Location: Dubai, United Arab Emirates
The Trading Support Controller supports the operational and financial processes of a fertilizers trading business. The role focuses on invoice verification, reconciliation of counterparties, and financial coordination across operational and logistics functions. The position requires strong attention to detail and understanding of commodity trading flows, including contract execution, shipping documentation, and settlement processes.
Responsibilities:
Review and verify logistics-related invoices (freight, inspection, storage) against contracts and supporting documents.
Ensure accuracy of pricing, quantities, Incoterms, and contractual conditions in all financial documents.
Prepare and submit invoices for payment in line with internal approval procedures and payment schedules.
Perform operational reconciliation of balances with counterparties and service providers in coordination with accounting team.
Consolidate mutual settlements and monitor open positions across multiple contracts and shipments.
Identify and resolve discrepancies related to pricing, logistics costs, quantities, quality claims.
Liaise with Operations, logistics, and counterparties to clarify contractual and financial issues.
Support contract execution by ensuring all financial aspects are aligned with shipment documents (BL, invoices, certificates).
Work closely with the Finance and Accounting teams to ensure proper allocation of costs and revenues per trade.
Support month-end closing by providing reconciliations, accruals, and supporting documentation.
Maintain accurate records of trade-related financial data in internal files and the CRM system.
Requirements
Degree in Finance, Accounting, Economics, or related field
2–5 years of experience in logistics and commodities trading, preferably fertilizers, agri-products, or bulk materials
Understanding of Incoterms, trade lifecycle, and shipping documentation (BL, COA, laytime calculations)
Experience with logistics cost structures (freight, inspections, demurrage/dispatch)
Strong Excel skills
High attention to detail and ability to work with large volumes of data
Strong communication skills for interaction with international counterparties
Benefits
Highly organised and detail-oriented
Quick learner with the ability to adapt to new systems and processes
Result-driven with a strong sense of ownership and accountability
Ability to meet deadlines and manage multiple priorities
Strong analytical and problem-solving skills
Team player with good communication and interpersonal skills
Location: Remote - US
About the Job:
As a Staff Engineer on LaunchDarkly's Experimentation team, you'll build the platform that helps engineering teams make data-driven decisions with confidence. Our Experimentation product enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences — integrated with a feature management platform that processes trillions of evaluations daily.
This role sits at the intersection of data science and platform engineering. You'll design the statistical engine, warehouse-native analysis pipelines, and adaptive experimentation systems (including contextual bandits) that power our customers' most important decisions. We want someone who brings genuine depth in applied statistics and ML — as fluent in statistical validity as in system architecture.
You'll also architect warehouse-agnostic features that run analysis directly inside customers' data warehouses (Snowflake, Databricks, Redshift, BigQuery) — modular computation layers that abstract across warehouse environments while maintaining statistical correctness.
Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical. You'll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end, including on-call.
Responsibilities:
Build the experimentation statistical engine — hypothesis testing, sequential analysis, variance reduction (
CUPED
, Winsorization), power analysis. Ensure statistical correctness across all experiment types.
Design warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery). Build modular, warehouse-agnostic abstractions for rapid new backend support.
Lead adaptive experimentation — contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests.
Drive the platform roadmap with product, design, and data science. Shape what we build, not just how.
Collaborate cross-functionally with Warehouse Integrations, SDK, Platform, and Data Science teams.
Mentor engineers and raise the team's bar for statistical rigor and system design.
Own operational excellence — monitoring, observability, incident response, on-call. Robust telemetry and alerting.
Qualifications:
10+ years building large-scale experimentation platforms, statistical analysis systems, or data-intensive backend services.
Applied-statistics knowledge: hypothesis testing, sequential analysis, variance reduction (
CUPED
), power analysis, experiment design. Comfortable with frequentist vs. Bayesian trade-offs.
Experience with adaptive experimentation ML — contextual bandits, Thompson sampling, Bayesian optimization, or
RL
-based allocation.
Track record designing warehouse-agnostic systems across Snowflake, Databricks, Redshift, BigQuery, or similar.
Expertise in Go, Python, or similar for backend services and statistical computation.
Experience with event-driven architectures, data pipelines, and large-scale data processing.
Cloud environments (AWS, GCP) with infrastructure-as-code.
Technical leadership: setting direction, breaking down complex problems, influencing across teams.
