Location: Canada; San Francisco; Europe; London; United States; United Kingdom; Toronto; Montreal
Workplace: Remote
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?
To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup.
Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months.
As a Cohere Research Intern, you will:
- Conduct cutting-edge machine learning research, building and training large language models.
- Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc.
- Disseminate your research results through the production of publications, datasets, and code.
- Contribute to research initiatives that have practical applications in Cohere’s product development.
You may be a good fit if you:
- Are currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline. We will also consider exceptional non-PhD candidates.
- Are eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period.
- Have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models.
- Are familiar with autoregressive sequence models, such as Transformers.
- Have strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly.
- Have knowledge, or are knowledgeable, of programming languages such as Python, C, C++, Lua, or related languages.
- Have knowledge of related ML frameworks such as JAX, Pytorch and Tensorflow.
- Have previous experience in building systems based on machine learning and deep learning techniques.
- Demonstrate passion for applied NLP models and products.
Preferred Qualifications:
- Demonstrated expertise through publications in top tier venues in fields such as machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
- Proven ability to tackle analytical problems using quantitative methodologies.
- Proficiency in handling and analysing complex, high-dimensional data from various sources.
- Experience in applying theoretical and empirical research to real-world problem-solving.
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.
УдалённоСтажёрCanada; San Francisco; Europe; London; United States; United Kingdom; Toronto; Montreal
Location: Canada; Dubai; London; United States; United Kingdom
Workplace: Remote
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?
This role is for students who are excited about building the next generation of machine learning models and NLP products. Our SWE roles can cover creating datasets for machine learning, scaling the pods to serve our API, or even building out new security features on our platform. We don't distinguish much between interns and full-time employees, and you’ll have plenty of opportunities to push code to production. You'll have full autonomy and ownership over high-impact work, and will be backed by the support of an incredible team or leaders & mentors.
Join us at a pivotal moment, shape what we build, and wear multiple hats!
We're currently hiring for multiple teams and roles, including Frontend, Backend, Full-stack, and Infrastructure roles. We'll take your interests & experience into account throughout the application process.
Our recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and to advance your application to the next stage.
Please Note: To be eligible for this position, you should be currently enrolled in a post-secondary program and available for a full-time 3-6 month internship, co-op, or research work term.
As a Software Engineering Intern, you will:
- Ship delightful experiences for our user-facing products, meticulously crafting code for browsers or server code.
- Build features for the API platform that directly impact users.
- Design and implement robust data pipelines (crawlers, storage, filters).
- Design and implement scalable services or infrastructure for machine learning development.
- Build internal tooling (CI/CD, dev utilities) to move faster together.
- Build tech writing skills through maintaining and contributing to technical documentation, both internal and external facing.
- Keep up with the cutting edge and adopt new technologies to improve performance and reliability across Cohere.
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: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
ABOUT THE ROLE
We are hiring the next generation of product managers. AI has collapsed the work that used to sit between an idea and a working version of it, and for the first time, PMs can be true builders. The PMs who win in this era do not manage the work. They build the product, every day, with their own hands.
A Staff Product Manager operates and drives vision across product areas. You own a problem space that spans multiple surfaces, or one so foundational that getting it right shapes how everything else at ClickUp works. You still build. The strategy is sharper because you are prototyping the cross-cutting workflow yourself, reading data wherever it shows up, and sitting on customer calls that span the whole problem. You scale impact by inventing leverage that other PMs adopt, wiring up AI workflows that keep you current on more signals than any one person could manually track. The scope is wide on purpose, and you find new ways to cover it.
KEY RESPONSIBILITIES
- Define and own a cross-functional problem space or a foundational platform area whose quality shapes outcomes across multiple product surfaces.
- Drive strategic alignment across product areas. Identify the decisions that unblock the most work and make them.
- Synthesize signals from customer calls, data, support trends, and partner feedback across your entire scope, not just your immediate surface.
- Prototype cross-cutting workflows and concepts yourself. The strategy is more credible when you have already tested it.
- Identify leverage and share it. Build AI workflows, frameworks, and patterns that other PMs on the team can adopt.
- Mentor and stretch Senior PMs. Raise the floor of the function, not just your own output.
- Represent the product voice in senior leadership conversations and contribute to decisions that span multiple teams.
- Contribute to how the PM function operates, including how we run discovery, define quality, and measure success.
QUALIFICATIONS
- 6-8+ years in product management, with a clear record of operating across multiple product areas or owning a foundational platform.
- Demonstrated ability to drive cross-functional alignment without authority, across engineering, design, data, and GTM.
