Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: Dubai, UAE
What you will do as a Customer Engineer
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Regional Focus: Sub-Saharan Africa
Key Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization.
Minimum Qualifications
Fluency in English (written and spoken). French is a plus.
Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows.
Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Strongly Preferred Qualifications (The "Good-to-Haves")
Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms.
Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Travel
This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration.
Compensation
This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Porto, Portugal
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Portuguese and fluent in English.
Location:
Must be based in Portugal.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Netherlands
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Dutch and fluent in English.
Location:
Must be based in Netherlands.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Japan
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Japanese and fluent in English.
Location:
Must be based in Japan.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Italy
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Italian and fluent in English.
Location:
Must be based in Italy.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Spain
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Spanish and fluent in English.
Location:
Must be based in Spain.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: France
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in French and fluent in English.
Location:
Must be based in France.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Germany
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in German and fluent in English.
Location:
Must be based in Germany.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Remote - Global
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
ABOUT THIS ROLE:
You are an experienced software engineer who is passionate about building large-scale computing platforms. You have experience building systems that remain reliable under high traffic, partial failures, and changing capacity. You know how to deliver reliability, performance, and scale with minimum operational load.
WHAT YOU'LL DO:
- Take ownership of one or more of the Rust/Python systems that power our AI inference and large-scale GPU computing platform
- Design for 100x growth in workloads and GPU capacity, with reliable, low-latency execution across the globe
- Use AI aggressively to accelerate development and automate repetitive operations, alerting, and recovery
You will specialize in one or more of these critical areas:
- Request routing and queuing on a global scale
- App deployment and autoscaling
- Worker orchestration and placement
- GPU fleet autoscaling and capacity management
- GPU fleet lifecycle automation: provisioning, diagnostics & recovery, upgrades, tracking
- Global file storage, caching and distribution
- Global IP backbone: private networking across datacenters, elastic public IPs, ACLs/firewalls, private connectivity
- Workload execution: containerization, globally distributed filesystems, RAM/VRAM snapshotting
QUALIFICATIONS/NICE TO HAVE:
- 3+ years building and operating large-scale production systems, with a track record of reliability and scale
- Strong Rust and/or Python skills
- Strong systems fundamentals, with technical depth relevant to your specialization: distributed coordination, scheduling, fault tolerance, Linux, networking, storage, or capacity management
- Experience building and using observability to drive performance and reliability decisions
- Clear communication, sound technical judgment, and the initiative to move quickly, drive decisions across teams, and own systems from design through production
- Multi-tenant compute platforms, AI inference or training infrastructure, GPU workload scheduling
- High-performance systems programming: async runtimes, zero-copy, memory-safe concurrency
- Linux systems engineering and fleet automation: configuration management, kernel and driver debugging, safe upgrades, and automated recovery
- Distributed filesystems like JuiceFS and Lustre
- Experience with Nvidia/AMD GPU infrastructure; DCGM, NVLink, RDMA, InfiniBand/RoCEv2
- Global networking and routing: BGP, ECMP, tunnels, eBPF, Geneve
WHAT WE OFFER AT FAL:
- Interesting and challenging work
- A lot of learning and growth opportunities
- Regular team events and offsites
U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:
fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Location: Remote - Global
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
You are a seasoned SRE who keeps production infrastructure running at scale. You own the reliability and availability of customer-facing systems — from Kubernetes clusters to deployment pipelines to the networking layer that connects it all. You think in SLOs, automate ruthlessly, and treat every incident as a chance to make the system better.
WHAT YOU'LL DO:
- Own and operate our Kubernetes infrastructure: cluster lifecycle, upgrades, networking, and multi-tenant isolation for customer workloads
- Build and maintain CI/CD pipelines and deployment infrastructure
- Leverage AI to an extreme level to automate analysis and resolution of production issues, and improve software development speed, reliability and maintainability
- Build dashboards, alerting, and anomaly detection across our systems
- Define and enforce SLOs and build out incident response processes
- Manage and improve our networking, load balancing, and service mesh configurations
- Drive reliability improvements across the stack through automation, runbooks, and chaos engineering
QUALIFICATIONS/NICE TO HAVE:
- 5+ years experience in managing critical production systems and software development workflows
- Strong production experience setting up and operating Kubernetes at scale, using infrastructure-as-code (Terraform, Ansible)
- Deep knowledge of Linux networking, container networking (CNI plugins, VXLAN, BGP), and DNS
- Experience building CI/CD systems and GitOps workflows (FluxCD, ArgoCD)
- Proficiency in Python and either Go or Bash for tooling and automation
- Strong experience with logging, monitoring and alerting (Prometheus, Grafana, Loki, Thanos, VictoriaMetrics, Datadog)
- Excellent communication and ability to drive technical decisions across teams
- Self-starter who executes quickly, takes ownership, and constantly seeks improvement
- Experience with managing GPU and AI/ML workloads
- Experience with kernel-based monitoring and routing (eBPF, XDP)
- Experience with security tooling (Falco, Coroot, SIEM)
- Experience with bare metal Kubernetes networking (Calico, Cilium, MetalLB)
- Experience with distributed storage systems (Ceph, Longhorn, etc.)
