Location: Vancouver, Canada; Houston, United States
Role:
As part of the System Engineering Department, the Flight Operations Engineer will participate, and coordinate the work needed for the definition, development and execution of the constellation operations, and the preparations, implementation, testing and verification of the operations procedures.
Tasks:
The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate.
Trade-off studies regarding the design, develop and testing of the satellite/constellation operations procedures.
Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings.
Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings.
Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission.
Support In-Orbit Test (IOT), anomaly resolution + FDIR.
Support the Satellite Simulator Operation and script development.
Must haves:
Bachelor’s degree in engineering in a relevant field
At least 7 years of experience
Previous experience with
LEO/MEO SatOps
.
Experience with
automated satellite operations and IOT
Experience in
concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts.
Knowledge in
Python
or other scripting languages
Complementary skills/knowledge:
AG1's Systems Tool Kit (STK)
Requirements Management tools such as DOORS/Windchill/Jama
Previous experience in Constellation Operations
The design, development and testing of new automated operations flows and scripts.
Experience creating or using models and/or simulation software.
Demonstrated capability to efficiently work with little to no supervision
Strong written and verbal communications skills in English, knowledge of French will be considered favorably
Location: Toulouse, France; United States; United Kingdom
The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized.
Tasks summary:
Architecture Concept & Requirements
• Establish functional, performance, environmental and security requirements with mission
stakeholders & CONOPs.
• Translate requirements into clear payload performance parameters and maintain bidirectional
traceability throughout the project lifecycle.
• Establish with cybersecurity team payload‑specific requirements & embed resilience and
security by design.
Payload Architecture Definition
• Define the overall digital regenerative payload architecture (optical/RF ISLs, antenna arrays,
digitizers/ onboard processing, Feeder links, master reference oscillator & clock
synchronizations).
• Define Interface Control Documents (ICDs) with spacecraft bus, ground segment and payload
specific subsystems.
• Define high‑speed data‑bus I/F (Serdes, SpaceWire, SpaceFibre, Ethernet, CAN, fiber).
Trade‑Study & Technology Road‑Mapping
• Lead trade‑offs for technologies, ASIC/FPGAs/SoCs, high‑speed data‑bus, and on‑board
processing algorithms, PVT.
• Identify emerging technologies and incorporate them into the company’s long‑term roadmap.
System Modeling & Performance Simulation
• Build end‑to‑end models of the signal chain (optical/RF, analog/digital) using
MATLAB/Simulink, SystemView or Python‑based toolkits.
• Run Monte‑Carlo and tolerance analyses to verify gain, SNR, dynamic range, spectral
efficiency, G/T, EIRP and other key metrics.
• Optimize payload design and performance with operation with traffic models/CONOPs.
Simulation & Analysis
• Oversee performance simulations & analysis (Gain, Spurious, Linearity, SNR, dynamic range,
spectral efficiency, pointing, G/T, EIRP…etc.) and tolerance budgeting.
• Optimize Payload DC power budget with traffic & utilization models.
Hardware & Firmware
• Own system‑level specifications to hardware designers, review schematics, layouts, thermal &
mechanical interfaces.
• Oversee MODCODs selection and on‑board processing pipelines; define BIST, timing, latency
and deterministic behavior.
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior
management and/or customers or partners.
• Act as the primary technical liaison with Electrical, Power, Structures, Thermal, Software,
Ground Segment and Mission Operations teams to resolve integration issues early.
• Support payload design authority in System design reviews and Mission Operations
hand‑over.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Author Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test,
environmental and electromagnetic compatibility (EMC) test campaigns.
• Define test‑automation framework set‑up, test‑case definition, results analysis and test‑report
certification.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
• Contribute to the company’s knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
• Ensure all artefacts, analysis, software, deliverables and documentation are version controlled
in PLM environment.
• Chair design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
On Orbit & Operations Support
• Technical support to Mission Operations for routine payload health monitoring, contingency
handling and performance trending.
• Lead root‑cause investigations for on‑orbit anomalies; update design baselines and
lessons‑learned.
• Analyze on‑orbit telemetry, update filter parameters, and generate performance reports.
• Define SOOH and associated operator training.
Required Qualifications:
B.Sc. in Electrical Engineering, Aerospace or Physics (M.Sc. preferred) with 12 + years of digital
regenerative payload system design experience on LEO/MEO missions.
Comprehensive knowledge of digital regenerative communications, SDR, DSP, DVB RCS/SX
protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G, NTN.
Strong technical writing ability (requirements, ICDs, test procedures, risk reports) and
presentation skills; comfortable interfacing with customers, suppliers and senior leadership.
Strong understanding of aerospace system engineering fundamentals.
Hands-on individual who can support systems integration processes and capability to test
systems and resolve problems.
Experience with Confluence and JIRA.
Demonstrated capability to efficiently work with little supervision.
Ability to distill complex problems to fundamentals to solve with analysis, similarity, or
creativity.
Demonstrate excellent written and oral communication skills in English; knowledge of French
will be considered an asset (Contact with clients outside Quebec and work on deliverables in
English).
