV cache, quantization, speculative decoding, tensor and pipeline parallelism - and the tradeoffs between them.
- **Model judgment:** fluency with the open-weight model landscape and good instincts on model selection for a given task, hardware profile, and latency budget.
- **Production cloud comfort:** containers, Kubernetes, observability, CI/CD. You don't need to be an SRE, but nothing here should be a black box.
- **Range in the room:** you can hold a technical conversation with a skeptical staff engineer and a commercial one with their VP, in the same meeting.
- **Default ownership:** ambiguity, unfamiliar codebases, and a customer waiting on you are the normal conditions of this job, not exceptions.
- Prior forward-deployed, solutions architecture, or applied ML engineering experience at an infrastructure company.
- Post-training experience: LoRA, SFT, DPO, RLHF, GRPO, distillation.
- GPU-level performance work CUDA, Triton, memory bandwidth and throughput profiling.
- Experience selling into or building for regulated, data-sensitive enterprises.
- Open-source contributions to inference or serving projects.
- You've been the first or second person in a function before.
This position is open to all candidates.
 
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26/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for our first Forward Deployed Engineer (FDE) to join our company and help build this function from the ground up.
This is a highly technical, hands-on, and customer-facing role. Youll be based in Israel, working closely with our Product and Engineering teams, while traveling regularly across the U.S. to work on-site with our enterprise customers.
Youll work directly with customers to understand their business processes, technical environments, and operational challenges, and translate them into AI-powered solutions. Youll own projects end-to-end - from discovery and requirements gathering through technical design, development, deployment, adoption, and continuous improvement.
As our first FDE, youll have a unique opportunity to define how our company works with customers from a technical perspective, build the processes and best practices for this function, and play a key role in how we scale customer delivery.
Were looking for a strong engineer with a product mindset who enjoys navigating ambiguity, working directly with customers, and turning complex business problems into scalable technical solutions.
our Values
Ownership - We take responsibility and move decisively.
Clarity - We simplify complexity to deliver meaningful impact.
Accuracy - Precision matters in everything we do.
Velocity - We move fast and execute with purpose.
Partnership - We succeed by working closely together.
What Youll Do
Partner directly with enterprise customers, both remotely and on-site across the U.S., to deeply understand their business processes, technical architecture, data flows, and operational challenges.
Lead technical discovery sessions, gather business and product requirements, and translate complex customer needs into scalable AI-powered solutions.
Design, build, configure, and deploy production-ready AI agents, integrations, and workflows that operate reliably within customer environments.
Work hands-on with APIs, enterprise systems, structured and unstructured data, and customer infrastructure to deliver end-to-end solutions.
Own customer engagements from technical discovery through implementation, deployment, adoption, and continuous optimization.
Validate solutions using real customer data, troubleshoot technical challenges, and continuously improve system performance and business outcomes.
Drive measurable business impact by identifying new use cases, increasing platform adoption, and helping drive growth and expansion within customer accounts.
Work closely with Product and Engineering in Israel to influence product direction based on customer feedback, implementation learnings, and real-world use cases.
Act as the technical owner throughout the customer engagement, building trusted relationships with both technical and business stakeholders.
Create reusable implementation playbooks, tools, and best practices that help scale the FDE function as our company grows.
Requirements:
5+ years of experience in Software Engineering, Forward Deployed Engineering, Solutions Engineering, or other highly technical customer-facing roles.
Strong software engineering fundamentals and a deep understanding of software systems and architecture.
Experience working with APIs, integrations, data flows, databases, and complex enterprise systems.
Experience working with AI agents, LLMs, automation platforms, or enterprise AI applications.
Experience leading technical customer engagements from discovery through deployment.
Strong product mindset with the ability to understand customer pain points and translate them into scalable product solutions.
Excellent communication skills and confidence working directly with enterprise customers, engineering teams, and executive stakeholders.
High level of ownership and the ability to independently solve ambiguous technical and business problems.
This position is open to all candidates.
 