- Systems thinker. You see second-order effects and account for them before they become problems.
- Able to hold strategy and execution at the same time. You do not hand off the detail when the scope gets bigger.
- Track record of mentoring and elevating other PMs, not just shipping your own work.
- Strong data instincts. You can pull your own analysis, define the right metrics, and spot when a number is telling the wrong story.
- Experienced with AI tooling and actively finding new ways to scale your own coverage through it.
- Proven communicator at the executive level. You can frame a complex problem crisply and land a recommendation with senior stakeholders.
AI PROFICIENCY
- Generate artifacts that accelerate alignment. Leverage AI to draft PRDs, map user flows, validate product launch readiness, synthesize research and customer feedback, produce competitive analyses, and write release notes.
- Prototype and iterate with AI coding tools. Build functional prototypes independently of design and engineering using tools like Cursor or Claude Code.
- QA your own work. Use browser automation tools to test flows, verify edge cases, and confirm what shipped matches what was specced.
- Stay current and apply it. Familiarity with tools like Claude Code, Cursor, Figma AI, and MCP integrations is expected. Actively experiment and fold new capabilities into your workflow.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: San Francisco, CA | New York City, NY | Seattle, WA
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
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world.
Key responsibilities
Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning
Partner across teams to ensure new compute capacity is ingested on time
Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity
Collaborate with security owners to ensure clusters are provisioned secure-by-default
Define and drive strategy on cluster scalability, homogeneity and fault tolerance
Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy
Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health
Support the growth of engineers around you through technical mentorship and coaching
Minimum qualifications
Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems
Ability to build alignment across senior stakeholders and communicate effectively at all levels
Preferred qualifications
10+ years of software engineering experience, including time as a technical lead setting direction for a team
Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like)
Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance
Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows)
Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems
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
—
$485,000 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: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ROBOTICS PRODUCTION TEAM LEAD (MECHATRONICS)
Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.
OUR MISSION
At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
VISION
In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization
SOLUTION
As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.
About the Role
As Robotics Production Team Lead, you’ll be responsible for leading a team of technicians in complex, high-velocity humanoid robotic builds. You’ll be accountable for the quality, pace, and consistency of your own output as well as that of your team, whilst clearly and concisely communicating risks and blockers to the senior leadership team. You’ll be expected to keep your team engaged and empowered, maintaining the balance between quality and speed. You’ll use your skills and expertise to facilitate the identification and resolution of electrical and mechanical build issues, partnering and engaging with subject matter experts from across the business. Furthermore, you’ll own the culture of your team, driving workshop standards and an unwavering pride in workmanship.
WHAT YOU’LL DO
Leadership
- Lead a team of technicians in robotics assembly, rework, and repair
- Report on delivery, risks, and blockers to the department head
- Own and drive team culture to ensure efficiency, safety, and quality
- Lead by example as someone who embodies the values and ethics of the team they are leading.
- Demonstrate and embed a continuous improvement culture within your team
- Allocate and track the progress of build work orders
- Unblock challenges encountered by your team, escalating blockers where necessary
- Pro-actively identify delivery risks, and work with your team and the senior leadership team to address them
Hands-On Assembly & Integration
- Build electro-mechanical assemblies according to CAD, drawings, and work instructions.
- Perform precise mechanical assembly, harness routing, sensor installation, and connectorisation.
- Support first-article builds, iterations, and rapid design changes.
- Flag issues early and collaborate with engineering to implement fixes.
Support Validation, Debug & Test
- Assist in functional testing of subassemblies and full robots.
- Identify and resolve build or performance issues in real time.
- Work closely with test and integration teams to ensure system readiness.
Be a High-Speed Collaborator
- Communicate clearly with engineers, fellow technicians, and operations.
- Adapt quickly to changing priorities—jump in wherever help is needed.
- Contribute ideas to improve speed, reliability, and quality of builds.
WE’RE LOOKING FOR
- Experienced in leading teams in electromechanical assembly or engineering product development
- 3+ years of experience in electromechanical assembly or hand-assembly of complex systems.
- Proven ability to work with mechanical, electrical, and embedded systems
- Strong attention to detail and a deep sense of build quality and safety.
- Ability to read CAD, mechanical drawings, and wiring diagrams.
- Hands-on experience with common tools, fixtures, soldering, harness assembly, etc.
- You move fast, stay organized, and take pride in solving problems in real time.
- Comfortable working in a fluid, high-urgency environment with evolving designs and short timelines.