Противоречивые условия: [ Fastwater Staffing ] Digital Payload Architect | Relocate to Montreal, Canada (Full Relocation Package); The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal; Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized
Location: New York, NY
Workplace: OnSite
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
ABOUT THE ROLE
Rain is hiring a Senior Product Data Analyst to be the analytical engine behind our product team. Payments and stablecoin infrastructure generate enormous, rich, and consequential datasets — authorization patterns, ledger movements, partner usage, cardholder behavior — and the decisions we make on top of that data shape the experience for our partners and millions of their end users.
This is a senior individual contributor role embedded directly with product. You'll partner with PMs, engineers, and partnerships leads to turn raw data into the sharpest possible product judgment: defining metrics, designing experiments, sizing opportunities, and pulling on the threads that reveal where the product is working and where it isn't. You'll set the analytical bar for the company and own the questions that matter most.
WHAT YOU'LL DO
• Partner with product leadership as the embedded analyst across cards, payments, and platform — defining the metrics, building the dashboards, and answering the questions that drive roadmap decisions
• Design and analyze experiments end to end — hypothesis, sizing, instrumentation, readout, and the prioritization decisions that follow
• Run deep-dive analyses on partner usage, activation, retention, and economics, and translate them into sharp, opinionated recommendations
• Own the metrics framework for product — what we measure, how we measure it, and what "good" looks like across each surface
• Build self-serve analytics, dashboards, and tooling that let the rest of the company answer their own questions, and raise the bar for data literacy across product
• Partner with data engineering on the underlying data model — how events, ledger entries, authorizations, and partner data should be shaped to support fast, trustworthy analysis
• Surface insights proactively — find the things no one thought to ask and bring them to the team with a clear point of view
WHAT WE'RE LOOKING FOR
• 5–8 years of analytics experience, with a track record of operating as the analytical partner to product teams shipping consumer or platform products at a product-led company with a strong engineering culture and high bar for quality
• Exceptional analytical rigor and product judgment — you're someone others describe as one of the sharpest analysts they've worked with, and you consistently raise the bar for the people around you
• A senior, autonomous operator who can scope the question, design the analysis, and own the recommendation without needing close direction
• Expert SQL and strong working fluency with at least one analytics scripting language (Python or R), modern data warehouses (Snowflake, BigQuery, Redshift, or similar), and BI/visualization tools (Lightdash preferred)
• Strong technical fluency — you can read product code, understand event schemas, and pull on technical threads yourself rather than defer to engineering
• Genuinely excited to live in the details — you believe correct, trustworthy data is won in the specifics and are energized by the work to get them right
• Excellent written and verbal communication; you can translate a complex analysis into a clear, opinionated recommendation that ships decisions
• Proven ability to design and run experiments, measure adoption, and iterate quickly in a fast-moving environment
NICE TO HAVE, BUT NOT MANDATORY
• Experience analyzing payments, card issuing, or cross-border fintech products
• Exposure to stablecoins, crypto, or on-chain data
• Previous startup or hypergrowth environment experience
• Experience standing up an analytics function from early days
ROLE DETAILS
• Individual contributor role (no direct reports)
• Hybrid schedule based in our New York City office
Things that enable a fulfilling, healthy, and happy experience at Rain:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research.
Key responsibilities
Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair
Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families
Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity
Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others
Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy
Establish and evolve operational excellence practices (incident response, postmortem culture, on-call)
Support the growth of engineers around you through technical mentorship and coaching
Minimum qualifications
Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)
Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems
Ability to build alignment across senior stakeholders and communicate effectively at all levels
Preferred qualifications
10+ years of software engineering experience, including time as a technical lead setting direction for a team
Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency
Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines
Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons
Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads.
Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems
Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.)
Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
Our Trading Product Group leads the design of all the products on OKX's derivatives trading exchange, including spot trading, spot margin, futures, leveraged tokens, trading options etc.
What You’ll Be Doing
AI Agent Review & Escalation -
Review AI agent outputs across risk monitoring workflows — assess findings for accuracy, identify false positives, and escalate risk events through the appropriate channels with clear, well-documented rationale.
Risk Patrol Operation -
Operate AI-assisted investigation workflows covering key risk metrics. Verify agent reasoning, identify analytical gaps, and ensure the quality output of investigations.
Market Abuse
Investigation
- Review AI-surfaced signals related to suspected market abuse, assess the validity, and escalate to the appropriate team with a structured findings report.
SOP Development & Agent Skill Authorship
- Translate frontline risk experience into structured SOPs and agent skill sets. Identify blind spots in current detection logic, document edge cases, and collaborate with the Product team to continuously improve automated coverage.
Risk System Quality Review
- Conduct regular reviews of agent performance — assessing output quality, surfacing systematic errors, and proposing refinements. Serve as a quality gate between automated risk outputs and business-level decisions.
Cross-Functional Risk Coordination
- Communicate escalated risk findings clearly to Product, Compliance, Legal, and Operations teams. Ensure AI-generated intelligence is accurately interpreted and translated into actionable, well-documented recommendations.