WHAT WE OFFER AT FAL
- Interesting and challenging work
- A lot of learning and growth opportunities
- Regular team events and offsites
U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:
fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Location: Berlin, Germany
Workplace: hybrid
Berlin • Cybersecurity & AI Startup • Recently Funded
A newly funded cybersecurity startup in Berlin is looking for a
Backend Engineer(Go)
to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered security risk management platform.
We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a hands-on
Founding Backend Engineer(Go)
for a hybrid role based in central of Berlin. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact.
They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents.
Key Responsibilities
Develop and maintain
backend applications
using Go
Design and optimize cloud-based solutions using
AWS services
(EC2, Lambda, S3, SQS, SNS, etc.)
Design, use and manage
databases
, including PostgreSQL, Neo4J, Redis, and Elasticsearch
Develop, manage, and optimize
containerized applications
using Docker
Automate processes
using Bash/Python scripting
Optimize and maintain
RESTful APIs
, ensuring security and performance
Work closely with frontend engineers, DevOps, and product team
to deliver robust applications
Monitor, debug, and improve
backend performance
, reliability, and scalability
Implement
caching, messaging queues, and event-driven architectures
where needed
Build whole platform
from scratch
Must have skills
5+ years
of
GoLang
experience
Hands-on coding mentality;
can build things from scratch and familiar with different architectures
Hands-on experience with
Docker, Kubernetes
(EKS) and containerized workloads
Experience designing
RESTful
and
gRPC
APIs and using frameworks like
Gin
Hands-on experience with messaging systems (e.g.,
SQS
,
Kafka
)
Experience with
CI/CD pipelines
(GitHub Actions or similar)
Experience operating
PostgreSQL (RDS / Aurora), Neo4J(or similar)
Experience with
AI agents
, LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc
Experience with
AI stack
(AWS Bedrock, LangChain, pgvector or similar)
Experience with
Infrastructure as Code
(Terraform)
Experience with
monitoring, logging, observability
(Grafana, OpenTelemetry, Prometheus)
Ability to
troubleshoot
production issues end to end
Experience with
Coding CoPilots
(Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.)
Experience supporting
production SaaS platforms
Strong understanding of
SaaS integrations
and app-to-app permission flows
High ownership mentality, startup mindset, and ability to move quickly
Experience in
startup or scale-up environments
Low ego, high commitment, and a
true tech startup mentality
Strong
problem-solving skills
and ability to work in a collaborative environment
Excellent
English
communication skills
Nice-to-have requirements
Experience working with
Java
Ability to code in
Python
Experience with security architecture, identity security, or
security engineering
Familiarity with
compliance frameworks
(NIS2, DORA, ISO 27001, SOC 2)
Experience with
AWS
in production environments
Exposure to
graph-based modeling
(identity graph, access graph, risk graph)
Familiarity with
compliance frameworks
(NIS2, DORA, ISO 27001, SOC 2)
Understanding of
OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts
Familiarity with cloud identity and security controls (e.g.
