Location: Munich; Neuss; Berlin
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Role: Forward Deployed AI Engineer
- Department: Forward Deployed Engineering
- Location: Germany
- Reports to: VP, Forward Deployed Engineering
- Working type: Hybrid (On-site at customer locations approx. 50% of time)
- German security clearance (Sicherheitsüberprüfung Ü1/Ü2/Ü3)
- Must be eligible and able to attain relevant national and NATO security clearances
- Must be based in-country and native level speaker of the country you're deploying to.
THE MISSION OF THE FORWARD DEPLOYED AI ENGINEER
In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You’ll deploy ICEYE’s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it—everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
DAY TO DAY RESPONSIBILITIES:
PLATFORM DEPLOYMENT & INTEGRATION
- Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers).
- Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters.
- Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools.
- Troubleshoot deployment issues in disconnected environments without external internet access.
AI SOLUTION DEVELOPMENT & CUSTOMIZATION
- Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis.
- Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks.
- Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language.
- Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources.
DATA FUSION & INTELLIGENCE WORKFLOWS
- Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT).
- Develop automated workflows that correlate and cross-reference information across different data modalities.
- Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs.
CUSTOMER ENGAGEMENT & RAPID PROTOTYPING
- Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems.
- Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements.
- Conduct hands-on training sessions on platform capabilities and AI workflow usage.
- Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams.
WHAT WE ARE LOOKING FOR
MUST HAVE SKILLS:
- 3+ years hands-on software engineering building and deploying production systems.
- Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust.
- Hands-on experience with LLMs, prompt engineering, and RAG systems.
- Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases.
- Experience with Docker and deploying in secure / isolated / air-gapped environments.
- Practical experience with APIs, data pipelines, and integrating systems in production,
- Familiarity with Linux and basic Kubernetes operations.
- Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture.
- Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators.
- Strong spoken and written English, able to explain technical concepts to non-technical stakeholders.
- Willingness to travel 40–60% to customer sites within the region.
NICE TO HAVE SKILLS:
- Experience in defense, intelligence, or government operational environments.
- Deploying to on-prem data centers and/or air-gapped networks.
- Familiarity with geospatial data, satellite imagery, or remote sensing.
- Experience with MCP integrations, multi-agent systems, or agentic workflows.
- Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD.
- Understanding of intelligence analysis workflows and defense/government requirements.
- Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS).
- Background in solution engineering, technical consulting, or customer success.
- Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups).
APPLICATION PROCESS
- Talent Acquisition Interview
- Take home task
- Hiring Manager Interview
- Hiring Team Interview
- Offer Decision
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com https://www.iceye.com
ГибридMunich; Neuss; Berlin; Must be based in-country and native level speaker of the country you're deploying to
Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Corporate Security protects the environment Anthropic's people work in every day: their laptops and phones, their identities, the tools they collaborate in and the company data that flows through all of it. Everything that makes Claude what it is sits behind that environment. We keep company access on devices we manage, make those devices hard to compromise and right-size what any one of them can reach, while caring a great deal about the day-to-day experience of the people using them. The company is growing quickly and this team is growing with it, so we treat the work as an engineering discipline: controls as code and automation over queues, built to scale with headcount rather than strain against it.
As a Security Engineer here you'll drive significant parts of that work end to end. You'll set technical direction and turn it into shipped tooling. When a control collides with someone's workflow, you'll find the path that keeps them moving without giving up the protection. You'll be handed problems rather than task lists and you'll find as many yourself: threat-modeling the environment to surface what matters, fixing it and bringing the evidence that shapes what the team prioritizes next. This is a senior, hands-on individual contributor role.
Key responsibilities
Drive endpoint hardening across macOS, Windows, Linux, and ChromeOS, including device management configuration, application allowlisting, patching, and browser policy, favoring controls that are versioned, reviewable, and repeatable over one-off configuration
Extend device-trust and zero-trust access controls so company systems are reached from managed devices bound to the right person and carrying the right level of access, treating the experience of fellow employees as a design constraint rather than an afterthought
Build the automation and integrations that let the team scale with the company: joiner/mover/leaver automation across identity and device management, exception and expiry workflows, posture-driven policy, and Claude-assisted triage of review queues
Lead SaaS and identity governance, including third-party OAuth grants, delegated admin access, chat-platform apps, browser extensions, and software security reviews, turning recurring decisions into policy and tooling
Partner across the wider Security team, IT, and Engineering on telemetry, detections, and shared standards, and help define how a company that increasingly runs on AI agents does so securely and at scale
Minimum qualifications
Hands-on endpoint security engineering on macOS, Windows, Linux, or ChromeOS, such as MDM and declarative device management profile engineering, application allowlisting or binary authorization, system extensions and endpoint security frameworks, or their platform equivalents
Proficiency in Python and scripting languages generally; you architect and build integrations, automation, and internal tooling as a normal part of the job, and can write a detection when the work calls for it
Working depth in identity and access management, SaaS security, and zero-trust access
Threat-modeling judgment that finds the problems worth solving and the ability to scope them, define "done," and drive them to completion
Care for Anthropic's mission and the part corporate security plays in it
Preferred qualifications
Experience defining the scope and choosing the tooling for a security program rather than inheriting it
Experience shipping an enforcement change to a large user population: using data to find what will break before it does, staging the rollout, building the alternative path for affected workflows, and moving people onto it ahead of enforcement
Endpoint depth across more than one of macOS, Windows, Linux, and ChromeOS, with the judgment to harden for the threats that matter rather than to a checklist
Mobile security across managed and BYOD contexts, including protecting people and devices in higher-risk settings such as international travel
Experience bringing security governance to a modern SaaS environment, including third-party integrations, delegated access, and the long tail of internally built and AI-generated apps, in a way that speeds decisions up rather than slowing them down
Configuration-as-code, infrastructure-as-code, and CI/CD applied to corporate infrastructure
LLM-assisted security tooling you built that materially changed what a team could cover, and the judgment to know which work to hand to a model, which to keep, and how to combine the two
A track record of getting security controls adopted across an organization through influence and partnership rather than authority
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States (Remote)
Workplace: Remote
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
THE ROLE
As the Analytics Engineering Manager at OnePay, you will lead a high-performing team focused on transforming raw data into actionable insights that drive strategic business decisions. Your work will directly impact our product, marketing, and business operations by ensuring data is accessible, reliable, and actionable. You will:
- Lead, mentor, and grow a team of analytics engineers responsible for building and maintaining robust data pipelines and analytical models
- Partner cross-functionally with Product, Engineering, Growth, and Operations to deliver scalable data solutions and reporting
- Establish and champion data best practices, governance, and quality standards across the organization
- Drive the design and optimization of our data analytics infrastructure, ensuring reliability and scalability
- Oversee analytics project prioritization, delivery, and stakeholder communication
YOU BRING
- 7+ years of experience in data engineering, analytics engineering, or business intelligence, with at least 2+ years in a technical leadership or management role
- Advanced expertise in SQL, Databricks, and dbt
- Experience architecting and scaling data transformation pipelines in a modern cloud environment
- Strong understanding of analytics best practices, including data modeling, testing, and documentation
- Track record of collaborating with multiple stakeholders (product, engineering, marketing) to deliver data-driven business impact
- Experience leading and developing high-performance technical teams
- Drive and proactivity – everyone here is a builder and executor
TOOLS WE USE
We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.
WHAT WE OFFER
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Location: Remote Roles - EMEA
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
The Compliance function at OKX is responsible for the overall compliance culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk.
In this role, you will own OKX's Global Customer Complaints Program and report directly to the Compliance Chief of Staff. You will work closely with Local Compliance, Legal, Customer Support, Product, Operations, and Risk teams to promote consistent complaint handling across jurisdictions, maintain alignment with regulatory requirements, and provide effective second-line oversight and challenge.
A key part of the role will be turning customer complaints into actionable compliance and conduct-risk intelligence. You will oversee complaints governance and quality assurance, identify trends and potential systemic issues, support root-cause analysis and remediation, and provide senior leadership with clear reporting on customer outcomes and emerging risks.
You will also support the development, coordination, and tracking of responses to regulators, working directly with Legal and Local Compliance teams on regulatory inquiries, escalated complaints, and related supervisory matters. This requires strong regulatory judgment, excellent written communication, and the ability to coordinate complex matters across multiple teams and jurisdictions.
What You’ll Be Doing
Develop, coordinate, and track responses to regulatory inquiries, examinations, and escalated complaints, partnering with Legal and Local Compliance teams to gather and validate facts, prepare clear and defensible responses, manage review and approval processes, meet regulatory deadlines, and track resulting commitments, remediation, and follow-up through closure.
Maintain global regulatory alignment by partnering with local Heads of Compliance to identify changes in jurisdictional requirements and ensure global policies, standards, procedures, and local requirements remain current and appropriately implemented.