What We Look For In You
3+ years in trading risk, ideally at a crypto exchange or derivatives venue.
Deep knowledge of attack vectors: pump-and-dump, wash trading, liquidation suicide attacks, Sybil patterns, flash crashes.
Strong data intuition — Able to QA AI-generated analysis, spot anomalies in outputs, and challenge agent conclusions.
Comfort operating in an AI-augmented workflow: prompting agents, reading structured outputs, making final calls under time pressure.
Excellent judgment in ambiguous, high-pressure situations — You decide, the agent advises.
Cross-functional collaboration skills; able to work with PMs, engineers, and compliance.
Nice-To-Haves
Hands-on experience with LLM-based tools, SQL, or Python — Enough to validate AI-generated queries.
Personal trading experience or financial risk certification (FRM/CFA).
Mandarin proficiency for collaboration with technical teams.
Experience writing or refining risk SOPs or runbooks.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
Our Trading Product Group leads the design of all the products on OKX's derivatives trading exchange, including spot trading, spot margin, futures, leveraged tokens, trading options etc.
What You’ll Be Doing
AI Agent Review & Escalation -
Review AI agent outputs across risk monitoring workflows — assess findings for accuracy, identify false positives, and escalate risk events through the appropriate channels with clear, well-documented rationale.
Risk Patrol Operation -
Operate AI-assisted investigation workflows covering key risk metrics. Verify agent reasoning, identify analytical gaps, and ensure the quality output of investigations.
Market Abuse
Investigation
- Review AI-surfaced signals related to suspected market abuse, assess the validity, and escalate to the appropriate team with a structured findings report.
SOP Development & Agent Skill Authorship
- Translate frontline risk experience into structured SOPs and agent skill sets. Identify blind spots in current detection logic, document edge cases, and collaborate with the Product team to continuously improve automated coverage.
Risk System Quality Review
- Conduct regular reviews of agent performance — assessing output quality, surfacing systematic errors, and proposing refinements. Serve as a quality gate between automated risk outputs and business-level decisions.
Cross-Functional Risk Coordination
- Communicate escalated risk findings clearly to Product, Compliance, Legal, and Operations teams. Ensure AI-generated intelligence is accurately interpreted and translated into actionable, well-documented recommendations.
What We Look For In You
3+ years in trading risk, ideally at a crypto exchange or derivatives venue.
Deep knowledge of attack vectors: pump-and-dump, wash trading, liquidation suicide attacks, Sybil patterns, flash crashes.
Strong data intuition — Able to QA AI-generated analysis, spot anomalies in outputs, and challenge agent conclusions.
Comfort operating in an AI-augmented workflow: prompting agents, reading structured outputs, making final calls under time pressure.
Excellent judgment in ambiguous, high-pressure situations — You decide, the agent advises.
Cross-functional collaboration skills; able to work with PMs, engineers, and compliance.
Nice-To-Haves
Hands-on experience with LLM-based tools, SQL, or Python — Enough to validate AI-generated queries.
Personal trading experience or financial risk certification (FRM/CFA).
Mandarin proficiency for collaboration with technical teams.
Experience writing or refining risk SOPs or runbooks.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Limassol Cyprus
Workplace: OnSite
Scorewarrior is a game developer and publisher based in Limassol, Cyprus. The company focuses on the 4X strategy genre, with an ambitious goal to grow its hit game, Total Battle, to become the No.1 strategy game in the world. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games.
Our product: We are currently working on Total Battle — an MMO 4X strategy game with a deep political system and lots of player interaction. Players take on the role of a commander and need to develop their city, forge alliances, fight against monsters, and conquer other players. We're constantly developing new game mechanics, and the project is continuing to grow.
Our game project has a code base of ~300k SLOC and consists of multiple services running in several hundred instances. The game services are a sharded system for horizontal scaling.
Our team is looking for both Middle and Senior specialists with confident knowledge of C++ and design principles to work on creating new game features for a large-scale multiplayer project with long-term gameplay.
Our team's objective and the challenge they face is to create an outstanding technical design that ensures quality, flexibility, and simplicity in the development of in-game features.
Tasks:
- Design and implement solutions for new game mechanics — based on documentation from game designers, create a technical design and implement it.
- Prepare RFC documents describing your approach and discuss them with the team before implementation.
- Deliver your solution to production and ensure it runs smoothly by monitoring its behavior after deployment.
- Refactor and optimize existing functionality to improve performance, maintainability, and scalability.
- Perform code reviews for other team members and follow team coding guidelines and best practices.
- Create functional prototypes to validate ideas and mechanics when necessary.
- Write and maintain technical documentation for implemented features and decisions.
- Participate in team meetings and discussions to stay aligned on priorities and progress.
Requirements:
- Strong communication skills and initiative.
- 3+ years of experience developing in C++ in a product-oriented company
- At least 2 years of backend development experience (not necessarily in C++)
- Solid knowledge of software design principles and ability to apply them in practice.
- Ability to analyze and decompose complex tasks into smaller, manageable steps.
- Practical experience with network and multithreaded programming
- Practical experience with relational databases
- Proficiency in Linux environments for development and debugging.