Ability to translate statistical concepts for product and engineering audiences.
Pay:
Target pay ranges based on Geographic Zones* for Level 5:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $214,800 - $295,350*
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago -
$193,400 - $265,870**
Zone 3:
All other US locations -
$182,600 - $251,0202**
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are seeking a Teleoperation Control Engineer to help build the systems that let human operators safely, confidently, and precisely control advanced robots. This role sits at the intersection of robot control, real-time software, operator UX, hardware integration, and human-in-the-loop workflows.
You will develop the core teleoperation capability that enables operators to guide, recover, teach, and improve robot behavior in real time. That includes intuitive control mappings, reliable command pipelines, clear operator feedback, high-quality data capture, and safeguards for safe use around real hardware.
We are open to strong candidates from junior through staff level. The key traits are hands-on robotics ability, strong engineering judgment, care for software quality, and a product-minded instinct for making complex robot systems intuitive for operators.
WHAT YOU’LL DO
- Develop teleoperation capabilities for controlling robots across manipulation, mobility, and loco-manipulation tasks.
- Design intuitive operator experiences, including input mappings, visualizations, feedback loops, recovery flows, and workflows that reduce cognitive load and improve operator confidence.
- Integrate input devices such as VR controllers, gloves, haptic devices, motion capture systems, and custom operator stations into the robot software stack.
- Translate noisy, high-frequency human input into smooth, stable, physically feasible robot commands with predictable behavior.
- Build robust teleoperation infrastructure for real-time data streaming, calibration, replay, debugging, logging, operator training, and high-quality demonstration capture.
- Develop shared-autonomy and assistive-control features that blend human intent with robot capability to improve precision, safety, and ease of use.
- Create safe operating boundaries, limiters, alerts, emergency/recovery flows, and clear state feedback so robot operators can use teleoperation safely.
- Define and improve quality metrics for teleoperation systems, including latency, reliability, observability, operator success rate, demonstration quality, and failure modes.
- Stress-test teleoperation systems on real hardware and in simulation, then drive reliability improvements based on operator feedback and observed failures.
- Work closely with controls, manipulation, hardware, and operations teams to ensure teleoperation requirements shape robot design and field workflows.
WHAT WE'RE LOOKING FOR
- Strong robotics fundamentals, including kinematics, coordinate frames, control interfaces, state estimation basics, and real-time system behavior.
- Experience building a subset of the following: teleoperation systems, operator UIs, shared-autonomy tools, human-robot interfaces, or robot learning data-collection pipelines.
- Ability to write reliable software in C++ and/or Python, with experience in ROS/ROS2, real-time data streaming, or robotic middleware.
- Good intuition for human-in-the-loop systems: how operators perceive robot state, issue commands, recover from errors, and build trust.
- A quality mindset: clean abstractions, testing, logging, observability, performance tuning, and tools that remain usable under pressure.
- Strong debugging skills across the stack, from operator input devices to robot motion, sensors, networking, and hardware behavior.
- Comfort iterating quickly on real robots, learning from operator feedback, and turning prototypes into robust capabilities.
- Clear communication and collaboration with cross-functional teams.
Nice to have:
- Hands-on experience building or debugging software for real robotic hardware, ideally in manipulation, mobile manipulation, humanoids, or dexterous systems.
- Experience designing safe workflows for hardware-facing systems where latency, instability, poor feedback, or misuse can create operational risk.
- Experience collecting high-quality demonstrations for imitation learning, behavior cloning, or other robot learning workflows.
- Exposure to intent inference, haptics, force feedback, motion capture, VR/AR interfaces, or custom control devices.
- A product-minded approach to robotics: caring not only that the robot moves, but that control is intuitive, safe, reliable, and pleasant for operators to use.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Hong Kong, Hong Kong SAR
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.
About the Opportunity
You will be responsible for the core architecture design and technical delivery of an enterprise-grade AI Native engineering platform, driving the deep integration of large language models, AI Agents, knowledge capabilities, and the software development lifecycle. The platform will support intelligent capabilities across requirement analysis, solution generation, coding collaboration, test automation, and environment orchestration.This role focuses on engineering-grade AI implementation in complex R&D scenarios. You are expected to turn model capabilities into reusable, scalable, and governable platform capabilities, and continuously drive the evolution of the engineering platform toward an AI Native architecture.