Oversee the end-to-end complaints control framework, including complaint identification and classification, regulatory and internal service-level requirements, escalation thresholds, documentation standards, investigation and resolution expectations, and closed-loop validation.
Own the second-line oversight and quality assurance, including risk-based testing of complaint handling, identification of control gaps and customer-outcome issues, tracking of remediation, and escalation of issues.
Turn complaint data into actionable compliance and conduct-risk intelligence by monitoring trends, recurring issues, root causes, regulatory complaints, overdue cases, customer outcomes, and potential systemic issues requiring broader investigation or remediation.
Own complaints governance and executive reporting, including reporting to compliance committees and serving as the standing owner of the complaints agenda for compliance leadership meetings.
Maintain the complaint management database, service level agreement adherence, and escalation thresholds across all regions.
Serve as the central Compliance point of contact for material complaint matters, including complaints or inquiries escalated to regulators, ensuring consistent governance, appropriate escalation, and defensible documentation.
Drive continuous improvement of the framework, using QA results, regulatory developments, complaint trends, and lessons learned to strengthen controls and improve customer outcomes globally.
What We Look For In You
Strong experience developing and managing responses to regulators is required, including regulatory inquiries, information requests, examinations, escalated customer complaints, and other supervisory matters. Demonstrated ability to coordinate cross-functional inputs, develop clear and defensible written responses, manage regulatory deadlines, and track resulting commitments and remediation through closure.
Significant experience in regulatory compliance, conduct risk, consumer protection, complaints oversight, or a related discipline, ideally within a highly regulated and globally distributed organization.
Demonstrated experience owning or overseeing a multi-jurisdictional compliance framework, including translating regulatory requirements into scalable global standards, controls, monitoring, and governance while appropriately incorporating local requirements.
Strong regulatory and customer-outcome judgment, with the ability to distinguish individual service issues from matters presenting potential regulatory, conduct, consumer-harm, reputational, or systemic risk.
Demonstrated experience with root-cause analysis and systemic remediation, including assessing whether broader customer populations may be affected and driving appropriate corrective action.
Strong second-line oversight and challenge capabilities, with experience designing or operating risk-based monitoring, QA, issue escalation, remediation tracking, and governance processes.
Strong analytical and reporting capabilities, trend analysis, SLA monitoring, management information, and executive reporting.
Excellent written and verbal communication skills, with the ability to communicate clearly with regulators, Legal, Compliance, senior executives, and cross-functional stakeholders.
Proven ability to influence geographically dispersed teams and senior stakeholders.
Nice to Haves
Experience designing or overseeing a global customer complaints program across multiple regulatory regimes, particularly the United States, United Kingdom, European Union, APAC, LATAM, and/or Middle East.
Familiarity with complaints-handling and customer protection expectations across major global regulatory regimes, including those established by the FCA, CFPB, MAS, European Supervisory Authorities (EBA, ESMA and EIOPA), and other relevant national competent authorities and dispute-resolution bodies.
Relevant professional certification or advanced qualification such as CAMS, CFE, CRCM, CCEP/CCEP-I, ICA compliance qualifications, CIA, CRCMP, JD or equivalent legal qualification, or a comparable compliance, risk, or audit credential.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Public Sector Account Executive to drive the adoption of safe, frontier AI across governments in Southeast Asia, establishing and growing Anthropic's presence in this strategic region. Based in Singapore, you'll leverage your consultative sales expertise and deep understanding of public sector landscapes across ASEAN markets to grow revenue while becoming a trusted partner to government customers, helping them embed and deploy AI and uncover its full range of capabilities. Working with ministries, statutory boards, and agencies across the region, you'll navigate diverse procurement, security, and compliance environments to build long-term strategic partnerships. In collaboration with GTM, product, policy, and marketing teams, you'll help define our market entry strategy and value proposition for public sector customers across ASEAN.
Key responsibilities
Lead Anthropic's market entry and expansion across ASEAN public sector markets, building relationships with key stakeholders across ministries, statutory boards, and government agencies in Singapore and throughout the region
Own the full sales cycle for public sector opportunities across ASEAN, from initial outreach through to successful deployment, with a focus on building long-term strategic partnerships
Navigate the procurement requirements, security standards, and compliance frameworks specific to government technology adoption in each market—including GeBIZ procurement and IM8 security requirements in Singapore—and prioritise markets based on opportunity and readiness
Collaborate with policy teams to ensure alignment with national AI strategies and digital government initiatives across the region, such as Singapore's National AI Strategy and Smart Nation programme and the ASEAN Guide on AI Governance and Ethics
Design and execute sales strategies tailored to each public sector environment, meeting and exceeding revenue targets while maintaining strong relationships with procurement teams and decision-makers
Provide market intelligence and feedback to product teams to ensure our offerings meet regional public sector requirements, including data sovereignty, data residency, and localisation considerations that vary by country
Build and maintain relationships with systems integrators, in-country partners, and technology partners across ASEAN markets
Develop and document best practices for public sector engagement in each market, creating playbooks that scale our presence across the region
Serve as a leader within the broader public sector team, sharing insights and collaborating on cross-market opportunities
Minimum qualifications
12+ years of enterprise sales experience in public sector markets across ASEAN, with a proven track record of driving adoption of emerging technologies
Deep understanding of government procurement processes, security requirements, and technology adoption frameworks in Singapore (including GeBIZ and IM8), and familiarity with equivalent frameworks in other ASEAN markets
Strong track record of managing complex sales cycles and securing strategic deals in the public sector
Experience navigating multiple stakeholders across ministries and agencies in culturally diverse markets, building consensus and providing innovative solutions
Experience working with in-country partners and channel ecosystems to reach markets where direct presence is limited
Excellent communication skills and the ability to present confidently to all levels, from technical teams to senior government officials
Eligibility to handle classified government information as required
Ability to work independently while maintaining strong collaboration with global teams, with willingness to travel regularly across the region
Bachelor's degree in a related field or equivalent experience
Preferred qualifications
Experience working with agencies such as GovTech, and familiarity with national digital transformation initiatives across the region
Demonstrated ability to build and grow new market segments across multiple countries, with potential to develop into a leadership role
Strategic thinking combined with hands-on execution capabilities
Proficiency in a regional language beyond English
A passion for safe and ethical AI development, with the ability to articulate its importance in the public sector context
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking an Enterprise Account Executive to join the foundational team introducing Anthropic's frontier AI to large enterprises across Southeast Asia. Based in Singapore, you will drive adoption of safe, frontier AI by securing strategic deals with major corporations across industries including financial services, healthcare, technology, manufacturing, and telecommunications throughout the ASEAN region. You'll leverage your consultative enterprise sales expertise to grow revenue while becoming a trusted partner to C-suite and senior technical stakeholders, helping them embed Claude across business operations, research, and administration. As Anthropic's senior in-market commercial presence for ASEAN, you'll shape our regional go-to-market strategy and lay the groundwork for a dedicated Southeast Asia footprint.
Key responsibilities
Own and exceed revenue targets by winning new enterprise accounts and expanding existing relationships across ASEAN countries.
Serve as senior regional coverage for Anthropic's most strategic ASEAN enterprise accounts, building executive relationship depth and commercial momentum through consistent in-market engagement
Build and execute territory plans that identify high-value opportunities across key ASEAN industries, accounting for differences in market maturity, regulatory environment, and buying behaviour between countries
Lead consultative sales processes with C-suite and senior technical stakeholders, positioning AI as a strategic business transformation driver
Orchestrate internal teams—Product, Engineering, Applied AI, Partnerships—to deliver tailored solutions for complex enterprise requirements
Translate technical AI capabilities into compelling business value propositions suited to the needs of Southeast Asian enterprises
Identify new use cases and contribute to ASEAN go-to-market strategy, providing feedback that shapes product roadmap and regional approach
Represent Anthropic across Southeast Asia, building executive relationships with enterprise, partner, and government stakeholders and raising Anthropic's profile within the regional technology community
Minimum qualifications
12+ years in enterprise sales, GTM, business development, or account management with direct, in-market Southeast Asia operating experience
A track record of managing complex, multi-stakeholder sales cycles and securing strategic deals in ASEAN markets by translating multifaceted technical requirements into tailored solutions
Existing commercial network across enterprise and partner communities in Singapore and at least one or two additional ASEAN markets
Strong commercial instincts, with the ability to identify, prioritise, and advance high-value opportunities without heavy oversight
Comfort operating as a generalist regional presence—equally effective in an enterprise sales conversation, a partnership discussion, or a government stakeholder introduction
Excellent communication and presentation skills, with cultural fluency across ASEAN business environments
Based in, or willing to relocate to, Singapore, with eligibility to work in Singapore and the ability to travel frequently across Southeast Asia
Bachelor's degree in a related field or equivalent experience
Preferred qualifications
Experience selling AI/ML, cloud, data platforms, or enterprise SaaS to regulated industries such as financial services or healthcare
Experience working with hyperscaler or channel partners to co-sell into regional enterprise accounts
Prior experience establishing or scaling a new market or region for a high-growth technology company
Working proficiency in a Southeast Asian language in addition to English (e.g. Bahasa Indonesia, Thai, Vietnamese)
Familiarity with regional data residency, AI governance, and procurement frameworks relevant to enterprise buyers
A passion for and/or experience with advanced AI systems, and a strong interest in ensuring frontier AI is developed safely
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Brazil; Poland; Argentina; Colombia
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are looking for a Forward Deployed Engineer to work directly with clients on high ambiguity GenAI, agentic AI and AI-enabled workflow transformation initiatives. This role is designed for someone who can operate at the intersection of customer discovery, hands-on engineering, solution architecture, early delivery and production adoption.