- Knowledge or willingness to learn Python for developing tools and automation.
The following would also be to your advantage:
- Having samples of code that you can show us.
- Knowledge of other high-level programming languages (for general awareness).
- Practical experience applying Domain-Driven Design in real-world projects
- Hands-on experience building applications using Akka.NET http://Akka.NET, Microsoft Orleans, or similar actor-based frameworks
We use:
- C++20, Clang, and CMake.
- Boost — only for the library, not for game code.
- PostgreSQL.
- GitLab, TeamCity, Ansible.
- SonarQube, Clang-Tidy, Clang-Format.
- Onboarding, coding conventions.
- Python for utilities.
- Linux.
Our technical developments:
- A library/framework of ready-made solutions for creating game features.
- ORM — allows us not to have to write code for saving to the DB.
- A code generator for a binary RPC protocol and ORM.
- A pub/sub event system for game clients.
- Telemetry that allows for real-time product status tracking (through Grafana).
- An expression interpreter for flexibility in game configuration.
- HotReload environment, with everyday game updates.
- Sync and Async network designs.
- Internal Event System.
- Internal persistent and transactional message system.
- R-tree based world map.
What we offer and our benefits:
- A team of professionals with a passion for gamedev and a drive to make Total Battle the #1 strategy MMO game.
- An excellent remuneration package, including a 13th salary.
- Full relocation coverage for you and your family to Cyprus (Limassol).
- A modern, sunny office close to the sea.
- Private health insurance for you and your family members.
- A monthly pre-school, school, and university allowance for employees' children.
- Lunch compensation.
- A sports and fitness allowance.
- Company-funded personal development opportunities (professional and language courses, books, etc.).
- Bonuses for outstanding results, years of service, marriage, and childbirth.
- Friendly monthly office parties and epic annual offsite company birthday and Christmas celebrations.
Задачи:
— Улучшать стабильность и качество текущих AutoML алгоритмов, оптимизировать код;
— Разрабатывать новые сценарии платформы для аналитиков (поиск аномалий, очистка данных, кластеризация, анализ дрейфа данных/концепта);
— Улучшать отчетность и артефакты по полученной модели (отчёт по модели с интерпретацией LLM, графики, таблицы);
— Обновлять документацию и технические инструкции по сценариям платформы;
— Взаимодействовать по внедрению новых сценариев и фич платформы с MLOps командой;
— Проводить анализ потребностей аналитиков, формализовать их в сценарии;
— Поддерживать пользователей (аналитиков);
— Отвечать за релизный цикл библиотеки;
— Проводить ревью PR от других DS.
Требования:
— Опыт в Data Science от 3 до 5 лет (важна насмотренность к кейсам и разным моделям, опыт промышленной разработки);
— Уверенное владение ML- и DL-стеком Python: PyTorch, LightGBM / XGBoost / CatBoost, Scikit-Learn, Pandas, NumPy;
— Умение работать с инструментами: Spark, Hadoop, Hive, MLflow, Airflow / Argo Workflows;
— Обязателен опыт в табличных данных и классическом ML (градиентный бустинг, логистическая регрессия, кластеризация);
— Будет большим плюсом: Контрибьют в ML-библиотеки; Опыт full-stack разработки;
— Не подходят кандидаты с чистой карьерой в CV / NLP / LLM без серьёзного бэкграунда в таблицах.
Условия:
— Работа в аккредитованной IT компании;
— Формат работы: удалённый по РФ (или гибрид — на выбор);
— Расширенный ДМС (со стоматологией);
— Выдача необходимой для работы техники (ноутбук);
— Возможность воспользоваться реферальной программой: «Приведи товарища»;
— Участие в Бонусной программе;
— Помощь с ипотекой и другими пособиями;
— Возможность построить карьеру в рамках ведущих компаний России.
Location: Espoo
Workplace: Hybrid
Role highlights:
- Smart Manufacturing Engineer, SW & Electronics
- Location: Espoo, Finland
- Department: Global Manufacturing Organization
- Reports to: Smart Manufacturing, Team Leader
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Smart Manufacturing Engineer, SW & Electronics, you will help ensure our satellites can be tested reliably and efficiently before they are launched to space. You will design and own Electrical Ground Support Equipment (EGSE) and satellite‑level test systems that combine electronics, embedded software and automation. Your work will directly support AIT and Production teams, keeping critical test setups running while building the next generation of EGSEs to scale ICEYE’s manufacturing.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
Your day-to-day responsibilities
- Support AIT and Production teams in running and troubleshooting RF, electronics and satellite‑level test setups, especially in your first months.
- Design, develop and maintain EGSE systems that combine electronics, embedded software and Python-based test automation.
- Capture requirements and define architectures for new test systems together with AIT Engineering, Production and other Engineering teams.
- Implement and debug embedded C/C++ code on ARM‑based MCUs (e.g. STM32, TI), including bring‑up, interface control and communication with instruments.
- Design or adapt electronics for EGSE (schematics, interfaces, power, measurement paths) and work with mechanical engineers on the overall solution.