IAM, CloudTrail, Azure Active Directory / Entra ID
)
Hands-on with SIEM platforms such as
Splunk, Microsoft Sentinel, or IBM QRadar
Experience designing
permission models, identity graphs, or access control frameworks
Knowledge of tokenization,
Zero Trust principles
, least privilege, and continuous verification
Experience with Security related to
AI/LLM systems, agent logic, or willingness to learn fast
Familiarity with
AI agent behavior
, LLM security, or agent sandboxing
Previous experience in
cybersecurity
, identity startups
You are a fan of
rock or metal
music
Excellent
German
communication skills
Benefits
Founding Team Member Equity
— ESOPs in a cybersecurity company
Competitive Compensation
— salary aligned with market, flexible early-stage arrangements possible
Founding Team Member Status
— shape the company from day one and own critical technical decisions
Fresh Funding Secured
— immediate runway to build, hire, and execute fast
Security Contribution
— contribute to security architecture across identity, AI agents, and enforcement
High Autonomy
— freedom to design and build without corporate overhead
Work with a Technical CEO and CPTO
— fast iteration, strong alignment, clear direction
Cutting-Edge Domain
— identity security, SaaS-to-SaaS access, AI agent governance
Massive Learning Curve
— quickly gain depth in cybersecurity, identity, and AI systems
Fast Career Path
— opportunity evolve into leadership as we scale the engineering team
Berlin Location
— top-tier tech environment with strong cybersecurity and AI ecosystems
Direct Impact
— your architecture and code become the foundation of the entire platform
Best Equipment and Tools
- High quality equipment and modern tools to help you do your best work from day one
Team Offsites -
Regular team offsites designed to build strong connections, alignment, and shared momentum
Location: London
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
You will join the Security team, responsible for protecting systems, data, and access across the organisation. The team works closely with application owners, IT Engineering, HR, and Security stakeholders to design and operate secure, automated identity and access management processes across enterprise platforms.
Your Future Role within QRT
Identity Lifecycle Management
Design, implement, and maintain automated processes for user provisioning, modification, and deprovisioning.
Ensure alignment between identity lifecycle policies and organisational access control requirements.
Integrate IAM solutions with HR systems, directories, cloud platforms, and enterprise applications.
Drive automation to eliminate manual identity and access management processes.
Application Integration & Identity Engineering
Design, develop, and maintain custom identity integrations, including SCIM 2.0 provisioning bridges.
Build and maintain connectors between IAM platforms and enterprise applications (cloud and on premises).
Engineer integration solutions for applications that do not natively support modern identity standards (SCIM, SAML, OIDC, REST APIs).
Facilitate redesign or refactoring of legacy or non-integrated applications to enable automated lifecycle management.
Develop middleware, APIs, or automation services to ensure secure identity data exchange.
Contribute to application architecture discussions to ensure identity and access integration requirements are embedded by design.
Troubleshoot and optimise identity integrations across the enterprise.
IAM Platform & Tooling Management
Configure, maintain, and enhance IAM platforms (SailPoint ISC).
Develop custom rules, workflows, connectors, and extensions within the IAM platform.
Monitor platform performance and proactively resolve system issues.
Collaborate with vendors and internal engineering teams to optimise IAM capabilities.
Security and Risk Management
Support risk assessments related to identity governance and application access.
Contribute to identity management policies, standards, and architectural guidelines.
Respond to identity-related incidents and support root cause analysis.
Ensure secure coding and integration practices are followed across identity engineering work.
Continuous Improvement & Innovation
Stay informed on industry trends, identity standards, and emerging IAM technologies.
Recommend enhancements to improve governance maturity and reduce operational overhead.
Participate in cross-functional engineering initiatives to expand identity automation capabilities.
Promote identity-as-code and infrastructure-as-code approaches where appropriate.
Your Present Skillset
Bachelor’s degree in computer science, Information Security, Software Engineering, or related field.
5+ years of experience in IAM Engineering or Application Integration Engineering.
Strong software engineering background with experience building production-grade integrations.
Hands-on experience with IAM platforms such as SailPoint (IIQ or ISC) or similar.
Proven experience developing SCIM 2.0 integrations and custom provisioning connectors.
Strong experience working with REST APIs, JSON, OAuth2, SAML, OIDC, and modern authentication protocols.Experience integrating identity solutions with cloud and on-prem enterprise applications.
Experience redesigning or enabling identity integration for non-integrated or legacy applications.
Strong scripting and automation skills (e.g., Python, PowerShell).
Experience with version control systems (e.g., Git) and CI/CD pipelines.
Solid understanding of RBAC, ABAC, SSO, MFA, and directory services (AD/Azure AD).
Familiarity with security and compliance standards (ISO 27001, SOX, GDPR).
Excellent problem-solving, analytical, and communication skills.
Preferred
Experience contributing to application codebases to enable identity integration.
Experience building middleware or identity proxy services.
Knowledge of containerisation (Docker/Kubernetes) and cloud-native integration patterns.
Exposure to DevSecOps practices.
Financial services industry experience.
CISSP, CISM, or equivalent security certification.
IAM-specific certifications (e.g., CIAM, SailPoint Certified Implementation Engineer).
SailPoint certifications (IIQ or ISC).