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30/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
This is a hybrid role combining hands-on software engineering, deep production debugging, and direct customer engagement.
You will work directly inside customer production systems, integrating our companys SDK, solving real-world issues, and shaping how our product is used in practice. At the same time, you will translate field learnings into scalable product improvements and reusable systems.
Were building a runtime code sensor that operates where most tools dont: inside running applications. Our goal is to give engineers and AI agents real-time, high-fidelity visibility into how code behaves in production-under real load, real traffic, and real failures.
This role blends deep systems engineering with applied, real-world problem solving. Youll navigate complex production environments, explore runtime behavior, and design low-overhead solutions that are safe, reliable, and production-ready.
If you enjoy breaking (and fixing) complex systems, working closely with customers, and building tools that engineers trust in their most critical services-this role is for you.
What Youll Do
Own technical execution end-to-end across customer engagements and internal tooling
Integrate our companys SDK into complex production systems across different environments and stacks
Debug real production issues (performance, reliability, edge cases) and demonstrate our companys value
Build and ship code (primarily in FDE tooling and internal codebases)
Design and implement repeatable agentic workflows, where production signals power automated workflows across the SDLC
Create reusable assets such as playbooks, runbooks, templates, reference architectures, and demo environments
Turn recurring customer pain points into scalable solutions and product improvements
Collaborate closely with Product and Engineering to translate field insights into features and capabilities
Lead technical customer interactions, including calls, debugging sessions, and written communication.
דרישות:
Hard Skills & Experience
6+ years of experience in software engineering, solutions engineering, field engineering, or technical leadership roles
Strong backend engineering fundamentals and production debugging skills
Deep expertise in at least one runtime: Node.js / TypeScript, Python, or Java (JVM)
Experience working within real production systems, including troubleshooting latency, memory issues, regressions, and distributed system failures
Strong understanding of modern backend architectures:
Microservices and distributed systems
Async and event-driven systems
Containers and orchestration (Docker, Kubernetes)
Cloud environments and production reliability challenges
Hands-on experience building or integrating SDKs, devtools, or production-facing components
Strong performance engineering skills (CPU/memory profiling, minimizing overhead)
Ability to design safe, stable, and resilient systems that operate inside customer environments
Full-time, on-site role in Tel Aviv
Ability to thrive in a fast-paced, dynamic startup environment
Engineering Excellence & Mindset
Strong ownership mindset: code quality, reliability, observability, and documentation
Bias to action-build fixes, tools, and workarounds rather than only providing guidance
Ability to anticipate risks, identify bottlenecks, and drive long-term improvements
Comfortable balancing technical trade-offs with product and customer needs
Autonomous, proactive, and capable of leading technical initiatives
Strong communication skills and comfort in customer-facing environments
Nice to Have
Experience with observability, performance monitoring, or developer tooling
Background in SDKs, instrumentation, or in-process production components
Experience designing AI-assisted SDLC workflows (LLM agents, evaluations, guardrails, human-in-the-loop systems)
Familiarity with runtime internals (e.g., event loop, GC, JIT, tracing hooks)
Experience with APM agents, tracing systems, or telemetry pipeli המשרה מיועדת לנשים ולגברים כאחד.
 
