Location: Canada; United States
Tasks summary:
Architecture Concept & Requirements
• Translate mission‑level requirements into C&DH functional and non‑functional specifications.
• Produce System Requirements, Interface Control (ICDs), and Description documents.
• Perform requirement management and maintain bidirectional traceability throughout the project lifecycle.
• Collaborate with cyber-security to embed resilience and security by design, ECU.
Design & Development
• Lead detailed design of on‑board processors, data‑buses (SpaceWire, MIL‑1553, CAN, Ethernet), memory subsystems, and I/O interfaces.
• Support software architecture: command sequencing, telemetry packetization, health‑monitoring, services, fault‑detection‑isolation‑recovery (FDIR).
• Support Satellite Reference Database development and validation
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners.
• Work with FSW teams to define RTOS, APIs, task scheduling, real‑time operating system configuration, services usage.
• Define uplink command formatting, downlink telemetry packet structures, and ground‑segment data‑handling interfaces (mission‑control servers, data‑archiving pipelines).
• Coordinate with the TT&C/PDT engineering and Ground Segment ICDs to ensure end‑to‑end data integrity.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft level C&DH tests.
• Execute functional tests, bus‑protocol compliance, SIL and HIL campaigns.
• Manage anomaly investigations, root‑cause analysis, and corrective‑action implementation.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
Configuration, Documentation & Standards Management
• Author and maintain C&DH standards (bus protocols, data‑format conventions, redundancy policies).
• Ensure all artefacts, analysis and documentations are version controlled in PLM environment.
• Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation
On‑Orbit & Operations Support
• Support launch‑pre‑launch and early‑orbit checkout, validate satellite functions, HK and nominal operation
• Support and analyse on‑orbit telemetry, update filter parameters as needed.
• Support SOOH development and associated operator trainings
Required Qualifications:
• B.Sc. in Electrical Engineering, Aerospace or related field with 8+ years of C&DH engineering experience on LEO/MEO/GEO platforms.
• Deep knowledge of spacecraft data-bus standards: SpaceWire, MIL-1553, CAN-A, Ethernet, CCSDS packet telemetry/command and PUS services.
• Knowledge in processor, FPGA, firmware and embedded
• Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics.
• 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).
Canada; United States; (Fastwater Staffing) Satellite Command & Data‑Handling (C&DH) System Engineer | Canada [Full Relocation Package]
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Staff Backend Engineer - Mimir Query, Databases
This is a remote position. We are looking for candidates in the USA time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases team owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with
Grafana Enterprise Metrics
,
Grafana Enterprise Logs
, and
Grafana Enterprise Traces
. They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure).
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
Mimir Squad
The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the
Mimir OSS project
, and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly.
A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems.
What will you be doing:
Take an active role in influencing our roadmap and your own career objectives
Work with your team to deliver new features, then use the results to iterate and improve.
Drive projects from initial idea all the way to operations once it is in the hands of customers
Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
Support other team members, participate in design discussions and collaborate with the team
Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time.
Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must.
Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
Experience with leading and delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven and collaborative way
Experience with developing software that runs in the Cloud
or
experience with systems engineering
Experience with being on-call and following the DevOps model
Experience writing clean, robust, and performant software that is easily maintained by others
Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.
Comfortable with microservices architecture and distributed systems
Experience and comfort developing with LLMs like Claude and Codex on your day to day
Bonus Points For:
Experience working with Kubernetes
Experience working with queue systems, e.g. the Kafka protocol
Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
Familiarity with the concept of infrastructure as code
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD
189,374
- USD
227,249
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Staff Backend Engineer - Mimir Query, Databases
This is a remote position. We are looking for candidates in Canadian time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases team owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with
Grafana Enterprise Metrics
,
Grafana Enterprise Logs
, and
Grafana Enterprise Traces
. They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure).
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
Mimir Squad
The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the
Mimir OSS project
, and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly.
A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems.
What will you be doing:
Take an active role in influencing our roadmap and your own career objectives
Work with your team to deliver new features, then use the results to iterate and improve.
Drive projects from initial idea all the way to operations once it is in the hands of customers
Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
Support other team members, participate in design discussions and collaborate with the team
Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time.
Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must.
Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well
Experience with leading and delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven and collaborative way
Experience with developing software that runs in the Cloud
or
experience with systems engineering
Experience with being on-call and following the DevOps model
Experience writing clean, robust, and performant software that is easily maintained by others
Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.
Comfortable with microservices architecture and distributed systems
Experience and comfort developing with LLMs like Claude and Codex on your day to day
Bonus Points For:
Experience working with Kubernetes
Experience working with queue systems, e.g. the Kafka protocol
Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
Familiarity with the concept of infrastructure as code
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD
192,891
- CAD
231,469
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Canada; United States
Tasks summary:
Architecture Concept & Requirements
• Translate mission‑level ΔV, thrust, lifetime, and reliability goals into EP system requirements (performance, power, mass, contamination, EMI).
• Produce System Requirements, Interface Control Documents (ICDs), and Description documents for thruster assemblies, Power‑Processing Units (PPU), propellant feed & storage, and control electronics.
• Perform requirement management and maintain bidirectional traceability throughout the project lifecycle.
Detailed Design
• Perform system‑level power, thermal, and mass budget analyses; produce trade‑off matrices (thrust vs. power vs. propellant mass, reliability vs. complexity).
• Lead detailed mechanical/electrical design of thruster mounting, heater/thermal control, and PPU (converter, regulator, fault‑protection).
• Define propellant handling hardware (tanks, valves, feed‑lines, interconnects) and develop contamination control procedures.
• Negotiate ICDs and interface agreements with external thruster vendors and component suppliers.
Modeling & Simulation
• Support or Develop 1‑D/3‑D plume models and perform reliability prediction.
Software & Control
• Define command and telemetry interfaces for EP & health‑monitoring telemetry.
• Work with FSW teams to develop thrust profile generation, and fault detection isolation recovery (FDIR) algorithms.
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners.
• Negotiate and manage ICDs with platform subsystems and supplier teams.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft‑level EP tests.
• Oversee hardware‑in‑the‑loop (HIL) and thrust‑stand testing, including thrust‑calibration, specific impulse measurement, pulse‑modulation, and lifetime cycling.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
Configuration, Documentation & Standards Management
• Author and maintain client's EP standards (thruster qualification, PPU design, contamination limits).
• Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment.
• Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
Launch-Site, On-Orbit & Operations Support
• Provide real‑time EP support during launch, early‑orbit checkout, and routine station‑keeping.
• Support on‑orbit checkout procedures, thruster test campaigns, and contingency recovery plans.
• Support SOOH development and associated operator training.
Required Qualifications:
· B.Sc. in Electrical Engineering, Aerospace, or Physics with 8+ years of electrical propulsion engineering experience on LEO/MEO platforms.
· Strong knowledge of EP thruster families and their performance characteristics.
· Experience with propellant storage & feed-system design (tanks, valves, micro-valves).
· Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics.
· 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 to no 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).