- Use Python and tools like PyVISA to automate instruments, collect data and improve test workflows.
- Write clear, maintainable documentation and user guides so others can operate and maintain the systems you build.
- Contribute to improving existing legacy test setups, increasing reliability, repeatability and ease of use.
- Collaborate closely with other Smart Manufacturing engineers (mechanical, electronics, software) and share knowledge within the team.
What we’re looking for
Must haves:
- 5+ years of experience in electronics / embedded systems / test development, ideally in complex or high‑reliability products.
- Hands‑on experience with ARM‑based MCUs (e.g. STM32 or TI), including embedded C/C++ development and debugging.
- Practical experience designing or modifying electronics for test or control (schematics, interfaces, power, signal integrity basics).
- Strong Python skills for test automation, scripting and instrument control (e.g. PyVISA or similar).
- Familiarity with Altium Designer (or similar) for PCB design
- Comfortable using common lab and RF test equipment such as oscilloscopes, PSUs, multimeters, power loads, VNAs and spectrum analyzers.
- Ability to work onsite in Espoo in labs and production areas, including hands‑on support when issues arise.
- Strong communication and documentation skills, and a collaborative mindset
- Experience with satellite or spacecraft EGSE, nanosatellites or other space/aerospace test systems.
Nice to haves:
- Exposure to RF test setups (antennas, payloads, RF front‑ends) beyond the basic use of the instruments.
- Experience in automation, robotics or similar domains where HW+FW+SW test systems are common.
- Familiarity with KiCad, STM32CubeIDE, GCC/GDB or similar toolchains.
- Experience developing and standardizing test setups, including documentation and process improvements.
Application Process
- TA screen
- Hiring manager interview
- Technical interview + take‑home task
- Final onsite interviews
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: San Francisco, CA | 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 production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. Decisions in production training depend on knowing how the model is really behaving. Our team's mission is to have the best observability into production post-training runs at Anthropic: to be the clearest, most trusted view of model quality during training. We shape what gets measured, keep the signal trustworthy and timely, and get to the bottom of surprising results to inform post-training and release decisions.
In this role you will lead the science of how we evaluate production training runs. You'll work out which measurements tell us something real about the model, notice when they stop doing so, and find what we should be measuring but aren't. You'll partner with research teams across every RL domain, bringing their priorities into what we measure and setting the standard for what makes an eval trustworthy across post-training. You'll also be hands-on with the eval fleet day to day, because the best questions about measurement come from watching real results come in during a live run.
Responsibilities
Steer the eval strategy for production Claude models: study and optimize the eval mix so it gives the most accurate and complete assessment of model quality
Run and monitor the eval fleet live to understand how each Claude model is developing as it trains
Advise teams across post-training on eval methodology, and help eval authors bring new evals up to the bar for production
Investigate regressions in production runs and inform training interventions when appropriate
Build the dashboards, alerts, and reports that researchers and leadership use to track model quality
You may be a good fit if you
Have designed, run, and analyzed evaluations for ML models at scale
Care deeply about measurement quality, thinking twice before trusting a number
Can turn ambiguous results into clear recommendations, and are comfortable influencing direction across teams
Have strong Python skills and are comfortable working with production systems
Maintain clarity and rigor when debugging complex, time-sensitive issues
Thrive in controlled chaos and are energized, rather than overwhelmed, when juggling multiple urgent priorities during a live training run
Care about the societal impacts of your work and about shipping frontier models responsibly
Strong candidates may also have
Hands-on experience post-training large language models
Research experience in ML evaluation or benchmarking
Background in statistics and experimental design
Experience developing robust evaluation metrics for ML systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
О ПРОЕКТЕ
Zerion — это главный вход в мир Web3 и DeFi. Мы строим мощную платформу, которая агрегирует тысячи протоколов и миллионы транзакций. Команда Platform создает «фундамент» системы — распределенные бэкенд-сервисы, которые должны работать как часы при любых нагрузках.
ВАШИ КЛЮЧЕВЫЕ ВЫЗОВЫ
— Scale: Проектирование и поддержка масштабируемых сервисов в распределенной среде.
— Infrastructure: Плотная работа с Web3-инфраструктурой и интеграция новых протоколов.
— End-to-End Ownership: Вы отвечаете за сервис целиком — от первой строчки кода и архитектуры до мониторинга в проде.
— Product Impact: Реальное влияние на то, каким будет продукт и как он будет развиваться.
НАШ СТЕК
— Python 3 (Core)
— Базы данных: Postgres, MongoDB, Cassandra
— Инфра: Docker, Kubernetes, AWS
— Мониторинг: Prometheus, Grafana, Sentry
— Будет круто, если вы знаете Golang или уже имели опыт в Web3.
ЧТО МЫ ЖДЕМ ОТ ВАС
— Backend Pro: 5+ лет опыта разработки распределенных систем (distributed backend).
— Ownership Mindset: Вы не просто пишете код, а берете на себя ответственность за результат.
— Balance: Умение находить золотую середину между скоростью разработки и качеством архитектуры.
— Context: Часовой пояс близкий к Европе (UTC+1...UTC+4) будет преимуществом.