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18/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are seeking a Staff Developer to join our team and take a lead role in shaping the architecture, evolution, and reliability of our systems core services.
You will directly shape Apono's technical direction, keeping our architecture aligned with company strategy while pushing forward what's possible in access management and engineering excellence. This role means owning a roadmap that raises the bar on quality, scalability, and security across our platform, as we bridge the operational security gap for organizations running in the cloud.
What you can expct:
Shape the architecture and long-term technical direction of core services powering Apono's platform.
Own complex, ambiguous initiatives end-to-end, from problem definition through rollout, spanning one or more teams and systems.
Break down large, undefined problems into a coherent execution plan, and drive that plan to completion.
Partner with product, design, and other engineering teams as a technical authority, translating ambiguity into clear architectural decisions.
Balance rapid iteration with long-term system health, scalability, and security.
Raise the bar for engineering standards, code quality, observability, and operational excellence across the org.
Mentor senior and mid-level engineers through design reviews, technical deep-dives, and pairing.
Evaluate new technologies and propose architectural improvements that shape how Apono builds going forward.
Leverage AI-assisted engineering workflows to multiply your own impact and the team's.
See your technical decisions directly shape the platform's ability to scale with the business.
Requirements:
8+ years of experience as a backend software developer, with a track record of owning large-scale production systems.
Proven experience architecting and evolving distributed systems, not just building within them.
Deep experience with cloud-native architectures (microservices, Docker, Kubernetes) at scale.
Strong systems thinking - able to reason about trade-offs across performance, reliability, and security.
Demonstrated ability to lead complex, cross-team technical initiatives from ambiguity to delivery.
A track record of raising technical standards beyond your immediate team.
Ability to balance deep technical ownership with business and product outcomes.
Nice to have:
Hands-on experience in identity and access management.
DevOps or platform engineering technical leadership background.
In-depth experience with cloud service providers, mainly AWS.
Strong security mindset.
Experience mentoring engineers into senior or staff-level roles.
This position is open to all candidates.
 
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08/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Data Engineer to build and scale the data foundation behind platform and products. You will own complex data end-to-end - from ingestion and transformation through modeling, quality, observability, and production delivery.
This is a hands-on senior IC role for a strong builder who can solve difficult data problems independently, set a high technical bar, and collaborate closely with engineering, DS, and product. You will turn large, fragmented datasets into reliable, reusable capabilities that power every product.
Responsibilities
Build and own scalable data pipelines- Design, implement, and operate robust pipelines for high-volume structured and unstructured data, with validation, monitoring, lineage, and recovery built in.
Scale the platform for growth- A key near-term initiative is re-architecting the system to support a significantly larger customer base. You will own performance and cost-efficiency across pipelines and services, keeping reliability and operating costs under control as the platform scales.
Build across the stack- This is not a pipelines-only role. You will also write backend services and some frontend, including the internal backoffice the team runs on. We hire builders, not narrow specialists.
Own the core data tables- Own schema design and evolution, data contracts, and the modeling standards the team follows - naming, shared dimensions, normalization, documentation. Be accountable when a table is wrong, late, or drifting.
Level up the teams data work- Pair with and advise software engineers and data scientists on Spark, SQL, and modeling, and help turn notebook-grade code into production-grade pipelines.
Partner cross-functionally- Translate product, client, compliance, and business requirements into clear technical designs and dependable production systems.
Requirements:
Spark at scale- You have tuned real Spark jobs for performance and cost - skew, shuffle, partitioning, memory, spill - run pipelines over TB-scale or billions of rows in production, and can reason about the physical execution plan, not just write DataFrame code.
5+ years of professional experience building and owning production systems.
Strong Python and SQL, with maintainable, tested production code.
Strong software engineering fundamentals across the stack. You can own backend services and pick up frontend when the work needs it - not a pipelines-only specialist.
AI-first way of working- You build with AI in your day-to-day development, using it to move faster and raise the quality of what you ship.
Deep experience designing and operating ETL/ELT pipelines, data models, and distributed data-processing systems.
Comfortable advising and pairing with other engineers and data scientists on data work.
Strong AWS experience: S3, Glue, EMR, Athena, and related compute and orchestration services.
Experience with modern data lakehouse or warehouse architectures. Apache Iceberg is a strong advantage.
Experience with workflow orchestration (Airflow or similar), CI/CD, Docker, Git, and infrastructure as code such as AWS CDK and CloudFormation.
Strong understanding of data quality, schema evolution, lineage, observability, privacy, security, and access controls. Experience with regulated or sensitive data, such as healthcare / PHI, is an advantage.
High comfort in a fast-moving environment with incomplete requirements, high ownership, and a strong sense of urgency.
This position is open to all candidates.
 