WHAT WE OFFER
- Competitive salary plus participation in our Stock Option Plan
- Paid vacation with adjustments based on your location to comply with local labor laws
- Travel opportunities to our Boston and Vancouver offices
- Office perks: free breakfasts and lunches
- Freedom to influence the product and own key initiatives
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
- Startup culture prioritising speed, transparency, and minimal bureaucracy.
Location: Riyadh, Saudi Arabia
Müller’s Solutions is seeking a Senior Splunk Expert to lead the design, implementation, and management of Splunk solutions across our enterprise. In this role, you will be responsible for creating advanced data ingestion, search, and dashboard strategies to deliver actionable insights from complex datasets. You will collaborate with various teams to enhance our monitoring capabilities, improve security posture, and support data-driven decision-making.
Key Responsibilities:
Design, develop, and maintain Splunk infrastructure including indexers, search heads, and forwarders.
Create and optimize Splunk queries, dashboards, and reports to support business and operational needs.
Integrate data sources and ensure data quality and consistency within Splunk.
Implement and manage Splunk apps and add-ons to extend functionality.
Monitor Splunk environment health and perform troubleshooting and performance tuning.
Collaborate with security teams to implement Splunk for security information and event management (SIEM).
Develop automation scripts to streamline Splunk administration and data ingestion processes.
Provide training and support to end-users and other team members.
Stay current with Splunk updates, features, and best practices.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
5+ years of experience working with Splunk in an enterprise environment.
Strong knowledge of Splunk architecture and components.
Proficiency in advanced Splunk Search Processing Language (SPL) and dashboard creation.
Experience integrating various data sources and managing large data volumes.
Experience with Splunk Enterprise Security and IT Service Intelligence is a plus.
Familiarity with scripting languages such as Python or Bash for automation.
Excellent analytical and problem-solving skills.
Strong communication skills and ability to collaborate across teams.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: Cairo, Egypt; Riyadh, Saudi Arabia; Delhi, India; Bucharest, Romania; Dubai, United Arab Emirates
Müller's Solutions is seeking a knowledgeable ServiceNow SPM Technical Consultant to join our expert team. The consultant will play a pivotal role in implementing and supporting ServiceNow Strategic Portfolio Management (SPM) solutions, optimizing portfolio, program, and project management processes for our clients. You will collaborate closely with stakeholders to understand business needs and translate them into effective technical configurations and customizations within the ServiceNow platform.
Responsibilities:
Configure and customize ServiceNow Strategic Portfolio Management (SPM) applications to meet client requirements.
Collaborate with business analysts and stakeholders to gather requirements and develop technical solutions.
Develop and maintain workflows, business rules, and integrations related to ServiceNow SPM.
Provide technical support, troubleshoot issues, and ensure optimal performance of ServiceNow SPM modules.
Conduct testing, including unit, integration, and user acceptance testing to ensure quality delivery.
Document technical specifications, processes, and user guides to assist teams and clients.
Stay up to date with ServiceNow platform capabilities and best practices to continuously improve client solutions.
Provide training and knowledge transfer sessions for clients and team members.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or related field.
Minimum of 3-5 years of experience working with ServiceNow platform, with a strong focus on Strategic Portfolio Management (SPM) modules.
Proficient in ServiceNow SPM configuration, customization, and administration.
Strong knowledge of JavaScript, AngularJS, HTML, and CSS as applied within the ServiceNow environment.
Experience with ServiceNow workflows, business rules, UI policies, and integrations.
Ability to analyze business processes and translate them into technical solutions within ServiceNow.
Excellent troubleshooting and problem-solving skills.
Strong communication and interpersonal skills for effective collaboration with clients and teams.
Relevant ServiceNow certifications (e.g., Certified Implementation Specialist - SPM) are preferred.
Ability to work both independently and within a team environment.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Cairo, Egypt; Riyadh, Saudi Arabia; Delhi, India; Bucharest, Romania; Dubai, United Arab Emirates
Location: Cairo, Egypt; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; New Delhi, India; Bucharest, Romania
Müller’s Solutions is seeking an experienced ServiceNow Strategic Portfolio Management (SPM) Project Manager to lead and oversee ServiceNow SPM implementations and projects. As a key member of our team, you will manage project timelines, coordinate with stakeholders, and ensure successful delivery of ServiceNow SPM solutions that align with our clients’ strategic goals.
Key Responsibilities:
Lead end-to-end project management for ServiceNow Strategic Portfolio Management implementations and upgrades.
Collaborate closely with clients, technical teams, and vendors to define project scope, objectives, and deliverables.