· Support the Spacecraft operations team in critical phases
Location: Espoo; Berlin
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Senior/Staff Platform Observability Engineer
- Location: Espoo, Finland / Berlin, Germany
- Department: Platform & Release Engineering
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO,)
WHY THIS ROLE MATTERS:
As a Platform Observability Engineer, you’ll make the health of ICEYE’s systems visible, actionable, and reliable. You’ll build and evolve the observability foundation across metrics, logs, and traces, helping teams detect issues early, understand failures faster, and operate their services with confidence. Your work will go beyond dashboards and alerts. You’ll reduce operational noise, eliminate blind spots, and give product teams the tools and autonomy to run reliable services.
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 and continuously improve a unified, production-grade observability stack covering metrics, logs, and traces, giving every team a consistent, self-service way to understand and operate the health of their services.
- Build and maintain trusted alerting by tuning alerts against clear SLOs/SLIs, reducing noise, improving ownership and ensuring real issues surface early.
- Define, document, and drive adoption of instrumentation standards covering metric naming, label cardinality, structured logging, and distributed tracing with OpenTelemetry.
- Enable product teams to diagnose and resolve incidents faster through well-designed dashboards, runbooks, hands-on support, and practical observability guidance.
- Run the observability platform like a product, owning its roadmap, interfaces, reliability, scalability, and cost across areas such as retention, sampling, and cardinality.
- Provide clear technical direction for observability across the engineering organisation, making pragmatic architectural trade-offs and helping teams adopt platform capabilities effectively.
WHAT WE’RE LOOKING FOR
Must haves:
1. Observability platform ownership at scale
6+ years in Platform Engineering, Observability, or infrastructure roles, with end-to-end ownership of a production observability stack (for example the LGTM stack - Loki, Grafana, Tempo, Mimir/Prometheus - or an equivalent metrics/logs/traces platform) at scale.
- Instrumentation & telemetry: OpenTelemetry adoption, metric and label design, structured logging, and distributed tracing across complex, multi-team systems.
- SLO/SLI & error budgets: dashboards and alerting that surface real problems early while minimizing noise and false positives.
- Platform as a product: treating other engineering teams as customers, with clear interfaces and a roadmap shaped by their needs.
- Alerting & reliability attitude: comfortable with on-call, driving blameless learning from incidents, and continuously tuning signal quality instead of letting alert fatigue set in.
2. Software engineering foundation
- A background that includes time spent writing and shipping production software, bringing engineering instincts to building tooling and automation rather than only operating what already exists.
- Proficiency in at least one backend language (for example Python or Go) for automation, tooling, and building internal observability capabilities.
3. Long-term ownership of your own decisions
Demonstrated experience owning the long-term consequences of your own architectural and tooling decisions - having lived with what you built through its maintenance, upgrades, and failure modes, not just its initial rollout.
4. Communication
Excellent written and verbal communication skills in English, able to explain complex system behavior clearly to both engineers and non-technical stakeholders.
Nice to haves:
1. Platform & telemetry breadth
- Rancher, Istio, and Kubernetes-native observability patterns (service mesh telemetry, sidecars, eBPF-based tooling).
- Bridging hybrid environments across AWS and on-prem platforms such as vSphere/VxRail.
- Managing cost and cardinality on large-scale telemetry pipelines (retention policies, sampling, downsampling).
2. Practices that spread beyond your own team
- Defining SLO/SLI frameworks or observability standards adopted across multiple teams.
- Running or contributing to incident response and blameless postmortem processes.
- Mentoring engineers and raising engineering maturity through technical leadership and enablement.
3. Domain context
Background in regulated, security-sensitive, or mission-critical domains.
APPLICATION PROCESS
- Recruiter interview
- Hiring manager interview
- Task Assignment + Technical interview
- Stakeholder interview
- Behavioural interview to assess cultural fit
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: Montreal, Canada
Tasks summary:
Architecture Concept & Requirements
Translate mission‑level ΔV, thrust, lifetime, and reliability goals into EP system requirements (performance, power, mass, contamination, EMI).
Produce System Requirements, Interface Control Documents (ICDs), and Description documents for thruster assemblies, Power‑Processing Units (PPU), propellant feed & storage, and control electronics.
Perform requirement management and maintain bidirectional traceability throughout the project lifecycle.
Detailed Design
Perform system‑level power, thermal, and mass budget analyses; produce trade‑off matrices (thrust vs. power vs. propellant mass, reliability vs. complexity).
Lead detailed mechanical/electrical design of thruster mounting, heater/thermal control, and PPU (converter, regulator, fault‑protection).
Define propellant handling hardware (tanks, valves, feed‑lines, interconnects) and develop contamination control procedures.
Negotiate ICDs and interface agreements with external thruster vendors and component suppliers.
Support or Develop 1‑D/3‑D plume models and perform reliability prediction.
Modeling & Simulation
Software & Control
Define command and telemetry interfaces for EP & health‑monitoring telemetry.
Work with FSW teams to develop thrust profile generation, and fault detection isolation recovery (FDIR) algorithms.
Cross‑Functional Coordination, Stakeholder & Program Interaction
Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners.
Negotiate and manage ICDs with platform subsystems and supplier teams.
Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft‑level EP tests.
Oversee hardware‑in‑the‑loop (HIL) and thrust‑stand testing, including thrust‑calibration, specific impulse measurement, pulse‑modulation, and lifetime cycling.
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 MDA’s knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
Author and maintain MDA EP standards (thruster qualification, PPU design, contamination limits).
• Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment.
Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
Support Technology Road‑Mapping & Innovation.
Launch-Site, On-Orbit & Operations Support
Provide real‑time EP support during launch, early‑orbit checkout, and routine station‑keeping.
Support on‑orbit checkout procedures, thruster test campaigns, and contingency recovery plans.
Support SOOH development and associated operator training.
B.Sc. in Electrical Engineering, Aerospace, or Physics with 8+ years of electrical propulsion engineering experience on LEO/MEO platforms.
Strong knowledge of EP thruster families and their performance characteristics.
Experience with propellant storage & feed‑system design (tanks, valves, micro‑valves).
Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics.
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 to no 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).
Support the Spacecraft operations team in critical phases.
Required Qualifications:
• B.Sc. in Electrical Engineering, Aerospace, or Physics with 8+ years of electrical propulsion engineering experience on LEO/MEO platforms.
• Strong knowledge of EP thruster families and their performance characteristics.
• Experience with propellant storage & feed system design (tanks, valves, micro valves).
• Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics.
• 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 to no 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).
• Support the Spacecraft operations team in critical phases.
Location: Montreal, Canada
Role overview:
Our client is seeking a
System Engineer
to perform design, integration, verification, and operational support of
TT&C/PDT
subsystems for current and next‑generation remote sensing and communications satellites. The role will interface with spacecraft payload teams, ground‑segment developers, and mission‑operations teams to ensure reliable command delivery, high‑fidelity telemetry acquisition, and robust data handling throughout the satellite life‑cycle.
Tasks summary:
Architecture Concept & Requirements
Define TT&C/PDT functional architecture (command generation, uplink, telemetry downlink, on‑board data handling, RF front‑end).