ПОЧЕМУ С НАМИ КРУТО?
— Freedom: Полная удаленка без границ и лишней бюрократии.
— Tech Challenge: Работа со сложнейшей инфраструктурой в самом динамичном секторе IT.
— Transparency: Прямое общение, открытость к идеям и сильная инженерная культура.
Location: Limassol, Cyprus
At PayDepot we build several B2B and B2C fintech products, including payment infrastructure, crypto services and financial platforms. We are growing rapidly and are looking for a
Data Analyst / Analytics Engineer
who will help us turn data into actionable insights and improve the way our teams work with data.
This is a hands-on role combining
data analysis, SQL, reporting and data automation
. You will work closely with Product, Engineering and Business teams and gradually take ownership of data pipelines, models and reporting workflows.
What you will do
Design, build and maintain data pipelines from raw data to BI
Build and maintain data models and data marts
Monitor data quality, consistency and integrity across systems
Work closely with Product, Engineering and Business teams to define analytics requirements
Automate recurring reporting and data workflows
What we expect
2+ years of experience in Data Analytics, BI, Data Engineering or a similar role
Strong SQL knowledge, familiarity with Postgres & Redshift is a plus
Sufficient Python knowledge for data processing and automation
Understanding of data modelling and data warehouse concepts
Experience working with data pipelines or automated data workflows
Strong analytical thinking and attention to detail
Ability to work independently and communicate clearly with different teams
Fluent English
Nice to have
Experience with ETL/ELT tools or frameworks
Experience with dbt, Airflow or similar tools
Experience with cloud data platforms such as AWS, GCP or Azure
Experience in fintech, banking, payments or crypto products
Experience with product analytics and event-based data
Experience improving data quality and reporting processes
STEM degree or equivalent technical background
What we offer
Full relocation support and working visa
Competitive salary based on experience
Modern office in Limassol
Flexible days off when you need them
What awaits you
Working in a small and fast-paced Scrum team
A practical role where you can influence how we work with data
No bureaucracy - we focus on practical solutions and common sense
Pleasant colleagues and a healthy internal culture
A non-toxic environment with respect for work-life balance (we turn off Slack during vacations)
Limassol, Cyprus; Full relocation support and working visa
Location: Riyadh, Saudi Arabia; New Delhi, India; Cairo, Egypt; Manila, Philippines; Islamabad, Pakistan
Müller's Solutions is looking for a skilled Aveva PI Software Engineer to join our technology team. In this role, you will be responsible for the design, development, and maintenance of Aveva PI systems to support the organization's operational and business objectives. You will work closely with cross-functional teams to ensure reliable data management and real-time analytics using the Aveva PI platform.
Key Responsibilities:
Develop, configure, and maintain Aveva PI System infrastructure, including PI Data Archive, PI Asset Framework, and PI Interfaces.
Implement and support data collection from various sources to ensure accurate and timely data capture.
Collaborate with engineering, operations, and IT teams to integrate Aveva PI solutions with existing systems.
Monitor system performance and troubleshoot issues to ensure high availability and reliability.
Design and create analytical dashboards and reports to support decision-making.
Provide user training and technical support for Aveva PI applications.
Stay current with the latest developments in Aveva PI technology and recommend system improvements.
Requirements
Requirements:
Bachelor's degree in Computer Science, Engineering, or a related field.
Proven experience working with Aveva PI System components (PI Data Archive, Asset Framework, Interfaces).
Strong knowledge of data collection, storage, and real-time data analytics.
Experience with scripting languages (e.g., Python, PowerShell) for automation and integration tasks.
Familiarity with databases and SQL for data querying and management.
Good problem-solving skills and attention to detail.
Ability to work effectively in a team-oriented environment.
Strong communication skills to liaise with stakeholders and users.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Riyadh, Saudi Arabia; New Delhi, India; Cairo, Egypt; Manila, Philippines; Islamabad, Pakistan
Location: South Africa; Philippines; Pakistan; Poland; Bosnia and Herzegovina; North Macedonia
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech.
Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We’re looking for a
GTM Engineer / Revenue Operations Specialist
to design, refine, and scale the company’s go-to-market infrastructure. This role operates at the intersection of marketing, sales, product, and data, building systems that have a direct and measurable impact on revenue performance.
This is a highly cross-functional position where you’ll take ownership of the entire funnel—from acquisition to revenue—ensuring clean data, efficient automation, and actionable insights at every stage.
