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.
ОфисLimassol Cyprus; Full relocation coverage for you and your family to Cyprus (Limassol)
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.
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: Yerevan, Armenia
We are looking for an experienced
Delivery Manager
to oversee the delivery of multiple products and strategic initiatives across a complex software environment. This role is responsible for portfolio alignment, delivery governance, strategic planning, stakeholder management, and ensuring successful execution against business priorities, OKRs, and long-term value objectives.
Responsibilities
Define and manage portfolio governance, visibility, and delivery frameworks, ensuring initiatives align with company strategy, OKRs, customer value streams, and business objectives.
Translate executive priorities into delivery roadmaps, driving strategic planning, prioritization, investment trade-offs, and value delivery across multiple products and teams.
Oversee the end-to-end delivery of multiple products and strategic initiatives, ensuring consistent execution, cross-product alignment, predictable outcomes, and long-term business value realization.
Identify and manage cross-product dependencies, delivery risks, resource constraints, capacity planning needs, and bottlenecks, escalating critical issues to leadership when required.
Act as the primary bridge between Engineering, Product, QA, Operations, Compliance, and executive stakeholders, providing clear communication on progress, risks, delivery performance, and strategic priorities.
Define, track, and report portfolio-level KPIs while driving continuous improvement of governance models, reporting standards, Agile practices, operating models, and organizational maturity.
Requirements
5+ years of experience in Delivery Management, Program Management, Portfolio Delivery, or Engineering Management within a software development environment.
Proven experience overseeing multiple products, programs, or domains, with responsibility for portfolio-level planning, governance, prioritization, and delivery alignment.
Demonstrated success managing large-scale delivery organizations, typically supporting portfolios of 50–100+ FTEs, while balancing resources, capacity, and business priorities.
Strong knowledge of SDLC, Agile methodologies, delivery governance, dependency management, resource planning, risk management, and performance reporting.
Excellent stakeholder management and communication skills, with experience partnering with senior leadership and influencing cross-functional teams across technical and non-technical functions.
Solid technical understanding of distributed systems, APIs, integrations, and cloud-based architectures, combined with strong analytical, problem-solving, and decision-making skills; experience in iGaming or other regulated industries is highly desirable.
Location: New York
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform.
You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.
This role is based in New York City, New York. We use an in-person work model and offer relocation assistance to new employees.
WHAT YOU’LL DO
- Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions
- Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management
- Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues
- Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms
- Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint
- Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments
- Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership
REPRESENTATIVE PROJECTS
- Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration
- Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience
- Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers
- Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking
- Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability
WHAT YOU HAVE
- 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment
- Long track record building and scaling complex, large-scale distributed systems
- Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well)
- Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation
- Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale
- Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io)
- Strong programming skills in Python, Go, or similar languages
- Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence
NICE TO HAVE
- Experience building infrastructure for AI/ML workloads or high-throughput inference systems
- Background with distributed rate limiting, load balancing, or quota management systems
- Experience operating multi-tenant platforms with strict security and compliance requirements
- Track record of leading complex cross-functional projects and delivering measurable impact
COMPENSATION RANGE
$201,000 - $264,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-AN2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform.
You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.
This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.
WHAT YOU’LL DO
- Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions
- Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management
- Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues
- Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms
- Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint
- Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments
- Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership
REPRESENTATIVE PROJECTS
- Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration
- Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience
- Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers
- Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking
- Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability
WHAT YOU HAVE
- 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment
- Long track record building and scaling complex, large-scale distributed systems
- Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well)
- Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation
- Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale
- Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io)
- Strong programming skills in Python, Go, or similar languages
- Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence
NICE TO HAVE
- Experience building infrastructure for AI/ML workloads or high-throughput inference systems
- Background with distributed rate limiting, load balancing, or quota management systems
- Experience operating multi-tenant platforms with strict security and compliance requirements
- Track record of leading complex cross-functional projects and delivering measurable impact
COMPENSATION RANGE
$236,000 - $290,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE. https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74
#LI-AN2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
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: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy.
The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do.