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Serbia
Workplace: remote
ABOUT YOU
We are looking for a Senior Software Engineer (React Native) who is architecturally strong, quality-driven, and highly collaborative to join our Mobile Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to lead mobile architecture decisions, build scalable cross-platform applications, and drive shared code strategies across web and mobile ecosystems.
Strong expertise in React Native and JavaScript/TypeScript, along with deep knowledge of mobile architecture patterns and state management, is essential, along with experience in building and delivering commercial mobile applications from concept to launch. The ability to design scalable architectures, implement robust testing strategies (including E2E), optimize performance, and mentor other developers while collaborating across cross-functional teams will be key to your success in this role.
If you're passionate about building high-quality mobile experiences that scale and love creating seamless app ecosystems that power gaming, virtual currency, and digital commerce experiences, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visitxsolla.com.
Responsibilities
Develop and maintain mobile applications using React Native for iOS and Android platforms.
Implement best practices for mobile development, including code review, testing strategies, and CI/CD processes.
Deliver high-quality features on time throughout the development lifecycle.
Build scalable and maintainable features within the existing application architecture.
Collaborate with product and design teams to implement technical solutions that meet business goals.
Integrate mini-apps and virtual currency systems with the Xsolla App ecosystem.
Work with cross-functional teams, including developers, QA engineers, and project managers.
Participate in technical discussions to align development work with business objectives.
Communicate effectively across distributed teams.
Architecture & Design
Design and implement scalable application architecture for React Native mobile apps with a focus on maintainability, performance, and developer experience.
Lead architectural decisions around shared code strategies between React web and React Native mobile platforms.
Establish and enforce coding standards, design patterns, and best practices across the mobile development team.
Create technical specifications and architecture documentation for complex features and systems.
Build and maintain a robust monorepo infrastructure using tools like Nx, Turborepo, or similar.
Configure and optimize build pipelines, dependency management, and workspace configurations.
Implement efficient caching strategies and incremental builds to optimize CI/CD performance.
Manage versioning, publishing, and dependency relationships between packages.
Design and develop a comprehensive shared component library that works seamlessly across React and React Native.
Create platform-agnostic business logic, utilities, and services that can be consumed by both web and mobile.
Build tooling and documentation to enable other developers to easily leverage shared code.
Implement adaptive components with platform-specific implementations where necessary while maintaining a unified API.
Establish patterns for sharing type definitions, hooks, contexts, and state management across platforms.
Qualifications & Skills:
5+ years of experience in mobile application development with a strong focus on React Native.
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
Proven track record of delivering commercial mobile applications from concept to launch.
Proficiency in React Native and JavaScript/TypeScript, with knowledge of native modules (Swift/Kotlin) as a plus.
Strong understanding of mobile architecture patterns and state management.
Experience with third-party integrations and APIs.
Strong problem-solving abilities and a results-driven approach.
Effective communication skills, both written and verbal.
Familiarity with gaming ecosystems and virtual currency platforms is a plus.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Tokyo, Japan
Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals.
As a
Business Operations Specialist
at Via, you'll run the invoicing, payment, and contracting work that keeps our business operations moving. You'll be part of a global company that is a world leader in transit technology, working with an international team on our mission to build better public transportation systems. At the same time, you'll join a smaller team in Tokyo, in a region where Via is growing rapidly, so your work has real visibility and plenty of room for you to grow with it. It's a fast-paced environment that values ownership, moving fast, and solving meaningful problems.
About the Role:
Own the invoice and payment process from start to finish: prepare and process invoices, PO requests, and payment documentation, and track down missing information so nothing stalls.
Drive contracting from first request to final signature: collect vendor details, prepare agreements, arrange signatures, and keep our contract logs accurate and up to date.
Build and maintain the trackers and filing systems the team uses to see where everything stands.
Be the go-to contact for internal teams and external partners, keeping communication fast, clear, and easy to follow.
Take part in legal document check-ins with our colleagues across the globe several times a month.
Keep day-to-day operations running smoothly, including scheduling and general administrative workflows.
Pick up ad-hoc coordination tasks as they come up: spot the next step, gather what’s needed, and move it forward without waiting for instructions.
About You:
At least 10 years of experience in operations, finance admin, invoicing, or coordination, ideally including managing commercial contracts.
Native-level or bilingual
Japanese
, written and spoken.
Business-level
English
or higher, written and spoken. English is our company language, and you’ll work with international teams.
Tech-savvy with hands-on experience in Google Workspace, Slack, Salesforce, or AI tools—or a proven track record of getting up to speed on new platforms fast.