You will work closely with client stakeholders and users to uncover the real operational problem, build thin end-to-end solutions with real systems and data, validate feasibility, shape the delivery path and stay involved through MVP or first production release to assure alignment with expected outcome.
ROLE MISSION
Your mission is to turn ambiguous customer problems into validated, production-grade AI solutions.
You will help Solvd move from “we can build this” to “we have proven this works in the customer’s real operating environment.” You will bridge presales, discovery, prototyping and delivery, while converting field learnings into solution blueprints and service accelerators.
YOUR RESPONSIBILITIES
- Lead discovery and solution shaping for GenAI / Agentic AI initiatives, working directly with client stakeholders, users and technical teams to understand workflows, systems, data and business constraints.
- Drive early-stage opportunities partnering with account executives, product analysts and technology SMEs to prototype, define scope, implementation roadmap and effort estimates.
- Translate ambiguous business problems into validated AI solution designs covering model strategy, data access, orchestration, tool use, integration patterns and production constraints.
- Build proof-of-concepts fast, prioritizing speed and impact over perfect design, technical spikes to validate architectural assumptions using real or representative systems and data.
- Evaluate and select appropriate AI frameworks, platforms and tools, including LLMs, vector databases, orchestration frameworks, cloud AI services and agentic tooling.
- Present, defend and explain complex AI, architecture and delivery concepts in simple, practical terms for both business and technical stakeholders.
- Stay involved through MVP or first production release to preserve context, support delivery teams and validate that the solution works in the customer’s operating environment.
- Define evaluation criteria for AI quality and business impact, including accuracy, groundedness, tool-call correctness, latency, cost, adoption and workflow effectiveness.
- Ensure proposed solutions adhere to security, compliance, Responsible AI, observability and production-readiness principles.
- Convert field learnings into reusable Solvd assets, including solution blueprints, evaluation frameworks and service accelerators.
OUR REQUIREMENTS
- A seasoned hands-on technical leader who has evolved from full-stack or server-side software engineering into the GenAI and agentic AI domain.
- Experienced in designing, prototyping and integrating systems that combine LLMs, agentic frameworks, enterprise data and business workflows.
- Proficient at combining established engineering patterns with emerging AI capabilities to deliver reliable, production-ready solutions.
- Skilled in guiding teams and clients through ambiguity - able to prototype rapidly, validate assumptions and converge toward delivery-ready designs.
- Comfortable engaging with executives, product teams, operational users and engineers alike, translating complex AI concepts into clear, actionable solution narratives.
- Pragmatic, curious, collaborative and obsessed with customer problem — equally focused on technical soundness, business value, user adoption and delivery readiness.
- 8+ years of experience in IT, including strong experience in software design and engineering.
- 2+ years of hands-on experience architecting or building GenAI or agentic AI systems using modern LLM ecosystems, such as OpenAI, Anthropic, Gemini, Azure AI or AWS Bedrock.
- Experience supporting presales solutioning, discovery, prototyping or early delivery for AI engagements.
- Strong understanding of LLM orchestration, retrieval-augmented generation, vector databases, prompt engineering and tool-calling patterns.
- Understanding of cost modeling for AI workloads, including token usage, inference scaling and hosting models.
- Proficiency with at least one major cloud platform, such as AWS, Azure or GCP, and its AI/ML service offerings.
- Demonstrated experience leading technical discussions with both engineering and non-technical stakeholders in presales, discovery or early delivery phases.
- Strong command of software engineering fundamentals, API design, integration patterns and production-readiness practices.
- Knowledge of modern software delivery practices, including CI/CD, containerization, observability and DevSecOps.
- Excellent communication, presentation and documentation skills, with the ability to articulate complex solutions clearly and persuasively.
OPTIONAL
- Prior experience as a Forward Deployed Engineer, Field Engineer, staff engineer, solution architect or technical product lead.
- Prior experience with traditional AI/ML systems, including model training, MLOps, data pipelines or feature stores.
- Familiarity with frameworks for agentic or multi-component AI pipelines.
- Exposure to Responsible AI, data privacy and governance frameworks.
- Hands-on experience with Databricks or Snowflake.
- Experience creating reusable solution blueprints, evaluation frameworks or technical accelerators.
- Industry-recognized cloud and AI certifications from Anthropic, AWS, Azure or Google.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: France
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
WHY THIS ROLE?
We're seeking an exceptional Customer Success Manager with deep expertise in the French public sector and government landscape to lead our most strategic government accounts. This role requires an individual who understands both the transformative potential of frontier AI and the unique requirements of French government organizations.
WHAT YOU'LL DO
STRATEGIC CUSTOMER PARTNERSHIP:
- Own the success, adoption, and growth of Cohere's French public sector customers, ensuring they realize maximum value from our AI solutions
- Build deep, trusted relationships with senior French government stakeholders, including Ministres d'État, Préfets, CIOs, digital transformation leads, and ministerial executives
- Develop comprehensive success plans tailored to each organization's mission, digital strategy, budget cycles (lois de finances), and unique constraints
- Serve as the primary point of contact and executive sponsor for your accounts, managing escalations and ensuring customer satisfaction
- Define and track success metrics aligned with French public sector priorities: citizen satisfaction, service delivery improvements, cost savings, operational efficiency, accessibility outcomes
AI ADOPTION & IMPLEMENTATION LEADERSHIP:
- Guide customers through the full lifecycle of AI adoption—from use case identification and pilot design through production deployment and scaling
- Lead secure AI implementation projects in complex French government environments, including sensitive systems and on-premises deployments
- Navigate the unique challenges of French public sector AI adoption: legacy system integration, data sensitivity, lengthy approval processes (marchés publics), and regulatory compliance requirements
- Create and execute change management strategies to drive user adoption and value realization across diverse government workforces
- Conduct regular executive business reviews with senior stakeholders, demonstrating ROI, impact, and strategic value
- Drive contract renewals and account growth by consistently delivering value and building trusted relationships
CUSTOMER ADVOCACY & PRODUCT INFLUENCE:
- Serve as the voice of the French public sector customers within Cohere, advocating for features and capabilities that address government-specific needs
- Provide strategic feedback to Product and Engineering teams on requirements related to security, explainability, accessibility, French language support, and ethical AI
- Contribute to the development of French public sector-specific offerings, implementation playbooks, documentation, and best practices
- Share customer insights to inform Cohere's French public sector go-to-market strategy and positioning
- Represent Cohere at French government forums, working groups (groupes de travail), roundtables, and industry events
YOU MAY BE A GOOD FIT IF:
REQUIRED EXPERIENCE:
- 8+ years of experience in customer success, account management, strategic consulting, or technology delivery roles within enterprise or French government contexts
- At least 3-5 years working directly with French ministries, regional authorities, or public institutions in a technology, digital transformation, or consulting capacity
- Proven track record of managing complex, strategic accounts with multiple stakeholders, long sales cycles, and multi-year implementation timelines
- Experience leading AI/ML, cloud, or enterprise software implementations in secure or highly regulated environments
- Experience developing and executing customer success strategies, QBRs, and executive engagement programs
- Deep understanding of how French government organizations evaluate, procure (following Code des marchés publics), implement, and govern technology solutions
- Active Confidentiel-Défense or higher security clearance (mandatory)
- Fluent French language proficiency—essential for working across the French public sector
FRENCH PUBLIC SECTOR & GOVERNMENT ACUMEN:
- Comprehensive knowledge of the French public sector ecosystem: central ministries, regional governments (régions), departmental authorities (départements), public enterprises, and critical infrastructure
- Knowledge of relevant legislation and frameworks: RGPD, loi Informatique et Libertés, ANSSI standards, accessibility standards
- Experience with French government cloud strategies and security frameworks: France Cloud, Souveraineté numérique
NICE TO HAVE:
- 3+ years specifically managing GenAI, LLM, or conversational AI implementations
- Experience with specific French public sector digital transformation initiatives: France Relance, France 2030
- Direct experience working with French defense, intelligence, public safety, or national security organizations
- Background in management consulting, systems integration, or digital transformation consulting for French public sector clients
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Munich, Germany
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
WHO WE ARE:
This role sits on the EMEA Leadership Team and reports to the General Manager, EMEA.