Key Responsibilities
Design and manage end-to-end GTM systems across CRM, marketing, product, and data infrastructure
Architect clean lead flows and scalable data pipelines with accurate attribution
Map, monitor, and optimize the full revenue funnel from acquisition to conversion
Write SQL queries to analyze performance, segment data, and diagnose funnel issues
Build actionable dashboards that inform revenue and growth decisions
Develop and maintain automation for lead routing, scoring, enrichment, and lifecycle management
Integrate tools and systems using APIs, webhooks, and automation platforms (e.g., Zapier, Make)
Identify and resolve funnel drop-offs, improving conversion rates across stages
Align marketing, sales, and product data into a unified reporting framework
Design and run experiments (e.g., landing pages, onboarding flows) and iterate based on results
Maintain CRM data hygiene, governance standards, and tracking consistency
Collaborate cross-functionally and translate business needs into scalable technical solutions
Optimize systems and processes to improve key metrics such as CAC, LTV, and pipeline velocity
Requirements
2+ years of recent hands-on experience in GTM Engineering, RevOps, or Growth Systems
Proven ability to design, manage, and optimize end-to-end revenue funnels
Strong SQL skills for segmentation, cohort analysis, and funnel diagnostics
Experience with CRM platforms (Salesforce or HubSpot) and marketing automation tools
Familiarity with modern data stack tools (e.g., Segment, Snowflake, Google Analytics)
Hands-on experience with automation tools (Zapier, Make) and API integrations
Solid understanding of attribution models and experimentation (A/B testing, basic statistics)
Basic scripting ability (Python or JavaScript) for automation and data workflows
Strong systems-thinking mindset with a focus on scalability and efficiency
Excellent communication skills with the ability to translate technical concepts to business stakeholders
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
As a enterprise technical support engineer, you will work closely with our enterprise customers and engineers to resolve their most complex issues. You will also help build out systems and processes to manage tasks to completion. You will problem solve with our technical teams and work to resolve as much as you can while scaling our systems and support processes.
This role will be based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE
- Work closely with our largest customers providing white-glove support to solve the most challenging support interactions
- Build and maintain strong relationships with enterprise customers, ensuring high levels of engagement and satisfaction
- Lead the troubleshooting and resolution of advanced technical issues across Notion’s platform and embedded partner applications, with a focus on unlocking AI usage for customers
- Act as a bridge between your customers and Notion engineering teams by reproducing issues, driving resolution through detailed bug reports, and closing the loop proactively with your customers
- Work cross-functionally across engineering and product to build processes and manage issues
- Perform advanced troubleshooting of products and embedded partner applications
- Reproduce customer issues, perform initial codebase triage, and file bugs with Engineering
- Manage key performance metrics defined within the team
- Respond to high-priority customer issues
- Create, refine, and scale support processes, working to improve overall support efficiency and effectiveness in handling complex, high-priority cases
- Collaborate on the creation and maintenance of both internal knowledge and customer-facing documentation, enhancing self-service support options for customers
- Participate in an on-call rotation to assist customers outside of normal working hours (once in a few months)
SKILLS YOU'LL NEED TO BRING
- 10+ years of experience in technical support, technical account management, or similar role
- You have experience owning and scaling support processes end-to-end to drive customer and company outcomes. This includes but is not limited to creating internal documentation, proposing and owning process changes, and advocating for specific customer outcomes
- You have a strong understanding of and experience with REST APIs
- You have experience advising customers on AI tool adoption
- You have knowledge of Single Sign-On including OAuth, SAML, and SCIM
- You have knowledge and experience troubleshooting desktop applications on Microsoft Windows and macOS
- You have experience advising both technical and non-technical stakeholders, and communicating complex issues with clarity
- You have strong analytical, debugging, and problem-solving skills
- You are able to analyze server and client application logs and identify the root cause of errors
- You have strong written and verbal communication skills and can work with both technical and non-technical audiences
- You are able to balance user expectations while understanding policies and compliance boundaries
- You are able to work under pressure and remain focused, confident and professional
- You are able to collaborate effectively with peers and across teams that are located in multiple offices
- You have experience mentoring more junior team members to deepen their technical expertise and drive outcomes for the business and customers
- You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results
NICE TO HAVES
- Knowledge of Linux, APIs, NoSQL, MySQL, and similar open-source technologies
- Experience with scripting languages such as Python, Java, JavaScript, or TypeScript
- Deep existing knowledge of Notion
- Experience operating in an organization that does Knowledge-Centered Service (KCS)
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $160,000 - $185,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are looking for an engineer who can walk into messy, cross-functional workflows and turn them into clean, automated systems that scale. This role focuses on identifying high-friction operational processes across the company and replacing them with durable, API-driven automation. You will work across IT, Security, Engineering, and Business teams to reduce manual work, improve reliability, and build systems that scale with the company.