What You’ll Be Doing
Lead the
overall architecture design and core capability development
of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration.
Drive the
implementation of AI Native capabilities in engineering workflows
, including AI coding, technical solution generation, test case generation, test report generation, and automated environment deployment.
Build the
knowledge augmentation layer
for the platform, including the design, integration, and application of RAG, GraphRAG, and knowledge graph capabilities.
Establish the
runtime and governance framework
for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance.
Collaborate with product, engineering, QA, and operations teams to standardize, productionize, and scale platform capabilities, continuously improving engineering efficiency and delivery quality.
What We Look For In You
Bachelor’s degree or above
, preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
8+ years
of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities.
Proficient in
Java / Python
, with solid coding skills, architectural thinking, and experience building complex systems.
Strong understanding of
LLM
and AI Agent architectures
, including task decomposition, tool use, context management, memory, execution loops, and exception handling.
Hands-on experience with
LangChain and LangGraph
, and strong familiarity with mainstream AI coding tools or frameworks such as
Claude Code
, Codex,
Cursor
, and Copilot
.
Experience in designing or developing
RAG / GraphRAG / knowledge graph
solutions for enterprise knowledge augmentation and engineering use cases.
Good understanding of
DevOps
,
CI/CD
,
Kubernetes
, and cloud-native technologies
, with strong cross-functional collaboration and execution skills.
Nice to Haves
Experience contributing to
open-source projects
related to AI Agents, AI Coding, RAG, or knowledge graphs.
Experience building
enterprise engineering platforms,
DevOps
platforms, or AI platforms
.
Familiarity with open-source Agent projects such as
openclaw, openhands/openharness, or Hermes
.
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!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Discl
aimer:
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: 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
Runway’s Legal team is looking for a Litigation Counsel to help manage Runway’s litigation and dispute resolution work day-to-day, with strategic guidance from the Associate General Counsel, Litigation. You’ll work on a broad docket of litigation and pre-litigation matters, advise business stakeholders on litigation risk, and help to build out the litigation function as the business scales. You’ll join a lean team where everyone carries real responsibility, and you may have the opportunity to pitch in on a variety of other legal domains to support the team.
You’ll work at the cutting edge of a highly technical and rapidly evolving area of the law, navigating challenges that are shaping the future of the industry. This role reports to the Associate General Counsel, Litigation.
WHAT YOU’LL DO
- Manage litigation, third-party process, dispute resolution, and regulatory requests involving the company. This spans everything from helping Runway develop its strategy on cutting-edge legal questions to owning all in-house-side discovery execution
- Manage outside counsel across all stages of litigation, with a focus on case strategy and the quality of written advocacy
- Build, improve, document, and execute repeatable processes for the areas above to help the litigation function operate efficiently and effectively at scale
- Advise key stakeholders on litigation risk, aligning legal strategy with business priorities
- Field day-to-day requests from legal team members and cross-functional partners who want your litigation perspective on their commercial, product, and other legal work
- Partner with Runway’s Customer Support Team to advise on and help resolve small disputes and escalations
- Monitor regulatory and policy developments relating to generative AI, and advise our AI safety, product, and engineering teams on them as appropriate
- Dive into the technical aspects of the product and industry to learn them inside and out, and use that knowledge to inform your advice to the business
- Support the team in other legal domains, which may include employment, trust & safety, policy, commercial, privacy, and IP
WHAT YOU'LL NEED
- A J.D. and admission in good standing with at least one state bar
- 5+ years of dedicated litigation experience (can include clerkships)
- Litigation experience in some combination of copyright, class action, securities, and regulatory matters
- Deep knowledge of complex civil litigation practice and procedure, including discovery and federal and state court rules
- A track record of running litigation matters, including developing case strategy, managing discovery, drafting and editing briefs, gathering information efficiently and preparing witnesses for depositions
- A working knowledge of the key legal issues in Runway’s industry
- Excellent written and oral communication skills. This includes giving practical, clear, and commercially sensible advice, and advocating for a position while staying open-minded
- Sound judgment under pressure and strong business acumen
- The ability to manage multiple workstreams, prioritize effectively, and consistently deliver results
- A strong sense of ownership, both in the highest-level strategic work and in smaller day-to-day tasks
- Creative problem-solving, low ego, curiosity, and a bias for action
NICE TO HAVE
- In-house experience (particularly at a technology company)
- Experience with emerging technologies, particularly generative AI and copyright litigation
- Familiarity with Runway and the generative AI video industry
- Excitement about generative AI, and the motivation to become a leading expert in the legal landscape governing a rapidly innovating 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: Remote, Global
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
We're looking for an engineer to own the deployment and operational infrastructure of Multigres, our distributed Postgres platform. You'll be responsible for building and maintaining the Multigres Operator, ensuring reliable cloud deployments, and creating the tooling that powers our Kubernetes-based infrastructure.