REPRESENTATIVE PROJECTS
- Context Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on.
- Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on.
- Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically.
- Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features.
WHAT YOU’LL DO
- Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products.
- Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context.
- Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively.
- Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products.
- Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.
WHAT YOU HAVE
- 10+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering and a track record of technical leadership across teams.
- Experience building and shipping multi-model or multi-provider AI systems in production.
- Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters.
- A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability.
- Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally.
- Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real.
- A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems.
- Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly.
COMPENSATION RANGE
$231,000 - $340,000
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-AK1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, 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 Opportunity
OKX's Trading Products team owns the core trading experience across Spot, Margin, and Perpetual/Futures — spanning the full user journey from pre-trade decision-making, through order execution, to post-trade settlement and risk management. As our trading volumes and product complexity continue to grow globally, we are looking for a
Trading Product Manager
who can own and evolve both the
user-facing trading experience
and the
underlying trading mechanics
that power it.
This role sits at the intersection of product design and trading logic. You will work on how users discover, price, place, and manage trades (pre-trade / trade / post-trade), while also owning the correctness and soundness of the core mechanisms beneath the surface — margin models, funding rate formulas, liquidation logic, risk parameter design, and order/matching behavior. You will work closely with engineering, risk, quant, and design teams to ship trading features that are intuitive for users and rigorous under the hood.
What You’ll Be Doing
Start from users and the market to uncover real trading-experience needs
— Continuously surface user pain points through user research, behavioral data, community feedback, and conversations with active traders, ensuring product direction is grounded in real signal rather than internal assumptions.
Benchmark against industry best practices to build best-in-class trading product competitiveness
— Continuously track developments in crypto and traditional finance markets and the latest moves from leading products, translating external insight into concrete product opportunities that keep our trading experience and competitiveness ahead of the industry.
Build and continuously refine the end-to-end trading experience
— Own the full journey across pre-trade (market data presentation, decision-support tools, leverage/margin setup, risk disclosures), trade (order flow, execution feedback, order book/depth interaction), and post-trade (position management, PnL display, settlement statements) — from defining requirements through to shipping the solution.
Drive efficient cross-team collaboration with mature program-management execution
— Bring a complete product methodology, independently write rigorous PRDs, and lead alignment and coordination across engineering, risk, quant, design, and compliance. Own the full project lifecycle — from requirements definition and solution design, through development scheduling, to launch validation and post-launch review — ensuring every stage closes the loop with a clear outcome, without relying on others to drive progress.
Apply rigorous quantitative thinking to understand and reason about trading mechanics
— Bring strong logical reasoning and quantitative analysis skills, with the ability to learn fast and quickly master core trading mechanisms such as margin, leverage, funding rates, and liquidation. Candidates with a deep understanding of trading systems are preferred.
What We Look For In You
We are open to two types of candidates for this role:
(a) Experienced Trading Practitioners
Prior hands-on experience in trading — either within crypto (exchange product, quant, trading desk) or in traditional finance (equities, futures, FX, derivatives) — with direct exposure to how trading products and mechanisms are designed and operated.
Solid understanding of core trading concepts: margin/leverage, order types, market microstructure, risk management, and P&L mechanics.
Comfortable reading and reasoning through trading formulas (e.g. mark price, funding rate, liquidation price) and translating them into clear product logic.
(b) High-Potential Talent
Strong quantitative/analytical foundation — a background in mathematics, physics, statistics, engineering, or a related quantitative discipline, with strong academic performance.
High self-drive and fast learning ability — demonstrated track record of picking up complex, technical domains quickly and independently, even without prior trading experience.
Genuine intellectual curiosity about financial markets and trading mechanics, with the rigor to work through formulas and edge cases rather than relying on surface-level understanding.
Common requirements for both profiles:
3+ years of product management experience (or equivalent hands-on experience in quant/trading roles for candidates from profile (a)).
Strong technical intuition — comfortable discussing system architecture and data flows with engineers, and reasoning through quantitative models. You don't need to be a developer, but you think with the rigor of one.