WHAT YOU'LL ACHIEVE:
- Own the GTM strategy, operating rhythm, and growth plan for Germany, with accountability for overall regional revenue outcomes across Sales Assist and Self Serve contribution.
- Lead as a second-line manager: hire, coach, and develop frontline leaders and IC teams across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, and supporting GTM functions.
- Scale a country-first GTM motion that brings Notion closer to German customers through local executive engagement, market nuance, and faster field-level decision-making.
- Accelerate the land engine by opening the right front doors, growing professional workspaces, increasing net-new and upgrade opportunities, and connecting self-serve signals to sales-assisted motion.
- Win lighthouse customers and turn them into market momentum by making them wildly successful, telling their story locally, and using those wins to influence peer companies across Germany.
- Embed Notion’s AI-era GTM model across the team, including agent-enabled customer journeys, first-agent workflow activation, AI/agent demo proficiency, and stronger “build with the customer” motions.
- Make agentic transformation central to the German GTM motion: help customers identify high-value workflows, build and deploy Notion Agents, automate cross-functional work, and measure outcomes from AI adoption.
- Partner tightly with Solutions Consultants, Outcomes Architects, Forward Deployed Architects/Engineers, Professional Services, and Channel to reduce handoffs and deliver faster, more durable customer value.
- Build “sell with” partner motions in Germany, including partner-sourced pipeline, co-sell plays, enablement, AI/agentic solution packages, and joint account planning.
- Establish Notion as a visible force in the German ecosystem through executive dinners, field events, startup and community engagement, partner activations, and customer advocacy.
- Represent the voice of German customers back to Product, PMM, Marketing, and EMEA leadership, especially around AI transformation, enterprise requirements, security, compliance, localization, and competitive dynamics.
- Create a talent destination in Germany by hiring builder-oriented leaders and ICs, raising the craft bar, and developing the next generation of AI-native GTM talent.
- Drive operational excellence across forecasting, pipeline quality, territory planning, inspection cadence, performance management, and cross-functional execution.
WHO WE'RE LOOKING FOR:
A strategic and hands-on GTM operator who has scaled enterprise SaaS or AI businesses in Germany and knows how to build a market, not just inherit one. You have led through managers, owned complex revenue outcomes, and created local market momentum through customers, partners, community, and talent.
You combine second-line leadership with builder energy. You can set a crisp country strategy, install the operating system to execute it, and step into the field when needed — whether joining an executive customer conversation, sharpening a pipeline plan, coaching a manager, or helping the team translate a customer problem into an AI-powered, agentic workflow.
You are excited by Notion’s shift to an AI-native, country-first GTM model and believe the best GTM teams will increasingly be builders: BDRs who identify transformation opportunities, Solutions Consultants who build with customers in the room, Outcomes Architects who turn early workflows into durable adoption, and Forward Deployed Architects/Engineers who design the technical systems behind complex agentic workflows.
SKILLS YOU'LL NEED TO BRING:
- 12+ years of professional experience, including 5+ years SaaS or AI sales & GTM teams in Germany.
- Proven second-line leadership experience, including hiring, coaching, and developing frontline managers and high-performing IC teams.
- Track record of owning and exceeding revenue targets across new business, expansion, and renewal/churn dynamics.
- Deep knowledge of the German enterprise and startup ecosystem, including executive buyer networks, local partner channels, and market-specific buying dynamics.
- Experience building or scaling a regional/country business in a high-growth or ambiguous environment.
- Experience selling, implementing, or leading GTM teams around AI, automation, agentic workflows, collaboration, productivity, developer, or data products.
- Strong strategic judgment: ability to define a country plan, segment the market, prioritize accounts and plays, and align cross-functional teams around outcomes.
- Operational rigor across forecasting, pipeline generation, inspection, performance management, territory planning, and sales process.
- Executive presence with CIO, CTO, CPO, COO, and business transformation buyers, with the ability to shape a compelling AI and agentic workflow narrative.
- Strong understanding of modern GTM motions across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, Professional Services, Channel, Marketing, RevOps, and Product.
- Builder mentality and deep AI curiosity: comfortable learning, demoing, and coaching teams on agent-first workflows, proof-of-value motions, and customer co-building.
- Fluency in German and English.
NICE TO HAVES:
- Experience launching or scaling a country-first or regional GTM operating model.
- Familiarity with enterprise security, compliance, APIs, webhooks, connectors, data residency, AI governance, and technical evaluation processes.
- Experience scaling partner, channel, marketplace, or consultant-led GTM motions around AI or workflow transformation.
We’re an equal opportunity employer and encourage candidates to apply even if not matching every bullet.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated on target earnings (including base salary and on target incentive pay) for this role is €350,000 - 420,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: European Union; Ukraine
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We are looking for a Data Analytics Engineer to build, optimize, and maintain the analytical data layer that powers decision-making across the organization. You will transform business requirements into reliable, well-modeled datasets using dbt, SQL, and cloud data warehouses (BigQuery, ClickHouse). This role combines data modeling, documentation, data quality design, and close collaboration with analysts, engineers, and product teams to ensure consistent, trustworthy reporting.
You will serve as the bridge between raw data ingestion and analytics — shaping how data is structured, validated, and delivered.
Responsibilities
- Design, build, and maintain dbt models (staging, core, marts) based on business needs
- Develop scalable SQL transformations and ensure efficient, cost-effective query performance
- Implement data quality tests (dbt tests, custom checks, anomaly detection) and maintain high data reliability.
- Create and maintain documentation for datasets, data lineage, business logic, and transformation rules
- Collaborate with Data Engineers on improving raw data structures, ingestion patterns, and source readiness
- Partner with Data Analysts, Product Managers, and Marketing teams to translate business requirements into clean, reusable data models
- Monitor data pipelines and marts, resolve issues, and prevent inconsistencies in reporting
- Support governance initiatives: naming conventions, taxonomy, schemas, metric definitions, and standardization
- Contribute to continuous improvement of our data modeling frameworks, performance tuning, and technical decision-making
Requirements
- Strong SQL experience with a deep understanding of analytical modeling concepts
- Hands-on experience with dbt (models, tests, docs, macros)
- Experience working with cloud data warehouses such as BigQuery or ClickHouse
- Understanding of data modeling patterns
- Familiarity with data engineering concepts (ELT/ETL, orchestration, version control, CI/CD)
- Experience with data quality frameworks or implementing validation logic
- Ability to translate complex business processes into clean analytical datasets.
- Strong documentation skills and attention to detail
- Experience collaborating with cross-functional teams and supporting analysts with reliable data
- Knowledge of Python is a plus (but not required)
Nice To Haves
- Experience with orchestration tools (Airflow, Dagster)
- Experience working with marketing, product, or billing datasets
- Exposure to metric layers, semantic layer design, or BI governance
- Basic understanding of observability tooling (Grafana, Prometheus, ... )
- Experience optimizing BigQuery costs or ClickHouse performance
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (90 minutes)
- Final Interview (60 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Location: Remote (USA)
Workplace: remote
Arcadia is the most trusted healthcare platform powering outcomes. We transform complex healthcare data into trusted intelligence, helping providers, payers, and life sciences organizations act with clarity, make confident decisions, and achieve measurable clinical, operational, and financial outcomes.
Built on a comprehensive data foundation spanning tens of millions of patient lives, Arcadia combines advanced analytics and responsible AI to surface meaningful insights, coordinate action, and improve performance at scale. Our approach to AI and automation is governed and transparent — designed to strengthen human expertise, not replace judgment or obscure responsibility.
Hundreds of organizations rely on Arcadia to improve cost, quality, and outcomes. Backed by Nordic Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping healthcare deliver better outcomes for every person, every community, and every generation.
Why This Role Is Important to Arcadia
Arcadia’s data and analytics platform is used by hundreds of health systems, ACOs, payers, and life sciences organizations, touching tens of millions of patient lives. This role owns how our agentic capabilities perform at that same scale: accurate, transparent about their own confidence, and safe for the clinicians, care teams, and patients who depend on them.
As a staff-level individual contributor, you will own the product-layer decisions that shape agent behavior, including prompting, retrieval and context, memory and state, evaluation, and escalation, while partnering with Product and Engineering on the systems that support them. Your work will help Arcadia make evidence-based launch decisions and scale responsible AI that is steerable, trustworthy, and ready for real healthcare workflows.