WHAT YOU’LL BE RESPONSIBLE FOR:
- Build and maintain the Multigres Operator - Maintain our Go-based Kubernetes operator that orchestrates distributed Postgres deployments
- Architect cloud deployment infrastructure - Design and implement robust deployment patterns for EKS and other Kubernetes platforms
- Manage storage and networking layers - Work with CSI drivers, persistent volumes, and cross-cloud networking to ensure data reliability and connectivity
- Develop deployment tooling - Create internal tools and automation for provisioning, scaling, and managing Multigres clusters
- Ensure operational excellence - Build monitoring, alerting, and diagnostic capabilities into the deployment layer
- Collaborate across teams - Work with database engineers, SRE, and product teams to deliver seamless deployment experiences
YOU MIGHT BE A GOOD FIT IF YOU HAVE:
- Strong systems programming skills - Proficiency in Go and experience building production-grade operators or controllers
- Deep Kubernetes expertise - Hands-on experience with Kubernetes internals, custom resources, and cloud-managed Kubernetes services (EKS, GKE, AKS)
- Database operations knowledge - Understanding of database deployment patterns, backup/restore, replication, and high availability
- Distributed systems experience - Familiarity with consensus protocols, failure scenarios, and designing for resilience
- Cloud infrastructure background - Experience with cloud-native deployment tooling, IaC (Terraform, Pulumi), and cloud provider APIs
- Production operations mindset - Track record of building reliable, observable, and maintainable systems
NICE TO HAVE:
- Experience with CSI storage drivers and storage orchestration in Kubernetes
- Knowledge of cross-cloud networking tools like Cilium, Istio, or similar service mesh technologies
- Prior work with sharded query serving systems like Vitess
- Contributions to open-source infrastructure projects
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Japan
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.
We are seeking a visionary and high-impact General Manager for Japan to lead our commercial expansion. This is a foundational role. You will be responsible for defining our go-to-market strategy in Japan, establishing enterprise partnerships and customer relationships and driving the adoption of Runway’s creator platform across the region.
Note: For candidates based in Tokyo, this role may expand into the Country Manager, overseeing local operations and serving as the primary representative of Runway in Japan.
WHAT YOU'LL DO
- Lead commercial efforts by designing the go-to-market strategy for Japan, focusing on high-value enterprise accounts in media, entertainment, advertising, brands and technology sectors
- Identify enterprise and distribution partnerships, cultivating relationships with C-suite executives at Japan’s largest firms, navigating the unique nuances of Japanese business culture and long-term relationship building
- Localize product and marketing strategy to the Japan market, working closely with Product, Creative, and Marketing teams to ensure Runway’s offerings and messaging are deeply resonant with Japanese customer base
- Serve as the subject matter expert on the Japanese and broader Asia competitive landscape, regulatory environment and emerging AI trends
- Build the Japan office by recruiting, leading and mentoring a local team of enterprise account executives, and growth and deployment leads
- Represent Runway at major industry events, conferences, and in the media to establish us as the leading AI partner for Japanese creators and enterprises
WHAT WE'RE LOOKING FOR
- 10+ years of experience in enterprise software, media technology or high-growth AI startups, with a proven leadership track record of building and cultivating high performance teams
- Native fluency in Japanese, with professional fluency in English. You must be able to bridge the communication gap between our US teams and local stakeholders
- An existing network of relationships within major Japanese media companies, advertising agencies or major tech conglomerates
- Deep understanding of Japanese business etiquette and the ability to navigate complex organizational hierarchies
- Comfortable with the ambiguity of an early-stage international expansion for a category-defining product, thinking in first principles to both close deals on the ground and build processes for scale
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: Athens, Greece; Limassol, Cyprus
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Role background
Responsible for the Workplace Experience and Operations for a geographical region spanning 10 countries, our Workplace Managers combine People, Technology, and Space across Office and Serviced Office locations to create an exceptional workplace experience for our Employees, Visitors, Contractors and Courier Partners. Regional Workplace Managers support their direct reports (in country workplace managers) to perform at their best, providing guidance and oversight to ensure our workplaces’ functionality, comfort, safety, sustainability and efficiency; whilst ensuring that our office ‘hubs’ are properly set up for collaboration and focus as well as our smaller satellite locations without onsite staff appropriately situated, supported and well-equipped.