Excellent communication skills — able to write a precise, technically sound PRD, and to explain complex trading mechanics clearly to both technical and non-technical stakeholders.
High agency and execution velocity — comfortable operating in ambiguity, moving from open question to shipped solution, and making decisions with incomplete information.
Genuine passion for crypto and trading — actively uses trading products, understands order types and market microstructure, and can explain how margin, leverage, or liquidation mechanics work. Ideally, you have skin in the game.
Proficiency in Mandarin is required
to communicate effectively with internal engineering and product stakeholders in the China-based R&D center.
Nice-To-Haves
Experience with derivatives products (perpetual futures, options) either as a builder or an active trader.
Familiarity with risk parameter design (margin tiers, liquidation engines, insurance funds) at an exchange or financial institution.
Quantitative modeling experience (e.g. Python, SQL) sufficient to validate trading formulas or backtest mechanism changes.
Prior work in a high-growth crypto exchange, trading firm, or fintech company.
Fluency in English is preferred to better support communication with global product and business stakeholders.
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 Opportunity
OKX's Trading Products team owns the core trading experience across Spot, Margin, and Perpetual/Futures — spanning the full user journey from pre-trade decision-making, through order execution, to post-trade settlement and risk management. As our trading volumes and product complexity continue to grow globally, we are looking for a
Trading Product Manager
who can own and evolve both the
user-facing trading experience
and the
underlying trading mechanics
that power it.
This role sits at the intersection of product design and trading logic. You will work on how users discover, price, place, and manage trades (pre-trade / trade / post-trade), while also owning the correctness and soundness of the core mechanisms beneath the surface — margin models, funding rate formulas, liquidation logic, risk parameter design, and order/matching behavior. You will work closely with engineering, risk, quant, and design teams to ship trading features that are intuitive for users and rigorous under the hood.
What You’ll Be Doing
Start from users and the market to uncover real trading-experience needs
— Continuously surface user pain points through user research, behavioral data, community feedback, and conversations with active traders, ensuring product direction is grounded in real signal rather than internal assumptions.
Benchmark against industry best practices to build best-in-class trading product competitiveness
— Continuously track developments in crypto and traditional finance markets and the latest moves from leading products, translating external insight into concrete product opportunities that keep our trading experience and competitiveness ahead of the industry.
Build and continuously refine the end-to-end trading experience
— Own the full journey across pre-trade (market data presentation, decision-support tools, leverage/margin setup, risk disclosures), trade (order flow, execution feedback, order book/depth interaction), and post-trade (position management, PnL display, settlement statements) — from defining requirements through to shipping the solution.
Drive efficient cross-team collaboration with mature program-management execution
— Bring a complete product methodology, independently write rigorous PRDs, and lead alignment and coordination across engineering, risk, quant, design, and compliance. Own the full project lifecycle — from requirements definition and solution design, through development scheduling, to launch validation and post-launch review — ensuring every stage closes the loop with a clear outcome, without relying on others to drive progress.
Apply rigorous quantitative thinking to understand and reason about trading mechanics
— Bring strong logical reasoning and quantitative analysis skills, with the ability to learn fast and quickly master core trading mechanisms such as margin, leverage, funding rates, and liquidation. Candidates with a deep understanding of trading systems are preferred.
What We Look For In You
We are open to two types of candidates for this role:
(a) Experienced Trading Practitioners
Prior hands-on experience in trading — either within crypto (exchange product, quant, trading desk) or in traditional finance (equities, futures, FX, derivatives) — with direct exposure to how trading products and mechanisms are designed and operated.
Solid understanding of core trading concepts: margin/leverage, order types, market microstructure, risk management, and P&L mechanics.
Comfortable reading and reasoning through trading formulas (e.g. mark price, funding rate, liquidation price) and translating them into clear product logic.
(b) High-Potential Talent
Strong quantitative/analytical foundation — a background in mathematics, physics, statistics, engineering, or a related quantitative discipline, with strong academic performance.
High self-drive and fast learning ability — demonstrated track record of picking up complex, technical domains quickly and independently, even without prior trading experience.