What Success Looks Like
In 3 months
You have established a production-grounded baseline for priority agentic workflows, with documented failure modes, severity-weighted evaluation rubrics, and a clear measurement plan
You have mapped the current retrieval, context, memory, and escalation patterns and identified the highest-value opportunities to improve reliability, calibration, and cost
You have earned trust across Product and Engineering by turning production evidence into clear, actionable recommendations
In 6 months
What You'll Be Doing
Design and
iterate on
agent behavior across real, live workflows, including long-
horizon
, multi-turn agentic tasks
Design retrieval and context architecture so the right source data reaches a model in the right
structure
and agents
remain
grounded in real data rather than filling gaps with assumptions
Design memory and state handling across multi-turn and multi-agent flows,
determining
what is carried forward, summarized, or dropped and why
Create context and prompt templates that combine few-shot examples, structured formatting, and reasoning scaffolding for consistent agent behavior
Improve performance through prompting, tool-use strategy, and context construction,
validated
through direct experimentation rather than guesswork
Build and run evaluations against real production conditions to measure performance,
regressions
, failure modes, and edge cases
Author evaluation rubrics, quality heuristics, and thresholds that weight failures by severity and cost
,
not just frequency
,
and
monitor
those measures against production behavior
Design and
validate
escalation paths that route agents to human review based on confidence and uncertainty while preserving safety and consistency under adversarial and edge-case conditions
Design for cost-aware performance alongside latency, reliability, and accuracy through efficient context construction and tool-call economy
Evaluate and sign off on model changes by baselining current behavior, running comparative evaluations, and making the go/no-go call before a change reaches a customer
Maintain product-level AI documentation, including model cards, intended use, limitations, and known failure modes, so customer-facing teams work from actual agent behavior
Partner closely with Product and
product managers
to ensure agents are not just capable, but steerable, trustworthy, and ready to scale
What You'll Bring
Bachelors degree in Engineering or related field and/or masters of Data Science or related field
4+ years of production software engineering experience, including 3+ years of hands-on ownership of ML, LLM, or agentic systems in production, with direct experience in healthcare, finance, or another regulated industry
Demonstrated ability to diagnose why an agent failed, correctly attribute the fix to instruction, retrieval, context, or memory design, and weigh failures by severity and cost rather than frequency alone
Hands-on experience with RAG architecture, production-grounded evaluation frameworks, and fallback or human-in-the-loop logic for automated systems
Working familiarity with AWS AI/ML services, including Bedrock and SageMaker, sufficient to build and evaluate effectively in Arcadia’s environment
Evidence-led judgment and the credibility to push back on launch decisions, paired with a builder’s instinct to run the experiment and move from a production failure to a fix
Would Love for You to Have
Experience applying AI to healthcare data or workflows where safety, transparency, and calibrated uncertainty directly affect care teams or patients
Experience with long-horizon, multi-turn or multi-agent workflows and product-level AI documentation such as model cards
What You'll Get
The opportunity to define how agent performance, safety, and readiness are measured for
production
healthcare workflows
Meaningful ownership across prompts, context, memory, evaluations, and escalation patterns at product scale
A cross-functional role translating production evidence into AI improvements used across Arcadia’s platform
A mission-driven company working to improve how patients receive care
A flexible, remote-friendly culture with personality and heart
Employee-driven programs and initiatives for personal and professional development
Membership in the talented, energized, diverse, and purpose-driven Arcadian community
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: Ciudad de México, Mexico
Workplace: hybrid
Location: Mexico City (Hybrid for Mexico location and remotely for others locations) |
Department: Strategy D&A Office
Company: NOVACARD
Be part of NOVACARD’s transformation into a truly data-driven fintech.
We’re looking for a Strategy & Data Governance Analyst — a key contributor bridging business strategy, financial analytics, and enterprise data management.
Your mission is to build a data-empowered decision culture: translate data into strategic insights, ensure data quality and governance, and support data-driven business planning.
📝 What You’ll Do – Responsibilities:
📈 Drive Strategic Analytics
· Analyze company performance across key fintech metrics: acquisition, activation, retention, monetization, and churn.
· Build and maintain unit-economics models to evaluate channel profitability, LTV/CAC dynamics, and payback periods.
· Identify growth drivers, operational inefficiencies, and levers for strategic improvement.
· Provide analytical support for strategic planning, quarterly targets, and investment prioritization.
🧠 Lead Data-Driven Transformation
· Design and implement a framework for data-driven decision-making across departments.
· Establish standardized KPI definitions, reporting hierarchies, and accountability chains.
· Support leadership in translating business goals into measurable data objectives.
🧩 Build Data Governance Framework
· Coordinate creation and maintenance of core governance artifacts:
· Metadata descriptions
· Enterprise Data Catalog
· Data Lineage (technical and business flow mapping)
· Business Glossary (data stewards and owners register)
· Data Quality Rules & Profiling metrics
· Data Observability & Monitoring dashboards
· Collaborate with IT, Data Engineering, and Product teams to ensure reliable and transparent data flows.
🔍 Maintain Data Quality & Trust
· Define and monitor data quality KPIs: completeness, consistency, timeliness, and accuracy.
· Investigate data anomalies and drive root-cause analysis with responsible teams.
· Build automated data quality and observability processes within DWH and reporting layers.
🧪 Run Strategic Experiments
· Design and analyze A/B and multivariate tests supporting product and business hypotheses.
· Measure incremental impact of product, pricing, and communication changes on key business metrics.
· Apply statistical rigor to evaluate significance and scalability of experimental results.
📊 Deliver Executive Insights
· Develop dashboards and reports that translate complex data into actionable recommendations for management.
· Support financial planning, forecasting, and scenario analysis with data-driven models.
· Ensure consistent alignment between operational KPIs and strategic company goals.
🤝 Cross-Functional Collaboration
· Act as an interface between Strategy, Product, Data, and Finance teams.
· Promote data stewardship culture and educate teams on proper data usage and governance principles.
· Facilitate adoption of data-governance tools and processes across the organization.
📝 Regular Tasks:
· Maintain financial and operational KPI dashboards in Power BI (or similar).
· Conduct deep-dive analyses on acquisition, retention, and monetization metrics.
· Support management in quarterly OKR reviews with analytical insights and forecasts.
· Curate metadata, lineage, and glossary entries for critical datasets.
· Track implementation of governance policies and compliance with data ownership model.
· Evaluate effectiveness of data quality monitoring tools and workflows.
· Prepare and present analytical materials for leadership and board-level reviews.
💻 Skills & Tools:
✅ SQL – advanced level for analytics and governance queries.
✅ Python – for modeling, statistical analysis, and data validation.
✅ Power BI (or similar- Tableau, Looker etc) – for data storytelling and executive reporting.
✅ Data Governance Platforms – experience with Ataccama, Collibra, Alation, OpenMetadata or etc.
✅ DWH & Integration – understanding of pipelines, data lineage, and data catalog integration (Postgres, etc.).
✅ Statistics & Experimentation – hypothesis testing, regression, causal inference, cohort analysis.
✅ Financial & Strategic Analysis – familiarity with unit economics, LTV, CAC, margin modeling.
🌟 Soft Skills:
🗣️ Strategic Communication – ability to distill analytical insights into concise strategic narratives for executives.
🧩 Systems Thinking – connects operational processes, data flows, and financial outcomes.
📋 Project Management – coordinates cross-team governance initiatives.
🔎 Critical Thinking – detects weak points in data logic and decision frameworks.
🤝 Stakeholder Leadership – builds alignment among Product, Risk, Marketing, Operations, Legal, Finance, DWH and IT.
🚀 Change Catalyst – inspires teams to adopt data-driven practices and maintain analytical discipline.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Claude is now good at security work. It finds and fixes vulnerabilities in real codebases, triages alerts, and reasons about how an attacker would move through a system, and it improves with every model we ship. Many security platforms build on Claude and we shipped our first security product this year (Claude Security).
You'll lead the cybersecurity product at Anthropic. That means setting the strategy, deciding what we build and where we partner, shipping products, and being the company's voice with CISOs, security vendors, and researchers. Some of this is 0→1 (our first-party products are a few months old and the next ones don't exist yet) and some of it is scaling what already works. Security touches nearly every team at the company.
Key responsibilities
Set Anthropic's cybersecurity product portfolio strategy and be accountable for the results.
Ship security products. Vulnerability discovery and remediation in Claude Code today and a broader set of capabilities in the future.
Represent Anthropic on security externally, with CISOs, vendors, researchers, governments, and press.
Partner with research. Know where the model falls short on security tasks and help build a plan to improve.
Work with safeguards and policy on model access for Cybersecurity.
Keep the cross-functional threads moving across research, engineering, sales, safeguards, policy, legal, and comms.
Minimum qualifications
You've spent meaningful time in security, whether building security products, running a security team, or doing the work yourself in application security, detection and response, vulnerability research, or offensive security.
You've built products or businesses from scratch and taken them to paying customers.
You design for where the models will be rather than where they are. You treat what the model can't do yet as a research target with a reliability bar, and you know what to ship in the meantime.
You have strong product judgment and enough technical depth to read a finding and tell whether it's real.
You're willing to do the unglamorous work.
You communicate well with CISOs, researchers, and executives alike.
Preferred qualifications
12+ years of experience building and shipping products, especially in the security space .
