דרושים » הנדסה » Technical Solution Architect (TLV)

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.

Were looking for a skilled and strategic Solution Architect to join our AI Security group. In this role, youll own complex customer projects, bridge the gap between the field, R&D and PM. Youll work closely with internal teams and customers to address technical challenges, enhance our platforms capabilities, and drive successful customer implementation and outcomes. Your work will directly influence product evolution, customer adoption, and enable scalable success across the organization.

What Youll Do

Act as the technical point of contact and lead complex customer engagement projects across pre-sale and post-sale efforts.
Partner with internal teams and customers to implement and integrate AI Sec solutions, ensuring technical feasibility and alignment with business needs.
Act as a platform expert, collaborating with Product and Engineering teams to translate customer challenges into new features and technical solutions.
Troubleshoot complex technical issues, working with cross-functional teams to resolve challenges quickly and effectively.
Collaborate closely with Sales, Customer Success, Product Management and R&D to accelerate the sales process, manage escalations, and maintain alignment across teams.
Design and implement ad-hoc technical solutions and automation to enhance pre-sale, post-sale, and internal operations.
Continuously improve internal workflows, tooling, and best practices to support a growing customer base and field team.
Drive pre-sales engagements to a technical win and post-sales engagements to success.

Were looking for a Solution Architect to bridge the gap between complex AI security challenges and real-world enterprise implementations. In this role, you will work closely with customers, Product, R&D, and Sales to design scalable, secure, and high-impact AI security solutions.

This is a strategic, customer-facing, and hands-on role where you will own the technical design of enterprise deployments and play a key part in shaping how our platform delivers value in production environments.

What Youll Do:

Own Customer Solution Design

Lead technical discovery sessions with enterprise customers to deeply understand their AI usage, architecture, and security requirements.

Design end-to-end solution architectures tailored to customer environments (cloud, hybrid, on-prem).

Translate security and governance needs into scalable technical implementations.

Be the Technical Bridge

Work closely with Sales during pre-sale processes to support technical validation and proof-of-value engagements.

Partner with Product and R&D to communicate field feedback and influence roadmap priorities.

Ensure smooth handover from pre-sale to post-sale implementation and ongoing optimization.

Drive AI Security Implementations

Architect integrations across AI systems, LLM applications, data pipelines, model layers, and runtime environments.

Define best practices for secure AI adoption, governance workflows, and observability frameworks.

Guide customers through architecture decisions, trade-offs, and scalability considerations.

Lead Technical Authority

Act as a trusted advisor to CISOs, security teams, and AI leaders.

Support complex technical escalations and architectural challenges.

Continuously stay ahead of trends in AI security, cloud architecture, and enterprise security frameworks.

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.

Who We Are: Incredibuild empowers developers to radically accelerate their work by shortening build times, enabling more iterations, and speeding up product releases. Thousands of customers - including world-leading brands - rely on our platform to streamline and accelerate everything from compilation to release automation, resulting in major resource savings and faster time-to-market. We’ve helped over 200,000 developers at companies like Microsoft, Samsung, Nintendo, Amazon, and many others build some of the world’s most impactful software across gaming, financial services, embedded systems, and more. As a Sales engineer , you will partner with enterprise customers to design and deliver solutions that accelerate CI/CD pipelines and developer productivity. This is a customer-facing, pre-sales role combining deep technical expertise (backend systems, CI/CD, DevOps) with strong business and communication skills. You will lead technical discovery, run POCs, and act as a trusted advisor throughout the sales cycle and early onboarding.
?Key Responsibilities:
* Own the technical engagement from discovery through POC and rollout
* Analyze customer CI/CD and build environments to identify bottlenecks
* Design scalable solutions leveraging Incredibuild across backend and DevOps ecosystems
* Build ROI-driven value propositions using performance metrics
* Partner with Sales, Product, and Engineering to drive successful deployments
* Create reusable assets (POCs, best practices, demos)
* Support early-stage onboarding and expansion

We are looking for a Software Engineer - Customer Solutions to help customers successfully integrate, configure, and deploy our platform. You will work directly with customers to understand their technical requirements, build integrations, and troubleshoot issues across APIs, data, authentication, and enterprise systems.
This role is ideal for someone who enjoys combining hands-on engineering with customer interaction. We are looking for strong technical fundamentals, curiosity, clear communication, and a practical approach to solving real-world problems.
What Youll Do:
Work directly with customers to understand their technical workflows and integration needs.
Build and configure integrations between our platform and customer systems.
Develop backend services, scripts, APIs, data transformations, and automation workflows.
Investigate technical issues involving APIs, databases, authentication, customer data, and infrastructure.
Participate in customer implementation meetings and help translate business requirements into technical tasks.
Test, deploy, monitor, and support customer-facing solutions.
Document integrations, troubleshooting steps, and implementation decisions.
Work closely with senior engineers and product teams to turn customer-specific needs into reusable capabilities.
Gradually take ownership of increasingly complex customer projects.

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.

Were looking for an Engineering Tech Lead to help drive some of the most strategic technical initiatives at our company. This is not a traditional Tech Lead role. Were looking for someone who is deeply technical and highly hands-on, but also knows how to think strategically, lead architecture decisions, and represent the company in front of enterprise customers and senior stakeholders. Youll work across multiple teams and domains, partnering closely with Platform, Product, and Engineering teams to design and deliver AI-powered enterprise solutions at scale. One moment you might be deep in architecture or code, and the next youll be in a room with customer executives helping guide critical technical decisions. We work on site from our offices in Tel Aviv.
What Youll Do
Lead architecture and technical direction for strategic enterprise AI initiatives
Work directly with some of the worlds largest enterprises to design and deliver scalable AI-powered solutions
Partner cross-functionally with Platform, Product, and Engineering teams across the company
Stay deeply hands-on with the code and engineering teams
Drive complex technical decisions across scalability, reliability, performance, and system design
Help customers solve real production challenges and build long-term technical trust
Design versatile enterprise-grade solutions across different customer environments and use cases
Influence engineering standards, architecture practices, and long-term technical direction
Operate in a fast-moving, high-ownership environment where execution speed matters.

looking for a Software Architect to lead the technical evolution of our next-generation AI cybersecurity platform. You'll work across teams to solve the company's most challenging architectural problems while remaining deeply hands-on - building prototypes, validating new technologies, and helping engineering teams deliver production-ready solutions. The role requires both deep engineering expertise and the ability to shape the architecture of large-scale data, cloud, and AI systems that power our platform.

What Youll Do
Responsibilities:
Partner with engineering teams to solve complex architectural and technical challenges, leading the design of scalable, secure, and maintainable systems.
Build and validate proofs of concept (PoCs) to evaluate new architectures, data platforms, AI capabilities, and emerging technologies.
Drive technical direction across engineering, product, and data science, turning new technologies into production-ready solutions.
Lead architecture and design reviews, ensuring scalability, reliability, security, and operational excellence.
Mentor engineers through hands-on collaboration, code reviews, and system design discussions while promoting AI-native engineering practices.