Conduct trade‑studies for modulation schemes, coding, frequency plans, ranging and link budgets.
Produce System Requirements, Interface Control (ICDs), and Description documents.
Perform requirement management and maintain bidirectional traceability throughout the project lifecycle.
Collaborate with cyber‑security to embed resilience and security by design.
Design & Development
Lead detailed design of hardware (TT&C transceiver, RF front‑ends, antenna‑pointing) and software (command sequencer, telemetry parser, health‑monitoring).
Perform link‑budget analysis, RF simulation (e.g., STK, Matlab), and error‑budget budgeting.
Verify compliance with CCSDS, ECSS, ITU, and regulatory standards.
Support Satellite Reference Database development and validation
Cross‑Functional Coordination, Stakeholder & Program Interaction
Present technical status, risk analyses, and trade‑study results to senior management.
Negotiate and maintain ICDs and interface agreements with internal & external suppliers.
Support B&P (Phase 0 & pre-Phase A).
Integration & Verification (IVV)
Develop test plans, procedures, and verification matrices for unit, subsystem, and spacecraft‑level TT&C tests.
Execute RF link testing, BER, command latency, and telemetry integrity verification.
Manage anomaly investigation, root‑cause analysis, and corrective actions.
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 client’s knowledge‑base, process enhancements, and standards.
Configuration, Documentation & Standards Management
• Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment.
Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
Support Technology Road‑Mapping & Innovation
On‑Orbit & Operations Support
Support launch‑pre‑launch and early‑orbit checkout – validate command uplink, telemetry acquisition, and on‑board software hand‑over.
Provide real‑time C&T support during nominal and contingency operations.
Maintain ground‑segment configuration (gateways, mission control servers, monitoring dashboards).
Support SOOH development and associated operator trainings.
Required Qualifications:
B.Sc. in Electrical Engineering, Aerospace or related field with 8+ years of TT&C/PDT System design experience on LEO/MEO/GEO platforms.
Strong knowledge of CCSDS TM/TC packet standards, ECSS telemetry & command protocols, PUS services and ITU frequency regulations.
Proficiency in RF link‑budget analysis, S‑band/X‑band/Ka‑band modem architecture.
Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics.
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: Montreal, Canada
Summary:
Manage, monitor, and control LEO/MEO communication constellation satellites. 24/7 mission operations — telemetry analysis, command execution, anomaly troubleshooting. Key areas: satellite health monitoring, orbit maintenance,
collision avoidance (conjunction analysis)
, ground station coordination, flight procedure development, scripting automation. Shift work in SOCC required.
Key requirements:
B.Sc. Electrical Engineering, Aerospace, or related |
10+ years
LEO/MEO mission planning, on-orbit testing, and operations
Strong space systems engineering — orbit mechanics, space environment, RF telecom
Ground segment + space segment knowledge
LEOP (Launch & Early Orbit Phase) experience
Collision avoidance / conjunction analysis / ITU-FCC-ESA compliance
GNC knowledge (collaborates with GNC team)
Confluence + JIRA experience
English required; French is an asset (Montreal)
This role is operations-focused, not pure RF.
Look for candidates who have worked in mission operations centers (SOCC), managed satellite telemetry/commands, and have LEOP experience. RF background is helpful but not the primary filter.
Location: Montreal, Canada
Role overview:
Our client is seeking a
Satellite C&DH System Engineer
to support and/or design, integrate, verify, and support the on‑board command, control and data management functions for current and next‑generation remote sensing & communications satellite programs. The role will own the C&DH functional architecture, drive trade‑studies, and may provide technical authority throughout the spacecraft life‑cycle.
Tasks summary:
Architecture Concept & Requirements
Translate mission‑level requirements into C&DH functional and non‑functional specifications.
Produce System Requirements, Interface Control (ICDs), and Description documents.
Perform requirement management and maintain bidirectional traceability throughout the project lifecycle.
Collaborate with cyber‑security to embed resilience and security by design, ECU.
Design & Development
Lead detailed design of on‑board processors, data‑buses (SpaceWire, MIL‑1553, CAN, Ethernet), memory subsystems, and I/O interfaces.
Support software architecture: command sequencing, telemetry packetization, health‑monitoring, services, fault‑detection‑isolation‑recovery (FDIR).
Support Satellite Reference Database development and validation
Cross‑Functional Coordination, Stakeholder & Program Interaction
Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners.
Work with FSW teams to define RTOS, APIs, task scheduling, real‑time operating system configuration, services usage.
Define uplink command formatting, downlink telemetry packet structures, and ground‑segment data‑handling interfaces (mission‑control servers, data‑archiving pipelines).
Coordinate with the TT&C/PDT engineering and Ground Segment ICDs to ensure end‑to‑end data integrity.
Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft level C&DH tests.
• Execute functional tests, bus‑protocol compliance, SIL and HIL campaigns.
• Manage anomaly investigations, root‑cause analysis, and corrective‑action implementation.
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 our client’s knowledge‑base, process enhancements, and standards.
Configuration, Documentation & Standards Management
Author and maintain C&DH standards (bus protocols, data‑format conventions, redundancy policies).
Ensure all artefacts, analysis and documentations are version controlled in PLM environment.
Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
Support Technology Road‑Mapping & Innovation
On‑Orbit & Operations Support
Support launch‑pre‑launch and early‑orbit checkout, validate satellite functions, HK and nominal operation
Support and analyse on‑orbit telemetry, update filter parameters as needed.
• Support SOOH development and associated operator trainings
Required Qualifications:
B.Sc. in Electrical Engineering, Aerospace or related field with 8+ years of C&DH engineering experience on LEO/MEO/GEO platforms.
Deep knowledge of spacecraft data‑bus standards: SpaceWire, MIL‑1553, CAN‑A, Ethernet, CCSDS packet telemetry/command and PUS services.
Knowledge in processor, FPGA, firmware and embedded
Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics.
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: New York; Stockholm; San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform.
This is an engineering role focused on automation. You’ll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness.
You’ll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient.
WHAT YOU'LL WORK ON:
Detection Engineering
- Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems
- Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents
- Improve visibility across cloud infrastructure, containers, identity systems, and production services
Incident Response
- Lead or participate in investigations spanning production infrastructure, cloud environments, and internal systems
- Build playbooks and automation that reduce investigation time and improve response consistency
- Drive post-incident improvements that eliminate entire classes of future incidents
Security Tooling & Automation
- Build internal tooling that improves detection, investigation, and response workflows
- Leverage LLMs to automate repetitive analysis, accelerate investigations, and surface actionable insights from security telemetry
- Improve the collection, quality, and usability of security telemetry across the platform
Engineering Partnership
- Partner with engineering teams to ensure new systems are observable and secure by default
- Help teams instrument services with the telemetry needed for effective detection and response
- Drive security improvements that make the platform easier to defend over time
YOU MAY BE A FIT IF:
- You have experience in detection engineering, incident response, security engineering, or software engineering with a strong security focus
- You have strong software engineering skills and experience building production systems.