Develop detailed project plans, schedules, and budgets; monitor progress and make adjustments as needed.
Coordinate cross-functional teams, ensuring effective communication and collaboration.
Identify and mitigate project risks and issues promptly.
Ensure adherence to project management best practices and company standards.
Provide regular status updates and reports to stakeholders and senior management.
Promote continuous improvement and adoption of ServiceNow SPM capabilities.
Requirements
Bachelor's degree in Computer Science, Information Technology, Business Administration, or related field.
Proven experience managing ServiceNow SPM projects or related IT portfolio/project management implementations.
Strong knowledge of ServiceNow platform and Strategic Portfolio Management modules.
Excellent project management skills with a track record of delivering projects on time and within budget.
Strong communication, leadership, and stakeholder management skills.
Proficiency in project management tools and methodologies.
Project Management Professional (PMP) or equivalent certification is preferred.
ServiceNow certifications relevant to SPM are an advantage.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Cairo, Egypt; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; New Delhi, India; Bucharest, Romania
Location: Cairo, Egypt; Dubai, United Arab Emirates; Riyadh, Saudi Arabia; Bucharest, Romania; Delhi, India
Müller's Solutions is seeking an experienced
ServiceNow SPM (Strategic Portfolio Management) Consultant
to join our team. In this role, you will be responsible for implementing and optimizing ServiceNow SPM solutions to help clients align their projects and portfolios with business objectives. You will collaborate with stakeholders to drive strategic decision-making through effective portfolio visibility and management.
Key Responsibilities:
Collaborate with clients to understand their portfolio management processes and requirements.
Design, configure, and implement ServiceNow SPM modules to support strategic planning and portfolio management.
Provide guidance on best practices for portfolio governance, demand management, and resource allocation.
Conduct workshops and training sessions to enhance client knowledge of ServiceNow SPM capabilities.
Work closely with cross-functional teams to ensure integration of SPM with other ITSM processes.
Analyze data and generate reports to support portfolio visibility and informed decision-making.
Stay up-to-date with new features and trends in ServiceNow SPM to continually improve client solutions.
Requirements
Requirements:
Bachelor's degree in Business, Information Technology, or a related field.
Minimum 3 years of experience working with ServiceNow SPM or related portfolio management solutions.
Strong knowledge of project and portfolio management concepts and best practices.
Experience configuring and administering ServiceNow SPM modules.
Familiarity with related ITSM and ITBM processes.
Excellent analytical and problem-solving skills.
Strong communication and client engagement skills to facilitate effective workshops and trainings.
Ability to work collaboratively in a team-oriented environment.
Preferred Qualifications:
Relevant ServiceNow certifications related to SPM or ITBM.
Experience with data analytics and reporting tools within ServiceNow.
Familiarity with Agile and SAFe methodologies.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Cairo, Egypt; Dubai, United Arab Emirates; Riyadh, Saudi Arabia; Bucharest, Romania; Delhi, India
Location: Cairo, Egypt; New Delhi, India; Riyadh, Saudi Arabia; Bucharest, Romania; Dubai, United Arab Emirates
Müller's Solutions is looking for a skilled ServiceNow SPM (Strategic Portfolio Management) Architect to join our team. In this role, you will be responsible for designing and implementing strategic portfolio management solutions using the ServiceNow platform to help organizations align their portfolios with business objectives and drive better decision-making.
Your expertise will contribute to the optimization of project, program, and portfolio management processes, ensuring effective resource utilization and improved business outcomes.
Key Responsibilities:
Lead the design and implementation of ServiceNow SPM solutions aligned with enterprise strategy and governance.
Collaborate with stakeholders to gather requirements and translate them into effective architectural designs for SPM modules including demand management, project portfolio management, resource management, and financial planning.
Develop and enforce best practices and governance frameworks for effective portfolio oversight.
Integrate SPM solutions with other ServiceNow modules and external systems to provide end-to-end visibility and reporting.
Drive automation of workflows to improve process efficiency and data accuracy.
Provide technical leadership and mentoring to development teams and project managers.
Ensure solutions meet compliance, security, and scalability standards.
Stay updated on ServiceNow SPM capabilities and industry trends to recommend continuous improvements.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, Business Administration, or related field.
At least 5 years of experience working with ServiceNow platform, with a focus on Strategic Portfolio Management (SPM).
Strong understanding of portfolio, program, and project management methodologies and best practices.
Experience in designing and delivering ServiceNow SPM solutions including demand, resource, and financial management.
Proficiency with ServiceNow architecture principles, configuration, and integration techniques.