Genuine intellectual curiosity about financial markets and trading mechanics, with the rigor to work through formulas and edge cases rather than relying on surface-level understanding.
Common requirements for both profiles:
3+ years of product management experience (or equivalent hands-on experience in quant/trading roles for candidates from profile (a)).
Strong technical intuition — comfortable discussing system architecture and data flows with engineers, and reasoning through quantitative models. You don't need to be a developer, but you think with the rigor of one.
Excellent communication skills — able to write a precise, technically sound PRD, and to explain complex trading mechanics clearly to both technical and non-technical stakeholders.
High agency and execution velocity — comfortable operating in ambiguity, moving from open question to shipped solution, and making decisions with incomplete information.
Genuine passion for crypto and trading — actively uses trading products, understands order types and market microstructure, and can explain how margin, leverage, or liquidation mechanics work. Ideally, you have skin in the game.
Proficiency in Mandarin is required
to communicate effectively with internal engineering and product stakeholders in the China-based R&D center.
Nice-To-Haves
Experience with derivatives products (perpetual futures, options) either as a builder or an active trader.
Familiarity with risk parameter design (margin tiers, liquidation engines, insurance funds) at an exchange or financial institution.
Quantitative modeling experience (e.g. Python, SQL) sufficient to validate trading formulas or backtest mechanism changes.
Prior work in a high-growth crypto exchange, trading firm, or fintech company.
Fluency in English is preferred to better support communication with global product and business stakeholders.
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: London, UK; Ontario, CAN; Remote-Friendly, United States; 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.
Anthropic Fellows Program overview
The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.
Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on project aligned with our research priorities, with the goal of producing a
public output
(e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis.
Submit your application to the Economics & Policy workstream at the bottom of this page.
We are accepting applications on a rolling basis for the next cohort expected to start in January 2027. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the January 2027 start date doesn't work for you.
What to expect
4 months of full-time research
Direct mentorship from Anthropic researchers
Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
Substantial funding for compute and other research expenses
Interview process
The interview process will include an initial application, assessments, and interviews. We may ask for references later in the process as well.
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.
Compensation
The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).
The Anthropic Institute Fellows (Economics & Policy)
Mentors, research areas, & past projects
Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include:
Economics
Maxim Massenkoff
Peter McCrory
Policy, Security, and Society
Jack Clark
Marina Favaro
Jim Baker
Projects in this workstream may include:
Designing and conducting empirical research on AI's economic effects, drawing on external data sources
Developing new methodological approaches for studying AI's impact on labor markets, the future of work, and society
Analysing the offense–defense balance for AI-enabled cyber and bio capabilities as models scale
Measuring the extent to which model performance increases with custom harnesses
Identifying market driven mechanisms that could improve societal resilience to anticipated threats from AI systems
Identifying which metrics relating to AI R&D could serve as early warning signals for recursive self-improvement
For past project examples, see:
How AI Impacts Skill Formation
: Judy Shen and Alex Tamkin
Stress-Testing Model Specs Reveals Character Differences among Language Models
: Jifan Zhang, Henry Sleight, Andi Peng, John Schulman, and Esin Durmus
Unique candidate criteria
You might be a particularly great fit for this workstream if you:
Have an interest in economics or policy research; prior experience in this area is a plus but not required
Are adaptable and collaborative, able to take direction and contribute to team priorities rather than needing to pursue a predetermined research agenda
Are skilled at writing up and communicating your results, even when they're null or unexpected
Are passionate about translating research insights into actionable recommendations for improving AI systems and informing policy
You may be a good fit if you:
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into AI research and would be interested in a full-time role at Anthropic
Strong track record of empirical research
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Candidates must be:
Fluent in Python programming
Available to work full-time on the Fellows program
Logistics - Fellows Program
Submit your application to the Anthropic Institute Fellows at the bottom of this page.
Logistics Requirements:
To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.
Workspace Locations:
We have designated shared workspaces in SF.
We are also open to remote fellows in the UK, US, or Canada
.
Visa Sponsorship:
We are
not
currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.
Program Duration:
The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.