- You’ve investigated security incidents in cloud-native or distributed environments
- You’re familiar with modern cloud infrastructure, Kubernetes, Linux, and networking
- You’ve built detections using logs, telemetry, behavioral signals, or large-scale event data.
- You have strong SQL skills for investigating security events and developing detections
- You’re interested in applying AI and LLMs to detection, investigation, and response, and in understanding emerging threats involving AI-powered systems
- You have strong written and verbal communication skills
NICE-TO-HAVE:
- Experience building AI- or LLM-powered security tooling
- Experience with SIEM, SOAR, or EDR platforms
- Experience with Kubernetes security or large-scale cloud infrastructure
- Experience with threat hunting, malware analysis, or digital forensics
- Experience contributing to security operations in a high-growth engineering organization
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE TEAM
The Security team ensures that while AI moves at breakneck speed, everyone driving the racecar is wearing a seatbelt. We secure LangChain's core platform and protect AI agents from emerging threats. We work across the stack so developers can confidently ship from prototype to production without compromising on safety or privacy.
ABOUT THE ROLE
You'll be the hands-on detection and response engineer responsible for how we see, stop, and learn from threats across LangChain's production platform, cloud infrastructure, and the services that host and execute agentic workloads. You'll partner closely with Product Security to turn threat models, vulnerabilities, and incidents into telemetry, detections, and durable defenses. Your primary focus is engineering: building detection, investigation, and response systems that scale the Security team's impact beyond what manual operations allow. We are looking for engineers who think like builders, not just operators — strong software skills are a must.
This role participates in an incident on-call rotation, but its core focus is engineering systems that reduce risk, speed up investigations, and make incidents less frequent and less costly.
Location/City: San Francisco or NYC
WHAT YOU'LL DO
- Own the detection lifecycle: Translate threat models, incidents, and attacker behavior into telemetry requirements and detections-as-code. Validate coverage, measure signal quality, tune false positives, and continuously test whether defenses work.
- Build security monitoring and telemetry: Design the telemetry pipeline end-to-end across cloud (GCP/AWS), Kubernetes, and the LangSmith/LangGraph control plane. Instrument services, define the signals that matter, and make security data reliable and useful.
- Engineer investigations and threat hunting: Build tools and workflows for proactive hunting, evidence collection, incident scoping, and containment. Turn investigation findings into new detections and lasting improvements.
- Use agents to scale the team: Build reliable internal AI agents and automation that triage alerts, enrich findings, gather evidence, scope incidents, and accelerate routine security work. Design human-in-the-loop controls and evaluations so automation is safe, observable, and trustworthy.
- Lead incident response and participate in on-call: Triage, scope, contain, and remediate security incidents, then drive postmortems that produce durable engineering changes.
- Partner with Product Security: Turn product threat models and vulnerability findings into production monitoring, and feed real-world detection and incident learnings back into secure design.
WHAT YOU'LL BRING
- 5+ years in security engineering, with meaningful experience in detection engineering, security operations, or incident response — and the software skills to build your way out of repetitive work.
- Strong software engineering in Python or Go (TypeScript a plus). You design maintainable systems and write production code, not just one-off scripts.
- Cloud and Kubernetes detection depth: Experience with GCP or AWS logging, Kubernetes audit and runtime telemetry, workload identity, and turning raw signals into actionable detections.
- Detection and adversary expertise: The ability to model realistic attacker behavior, hunt across complex systems, test detection coverage, and distinguish meaningful signal from noise.
- Hands-on incident response: You've participated in on-call, led incidents, and written postmortems that changed how a team operates.
- Experience building reliable automation or developer-facing systems: You can design APIs and workflows, instrument what you build, evaluate quality, and operate it in production.
- A pragmatic product mindset: You can identify users and requirements, prioritize the highest-leverage problems, define success, and ship iteratively.
NICE TO HAVE
- Experience building or operating AI agents for security workflows such as alert triage, investigation, evidence collection, or human-in-the-loop response.
- Proficiency using AI tooling to accelerate security investigations and engineering work.
- Understanding of AI threats, adversarial testing, and the security boundaries of LLM and agent workloads.
- Exposure to SOC 2 or ISO 27001 monitoring and evidence automation.
- Experience with infrastructure as code such as Terraform or Helm.
- Experience securing both SaaS and self-hosted or air-gapped deployments.
Annual salary range: $185,000- $250,000 USD
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: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
The Observability, Monitoring, and Integrations team manages observability, monitoring, and detection for systems that support customer purchasing and use of GitLab. As a Staff Backend Engineer on the Fulfillment Workflow Monitoring (Catch All) team, you'll set the technical direction for the telemetry, detection, and reconciliation tooling that identifies billing, data, and event anomalies across CustomersDot, Salesforce, and Zuora before they can affect revenue or the customer experience.
This is a greenfield team. You'll help build it from the ground up, shaping its operating rhythm, incident response model, and quality bar. You'll use telemetry and machine learning to identify issues early and help resolve them. Because Monetization changes can directly affect revenue and often involve confidential or financial information, you'll use strong judgment, careful rollout practices, and a high bar for reliability. This role is opening at the Staff Backend Engineer level (grade 8).
What you’ll do
Design, build, and operate observability across the Monetization stack, including metrics, logs, and traces, using tools such as Prometheus and Grafana.
Implement automated detection for billing, data, and event anomalies, and route alerts to the responsible feature teams.
Develop reconciliation and data integrity checks across usage and billing pipelines.
Define and track service level objectives and service level indicators, write runbooks, and take part in incident response to measure and improve Monetization system reliability.
Explore artificial intelligence and machine learning techniques to predict system anomalies and accelerate resolution.
Review and offer feedback on merge requests from other Monetization engineers.
Collaborate with Product, Finance, Support, and other partners to turn operational needs into reliable tooling.
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Professional experience with Ruby on Rails, including building and operating applications such as CustomersDot.
Experience in site reliability or observability engineering, including monitoring, alerting, service level objectives and indicators, runbooks, and incident response.
Experience setting technical direction for observability, reliability, or detection work and bringing other engineers along.
Experience building anomaly detection, monitoring, or risk management tooling.
Familiarity with observability tools such as Prometheus, Grafana, and OpenTelemetry.
Exposure to analytical data stores such as ClickHouse and the change data capture and event-streaming pipelines that feed them, including NATS JetStream.
Experience owning projects from concept through production, communicating clearly about complex technical and organizational problems, and proposing iterative solutions.
Working knowledge of Python for anomaly detection and data work, or experience with billing, financial, or other business-critical systems, including Zuora or Salesforce, is a plus.
About the team
The Observability, Monitoring, and Integrations team is part of GitLab's Monetization section, a highly cross-functional group that partners with Sales, Finance, IT, and Support to deliver secure and reliable purchasing, billing, provisioning, and utilization workflows. The Monetization section includes the Purchase, Subscription Lifecycle, Billing Engine, Platform and Infrastructure, Observability, Monitoring, and Integrations, and Compliance teams.