Effective communication skills, capable of working with business stakeholders and technical teams.
Demonstrated problem-solving skills and the ability to manage multiple priorities in a dynamic environment.
ServiceNow certifications relevant to SPM or ITOM are highly desirable.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Cairo, Egypt; New Delhi, India; Riyadh, Saudi Arabia; Bucharest, Romania; Dubai, United Arab Emirates
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
Anthropic's Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs — and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next.
Responsibilities
Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility
Partner with engineering to scope and ship quickly, staying close to the work in a fast-moving prototyping environment
Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage
Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time
Sit in on crowd worker and vendor sessions to systematically understand pain points
Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores
Minimum Qualifications
You May Be a Good Fit If You
Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well
Are drawn to ambiguous, high-stakes environments where you’ll play a big role in defining the product strategy
Shipped products where they had to deeply understand technical constraints, not just translate requirements
Experience working directly with research teams, ideally in AI/ML contexts
Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology
Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective
Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data
Preferred Qualifications
Strong Candidates May Also Have
Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines
Experience working with researchers who are internal users/customers
Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows
Strong project management skills: prioritization, communicating across team/org boundaries
The ideal candidate has the following virtues/values:
Have 5+ years in product management, with experience launching new products and scaling existing products.
Intellectual curiosity without ego: Comfortable not knowing things and asking questions to learn
Autonomous learning: Able to independently figure out how systems work and develop expertise quickly
Researcher EQ: Deep understanding of how researchers think and what motivates them
Product creativity: Ability to see novel product opportunities emerging from research capabilities
Founder mentality: Track record of doing whatever it takes to ship highly technical products
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:
$305,000
—
$385,000 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: New York, NY; Austin, TX; San Francisco, CA
Workplace: Hybrid
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the "First Customer," building the AI-native systems that power our technical support, onboarding, and customer success engines.
You will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.
YOU WILL:
- Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.
- Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.
- Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.
- Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.
- Build Onboarding Workflows: Develop "AI-native onboarding" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.
WHAT WE ARE LOOKING FOR:
- AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph.
- Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production.
- Self-Directed "Founder" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.
- Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications.
- Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture.
Nice to Haves:
- Expertise with LangSmith for evaluation and monitoring.
- Experience building or maintaining open-source projects.
- A background in technical consulting, solutions engineering, or high-growth GTM teams.
Compensation:
- We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.
- Salary: $160K - $180K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Greece
Workplace: OnSite
DESCRIPTION
ROLE HIGHLIGHTS
- Subsystem Assembly Technician
- Location: Athens, Greece
- Department: Global Manufacturing Organisation
- Reports to: Production Facility Manager
- Employment type: Permanent
- Workplace model: Office
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
The mission of this role is to ensure every mechanical subsystem delivered for satellite integration works exactly as intended by inspecting, assembling and validating it with clear, reliable evidence. It also exists to catch issues early, fix them at the source and keep the entire build process traceable and unblocked so spacecraft can be assembled and launched with confidence.
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
- Your Day-to-day Responsibilities
- Perform inspection, assembly, and verification of mechanical subsystems and panel-level assemblies
- Integrate structural elements including CFRP panels, sandwich structures, and mechanical components
- Execute panel assembly, including module installation and routing of wiring harnesses (RF, CAN, power, thermal sensors)
- Ensure subsystem readiness (e.g. antennas, solar panels) through testing and validation procedures
- Collaborate with Engineering, AIT, and Quality teams to resolve integration issues and improve manufacturability
- Monitor production progress and proactively escalate blockers to maintain workflow continuity
- Support root cause analysis and non-conformance resolution
- Contribute to First Article Inspection (FAI) activities and ensure proper documentation and traceability
- Perform or support incoming inspection of mechanical and structural components
- Maintain accurate records in line with aerospace manufacturing and quality standards
REQUIREMENTS:
MUST HAVES
- Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or a related technical field
- 1+ years of hands-on experience in mechanical assembly, inspection, or integration within aerospace or other high-reliability environments
- Proven experience working with mechanical subsystems and structural assemblies (e.g. panels, brackets, electro-mechanical units)
- Hands-on experience with composite materials (e.g. CFRP), sandwich structures, solar panels, or precision mechanical components
- Experience with panel-level integration, including module installation and wiring harness routing/handling
- Basic understanding of electrical integration principles, including connectors, grounding, and cable types (RF, CAN, power, thermal sensors)
- Familiarity with manufacturing quality standards, documentation, and traceability requirements
- Experience supporting root cause analysis and non-conformance resolution
- Comfortable working in a fast-paced production environment with evolving priorities and deadlines
- Hands-on mindset with willingness to work on the shop floor and support cross-functional teams directly
- Strong communication skills and ability to collaborate with Production, Engineering, QA, and Planning
- High level of ownership, attention to detail, and continuous improvement mindset
NICE TO HAVES
- Experience with satellite structures and panel integration, including CFRP panels, sandwich constructions, and RANT assemblies
- Hands-on experience with full panel assembly, including integration and routing of RF, CAN, power, and thermal sensor cabling
- Understanding of thermal management and interfaces (e.g. thermal pads, pastes, sensor integration)
- Experience with incoming inspection of composite and machined parts
- Knowledge of environmental and mechanical testing (e.g. vibration, shock, thermal vacuum)
- Familiarity with aerospace standards such as IPC, ECSS, or similar
- Experience in NewSpace or small satellite production environments
- Experience working in cleanroom environments and satellite integration flows
- Familiarity with ERP/MES systems in manufacturing
APPLICATION PROCESS
- Talent Acquisition Interview
- Hiring Manager General Interview
- Technical Interview (onsite or virtual), including a Technical Challenge
- 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 http://iceye.com.