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07/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior II Software Engineer to join the CX Platform team, the foundational engineering team powering our entire Customer Experience group. This is a high-impact, hands-on role at the intersection of backend engineering, AI infrastructure, and customer-facing product.

You'll work across the full platform stack (backend services, data pipelines, security, cost, and scale) with a meaningful and growing focus on AI infrastructure. We own the agentic platform for the entire Product Offering group: from building the LLM infrastructure and agentic workflows to ensuring they're reliable, observable, and safe in production.

What you'll be doing:
Own AI infrastructure for the Product Offering group. Design, build, and evolve the shared AI platform (agentic workflows, LLM integrations, observability, and guardrails) that CX product teams build on.
Ship agentic features end to end. Lead development of AI-driven capabilities using LangChain, LangFuse, and AWS Bedrock, from architecture through production deployment and monitoring.
Drive platform architecture. Set the technical direction for the CX backend (services, data pipelines, API patterns) with an eye for scalability, reliability, and developer experience.
Own core data foundations. Design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, and MySQL; keep pipelines fast, fresh, and reliable.
Mentor and elevate. Help engineers across the CX group grow in backend craft, AI engineering, and system design thinking.
Collaborate cross-functionally. Work with product, design, and customer-facing teams to turn ambiguous problems into well-scoped, high-quality solutions.
Requirements:
What you'll need:
6+ years of backend engineering experience with strong expertise in Node.js and TypeScript.
Hands-on experience building or integrating LLM-powered features or agentic workflows into a production product (not just internal tooling).
Experience with distributed systems and event-driven architectures, and comfort with stores like Kafka, Redis, Elasticsearch, MySQL, and Snowflake.
Strong familiarity with cloud-native environments. AWS experience is a significant advantage.
Deep systems thinking: you design for scale, resilience, and maintainability from the start.
Experience building customer-facing products alongside product managers and designers.
Excellent communication: you can align engineers, product, and non-technical stakeholders around a technical decision.
Proven ability to own and drive complex initiatives with minimal oversight.

Itd be really cool if you also have:
Experience with LangChain, LangGraph, LangFuse, or similar orchestration and observability tooling.
Hands-on experience with AWS Bedrock or other LLM provider APIs.
Experience designing or running AI evaluation frameworks (evals, LLM-as-judge, regression suites).
Familiarity with MCP (Model Context Protocol) or building tools for coding agents.
Experience with React, Next.js, or micro-frontend architectures.
Knowledge of Python for AI/data workflows.
This position is open to all candidates.
 
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
07/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a highly skilled, motivated Senior Full-Stack Engineer II to join the Customer Experience Offerings (CXO) team. This team delivers and scales our core offerings and agentic experiences, creating smart automation for customers to confidently understand, configure, and optimize their journey.

What Youll Be Doing
Act as the go-to technical expert across one or more core areas of the CXO platform, setting the standard for code quality, maintainability, and architecture for the team.
Drive technical decision-making on complex, mission-critical systems. Lead design reviews for large-scale initiatives and contribute to all major architectural decisions within your domain.
Own and deliver large, cross-system initiatives, handling open-ended problems with ambiguity. Define key success metrics and measure project impact post-delivery.
Proactively identify and drive improvements to system costs, scale, and operational stability.
Proactively engage with customers to understand their needs, document pain points and suggestions, and drive improvements that benefit multiple teams.
Improve team processes: identify gaps in documentation, design/code review practices, and onboarding; propose and lead adoption of improvements.
Think like a product owner: proactively identify opportunities to improve the customer experience from quality-of-life improvements to impactful new capabilities and bring them to the roadmap.
Requirements:
Who Are You?
7+ years of experience as a software engineer, with deep expertise in full-stack development, including strong command of modern backend technologies (Node.js, TypeScript) and frontend frameworks (e.g., React, Next.js).
Demonstrated track record as a go-to technical expert: you have led complex multi-system initiatives, set architectural standards, and influenced technical direction across teams.
Experience building customer-facing products and working closely with product managers and customer facing stakeholders. You think instinctively about user impact - not just technical correctness.
Hands-on production experience operating data systems at high scale - billions of records.
You are comfortable working with Redis, Kafka, SQS, Elasticsearch, MySQL, and Snowflake. You know how to design efficient data-access layers, work with sharded and partitioned systems, optimize schema and query performance under load, and build reliable ingestion and transformation pipelines.
Strong familiarity with cloud-native environments. AWS experience is a significant advantage.
Experience building products or workflows powered by LLMs or Agentic AI.
Experience enabling and mentoring engineers on your team.
Excellent communication and collaboration skills. You can discuss architecture with engineers, align on roadmap with product managers, and explain tradeoffs to non-technical stakeholders.
Experience using modern AI development tools such as Claude, GitHub Copilot, or similar to accelerate development and improve quality.
Proven ability to self-manage, work autonomously, and drive projects forward without heavy oversight.