This role is on the Fulfillment Workflow Monitoring (Catch All) team and reports to the Engineering Manager, Observability, Monitoring, and Integrations. We work asynchronously, plan and reflect regularly, and share responsibility for deployments, incident management, testing, and safe rollouts. We're increasingly focused on how artificial intelligence and machine learning can improve our Monetization infrastructure and provide predictive insights.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
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Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
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. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote USA
Workplace: remote
ABOUT THE OPPORTUNITY
Xsolla is seeking a Head of Fund Operations to stand up and run the operating machinery of the Xsolla Credit Fund. You have taken a private fund from formation through first close before, and you know the full stack: structure and LPA work with counsel, service-provider selection, LP onboarding, capital calls, valuation policy, reporting, and audit readiness.
This is a builder's mandate. You will design the fund's operating playbook, run it, and document it so the fund operates to institutional standards from day one — and mentor the junior operations hires who join as the fund scales.
The role reports directly to Stan Rudoi, Chief Credit Officer and Head of the Xsolla Credit Fund.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
Beyond its core commerce platform, Xsolla is building a private credit fund that lends to video game studios, underwritten with a data advantage no traditional lender has: Xsolla's own payments telemetry across thousands of games. The fund is in its capital formation phase and is led by Stan Rudoi, Chief Credit Officer. This is a ground-floor opportunity to help raise a first-time fund inside a profitable, global gaming-commerce company, alongside the broader Xsolla capital markets ecosystem (Xsolla Funding Club, Xsolla SPAC 1 — Nasdaq: XSLLU, and other strategic vehicles).
For more information, visit xsolla.com.
Responsibilities
Fund Formation and Structuring
Drive fund formation
with external fund counsel: vehicle and jurisdiction selection, LPA and side letters, GP and management company setup, and the regulatory perimeter.
Own the LPA from the operator's seat:
terms, economics, and governance mechanics — and translate them into operational reality once signed.
Service Provider Stack
Select and manage the provider stack:
fund administrator, auditor, tax advisors, banking/custody, and compliance vendors — and manage them to institutional standards.
Own provider economics:
negotiate scopes and fees; keep the fund's operating cost model lean and LP-defensible.
Fund Operations
Run the core machinery:
capital calls and distributions, LP onboarding and KYC/AML, expense management, and cash movement controls.
Own valuation and NAV:
valuation policy, NAV oversight with the administrator, and credit-fund specifics such as borrowing-base mechanics and leverage facility administration.
LP Reporting and Diligence Readiness
Build the reporting stack:
quarterly reporting (ILPA-aligned), capital account statements, and LP communications infrastructure.
Keep the fund diligence-ready:
DDQ responses, operational due-diligence readiness, and the operations sections of the data room — before LPs ask.
Compliance and Governance
Establish the policy framework:
valuation, allocation, conflicts, and ESG/AML policies; regulatory filings with counsel; audit coordination.
Design for scrutiny:
so every process has a documented owner, control, and audit trail that stands up to institutional operational due diligence.
Operating Playbook and Team Building
Codify the fund's operating playbook:
documented processes, controls, and owners for every core workflow — built for operational due diligence from day one.
Scale the function:
as the fund scales, build out and mentor the junior operations team (controller, fund accountants) and integrate with Xsolla's finance and legal teams.
Qualifications and Skills
Experience
7+ years in fund operations, fund CFO, or fund controllership roles at private credit or other private capital funds.
You have taken at least one private fund from formation through first close — this is the core requirement. You know what breaks, in what order, and how to prevent it.
Deep working knowledge of LPA terms, fund administration, capital call mechanics, and ILPA reporting standards.
Credit-fund specifics — leverage facilities, borrowing bases, loan administration, asset-level reporting — are a strong plus.
Skills and Competencies
Hands-on operator: comfortable being the entire operations function on day one, with providers as your leverage.
Rigorous documentation and controls discipline; you build processes that pass operational due diligence, not just processes that work.
Strong commercial judgment on provider selection, fee negotiation, and build-vs-outsource decisions.
Clear communicator who can explain fund mechanics to non-fund people — including investors, borrowers, and Xsolla leadership.
Education and Credentials
A bachelor's degree in finance, accounting, economics, or a related field; CPA, a CFA charter, or an MBA is preferred.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration
For the Head of Underwriting – Credit Fundposition, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Credit history check
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Handling sensitive financial information and supporting fund analytics, financial models, and deal data
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: Remote USA
Workplace: remote
ABOUT THE OPPORTUNITY
Xsolla is seeking a Head of Underwriting to serve as the fund's senior credit authority alongside the Chief Credit Officer. You will design the underwriting framework from a clean sheet, lead the underwriting and structuring of the fund's first facilities, and stand in front of LPs as living proof that the fund underwrites to institutional standards.
This is a builder's mandate. You will codify how this fund underwrites — the credit playbook, standards, templates, and documentation that make the process repeatable and defensible — and, as the team grows, mentor the junior credit hires who operate it.
The role reports directly to Stan Rudoi, Chief Credit Officer and Head of the Xsolla Credit Fund, and sits on the fund's credit committee.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
Beyond its core commerce platform, Xsolla is building a private credit fund that lends to video game studios, underwritten with a data advantage no traditional lender has: Xsolla's own payments telemetry across thousands of games. The fund is in its capital formation phase and is led by Stan Rudoi, Chief Credit Officer. This is a ground-floor opportunity to help raise a first-time fund inside a profitable, global gaming-commerce company, alongside the broader Xsolla capital markets ecosystem (Xsolla Funding Club, Xsolla SPAC 1 — Nasdaq: XSLLU, and other strategic vehicles).
For more information, visit xsolla.com.
Responsibilities
Underwriting Framework and Credit Policy
Design the fund's underwriting framework from scratch:
credit policy, underwriting standards, rating and scoring methodology, credit memo templates, and approval workflows — built for LP diligence from day one.
Build the data edge into the process:
integrate Xsolla's payments telemetry and game-revenue data into underwriting as a durable information advantage.
Deal Underwriting and Structuring
Lead the underwriting
of lending facilities to game studios and gaming businesses: financial analysis, revenue durability, downside cases, and recovery analysis.
Structure facilities:
term loans, revolvers, royalty- and revenue-based structures — including covenants, collateral packages, borrowing bases, and pricing.
Draft
and negotiate term sheets and credit documentation with borrowers alongside external counsel.
Credit Committee and Governance
Stand up and run the credit committee process:
present transactions, document decisions, and maintain an audit trail that stands up to LP and auditor scrutiny.
Establish portfolio monitoring:
watchlist discipline, covenant tracking, and a workout playbook as the portfolio builds.
LP Diligence and Fundraising Support
Be the credit face of the fund:
appear in fund materials and LP meetings as the fund's credit authority; own underwriting answers in LP due diligence.
Support capital formation:
help shape the fund's risk-return narrative, portfolio construction guidelines, and track-record presentation.
Credit Playbook and Team Building
Codify the credit playbook:
standards, templates, and documentation that make the fund's underwriting repeatable and audit-ready.
Build the bench:
as the fund scales, hire and mentor the junior credit team — analysts, associates, and in time a portfolio/risk officer.
Qualifications and Skills
Experience
7+ years in private credit, direct lending, specialty finance, or leveraged finance, with personal responsibility for underwriting and closing institutional credit transactions.