Location: Vancouver, Canada; Houston, United States
Role:
As part of the System Engineering Department, the Flight Operations System Engineer will participate, and coordinate the work needed for the analysis, planning and definition of the constellation operations ConOps, and the preparations, testing and execution of the operations procedures.
Tasks:
The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate.
Trade-off studies to design, develop and simulate the overall Satellite LEOP plan.
Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings.
Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings.
Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission.
Support In-Orbit Test (IOT), anomaly resolution + FDIR.
Support the Satellite Simulator Operation and script development.
Must haves
:
Bachelor’s degree in engineering in a relevant field
At least 10 years of relevant practical experience
Previous experience with LEO/MEO satellite systems.
Experience with automated satellite operations, especially design and IOT.
Systems Engineering experience in concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts.
Experience creating or using models and/or simulation software.
Knowledge of Python or other scripting languages
Knowledge of Matlab
Knowledge of AG1's Systems Tool Kit (STK)
Complementary skills/knowledge
:
Previous experience in Constellation Operations
Development and testing of new automated operations
Knowledge of MS Excel, for the purposes of engineering analyses
Knowledge of requirements Management tools such as DOORS/Windchill/Jama
Demonstrated capability to efficiently work with little to no supervision
Strong written and verbal communications skills in English, knowledge of French will be considered favorably
Location: Vancouver, Canada; Houston, United States
Role:
As part of the System Engineering Department, the Flight Operations Engineer will participate, and coordinate the work needed for the definition, development and execution of the constellation operations, and the preparations, implementation, testing and verification of the operations procedures.
Tasks:
The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate.
Trade-off studies regarding the design, develop and testing of the satellite/constellation operations procedures.
Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings.
Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings.
Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission.
Support In-Orbit Test (IOT), anomaly resolution + FDIR.
Support the Satellite Simulator Operation and script development.
Must haves:
Bachelor’s degree in engineering in a relevant field
At least 7 years of experience
Previous experience with
LEO/MEO SatOps
.
Experience with
automated satellite operations and IOT
Experience in
concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts.
Knowledge in
Python
or other scripting languages
Complementary skills/knowledge:
AG1's Systems Tool Kit (STK)
Requirements Management tools such as DOORS/Windchill/Jama
Previous experience in Constellation Operations
The design, development and testing of new automated operations flows and scripts.
Experience creating or using models and/or simulation software.
Demonstrated capability to efficiently work with little to no supervision
Strong written and verbal communications skills in English, knowledge of French will be considered favorably
Location: Toulouse, France; United States; United Kingdom
The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized.
Tasks summary:
Architecture Concept & Requirements
• Gather functional, performance, environmental and security requirements from mission
stakeholders & CONOPs.
• Map requirements to payload equipment performance with I/F with on-board processor
• Coordinate with cybersecurity team for payload‑specific assessments
• Perform requirement management and maintain bidirectional traceability throughout the
program life cycle.
Payload Architecture & Design
• Implement the high‑level digital payload architecture (optical ISLs, Phased array antennas,
Feeder links & front‑end), master reference oscillator & clock synchronizations.
• Produce Interface Control Documents (ICDs) with other subsystems and ground segment.
• Implement high‑speed data‑bus I/F (SpaceWire, SpaceFibre, Ethernet, CAN).