What you’ll be doing
Lead a regional team of Workplace Managers & Workplace Coordinators in ensuring our workplace experience supports Wolt’s mission & values and team objectives are met.
Setup and onboard new offices as Wolt expands in your region. Partner with business leads, local and global teams to ensure effective communication with landlords, internal and external stakeholders so that office projects in your region can be delivered on time and in accordance with both Wolt’s global standards and any local requirements.
Ensure all sites within the regional portfolio are managed and maintained to a high standard and in compliance with local and global policies and guidelines.
Build department policies and procedures in conjunction with Wolt’s Global Workplace and Facilities manager, complying with International Health and Safety Standards.
Partner with South region teams such as Physical Security and Safety, Sustainability and People to provide office specific program roll outs for initiatives such as Health and Safety, Sustainability and DEI, Internal Events and Community.
Partner with Integrated Facilities Management Vendors to ensure safe and compliant workspaces and that service level agreements are met. Conduct formal site condition inspections and work closely with responsible parties to ensure any deficiencies identified are resolved.
Create and own the development of annual Opex budgets for your region, tracking and reporting on financial variance and operations expenses management.
Our Humble Expectations
8+ years previous experience, including regional-role experience, in Workplace or Facilities Management in a global organization within a fast-paced and high growth environment
Bachelors or equivalent years of experience. Industry body qualifications (IWFM, CFM or similar) are a bonus.
Excellent organizational skills and attention to detail
Strong leadership capabilities, proven experience to motivate and lead a team
Excellent communication and interpersonal skills, and the ability to work with internal and external stakeholders
A demonstrated ability to work collaboratively across departments and levels within a complex organization.
Ability and willingness to travel in order to properly support all locations in-Region (especially during office relocations and openings)
Excellent written and verbal communication skills in English. Ability to work autonomously in a fast-moving environment, strong relationship building and stakeholder management skills, and a true growth mindset to consistently learn and develop skills.
Comfortable collaborating remotely and dynamically using digital tools such as GSuite, Slack and Zoom.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
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THE MISSION
We are building the next generation of DeFi protocols, pushing the boundaries of what’s possible in decentralized finance. We need a heavy-hitter in Solidity who loves complex business logic, mathematical challenges, and mission-critical security.
CORE RESPONSIBILITIES
— Contract Engineering: Architect, develop, and evolve smart contracts for a high-stakes DeFi protocol.
— Security First: Implement best practices to prevent vulnerabilities (reentrancy, overflows, etc.) and lead audits.
— Optimization: Squeeze every drop of performance through expert gas optimization.
— Innovation: Research and implement cutting-edge patterns and Layer 2 solutions.
— Collaboration: Work closely with Backend and Product teams to translate complex logic into production-ready code.
WHAT WE’RE LOOKING FOR
— Experience: 5+ years of production-level Solidity development (Mainnet records required).
— Deep Tech: Expert understanding of the EVM, assembly (Yul), and smart contract architecture.
— Math Background: Master’s/Bachelor’s in Mathematics or Computer Science.
— Open Source: Active contribution to DeFi ecosystems or notable open-source projects.
— Soft Skills: Fluent English (B2+) and a collaborative mindset for high-speed delivery.
— Vision: Clear understanding of L2 scaling and the future of Ethereum.
PERKS & BENEFITS
— Healthcare: Comprehensive Medical, Dental, and Vision insurance (Family included).
— Flexibility: Unlimited PTO policy and a remote-first culture.
— Family First: Up to 16 weeks of paid parental leave.
— Growth: $1,500 annual educational budget.
— Equipment: Home office stipend to build your perfect setup.
— Wellbeing: Access to fitness partners and retirement plans (401k).
Location: Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
We are hiring multiple positions from early-career engineers to experienced architects focused on the different dimensions of dependable software: cybersecurity, quality, and safety.