It Would be Really Cool if you Also Have:
Deep experience with designing or maintaining high-scale data pipelines, including streaming, batching, or real-time enrichment workflows.
Experience with micro-services or micro-frontend ecosystem architectures.
Experience leading workshops, sharing knowledge internally, or driving community practices.
Experience participating meaningfully in recruiting - crafting interview questions, conducting technical interviews, and contributing to hiring decisions.
This position is open to all candidates.
 
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are hiring Deployment Strategists - Strategic Builders who are customer-facing advisors, who define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers. You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value. Engagements are focused and time-bound - typically 12 weeks or less - and may span a single strategic account or multiple customers simultaneously. Your impact isn't just getting to deployment. It ensures customers realise lasting, scalable value from the solutions your team builds.

Key Responsibilities

Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle - Identify → Commit → Deploy → Consume - owning outcomes at every stage, not just discovery or deal closure

AI Strategy & Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start.

Deployment Oversight & Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks.

Adoption & Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization

Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones.

AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools: Including

Cursor, Claude, and our coding products like Vibes, to accelerate development.

Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail.

AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents.

Product Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap.
Requirements:
Required Qualifications:

4+ years experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology.

You have a degree in Computer Science or a related field.

Prior customer-facing delivery experience (consulting, professional services, or technical advisory) - this is a requirement, not a nice-to-have.

Demonstrated understanding of the Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud.

Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex.

Proven ability to lead and own complex, ambiguous engagements end-to-end - from discovery through to measurable outcomes.

Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices.

Strong project and programme management skills - ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments.

Ability to travel 25% of the time to customer sites.

High level of proficiency in Hebrew and English.
This position is open to all candidates.
 
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
07/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Software Engineer to join our Core Engineering group. The group is responsible for the real-time, low-latency infrastructure that powers our fraud decisions and external APIs.

Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale.

In this role, youll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the worlds largest merchants.

This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of our decisioning platform.


What you'll be doing:
Design, build, and scale backend systems that power our real-time decisioning and APIs.
Own projects end-to-end - from design and implementation to production rollout and monitoring.
Ensure systems are low-latency, fault-tolerant, and high-throughput across distributed environments.
Enhance observability, reliability, and developer experience through strong operational and tooling practices.
Collaborate with Product, analysts, data scientists, and infrastructure teams to drive innovation across Forters decision ecosystem.
Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.
Requirements:
What you'll need:
8+ years of experience building backend systems in large-scale production environments.
Strong programming skills in Python, Java, Kotlin, or Node.js
Hands-on experience with cloud-native technologies (AWS, Kubernetes, Docker).
Proven ability to design and maintain high-scale distributed systems
Strong sense of ownership, autonomy, and accountability.
Excellent communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences - including direct collaboration with customers worldwide.

It'd be cool if you also have:
Experience with API Gateway architectures, schema/versioning strategies, or platformization efforts.
Familiarity with real-time data processing frameworks (e.g., Flink, Storm) and resilience patterns.
Background working alongside data science or machine learning teams.
Contributions to developer platforms, infrastructure services, or internal tools improving engineering velocity.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8812819
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