Simulation & Analysis
• Perform performance simulations (Gain, Spurious, Linearity, SNR, dynamic range, spectral
efficiency, G/T, EIRP…etc.) and Monte‑Carlo analyses for tolerance budgeting.
• Define and maintain Payload DC power budget with traffic & utilization models
• Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission
objectives
Hardware & Firmware
• Provide system‑level specifications to hardware designers, review schematics, layouts, thermal
interfaces, and mechanical constraints.
• Support SW development for MODCODs and on‑board processing pipelines; ensure BIST,
timing, latency and deterministic behavior.
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior
management and/or customers or partners.
• Support payload design authority in System design reviews, Power/Structure/Thermal
interfaces and Mission Operations assessments.
• Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and
Mission‑Operations teams to resolve integration issues early.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level
test, environmental and electromagnetic compatibility (EMC) test campaigns.
• Lead test‑automation framework set‑up, test‑case definition, results analysis and test‑report
certification.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
• Contribute to the company’s knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
• Ensure all artefacts, analysis, software, deliverables and documentation are version controlled
in PLM environment.
• Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
On Orbit & Operations Support
• Provide technical support to Mission Operations for routine payload health monitoring,
contingency handling and performance trending.
• Lead root‑cause investigations for on‑orbit anomalies; update design baselines and
lessons‑learned.
• Analyze on‑orbit telemetry, update filter parameters, and generate performance reports.
• Support SOOH development and associated operator training.
Required Qualifications:
B.Sc. in Electrical Engineering, Aerospace or Physics with 8 + years of digital regenerative
payload system design experience on LEO/MEO missions.
Comprehensive knowledge of digital communications, SDR, DSP, DVB RCS/SX protocols,
Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G NTN.
Strong technical-writing ability (requirements, ICDs, test procedures, risk reports) and
presentation skills; comfortable interfacing with customers, suppliers and senior leadership.
Strong understanding of aerospace system engineering fundamentals.
Hands-on individual who can support systems integration processes and capability to test
systems and resolve problems.
Experience with Confluence and JIRA.
Demonstrated capability to efficiently work with little supervision.
Ability to distill complex problems to fundamentals to solve with analysis, similarity, or
creativity.
Demonstrate excellent written and oral communication skills in English; knowledge of French
will be considered an asset (Contact with clients outside Quebec and work on deliverables in
English).
Location: Toulouse, France; United States; United Kingdom
The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized.
Tasks summary:
Architecture Concept & Requirements
• Establish functional, performance, environmental and security requirements with mission
stakeholders & CONOPs.
• Translate requirements into clear payload performance parameters and maintain bidirectional
traceability throughout the project lifecycle.
• Establish with cybersecurity team payload‑specific requirements & embed resilience and
security by design.
Payload Architecture Definition
• Define the overall digital regenerative payload architecture (optical/RF ISLs, antenna arrays,
digitizers/ onboard processing, Feeder links, master reference oscillator & clock
synchronizations).
• Define Interface Control Documents (ICDs) with spacecraft bus, ground segment and payload
specific subsystems.
• Define high‑speed data‑bus I/F (Serdes, SpaceWire, SpaceFibre, Ethernet, CAN, fiber).
Trade‑Study & Technology Road‑Mapping
• Lead trade‑offs for technologies, ASIC/FPGAs/SoCs, high‑speed data‑bus, and on‑board
processing algorithms, PVT.
• Identify emerging technologies and incorporate them into the company’s long‑term roadmap.
System Modeling & Performance Simulation
• Build end‑to‑end models of the signal chain (optical/RF, analog/digital) using
MATLAB/Simulink, SystemView or Python‑based toolkits.
• Run Monte‑Carlo and tolerance analyses to verify gain, SNR, dynamic range, spectral
efficiency, G/T, EIRP and other key metrics.
• Optimize payload design and performance with operation with traffic models/CONOPs.
Simulation & Analysis
• Oversee performance simulations & analysis (Gain, Spurious, Linearity, SNR, dynamic range,
spectral efficiency, pointing, G/T, EIRP…etc.) and tolerance budgeting.
• Optimize Payload DC power budget with traffic & utilization models.
Hardware & Firmware
• Own system‑level specifications to hardware designers, review schematics, layouts, thermal &
mechanical interfaces.
• Oversee MODCODs selection and on‑board processing pipelines; define BIST, timing, latency
and deterministic behavior.
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior
management and/or customers or partners.
• Act as the primary technical liaison with Electrical, Power, Structures, Thermal, Software,
Ground Segment and Mission Operations teams to resolve integration issues early.