Experience at an early-stage or first-time credit fund — credit policy written from scratch, LPA input, first LP diligence — is strongly preferred. You have seen what a fund needs before it has infrastructure.
Lending against media, IP, royalties, recurring digital revenue, or gaming businesses is a strong plus.
A track record you can walk LPs through: deals underwritten, structures used, and how they performed — including the ones that went wrong and what you did about it.
Skills and Competencies
Deep fluency in credit analysis, financial modeling, covenant design, collateral structures, and credit documentation.
The gravitas to sit across from LPs, investment committees, and founders — and the judgment to say no to a deal.
Enjoys mentoring junior team members and building a strong credit culture as the team grows.
Comfort operating in a lean, fast-moving team where you build the machine you then operate.
Education and Credentials
A bachelor's degree in finance, economics, business, or a related field; an MBA and/or a CFA charter is preferred.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration
For the Head of Underwriting – Credit Fundposition, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Credit history check
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Handling sensitive financial information and supporting fund analytics, financial models, and deal data
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: Remote USA
Workplace: remote
ABOUT THE OPPORTUNITY
Xsolla is seeking a Head of Investor Relations for the Xsolla Credit Fund, whose primary mandate is LP capital raising. While Xsolla's Capital Markets team covers investor relations across all of the company's strategic vehicles, this role is dedicated to the credit fund. Over time the role will also support fundraising for other Xsolla investment products, but the credit fund remains the primary focus.This is a relationship-led role. We are looking for someone who brings an established network of LP relationships — family offices, credit and alternatives allocators, funds of funds, and institutions — and who can open doors, engage principals, and personally steward investors from first conversation through diligence to commitment.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
Beyond its core commerce platform, Xsolla is building a private credit fund that lends to video game studios and gaming businesses, underwritten with a data advantage no traditional lender has: Xsolla's own payments telemetry across thousands of games. The fund is in its capital formation phase and is led by Stan Rudoi, Chief Credit Officer. This is a ground-floor opportunity to help raise a first-time fund inside a profitable, global gaming-commerce company, alongside the broader Xsolla capital markets ecosystem (Xsolla Funding Club, Xsolla SPAC 1 — Nasdaq: XSLLU, and other strategic vehicles).
For more information, visit xsolla.com.
Responsibilities
LP Relationships and Origination
Bring and grow the network:
activate your existing LP relationships and originate new ones across family offices, credit and alternatives allocators, funds of funds, and institutions.
Engage principals:
represent the fund credibly with decision-makers and investment committees, and match opportunities to each investor's mandate and ticket size.
Source and qualify the wider funnel:
from conferences, investor databases, introductions, Xsolla contacts, and external research — qualified and prioritized by mandate fit.
Steward each relationship
through diligence, negotiation, and commitment — and after the close, as the foundation of the fund's long-term LP base.
Follow-Through and Pipeline Discipline
Drive follow-through
from first contact to meeting, diligence, soft interest, and closed commitment — no lead goes stale.
Prepare and send investor outreach and follow-ups;
capture meeting notes, next steps, and commitment tracking after every interaction.
Maintain clean CRM reporting:
pipeline status, activity, outcomes, blockers, priorities, and weekly progress — so leadership always knows conversion rates, stage aging, and next actions per LP.
Provide regular internal fund progress reporting
to Xsolla leadership via Slack and other internal tools. A junior IR hire will take on pipeline operations as the raise scales.
Fundraising Materials and Messaging
Support and continuously improve investor materials:
pitch deck, FAQs, data room, and meeting-specific talking points.
Refine LP messaging, fund thesis, objection handling, and investor segmentation
based on live market feedback.
Write concise, institutional-quality
investor emails, follow-ups, and presentation language.
Diligence and Fund Setup Support
Coordinate LP diligence requests
across internal Xsolla teams, external advisors, legal, finance, and leadership.
Support fund setup workstreams:
data room preparation and upkeep, reporting readiness, and document management.
Collect and synthesize investor feedback
on fund terms, structure, risk-return profile, reporting, and allocation preferences to inform fund design.
Cross-Product Fundraising Support
As capacity allows,
extend the same funnel discipline and materials support to other Xsolla investment products and strategic vehicles, in coordination with the Capital Markets team.
Qualifications and Skills
Experience
7+ years in investor relations, placement, private funds, investment banking, private credit, venture capital, private equity, family office, or institutional fundraising.
An established, referenceable network of LP relationships — family offices, credit and alternatives allocators, funds of funds, or institutions — that you can activate for a first-time fund. This is the core requirement for the role.
A track record of raising institutional capital, with a strong understanding of LP fundraising mechanics: fund materials, diligence processes, investor segmentation, and the private fund lifecycle.
Direct exposure to private credit or first-time fund raises is a strong plus.
Skills and Competencies
Excellent business English; able to write concise investor emails, follow-ups, FAQs, and presentation language without supervision.
Strong Excel / Google Sheets, CRM, tracking, reporting, and project management discipline.
Commercial, structured, responsive, and able to manage many parallel investor conversations without dropping threads.
The gravitas and credibility to engage principals, investment committees, and senior allocators as a peer.
Sound judgment and discretion when handling sensitive fund and investor information.
Interest in gaming, fintech, private credit, alternative investments, or digital platforms preferred.
Education and Credentials
A bachelor's degree in finance, economics, business, or a related field is preferred.
CFA / CAIA or relevant securities licenses are viewed favorably but not required.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration
For the Head of Investor Relations – Credit Fundposition, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Credit history check
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Handling sensitive financial information and supporting fund analytics, financial models, and deal data
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: San Francisco, CA
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
The Corporate Network Engineering team owns Anthropic's corporate network: the wired, wireless, and edge infrastructure in our offices and research facilities around the world, and the standards, management systems, and telemetry that let a small team run them. We hold that network to the bar of a production service — designed for failure, managed as code, observable end-to-end, and secure by default — while delivering reliable connectivity to the people who depend on it every day.
You'll set the technical direction together with your engineers and own the final decision on it and on the architecture standards, review and guide designs and the hard trade-offs, and lead vendor and platform decisions. You'll lead and grow a small team of network engineers: set priorities, drive decisions to closure, hire, and develop people. The team is small and the scope is broad, so this role needs real depth in campus and edge networking, judgment about what to standardize, automate, buy, and build, and the range to go from a wiring-closet decision to a budget defense in the same afternoon.
You'll report to the head of IT Engineering and partner closely with our Buildouts, AV, and Endpoint teams; with Security Engineering on network security, authentication, and detections; with Physical Security, whose systems are critical for protecting Anthropic employees and depend on a reliable network; with Workplace, Real Estate, Procurement, and external logistics and integration partners on new site buildouts; and with our production networking teams, whose bar for reliability and automation is the one we hold ourselves to. Your work will directly shape how we scale to AI Safety Level 4 and beyond.