Fluency with AI products: evaluations, model behavior as part of the product surface
Technical background or experience working closely with infrastructure/platform teams
Strong technical judgment with ability to go deep on security and infrastructure topics
Structured thinking and ability to break down complex compliance requirements into shippable features
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$385,000
—
$460,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Espoo
Workplace: Hybrid
Role highlights:
- Senior Fullstack Engineer
- Location: Espoo
- Department: Engineering, Fleet Control and Communications
- Reports to: Engineering Manager, Fleet UI
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Senior Fullstack Engineer in Fleet UI team you will be building a mission-critical system used by satellite operators. The problems are technically rich: managing satellite configurations, visualizing orbits in 3D, managing passes across a global network of ground stations, automating mission operations and more. You will work in a domain where the UI decisions directly impact satellite mission outcomes.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
Your day-to-day responsibilities
- Build, and maintain features across a React + TypeScript project serving real-time satellite operations
- Collaborate closely with a UI/UX designer in developing sophisticated UI components and data visualizations tools including timeline views, 3D globe rendering (Cesium), and pass planning interfaces
- Contribute occasionally to backend APIs (Node, Python) to unblock delivery when needed
- Drive frontend architecture decisions — state management strategy, component design, performance optimization
- Support the team with DevOps work across multiple environments — including managing Docker-based deployments, configuring environment-specific runtime settings, and contributing to release workflows
- Write and maintain unit tests (Jest + Testing Library) and end-to-end tests (Playwright)
- Participate in code reviews, uphold coding standards, and mentor engineers on best practices
- Contribute to CI/CD pipelines and oversee migration from Webpack 5 to Vite
What we’re looking for
Must haves:
- 5+ years of professional experience building fullstack production-grade applications using React, TypeScript (ES6+) and Node
- Experience writing clean, maintainable code in Python
- Strong understanding of component-based architecture, modern React patterns, and state management approaches
- Experience designing, developing, and consuming RESTful and GraphQL APIs
- Solid testing discipline, including unit and end-to-end testing with tools such as Jest and Playwright
- Experience with modern frontend tooling and build systems such as Vite, webpack, and npm
- Proficiency with Git and collaborative development workflows
Active use of AI-assisted development tools
- Strong problem-solving skills and ability to debug complex, cross-layer issues
- Understanding of web application security best practices
- Relevant higher education degree in Computer Science, Software Engineering, or a related technical field
Nice to haves
- Solid understanding of API design, including REST principles and GraphQL schema design
- Knowledge of database design and ORM frameworks
- Experience with modern DevOps practices including CI/CD pipelines, containerization, and cloud platforms such as AWS
- Familiarity with infrastructure and deployment tooling such as Kubernetes, Terraform, Helm, or ArgoCD
Application Process
- Talent Partner Screen Call
- Hiring Manager Interview
- Technical Interview
- Values & Fit Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority—with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Base salary range for this position is 6 500 - 9 000 € per month (gross), depending on experience, and will be negotiated individually.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Paris, France
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
À propos du poste
En tant qu'ingénieur·e en IA appliquée au sein de notre équipe Entreprise, votre rôle est de guider certaines des plus grandes entreprises de France vers la frontière de l'IA et de les aider à déployer Claude dans leurs opérations, leurs produits et leurs méthodes de travail. Vous deviendrez le·la spécialiste incontournable de la plateforme Claude et le·la conseiller·ère technique de confiance de vos clients, en conseillant leurs équipes d'ingénierie sur l'architecture, la conception d'agents et l'évaluation, et en travaillant avec les dirigeants et les cadres supérieurs qui sponsorisent ces programmes pour démontrer la valeur ajoutée de Claude et les aider à prendre une décision éclairée quant à l'adoption de Claude.
Les transactions avec les entreprises sont différentes. Les cycles d'approvisionnement sont plus longs, davantage de parties prenantes sont impliquées, et la réussite dépend de la capacité à relier le travail technique aux résultats qui importent pour le conseil d'administration. Vous serez tout aussi à l'aise pour conseiller une équipe d'ingénierie sur l'évaluation et l'architecture que pour présenter un dossier de valeur à un CIO ou un CTO, et vous porterez le fil technique à travers chaque étape d'un engagement s'étalant sur plusieurs trimestres.
Une grande partie de ce travail se déroule en français, avec des cadres dirigeants et des équipes d'ingénierie françaises, c'est pourquoi un français natif ou courant est essentiel pour ce poste. Vous travaillerez en étroite collaboration avec les responsables de comptes Entreprise et les architectes IA appliquée pour accompagner chaque client depuis la première conversation, à travers l'évaluation technique, la création de valeur et les achats, jusqu'à la décision de développer sur Claude. Une fois leur décision prise, vous préparerez leur partenaire d'intégration système à assurer la mise en œuvre, en définissant ensemble l'architecture cible et les critères de réussite, et vous resterez proche du client en tant que conseiller·ère technique sur Claude pendant tout le déploiement, tandis que le partenaire se chargera de la construction. En travaillant aux côtés des équipes Produit et Ingénierie d'Anthropic, vous mettrez à profit votre connaissance de la plateforme Claude pour conseiller sur l'évaluation, recommander des architectures répondant aux exigences de sécurité et d'échelle des entreprises, et créer les ressources techniques et commerciales qui aident les grandes organisations à réussir avec Claude.
Responsabilités
Travailler en partenariat avec les responsables de comptes et les architectes en IA appliquée pour accompagner les clients entreprises en France depuis le premier échange jusqu'à la décision d'adopter Claude, en passant par l'évaluation technique, la validation de la valeur et le processus d'achat
Piloter le volet technique de chaque opportunité jusqu'à cette décision, et rester le·la conseiller·ère technique du client sur Claude pendant son déploiement
Préparer les clients et leurs partenaires d'intégration de systèmes à assurer la livraison : convenir de l'architecture cible, définir les critères de réussite, et rester disponible pour conseiller l'équipe de livraison au fur et à mesure de l'avancement de la construction
Guider les clients grandes entreprises vers l'avant-garde de l'IA, en les conseillant sur la manière de déployer Claude dans leurs opérations, leurs produits et leurs méthodes de travail
Aider les équipes d'ingénierie des clients à voir comment elles pourraient développer sur Claude, en couvrant l'architecture, la conception d'agents et l'évaluation, afin qu'elles puissent prendre une décision en toute confiance
Élaborer et présenter le dossier de valeur commerciale de Claude auprès des dirigeants et des cadres supérieurs, en français et en anglais, en associant les capacités techniques à des résultats mesurables tels que les coûts, les revenus, les risques et le délai de mise sur le marché
Guider les clients à travers de longs cycles d'approvisionnement et d'adoption impliquant de multiples parties prenantes, notamment les évaluations techniques, les preuves de concept, les revues de sécurité et d'architecture, jusqu'à la définition d'une feuille de route claire vers la mise en production
Travailler avec les responsables de comptes sur la stratégie de compte, la qualification des opportunités commerciales et les plans d'engagement des dirigeants, et avec les architectes en IA appliquée pour assurer la continuité et le partage du contexte à travers chaque engagement
Organiser des briefings exécutifs, des ateliers techniques et des sessions de formation destinés à la fois aux dirigeants et aux équipes d'ingénierie
Naviguer au sein des exigences de l'entreprise en matière de sécurité, de conformité, de résidence des données et de gouvernance, en collaborant avec les équipes internes d'Anthropic si nécessaire
Identifier les modèles à travers les engagements auprès des entreprises et transmettre les informations aux équipes Produit, Ingénierie et à l'équipe IA appliquée élargie
Se rendre sur les sites des clients en France pour des réunions de direction, des ateliers et l'établissement de relations
Vous conviendrez particulièrement si vous avez
Le français comme langue maternelle ou courant, écrit et parlé, car vous travaillerez au quotidien avec des clients entreprises français, aussi bien au niveau des dirigeants qu'au niveau ingénierie
Plus de 6 ans d'expérience en tant qu'ingénieur·e logiciel, architecte de solutions, ingénieur·e en déploiement avancé ou fondateur·rice technique
Une expérience dans un poste d'avant-vente ou de conseil technique auprès de grandes entreprises, idéalement sur le marché français, y compris la définition du périmètre et la conception de solutions complexes
Une expérience dans la vente basée sur la valeur, ce qui signifie que vous êtes en mesure d'élaborer un dossier commercial, de quantifier l'impact et de le présenter à des décideurs de haut niveau
L'aisance à présenter et à établir des relations avec des parties prenantes de niveau C et VP
Une expérience dans la prise en charge de la réussite technique des transactions avec les entreprises : évaluations, preuves de concept et audits techniques préalables avec les équipes d'ingénierie, de sécurité, juridique et des achats
Une expérience en production avec des applications propulsées par des LLM, incluant le prompting, l'ingénierie du contexte, les architectures d'agents, les cadres d'évaluation et le déploiement à grande échelle
Une expérience pratique en ingénierie, incluant la conception et le déploiement d'applications en production, afin de pouvoir échanger avec les responsables techniques et leurs équipes
Une familiarité avec les exigences en matière de sécurité, de conformité et d'architecture d'entreprise, et une expérience dans la résolution de ces problématiques avec les équipes clientes
La capacité à expliquer clairement des concepts complexes d'IA à des publics techniques et dirigeants, et à naviguer entre des secteurs tels que les services financiers, les soins de santé, le commerce de détail et l'industrie manufacturière
Un intérêt marqué pour la mise en place de technologies puissantes sûres et bénéfiques
About the role
As an Applied AI Engineer on our Enterprise team, your role is to guide some of France's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude.
Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement. Much of this work happens in French, with French executives and engineering teams, so native or fluent French is essential for the role.
You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude.
Responsibilities
Partner with Enterprise Account Executives and Applied AI Architects to take enterprise customers in France from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude
Lead the technical side of each opportunity through to that decision, and remain the customer's technical advisor on Claude as they deploy
Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and stay on hand to advise the delivery team as the build progresses
Guide enterprise customers to the frontier of AI, advising them on how to deploy Claude into their operations, their products, and their ways of working
Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation, so they can make a confident decision
Build and present the business value case for Claude with C-level and senior executives, in French and English, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market
Guide customers through long, multi-stakeholder procurement and adoption cycles, including technical evaluations, proofs of concept, security and architecture reviews, and a clear path to production
Work with Account Executives on account strategy, deal qualification, and executive engagement plans, and with Applied AI Architects to keep context and continuity across every engagement
Run executive briefings, technical workshops, and enablement sessions for both leadership and engineering audiences
Navigate enterprise requirements around security, compliance, data residency, and governance, working with Anthropic's internal teams where needed
Identify patterns across enterprise engagements and feed insights back to Product, Engineering, and the wider Applied AI team
Travel to customer sites across France for executive meetings, workshops, and relationship building
You may be a good fit if you have
Native or fluent French, written and spoken, as you will work day to day with French enterprise customers at both executive and engineering level
6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder
Experience in a pre-sales or technical advisory role selling into large enterprises, ideally in the French market, including scoping and designing complex solutions
Experience with value-based selling, meaning you can build a business case, quantify impact, and present it to senior decision makers
Comfort presenting to, and building relationships with, C-level and VP-level stakeholders
Experience owning the technical win in enterprise deals: evaluations, proofs of concept and technical due diligence with engineering, security, legal and procurement teams
Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
A hands-on engineering background, including building and deploying production applications, so you can relate to engineering leaders and their teams
Familiarity with enterprise security, compliance, and architecture requirements, and experience working through them with customer teams
The ability to explain complex AI concepts clearly to both technical and executive audiences, and to move between industries such as financial services, healthcare, retail, and manufacturing
A passion for making powerful technology safe and beneficial
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
€220.000
—
€235.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Staff/Lead Product Designer, Design System
- Location: Espoo, Uusimaa, Finland
- Department: Product Management
- Reports to: Director of Product Design
- Employment type: Permanent
- Workplace model: Hybrid (3 days / week in office)
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
We don't have a design system. What we have is a set of products built fast, for users who needed the imagery yesterday, that share a brand without sharing much else. Buttons that quietly disagree with each other. Spacing as a matter of personal taste. Several defensible ways to build a table, none of them the same. Nobody was sloppy - this is what shipping under real pressure leaves behind, and the interest on it now comes out of every sprint.
As a Staff / Lead Product Designer, you'll build the thing from nothing. That starts small and slightly unglamorous: a Figma library people actually reach for and a design playbook that settles the arguments worth settling. Then tokens with a structure that holds. Then components in code, documented well enough that nobody has to ask you how they work. By the time it's a design system in the full sense, the hardest part - people using it by default - is already solved, because you'll have built it in the open with the teams who had to adopt it.
This is a hands-on, opinionated, sleeves-rolled-up role. You'll be the highest craft bar in the domain and the person who raises everyone else's. You'll spend as much time with frontend engineers as with designers, quite possibly in their repo.
Real ownership. Very little existing process to inherit. If that sounds like a warning, it isn't. It's the job.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific..
YOUR DAY-TO-DAY RESPONSIBILITIES
- Start with a library and a playbook. Grow it into a system. Early on that means a Figma library, shared foundations and written guidance that gives teams a default instead of a decision. Later it means token architecture, components in code and documentation that scales past you. You'll decide the sequence, what's a token and what's a local decision, and where the line sits between flexibility and consistency. Those calls are yours to make, not to wait for.
- Co-design with frontend, in the code. Our engineers will build most of the components. You'll be in the conversation about props, state and composition, reading PRs and prototyping in a branch when that's the fastest way to prove a point. Figma is where you think, not where the system ends up living.
- Sell it. Repeatedly. A design system nobody adopts is a very tidy failure. You'll make the case to product managers, engineers and leadership, run office hours, and do migration work yourself when that's what unblocks a team.
- Set and hold the craft bar. Across the whole domain, at the pixel level, in public. Kind about people, uncompromising about the work.
- Put AI to actual work. Component documentation, variant generation, token maintenance, migration codemods, spec drafting. The tedious 60% of systems work is exactly what these tools are good at, and we want someone with strong instincts about which 60%.
- Stay accountable for what ships. Adoption, consistency, shipped UI quality, how quickly teams can build - not the size of your Figma library.
- Work across a big, networked organisation. Designers in other domains, brand and marketing design, sales engineers, customers. Consistency is a negotiation, not a mandate you email out.
WHAT WE'RE LOOKING FOR
Must haves:
- You've done 0-to-1 before, somewhere messy. You've taken a design system from nothing to adopted, in an organisation that had neither and wasn't yet convinced it needed one. You know how the first six months actually go, which corners are safe to cut, and how to structure tokens so they survive the next product rather than getting quietly forked.
- You're fluent enough in code to be useful. Reading React and CSS, understanding component APIs, running the repo locally, opening a PR without ceremony. You don't need to be an engineer, but you do need to hold your end of a technical conversation and design things that are buildable as drawn.
- You can influence without authority. You'll spend real energy convincing people who have their own roadmaps and their own deadlines. Being right won't be enough and you know that already.
- Your craft is exceptional. Deep command of layout systems, typography, colour and visual hierarchy, applied in dense, complex professional interfaces. Detail-obsessed in the good way: the way that makes a whole product feel considered.
- You have a real point of view on AI in design work. Not a vibe, a practice. You've used these tools to accelerate documentation, generate and audit variants, maintain tokens, or migrate code, and you can tell us where they helped and where they made a confident mess.
- You've owned UX end-to-end for complex professional products. Discovery through shipped product through what you learned afterwards, with a portfolio that shows the systems thinking as well as the surfaces. Expert in Figma.
NICE TO HAVES:
- Accessibility as a default rather than an audit.
- Experience with theming, dark mode, or multi-brand systems.
- Data-dense, map-heavy or real-time interfaces.
- Public writing or open-source contribution on design systems.
- Time spent in high-stakes or regulated environments where getting it wrong is expensive.
The disposition, which matters more than any of the above: outcome-driven thinking over perfect artifacts (design is what ships); curiosity about users, about design and technology trends and history, and about better ways of working; pragmatic product judgment, knowing when "good and shipped" beats "perfect but late"; clear communication and respectful collaboration.
APPLICATION PROCESS
1. Recruiter screen
2. Hiring Manager interview
3. Portfolio review
4. Task
5. Final interview
WORKING AT ICEYE
At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the "why" behind decisions.
- See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters - and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Base salary range for this position is dependant on experience, and will be negotiated individually.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us - we'll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Athens
Workplace: OnSite
ROLE HIGHLIGHTS
- Title: Planner Satellite Manufacturing - MAITE
- Location: Athens, Greece
- Department: Global Manufacturing Organisation
- Reports to: Director of MAITE
- Employment type: Permanent
- Workplace model: Office
- Employment is subject to applicable security screening (incl. SUPO, where required)
- Please note we can only accept applications in English
WHY THIS ROLE MATTERS:
The mission of this role is to be the single planning point for the whole MAITE (Manufacturing, Assembly, Integration, Test and Execution) organisation in Greece: AIT Engineering, Production, Stock & Logistics, Procurement, Quality, and the Cleanroom & Lab. You will build and own one integrated schedule, from the master schedule down to daily work orders, that turns satellite demand into executable work across all of them.
You will work with the global planning team, which sets the master plan and component MRP, and turn it into a detailed, executable plan for the site. Unlike traditional satellite builds, LEO constellations demand industrial-scale throughput, modular design adaptability, and tight integration between production, engineering and supply chain.
Much of the value sits in the interfaces: sequencing a calibration campaign or a cleanroom intervention so it does not stop a build, holding a slot for a quality inspection, or flagging a long-lead component early enough for procurement to act.