The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.
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: Ukraine; Poland; Spain; Romania; Portugal
About Us
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
And now we are looking for a Senior Engineering Manager to join us as part of our team.
About the role
PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others.
As a member of the Product and Engineering team at PitchBook, you will be part of a group of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
As a Senior Engineering Manager in the Technology & Engineering division, you will be responsible for managing and growing several self-organized engineering teams, driving delivery excellence, and representing development direction at a strategic level. You will collaborate closely with engineering leads, product managers, and senior stakeholders to ensure alignment, performance, and team success.
Tech Stack: Java, Python, TS/JS/React, GCP, Vertex AI, AWS, Bedrock etc
Team setup: 2-5 teams
Work Environment: flexible
As a qualified expert You will
Manage and grow multiple engineering teams and their leaders within a business unit or product area.
Cultivate technical excellence and a culture of continuous learning across teams.
Participate in and supervise discussions on key technical decisions, delivery expectations, and people allocation.
Represent the development direction at the strategic (VP) level, including plans, results, metrics, and capabilities.
Drive AI tool adoption to improve team efficiency and delivery speed.
Encourage learning through AI-assisted development and automation.
Coach teams on best practices for software delivery, estimation, stakeholder communication, and continuous improvement.
Ensure clear goals, priorities, and resource allocation while maintaining technical excellence and innovation.
Foster a culture of trust, transparency, collaboration, and constructive feedback.
Maintain high morale and motivation, especially during challenging circumstances.
Balance business, team, and individual needs through effective communication and decision-making.
Recognize team achievements and help teams learn from challenges or failures.
Manage staffing, including hiring new team members aligned with company values and culture.
Monitor and assess team performance, conduct performance reviews, and ensure fair compensation processes.
Support the adoption of DevOps practices and modern engineering methodologies.
We’re looking for you if you have
Mature understanding of the manager’s role, with a strong product- and results-oriented mindset, demonstrating strong ownership and focus on delivering outcomes.
7+ years of hands-on experience in software development, primarily with the Java stack.
3+ years of experience managing one or more engineering teams (25+ individuals) in a modern software development environment.
Strong understanding of modern software development processes, frameworks, and their practical trade-offs.
Knowledge of contemporary software engineering technologies and their applications to real-world problems.
Understanding of AI tools, prompting, and workflow automation in software engineering.
Ability to assess AI outputs and apply them to improve efficiency and quality.
Familiarity with DevOps culture and practices.
Strong interpersonal skills combining empathy, business acumen, and the ability to set expectations and provide feedback.
Open-mindedness, willingness to learn, and courage to make progress-driving decisions.
Excellent written and verbal communication skills in English.
Bonus points
Experience leading the development of complex, distributed software systems requiring deep domain or technical expertise.
Experience with Agile or other value-stream-based framework transformations.
Proven success in building high-performing software development teams from the ground up.
Experience managing teams using metrics related to motivation, performance, and time.
What’s in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture.
Embrace the opportunity for personal and professional growth
Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more.
Feel cared about
Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.
Interview steps
Interview with the recruiter
Manager screening
Tech Interview
HR Interview
Interview with Managing Director
Product Interview (Client)
Interview with VP, Technology & Engineering (Client)
Location: London, UK
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 RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run.
Responsibilities
Build and improve the RL training infrastructure that researchers depend on day-to-day
Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster
Own the reliability and performance of research runs end-to-end
Contribute to design decisions that shape how Anthropic does RL at scale
You may be a good fit if you
Have strong software engineering fundamentals and a track record of building performant, reliable systems
Have worked on ML infrastructure, distributed systems, or research tooling
Care about enabling other people's work and find leverage through platforms rather than individual experiments
Are comfortable operating across the stack, from low-level performance work to RL algorithms
Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego
Strong candidates may also have
Experience with large-scale distributed training (RL, pre-training, or post-training)
Familiarity with JAX, PyTorch, or similar ML frameworks
A track record of operating at the edge of research and infra in a fast-moving environment
Deadline to apply:
None. Applications will be reviewed 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:
£370,000
—
£630,000 GBP
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-Friendly (Travel-Required) | San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run.