This is not a ticket-driven IT role. You will operate with a high degree of ownership, driving initiatives end-to-end from problem discovery through implementation and rollout. You will be part of the Business Technology - Corporate Engineering team and report to the Director of Business Technology.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Identify and automate high-impact operational workflows across onboarding, offboarding, access management, and service delivery
Replace manual, fragmented processes with scalable, API-driven systems
Build and maintain integrations across HRIS, identity providers, SaaS platforms, and cloud environments
Develop internal tools and automation using platforms like Retool, Okta Workflows, and custom scripts or services
Apply infrastructure-as-code to manage and version system configurations
Incorporate AI into workflows to improve efficiency in areas like ticket routing, knowledge retrieval, and decision support
Design and automate access and security workflows that enforce least-privilege and auditability
Own and drive cross-functional initiatives end-to-end, from problem definition through implementation and rollout
The ideal candidate has:
4–7+ years of experience in IT, platform engineering, automation, or similar roles
Strong scripting or programming ability in Python, Go, Node.js, PowerShell, or similar
Experience building API-driven automation across multiple systems
Ability to design and implement workflows that span multiple tools and teams
Experience with infrastructure-as-code such as Terraform or similar
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What will make you stand out:
Hands-on experience with identity and access systems (Okta, SSO, SCIM, RBAC), including implementation and ongoing management
Proven ability to build and scale internal tools using platforms like Retool or other low-/no-code solutions
Familiarity with security automation and orchestration (e.g., Tines), with an eye toward reducing manual effort and risk
Practical experience leveraging AI/LLMs to streamline and enhance operational workflows
Strong understanding of compliance and security standards (HIPAA, SOC 2, HITRUST) and how they shape systems and processes
Focused on driving meaningful outcomes
Able to identify root-cause, system-level issues and design durable solutions rather than quick fixes
Comfortable navigating cross-functional environments with competing priorities and constraints
Operates with urgency while building scalable, maintainable solutions
Defaults to automation and efficiency wherever possible
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Okta, Okta Workflows, Retool, FreshService (ITSM), Google Workspace, Slack, Atlassian (Confluence and Jira), MDM platforms (Jamf Pro, Kandji/Iru, Intune), Airtable, AWS and GCP, Terraform, Rippling (HRIS), SOAR (Tines), and AI-enabled operational tooling (Claude, Gemini, OpenAI)
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation Transparency:
The target salary range for this position is $189,000 - $220,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Anywhere in France, Belgium, Spain
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐ BUILD THE AI-NATIVE COMPANY, FOR REAL
Alan has spent 10 years developing a distinctive way of working: radical transparency, written culture, distributed decision-making, no managers, no meetings by default. This wasn't just philosophy. It was a deliberate architectural choice, and it made Alan one of the most productive companies in European tech.
Now, agentic AI empowers us to make it much more personalized. The principles that made Alan productive become the foundation for a much more ambitious journey: a company where AI agents handle organizational complexity, surface the right context instantly, and let every person focus on the work that matters.
As a Software Engineer on this team, you will:
- Build the AI-powered internal platform that every Alaner uses daily to navigate the company, find context, and take action.
- Design and ship intelligent agents that automate real organizational workflows: onboarding, knowledge retrieval, performance alignment, decision support.
- Push LLMs into production for structured reasoning, agentic task execution, and deep integration with internal tools.
- Define the primitives and abstractions of AI-native work, the patterns that scale across every team and every country Alan operates in.
- Replace generic tools (HRIS, performance reviews, IAM) with opinionated, Alan-native software that compounds with our culture.
- Build and scale our Identity & Access Management (IAM), Privileged Access Management (PAM), and user lifecycle across 25+ systems.
- Collaborate with product, design, security and leadership to turn Alan's cultural principles into software that amplifies them.
WHY THIS ROLE IS SPECIAL
- Alan's written, transparent, async culture generates an extraordinary volume of structured organizational knowledge. Most companies can't feed AI agents with high-quality internal data. Alan already can.
- The team is building a full AI-native operational layer from scratch, not adding copilots to legacy tools.
- Every Alaner uses what you ship, every day. The feedback loop between building and impact is immediate.
- The work sits at the frontier of applied AI: agents, retrieval-augmented generation, structured outputs, tool use, human-in-the-loop design.
- The ambition goes beyond Alan. The patterns you build here could define how high-performance companies operate in the AI era.
🛠 YOUR PLAYGROUND
- Stack: Python/Flask, React, PostgreSQL, plus deep integration with LLM APIs and internal AI infrastructure.
- What you'll do: design and ship AI-native tools that power how Alan works. automated workflows, organizational navigation, agentic assistants.
- Impact: your work shapes the daily experience of every Alaner and builds the playbook for the AI-native company.
👥 WHO WE'RE LOOKING FOR
- Software engineers with +5 years of experience, ideally with backend or full-stack experience.
- Genuinely excited about AI and eager to explore what LLMs, agents, and retrieval systems can do inside a real product.
- Comfortable building in fast-moving territory where the right abstractions don't exist yet.
- Well-versed in OOP languages (Python, Java, C#) and modern web technologies.
- Fluent in English (French is a plus but not required).
- Curious, self-starting, humble, collaborative, and eager to grow.
🙌 PERKS & BENEFITS
- Fair rewards & equity packages.
- Flexible office & remote options.
- Top-tier equipment: MacBook Pro, monitor, noise-canceling headphones.
- Flexible vacation & hours.
- Comprehensive healthcare for you, children, and partners.
- Transport support and coaching for personal growth.
- Training budget for conferences, courses, books.
- Extended parental leave for all parents.
🔄 RECRUITMENT NOTE
🌟 We hire people, not roles. Don't worry if you don't check every box. High potential and curiosity matter most. We may even suggest another team if we see a better fit.
🔖 Learn more About Alan https://alan.com/about and on our Career pages https://alan.com/careers, Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE2297653.htm.
#LI-DNP
ОфисseniorNew York, NY
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