The ideal candidate thrives in ambiguity, works comfortably across departments, and improves the planning tools and workflows they inherit where off-the-shelf solutions fall short. You are the reliable source of truth for the site plan: when the plan and the floor disagree, you know first and say so.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.
ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US. The company has more than 1000 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Build, maintain and optimise a single integrated schedule covering AIT Engineering, Production, Stock & Logistics, Procurement, Quality and the Cleanroom & Lab, from the master schedule down to daily work orders, against technical constraints, material availability, labour and facility capacity.
- Translate the master plan and component MRP from the global planning team into a sequenced plan for each department, agreeing dates and capacity with the department owners rather than directing their work. Hold slots for cleanroom interventions, calibration campaigns, quality inspections and rework loops so that planned work lands where it costs least, and keep those slots when priorities move.
- Run the daily and weekly planning cadence. Coordinate daily schedules with the site team leads, report actual people availability into the capacity plan, publish status, and raise deviations early and factually rather than sitting on them, then drive them to a decision.
- Feed the planning cycle. Keep plan versus actuals, milestone status and people availability current and flowing to the global planning team on cadence, so the plan above the site reflects floor reality.
- Produce and maintain the artefacts the organisation runs on: master schedule, critical path analysis, capacity plans, sprints and the visual management boards used in daily meetings.
- Integrate new product introduction and engineering changes into the plan, including prototype and qualification builds, without disrupting series production. Keep the plan and work order BOMs aligned with the current approved configuration, coordinating with Configuration Management, who own the governed baseline.
- Schedule planned downtime deliberately, including preventive maintenance, instrument calibration campaigns and cleanroom interventions, so that they land where they cost least.
- Embed quality hold points, inspection windows and rework loops into the schedule rather than absorbing them as overruns, and flag long-lead and shortage risk to Procurement early enough to act.
- Keep planning data in NetSuite, Manufacturo (MES), Jira and Smartsheet in sync with the floor: work orders released and closed on time, no phantom work in progress, no conflicting references, and material, WIP and stock status accurate enough to plan from.
- Publish and track the organisation-level planning indicators: on-time delivery, schedule adherence and cycle time. Consolidate and report the department-level measures that explain them, including material availability at kit release, inspection turnaround, equipment availability and calibration compliance. These measures remain owned by the department that produces them. Where one moves against the plan, raise it in the planning cadence with its owner and drive it to a decision.
WHAT WE’RE LOOKING FOR
MUST HAVES:
- 5+ years of experience in production, industrial or operations planning in a technological environment (aerospace, defense, maritime, automotive, semiconductor, medical devices, etc.).
- Proven scheduling capability across multiple departments or product lines, building and owning a master schedule fully.
- Capacity planning across labour, equipment and facilities, with the judgement to state clearly what cannot be done as well as what can.
- Deep understanding of manufacturing processes, supply chain logistics and systems engineering, sufficient to challenge a lead time or a routing.
- Comfortable reading technical documentation: bills of materials, routings, work instructions and engineering change notices.
- Inventory management experience: tracking materials, work in progress and stock accuracy against plan.
- Ability to hold competing departmental priorities in balance and reach a decision without formal authority over the teams involved: influence and reliability over authority, and the instinct to raise a problem early rather than sit on it.
- Analytical thinking with a data-driven approach to forecasting, problem-solving and decision-making, using Excel, Power BI or similar.
- Adaptability to respond quickly to production changes, delays, or evolving technical requirements.
- Hands-on experience with ERP/MRP/MES systems and scheduling tools, including responsibility for planning master data accuracy. We use NetSuite, Manufacturo (MES), Jira and Smartsheet, which are being implemented while in use; experience with equivalent systems is fine.
- Experience producing visual management for daily operational meetings, and with project tooling such as Jira, Smartsheet or MS Project.
- Strong communication skills in English (written & spoken).
NICE TO HAVES:
- A satellite, aerospace, or another regulated, low-volume / high-complexity manufacturing setting.
- Foundational software development skills, such as Python or scripting, useful for automating planning tasks, integrating data sources, or building internal planning tools.
- Exposure to Lean or continuous improvement, S&OP cycles, or APICS/ASCM certification.
APPLICATION PROCESS
- Talent Acquisition Interview
- Hiring Manager General Interview
- Technical Interview (onsite or virtual), including a Technical Challenge
- Leadership & Hiring Team Interview
WORKING AT ICEYE
At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
- Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the "why" behind decisions.
- See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
- Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
- A job that matters in a dynamic Earth Observation environment with a scale-up approach
- An independent role with a supportive and diverse work environment
- Phone subscription with iPhone of choice
- Relocation support (flight tickets, accommodation, relocation agency support)
- Time for self-development, research, training, conferences, or certification schemes
- Inspiring and collaborative offices and silent workspaces that enable you to focus
- A wide variety of the best coffee, tea, snacks, and sweets to accompany your daily space mission
- Competitive salary contingent on your experience level, negotiated individually
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Senior AIT Engineer, Electronics
- Location: Espoo, Finland
- Department: Global Manufacturing Organisation
- Reports to: AIT Engineering Team Manager
- Employment type: Permanent
- Workplace model: Hybrid / Office
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
The Senior AIT Engineer, Electronics is the integration readiness authority for all electronics and power-related subsystems in ICEYE's satellite. You own the discipline from early design review through Production Readiness Review (PRR), production support, and system verification — ensuring that the entire electronics chain is manufacturable, testable, and takt-compatible at scale.
This is not a production execution role. You are the engineer who ensures production can execute: you own the integration logic, the procedures, the technical escalation path, and the feedback loop back to Engineering. You work in a "2-in-a-box" model with subsystem designers, they own the design, you own how it integrates.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Own integration readiness for electronics and power subsystems: power management, power conditioning and distribution, battery systems, solar panels, watchdog and contactor systems, electrical interfaces, and power firmware and boot logic across all satellite variants
- Act as the satellite-wide electronics expert, the person engineering and production both turn to when electrical behaviour during integration is unclear, unexpected, or blocking
- Work in a "2-in-a-box" partnership with Engineering subsystem owners: co-own the PRR package for your discipline, assess manufacturability and testability of design changes early, and ensure no electrical design reaches production without your integration sign-off
- Develop, maintain, and continuously improve procedures, flows, and troubleshooting guides for your subsystems by ensuring documentation is technically correct, version-controlled, and production-executable without interpretation
- Own Tier-2 technical support for electronics-related non-conformances and integration anomalies: triage, root cause, corrective action, and closure protecting production time and preventing recurrence
- Participate in Engineering projects, ensuring that lessons learned translate directly into production-ready documentation and PRR
- Train and mentor production technicians on electronics integration steps, building floor-level competence that reduces dependence on engineering escalation
- Drive subsystem manufacturing readiness level (MRL) maturity, maintaining an improvement roadmap
WHAT WE’RE LOOKING FOR
MUST HAVES:
- Degree in Electrical Engineering, Electronics Engineering, or a closely related discipline
- 6+ years of hands-on experience in electronics integration, assembly, or test engineering in a hardware-intensive environment
- Strong understanding of power electronics: power distribution architectures, battery management systems, solar power conditioning, and electrical boot sequences at system level
- Demonstrated experience owning a subsystem or discipline end-to-end from design review through integration and verification, not just executing procedures someone else wrote
- Proficiency with electronics lab equipment: power supplies, multimeters, oscilloscopes, data acquisition systems, and protocol analysers
- Ability to read and interpret electrical schematics, ICDs, and system-level documentation, and to translate them into practical integration and test procedures
- Experience identifying and resolving electronics integration anomalies under time pressure, with clear root cause documentation
- Excellent communication skills in English written and verbal, across both engineering and production audiences
NICE TO HAVES:
- Experience in spacecraft, aerospace, defence, or other high-reliability electronics environments
- Familiarity with satellite power subsystems or embedded power management firmware behaviour
- Experience writing and owning integration procedures for a production environment at scale
- Experience with ESD-controlled and cleanroom work environments
- Proficiency with Jira or equivalent engineering tracking and NC management systems
- Exposure to production readiness reviews (PRR), design reviews (PDR/CDR), or equivalent formal engineering gate processes
- Knowledge of IPC standards or equivalent electronics assembly and inspection standards
- Python or scripting experience for test automation or diagnostic tooling
APPLICATION PROCESS
- TA Screening
- Hiring Manager Interview
- Task
- Final Interview Stages
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Base salary range for this position is dependent on experience, and will be negotiated individually.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
География найма не уточнена
УдалённоUnited States (Remote); We encourage candidates from all backgrounds to apply; Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоEuropean Union; Ukraine; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET
УдалённоRemote (USA)
ГибридCiudad de México, Mexico
География найма не уточнена
ГибридseniorГеография найма не уточнена
Paris, France
ГибридleadГеография найма не уточнена
ОфисAthens; Relocation support (flight tickets, accommodation, relocation agency support)