Responsibilities
Build and improve the RL training infrastructure that researchers depend on day-to-day
Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster
Own the reliability and performance of research runs end-to-end
Contribute to design decisions that shape how Anthropic does RL at scale
You may be a good fit if you
Have strong software engineering fundamentals and a track record of building performant, reliable systems
Have worked on ML infrastructure, distributed systems, or research tooling
Care about enabling other people's work and find leverage through platforms rather than individual experiments
Are comfortable operating across the stack, from low-level performance work to RL algorithms
Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego
Strong candidates may also have
Experience with large-scale distributed training (RL, pre-training, or post-training)
Familiarity with JAX, PyTorch, or similar ML frameworks
A track record of operating at the edge of research and infra in a fast-moving environment
Deadline to apply:
None. Applications will be reviewed 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:
$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.
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.
О ПРОЕКТЕ
Match Systems создает мощные экосистемы для криптоплатежей и передовые AML-комплексы (анализ и трекинг транзакций). Мы работаем на острие технологий, помогая делать блокчейн прозрачным и безопасным.
ВАШИ КЛЮЧЕВЫЕ ВЫЗОВЫ
— Highload Engine: Проектирование и развитие сверхнагруженных backend-сервисов на Python.
— Optimization: Поиск и устранение узких мест в производительности систем.
— Scalability: Масштабирование архитектуры для обработки огромных массивов данных.
— Quality: Проведение Code Review и внедрение культуры тестирования (Unit, Integration).
— Cross-Team: Синхронизация с командами для внедрения надежных решений.
ЧТО МЫ ЖДЕМ ОТ ВАС
— Solid Experience: 7+ лет в разработке на Python.
— FastAPI Pro: Глубокие знания и опыт работы с фреймворком.
— Asynchronous Master: Экспертное владение asyncio, threading, multiprocessing. Вы понимаете влияние GIL и знаете, когда выбрать I/O-bound или CPU-bound подход.
— Messaging: Уверенная работа с Kafka и RabbitMQ (понимание разницы между FIFO/LIFO и Pub/Sub).
— Protocols: Опыт разработки RESTful API, работа с gRPC и RPC.
— Database Skills: Владение PostgreSQL и мастерство использования ORM.
— Domain: Опыт в Crypto / Blockchain или разработке торговых ботов будет вашим преимуществом.
ПОЧЕМУ ЭТО КРУТО?
— Global Presence: Возможность работать из любой точки мира или наших хабов (Дубай, Сингапур).
— Complex Tasks: Реальные вызовы в одной из самых востребованных ниш (AML и блокчейн-безопасность).
— Hardcore Team: Работа в команде топовых экспертов отрасли.
— Growth: Профессиональный рост в среде, где технологии меняются каждый день.
Location: Remote; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Preferable to have someone near one of our offices in NYC or San Francisco, but open to hiring around the US for the right candidate.
Join the frontier of shaping generative AI video and its legal landscape as an early lawyer at Runway. We are looking to hire a Commercial Counsel who has a strong background in B2B SaaS customer negotiations. Other nice-to-have experience includes: legal operations, privacy, and strategic IP-heavy partnerships, and product counseling. You are a self-starter who thrives at getting things done in fast-paced, unstructured environments. You have a passion for helping companies build and bringing scalable initiatives across our commercial and other legal workstreams.
While the role is in large part focused on the commercial legal function, you might also bring to the table generalist experience across domains such as data privacy, vendor negotiations, and compliance. You will serve as a strategic thought partner to cross-functional teams from sales to partnerships to marketing and to the Runway Executive Team. Comfort working within a highly technical, rapidly evolving area of the law is a must.
WHAT YOU’LL DO
- Lead negotiations with Runway’s customers and strategic partners. These include B2B SaaS customer contracts for our generative AI SaaS platform and APIs, DPAs, partnership agreements, and vendor agreements.