Responsibilities
Lead and grow the Corporate Network Engineering team — hiring, development, performance, planning, and prioritization
Set technical direction with the team and own the final call on architecture standards across edge, campus switching, wireless, segmentation, out-of-band management, and telemetry; review designs and risky changes, and step in on the hard problems
Own reliability and operations: monitoring people act on, incident response and post-incident reviews that produce changes, an on-call and escalation model a small team can sustain, change safety, and lifecycle currency
Move the fleet toward network-as-code: templated configuration with change control, staged rollouts, drift detection, and automation that removes operational toil
Partner with Security Engineering and Detection & Response on network authentication, segmentation, and the network as a detection source
Deliver networks for new offices and research facilities and upgrade existing sites through live migrations — with Buildouts, AV, Physical Security, Workplace, Real Estate, and our logistics partners — while keeping interruptions to employees minimal
Own vendor, carrier, and integrator relationships and the network hardware budget: evaluations, contracts, lead times, and multi-year refresh
You may be a good fit if you
Have 10+ years designing, building, and operating enterprise campus and edge networks, including at least one environment with dozens of sites across regions
Have 5+ years leading engineers, including at least 3 years as a people manager
Lead through technical judgment: whether or not you've been hands-on-keyboard lately, you can go from architecture to protocol behavior to failure modes with your engineers, and your reviews make their designs better
Default to the secure design, then do the creative work to make it painless for the people using it — and can walk an executive or an engineer through the trade-off and make a recommendation
Have run the operational side, not just designed it: out-of-band access, monitoring people act on, an on-call model a small team can sustain, and change safety
Are pragmatic about what to build, buy, or automate, have run vendor evaluations with real money at stake, and chase problems across organizational boundaries to the actual root cause
Communicate clearly with engineers, executives, contractors, and landlords, and can bring a room of senior engineers with strong opinions to a decision they'll commit to
Want real technical ownership with a small team — including if you've led a larger organization before — and care about building infrastructure for an organization trying to get AI right
Strong candidates may also
Have led corporate networking at a company that added offices faster than it added network engineers
Have implemented certificate-based network authentication (802.1X/EAP-TLS or equivalent) and identity- or device-based segmentation at scale
Have shipped network configuration as code and built telemetry pipelines that security and support teams actually use
Have designed dense wireless for large event spaces and high-occupancy floors
Have been through multiple office builds with real estate and construction teams — including networks that physical security systems depend on — and know what to ask for before the walls close
Have managed integrators, MSPs, or smart-hands providers as an extension of a small team while keeping design authority in-house
Technical Skills
We're looking for deep, hands-on experience in each of these — not surface familiarity:
Enterprise edge: firewalls and routing (HA design, routing protocols, policy management across a fleet)
Campus switching and high-density enterprise wireless (L2/L3 design, redundancy, RF design, 6 GHz, high-density venues)
Segmentation and access control (certificate-based 802.1X, dynamic segmentation, guest and IoT isolation)
Out-of-band management and secure, auditable administrative access
Network automation and configuration as code (Python, templating, vendor APIs, source control, CI)
Network observability (streaming telemetry, flow and log pipelines)
Physical infrastructure for buildouts (MDF/IDF design, structured cabling, power and cooling, carrier and path diversity)
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:
$285,000
—
$325,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Remote USA
Workplace: remote
ABOUT YOU
We are looking for a Head of Fund Analytics & Automation who is a hands-on builder, rigorous with data, and fluent in finance conversations to join our Credit Fund team in the office of the Chief Credit Officer. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design, build, and operate the fund's entire data and automation stack end to end — and then own it as the fund goes live.
The credit fund is being built with a deliberately small team. Instead of hiring several analysts and operations staff, we want one senior technical hire who can do both: engineer the platform and sit across the table from investors and borrowers. Underwriting here is built on real payment telemetry — including Xsolla transaction data — and that data edge is the foundation of this role.
Strong SQL, Python, and production automation skills are essential, along with real experience in portfolio analytics, market risk, or credit. The ability to ship audit-grade systems and then defend the numbers in front of LPs and borrowers will be key to your success in this role. The role starts as a builder and becomes the owner-operator of the platform, with a growing seat in underwriting decisions and, as the platform and deal volume grow, scope to hire and lead a small team.
If you're passionate about applying AI-governed automation to private credit and love building the systems that let a lean team punch far above its weight, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
First 6 months — priorities in order
- Deal pipeline live: origination intake through credit committee, with the full audit trail. - Scoring data layer: borrower financials and payment telemetry ingested, stored, and under documented data contracts. - LP / fundraising pipeline instrumented, and first investor reporting shipped.
Explicitly out of scope: legal documentation, fund administration, and accounting — these sit with external providers.
Phase 1: Build (through first close)
Deal pipeline management
- Design and run the full deal workflow: origination intake, screening, scoring, credit committee, closing.
- Implement it as governed automation (workflow orchestration such as n8n or similar, with LLM-assisted steps where they add value): every automated output validated against a defined schema, low-confidence results routed to human review, and a complete audit trail suitable for LP due diligence.
Scoring and underwriting data layer
- Build the ingestion and storage layer for borrower financials and payments telemetry (including Xsolla transaction data) — PostgreSQL or equivalent, ETL pipelines, materialized views, documented data contracts.
- Develop credit scoring and forecasting models in Python, with proper train/test discipline, leakage and PII exclusion, and ongoing monitoring for drift and degradation.
- Maintain evaluation and regression checks so model and automation quality is measured continuously, not assumed.
Fundraising / LP pipeline
- Build and operate the investor pipeline: CRM automation, conference and referral pipeline tracking, follow-up orchestration, and data room preparation and upkeep.
- Instrument the pipeline so we always know conversion rates, stage aging, and next actions per LP.
Investor and borrower dashboards
- Ship reporting for both audiences: fund-level metrics for investors, facility-level metrics for borrowers.
- Numbers must reconcile to source systems and be reproducible outside the BI tool — audit-grade, not demo-grade. Tableau / Power BI or a lightweight web dashboard, whichever fits.
Reliability, cost, and security of the stack
- Budget caps and cost monitoring on all AI-assisted automation; regression canaries before changes ship.
- Access control and data protection appropriate for fund data: deny-by-default permissions, audit logs, strict handling of LP identities, borrower financials, and deal terms.
- Documented runbooks and handover-ready documentation as part of "done" — the stack must be operable by someone other than its author.
Phase 2: Operate (post-close)
- Move into an operating role on the underwriting side: portfolio monitoring, covenant and collateral tracking, scenario and stress analysis.
- Extend the platform to other investment types and support the capital formation team with the same pipeline and reporting infrastructure.
Client and investor facing
This is not a back-office role. The person will join investor and borrower meetings, present the dashboards and the numbers behind them, and field diligence questions directly. Fluency in finance conversations is as important as engineering. The person will also respond to LP operational due diligence questionnaires on the data and automation stack.
Qualifications and Skills
Required
- 7+ years across data analytics / data engineering, including recent hands-on experience building and running production automation (not prototypes or notebooks).
- Proven production experience with LLM-based automation: schema-validated outputs, human review gates, evaluation and regression testing, cost-tiered model routing.
- Strong SQL and Python; ownership of a PostgreSQL (or similar) data platform end to end — ETL, materialized views, performance tuning, data contracts.