• Support payload design authority in System design reviews and Mission Operations
hand‑over.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Author Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test,
environmental and electromagnetic compatibility (EMC) test campaigns.
• Define test‑automation framework set‑up, test‑case definition, results analysis and test‑report
certification.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
• Contribute to the company’s knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
• Ensure all artefacts, analysis, software, deliverables and documentation are version controlled
in PLM environment.
• Chair design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
On Orbit & Operations Support
• Technical support to Mission Operations for routine payload health monitoring, contingency
handling and performance trending.
• Lead root‑cause investigations for on‑orbit anomalies; update design baselines and
lessons‑learned.
• Analyze on‑orbit telemetry, update filter parameters, and generate performance reports.
• Define SOOH and associated operator training.
Required Qualifications:
B.Sc. in Electrical Engineering, Aerospace or Physics (M.Sc. preferred) with 12 + years of digital
regenerative payload system design experience on LEO/MEO missions.
Comprehensive knowledge of digital regenerative communications, SDR, DSP, DVB RCS/SX
protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G, NTN.
Strong technical writing ability (requirements, ICDs, test procedures, risk reports) and
presentation skills; comfortable interfacing with customers, suppliers and senior leadership.
Strong understanding of aerospace system engineering fundamentals.
Hands-on individual who can support systems integration processes and capability to test
systems and resolve problems.
Experience with Confluence and JIRA.
Demonstrated capability to efficiently work with little supervision.
Ability to distill complex problems to fundamentals to solve with analysis, similarity, or
creativity.
Demonstrate excellent written and oral communication skills in English; knowledge of French
will be considered an asset (Contact with clients outside Quebec and work on deliverables in
English).
Location: Toulouse, France; United States; United Kingdom
The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized.
Tasks summary:
Architecture Concept & Requirements
• Gather functional, performance, pointing, environmental and security requirements from
mission stakeholders & CONOPs.
• Capture, trace and map payload requirements from mission level to subsystem level
• Coordinate with cybersecurity team for payload‑specific assessments
• Perform requirement management and maintain bidirectional traceability throughout the
program life cycle.
Payload Architecture & Design
• Design the SAR system architecture (antenna arrays & RF front-end Tx/Rx components, digital
beamforming, processing chain and digital electronics, power, thermal, and mass).
• Lead the conceptual, preliminary, and detailed design phases, producing trade studies,
performance budgets).
• Produce Interface Control Documents (ICDs) with other subsystems and ground segment.
• Provide system‑level specifications to hardware designers, review schematics, layouts, thermal
interfaces, and mechanical constraints
Simulation & Analysis
• Perform performance simulations for tolerance budgeting and image quality.
• Support algorithm and analytical development to process SAR.
• Define and maintain Payload DC power budget with utilization models.
• Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission
objectives
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior
management and/or customers or partners.
• Support payload design authority in System design reviews, Power/Structure/Thermal
interfaces and Mission Operations assessments.
• Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and
Mission‑Operations teams to resolve integration issues early.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level
test, environmental and electromagnetic compatibility (EMC) test campaigns.
• Lead test‑automation framework set‑up, test‑case definition, results analysis and test‑report
certification.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
• Contribute to the company’s knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
• Ensure all artefacts, analysis, firmware, deliverables and documentation are version controlled
in PLM environment.
• Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
On Orbit & Operations Support
• Provide technical support to Mission Operations for routine payload health monitoring,
contingency handling and performance trending.
• Lead root‑cause investigations for on‑orbit anomalies; update design baselines and
lessons‑learned.
• Analyze on‑orbit telemetry, update filter parameters, and generate performance reports.
• Support SOOH development and associated operator training.
Required Qualifications:
B.Sc. in Electrical Engineering, Computer science or Physics with 10 + years of experience
supporting SAR remote sensing system development, integration and test on LEO/MEO
missions.
Strong technical-writing ability (requirements, ICDs, test procedures, risk reports) and
presentation skills; comfortable interfacing with customers, suppliers and senior leadership.
Strong understanding of aerospace system engineering fundamentals.
Hands-on individual who can support systems integration processes and capability to test
systems and resolve problems.
Experience with Confluence and JIRA.
Demonstrated capability to efficiently work with little supervision.
Ability to distill complex problems to fundamentals to solve with analysis, similarity, or
creativity.
Demonstrate excellent written and oral communication skills in English; knowledge of French
will be considered an asset (Contact with clients outside Quebec and work on deliverables in
English).
УдалённоСтажёрCanada; Dubai; London; United States; United Kingdom
УдалённоUnited States; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
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