- Implement commercial processes, tools, and infrastructure to help us scale, including improving templates, playbooks, contract review automation, and our legal tech stack
- Empower the sales team with tools and knowledge to close deals quickly
- Dive into the technical aspects of our generative AI products to learn them inside and out, to inform your advice to the business
- Closely follow technical, legal, and policy developments in the generative AI space
WHAT YOU’LL NEED
- A J.D. and admission in good standing with at least one state bar
- 3+ years of negotiating complex technology transactions, including 1+ years negotiating B2B SAAS customer contracts on a commercial legal team at a fast-paced late stage private or mid-sized public B2B SaaS company
- In addition to B2B SaaS customer contract negotiations, experience with data privacy, legal operations, strategic IP-heavy partnerships and preferably B2C legal issues are nice-to-have
- Bias for action and a willingness to take ownership
- Growth mindset that prioritizes continuous operational improvement and service excellence
- Experience with scaling business processes globally and operating in environments that have achieved significant scale
- Excitement about generative AI and motivation to continuously learn more about the legal landscape governing a new and exciting industry
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Espoo; Berlin
Workplace: Hybrid
- Senior DevOps Engineer – Core Platform Engineering
- Location: Espoo, Finland / Berlin, Germany
- Department: Platform & Release Engineering - Engineering
- Reports to: Infrastructure Engineering Lead
- Employment type: Permanent
- Workplace model: Hybrid / Office
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
As a Senior DevOps Engineer, you’ll design and operate the core platform foundations that power ICEYE’s products, enabling secure, scalable, and reliable services across cloud and on-prem environments.
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
- Design, operate, and evolve core platform components including Kubernetes, ingress, service mesh, and secrets management
- Build and maintain reusable infrastructure modules using Terraform across AWS and on-prem environments
- Define and implement observability standards, including metrics, logs, traces, dashboards, and alerting
- Partner with product teams to guide platform adoption and enable scalable, platform-aligned architectures
- Automate platform lifecycle processes including provisioning, upgrades, and scaling
- Improve platform reliability, performance, and security through continuous iteration
- Support and mentor engineers on best practices in Kubernetes, networking, identity, and observability
- Reduce operational overhead through tooling, automation, and improved platform abstractions
WHAT WE’RE LOOKING FOR
MUST HAVES:
- 5+ years of experience in DevOps, SRE, or Platform Engineering roles operating production systems
- Strong hands-on experience with Kubernetes, including cluster operations, networking, and lifecycle management
- Solid understanding of AWS fundamentals including networking, IAM, compute, and storage
- Experience with infrastructure as code using tools such as Terraform
- Practical experience with observability, including SLOs, metrics, logs, traces, and alerting
- Proficiency in at least one backend language such as Python or Go
- Strong Linux systems knowledge and troubleshooting skills
- Ability to collaborate across teams and communicate effectively in English
NICE TO HAVES:
- Experience with Rancher, Istio, External Secrets, or Vault
- Experience operating in restricted or air-gapped environments
- Experience with identity systems such as FusionAuth or SSO integrations
- Experience in regulated or mission-critical environments
- Experience with hybrid infrastructure across AWS and on-prem platforms
APPLICATION PROCESS
- Recruiter interview
- Hiring manager interview
- Task Assignment
- Technical interview
- Final interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
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 and we will 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.
ГибридEspoo
San Francisco, CA | Seattle, WA
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
New York; We use an in-person work model and offer relocation assistance to new employees
San Francisco; We use an in-person work model and offer relocation assistance to new employees
seniorNew York City, New York
ГибридSan Francisco
Hong Kong, Hong Kong SAR; 3+ years of product management experience (or equivalent hands-on experience in quant/trading roles for candidates from profile (a))
Singapore, Singapore; 3+ years of product management experience (or equivalent hands-on experience in quant/trading roles for candidates from profile (a))
London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
УдалённоseniorUkraine; Poland; Spain; Romania; Portugal
London, UK
УдалённоГеография найма не уточнена
УдалённоseniorRemote; New York, NY; San Francisco, CA; Lastly, the provided range is the expected salary for candidates in the U.S
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