- Workflow orchestration experience (n8n, Airflow, or comparable).
- BI and dashboarding: Tableau, Power BI, Qlik, or equivalent web dashboards; a track record of reporting that executives actually used for decisions.
- Security discipline for sensitive data: role-based access, deny-by-default policies, audit trails, PII handling.
- Finance background: degree in finance or quantitative field plus real experience in portfolio analytics, market risk, or credit — able to hold their own in an underwriting or investor conversation.
- Strong written and spoken English; comfortable presenting to senior external audiences.
Preferred
- Direct exposure to private credit, lending, or fund operations.
- Forecasting and statistical modeling track record (capacity planning, SLA/risk forecasting, or similar).
- Experience with embeddings / semantic search and multi-model AI setups.
- Web development ability (React / TypeScript or similar) for internal tools and dashboards.
- Experience in audited or regulated environments (SOC 2, fund audits, or equivalent).
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration
For the Head of Fund Analytics & Automation — Credit Fund position, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Credit history check
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Handling sensitive financial information and supporting fund analytics, financial models, and deal data
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.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 consulting and systems integration partners now sell and deliver Claude work at growing volume, and selling alongside partners is working. What matters next is delivery: whether the partner completes the work, whether the customer's Claude usage grows and holds, and whether the outcome is good enough that the customer asks for that partner again.
The Partner Success Lead owns that outcome. You will hold a book of in-flight customer engagements across a set of managed partners in North America. From the day our Partner Delivery program matches a customer engagement to a partner in your book, you own it to a completed outcome: the work finishes on scope, the customer's Claude usage grows, and a stalled engagement gets diagnosed and unblocked before the customer disengages. You wake up every day on one question: what is each partner in my book doing, and is the work getting done.
Key responsibilities:
Own every customer engagement in your book from partner match to completed outcome. Know the state of each one every week: scope, timeline, blockers, and the customer's Claude usage trend.
Run the weekly delivery review across your book, and bring stalled or at-risk engagements to the weekly at-risk account review with a diagnosis, an owner, and a specific ask rather than a status list.
Unblocking. Partner capacity, scope creep, customer readiness, product questions, deal-registration conflicts, and customer dissatisfaction with partner work: get each issue to the right internal team and stay on it through resolution.
Own delivery quality and consumption across your book. Track engagements completed on time, time from match to completion, delivered consumption and weekly active use on the customer accounts your partners serve, and the accounts trending toward at-risk.
Build senior relationships with each managed partner's practice and delivery leadership. Together with the Partner Account Manager and other Anthropic counterparts, establish the executive-level trust that lets you ask a partner to restaff, escalate, or invest — and be taken seriously — when an engagement needs it.
Build each partner's Claude practice as the compounding work: certified bench depth, one repeatable offering in a chosen industry lane, and a published customer story from each completed engagement, so the next engagement needs less from you.
Turn what works into methodology. Convert the moves you prove in your book into named, reusable best practices — engagement review packs, unblocking plays, practice-building guides — written clearly enough to be shared at scale across partners, the Partner Success team, and the contract delivery team running the same loop.
Run the quarterly practice review with each managed partner's alliance and delivery leads: joint goals on completed customer engagements, customer adoption, certified practitioners, references, and industry positioning.
Present and persuade across audiences. Deliver partner executive briefings, practitioner enablement sessions, and internal reviews with equal command — this role is regularly the voice of Partner Success in front of a partner's leadership, a delivery team, a customer, or Anthropic's own leadership.
Steward funding requests from partners in your book. Recommend for or against co-investment and program funding requests against a stated outcome, and reconcile against milestones. The bar is outcomes, not consultant hours.
Work the handoffs cleanly: from Partner Sales when a partner deal closes, and from the Partner Delivery program when an engagement is matched to a partner in your book. Coordinate with the Partner Account Manager on any strategic partner that has one, with Customer Success Managers on customer-side account health, and with Anthropic's direct sales field on joint accounts.
Instrument your book and know its numbers: engagements in flight and completed, stall rate and days to unblock, delivered consumption per partner, certified practitioner counts, and partner health trajectory.
Run your book Claude-first. Telemetry drafts the diagnosis; you validate it and act. Claude drafts your review packs, status notes, and escalation briefs; you own the judgment, the exceptions, and the unblocking. Feed what you see in the field back into the packages, playbooks, tier rules, and health rubric the team runs on.
Minimum qualifications:
Experience owning a high-volume book of concurrent customer engagements, projects, or accounts (roughly 10 to 30 at a time) to completed outcomes, in a partner success, customer success, delivery management, or technical account management role.
Ability and appetite to build structure, clarity, and programmatic motions out of in-flight work, while delivering engagement by engagement. You have written something down — a review format, a checklist, a play — that others ran without you, and you want to do more of that; growing that into the operating playbook a wider team runs is the senior end of this role, not the entry bar. This role scales by what you write down, not by added hours.
Track record of a number tied to completed work and customer behavior (on-time delivery, adoption, retention, consumption, expansion) rather than contract signature, and an operating rhythm you built to hit it.
Judgment on delivery quality: you can review a partner's engagement plan or scope and tell whether it will finish on time and produce usage, and you ask the follow-up question that surfaces the real risk.
Escalation and unblocking judgment across a matrix (partner, customer, direct sales, customer success, product): you know which stall belongs to whom, you get help fast, and you stay engaged to resolution.
A convincing speaker and presenter to all kinds of audiences: partner executives, delivery practitioners, customers, and internal leadership. You can carry a quarterly practice review, an enablement session, and an executive escalation in the same week and land each one.
Deep understanding of how customer success works in a usage-based business; you have held a number tied to customer behavior and can read a consumption trend and act on it.
Enough technical fluency to be credible in a delivery review. You do not need to write code, but you can follow a partner architect's walkthrough of a real Claude engagement and ask the substantive second question.
Active daily use of Claude or another large language model as part of how you work: preparing reviews, drafting account plans, and analyzing your book. We will ask you to walk us through a recent deliverable.
Preferred qualifications:
5 to 8 years working with consulting and systems integration partners, or in delivery-facing customer success at a software company, cloud platform, or partner-led business.
Direct experience with systems integrators (global firms such as Accenture, Deloitte, Capgemini, Infosys, TCS, or Wipro, or regional and boutique firms) and an understanding of how their delivery practices are staffed and run.
Experience running at-risk or red account reviews and turning stalled work around.
Experience anchoring a surge team: setting the playbook and the review pack that a group of contract or offshore delivery coordinators ran, and holding the quality bar across them.
Depth in a specific industry vertical (financial services, healthcare, public sector, retail, or manufacturing) where you have carried a book of partners or customers.
Experience stewarding co-investment funding or market development funding against specific outcomes, with formed opinions about what works and what does not.
Experience running quarterly business reviews with consulting firm practice leads, and a sense of what makes them productive rather than ceremonial.
Experience on a new team where the operating model was being written while you ran the book, and you shipped both.
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:
$215,000
—
$300,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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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.
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Canada (Remote); We are looking for candidates in Canadian time zones
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