Strong administrative skills and attention to detail.
A “get things done” mindset: you take initiative, respond quickly, and work independently with little supervision.
Resourceful and flexible, and happy to work in a fast-paced environment where priorities change and the job description isn’t always clear-cut.
Working Conditions:
Hourly rate of ¥2,500–3,000
You’ll start as a contractor for one year, with the potential to convert to full-time based on mutual discussion.
Core hours are 09:30–17:30, five days a week, for roughly 30–40 hours per week. Quarter-end periods require overtime work
Hybrid: one day a week in our Toranomon, Tokyo office, and remote the rest of the week.
Weekly legal document check-in meetings aligned with European time zones
Health insurance covered by the company, with a company top-up.
Commuting costs covered for commutes within 90 minutes of our Tokyo office.
There has never been a more exciting time to be on the cutting edge of public mobility.
Ready to join the ride?
Location: Netherlands
ROLE OVERVIEW:
You’ll lead and close high-stakes enterprise deals across the region, expand existing relationships, and create durable revenue streams with major organizations.
- Build and grow trusted relationships with CxOs, IT leaders, and Customer Service executives in large enterprises.
- Drive measurable growth within the accounts you own, turning them into long-term success stories.
- Expand Wonderful’s footprint by opening new doors and landing fresh enterprise customers.
- Hit - and exceed - activity, pipeline, and revenue targets, setting the bar for sales excellence.
- Keep customer details sharp and actionable in Salesforce: use cases, purchase timelines, next steps, and forecasts.
- Sell on value, not features using a solution-based approach that proves real business impact for customers.
REQUIREMENTS:
- 7+ years of smashing Sales quotas in SaaS or AI-driven solutions, consistently closing large, complex accounts with multi-stakeholder cycles
- Exceptional communication, presentation, and negotiation skills
- The ability to work independently, manage a sales pipeline, and prioritize effectively
- Excellent English (written and spoken).
- Native-level Dutch proficiency, both written and spoken.
- A passion for artificial intelligence and a "get-it-done" attitude
- A "hunter" mentality with a track record of generating new leads and closing deals
- A proven ability to navigate and win in early-stage, high-growth environments, staying sharp and effective with limited oversight
- Strong relationships with CxOs and senior decision-makers at enterprise level with the credibility to open new doors fast
- The skill to cut through tech jargon and turn technical capabilities into clear, compelling business value that makes executives lean in
- Proven wins working hand-in-hand with System Integrators and Hyperscalers to drive joint success
- Bachelor’s Degree (or equivalent hustle and expertise)
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Netherlands
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- 5+ years of experience building software or solving complex technical problems.
- Strong foundations in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, data flows, and distributed systems.
- The ability to bring structure and momentum to ambiguous problems.
- Confidence working directly with customers, from operational teams to technical stakeholders.
- Clear communication, sound judgment, and a strong sense of ownership.
- Genuine curiosity about applied AI and its potential to transform how businesses operate.
- Native-level Dutch proficiency, both written and spoken.
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Netherlands
WHAT YOU'LL DO
As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land.
Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.
This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.
- Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
- Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
- Define scope, success metrics, and integration plans for pilots and rollouts.
- Translate customer needs into clear deployment plans for engineering teams.
- Coordinate deployments across Product, Engineering, and customer stakeholders.
- Track progress, manage risks, and remove blockers throughout the deployment.
- Support production launches and ensure solutions are adopted and working as intended.
- Monitor deployed agents and drive follow-up improvements based on real usage.
- Identify additional use cases and expansion opportunities with customers.
You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.
WHY SHOULD YOU
- You’ll be part of what is tipped as the fastest-growing startup in Europe.
- Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.
- You’ll join a team of high-agency builders coming from the best tech companies out there.
- Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.
WHO YOU ARE
- Experience in deployment-focused, technical, or execution-oriented roles.
- Strong ability to structure ambiguous problems and turn them into concrete plans.
- Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
- Clear communication and strong stakeholder management skills.
- High ownership mindset and bias toward action.
- Interest in building and deploying AI-powered systems in real environments.
- Native-level Dutch proficiency, both written and spoken.
NICE TO HAVE
- Background in solutions engineering, technical consulting, or forward-deployed roles.
- Prior hands-on engineering experience.
- Experience supporting production software launches.
- Experience working in high-growth or early-stage environments.
WHY THIS ROLE EXISTS
Enterprises are ready to use AI, but execution is the hard part.
This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
senior
Porto, Portugal; Must be based in Portugal
Must be based in Netherlands
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