What does it take to bring the world’s open source software into mission-critical systems? At Canonical, we are driving the engineering discipline needed to build secure, reliable, and high-quality products that our automotive and industrial partners can depend on. Ubuntu is already the world’s most widely used Linux distribution in general; we want to make it the world’s best choice for the automotive and industrial sectors too.
We operate at the boundary between upstream open source innovation and the industrial regulatory realities. Our engineers define the concepts, architectures, processes, verification strategies, and certification artifacts to transform a general-purpose platform into a dependable, certifiable foundation for automotive and industrial compute. This is systems-level engineering at scale, requiring precision, rigor, and a deep understanding of how complex software behaves in constrained, regulated environments.
We are looking for engineers and architects who combine an open source hacker and builder mindset with respect for rigorous, standards-driven engineering. You will work across Canonical engineering teams and with leading industrial partners, helping to build this capability from the ground up and shaping how open source enters the most demanding technical domains.
Location
: This is a remote role based in the EMEA region.
The role entails
Translate automotive and industrial cybersecurity, quality and safety standards into actionable engineering requirements and perform gap analyses against current capabilities.
Drive the creation of structured engineering artifacts, including requirements, traceability models, risk analysis, test strategies, and certification documentation.
Collaborate with Canonical engineering teams to align development practices with industrial compliance needs.
Design, implement, and execute verification and validation activities required to qualify Ubuntu and other components for regulated environments.
Develop and improve automation and tooling to scale traceability, testing, compliance evidence generation, and reporting.
Engage with industrial partners to understand their expectations, align external expectations and internal capabilities, and support audits and technical reviews.
Contribute to the continuous improvement of Canonical’s internal processes and standards capability as the team scales.
What we are looking for in you
Strong software engineering foundation with experience in developing complex systems on Linux.
Professional experience with C, C++, and Python in production environments.
Demonstrated experience working within automotive, industrial, or other regulated environments governed by safety, cybersecurity, or quality standards (such as ISO 26262, ISO/SAE 21434, IEC 61508, IEC 62443, SOTIF, or (A)SPICE), and applying them in practice.
Experience in system or software architecture, implementation, or verification and validation of complex embedded systems.
Strong written and verbal communication skills, with the ability to produce precise technical documentation.
Ability to collaborate effectively in a distributed team and engage with industrial partners.
Additional experience that is valuable
Contributions to open source projects, particularly in the area of Software Defined Vehicles.
Knowledge of Debian packaging.
Experience with Rust or safety-critical software development.
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal-opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity we will give your application fair consideration
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Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT REPLIT
Replit is building the world’s most ubiquitous AI coding agent. Replit Agent can be used by anybody to bring their ideas to life. Whether it’s an app for yourself, the next great startup idea, or a tool to make you more productive at work, Replit Agent can help build it. Replit is also the leader in secure vibe coding. We protect apps, give users features to manage security risks, and help them vibe code more safely.
ABOUT THE ROLE
In this role you will build powerful tools that help product engineers iterate rapidly on the Agent experience and directly enhance the core Agent itself. You’ll bridge the gap between the AI team (working on the core Agent logic) and the UX team (crafting delightful Agent experiences), enabling both groups to excel within their specialties.
This role blends systems engineering, developer experience and product engineering. We tackle complex challenges across the full stack, from browser-based interfaces to high-performance backends to Linux systems engineering. We’re looking for engineers who have a keen sense of the product experience and how to power it with performant systems.
On this team, you’ll have the opportunity to grow your skills across our infrastructure and product, and to lead end-to-end efforts with meaningful impact. We value diverse perspectives and encourage candidates from all backgrounds and experiences to apply.
YOU WILL
- Build high-throughput backend applications and services, like streaming chat between user and agent.
- Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time.
- Develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences.
- Design and build durable, well-crafted interfaces between the Agent and internal systems, as well as external agentic systems (MCP)
REQUIRED SKILLS AND EXPERIENCE
- 8+ years professional experience in building backend services, systems and platforms
- Someone who values simplicity and pragmatism—you think radically but ship incrementally.
- Self-directed and comfortable working autonomously.
- Collaborative and team-oriented with a strong sense of shared ownership.
PREFERRED QUALIFICATIONS
- Experience across the full-stack.
- Experience building AI powered tooling or products.
- Experience with collaborative editing technologies such as Operational Transforms (OT), CRDTs, or the inner workings of Git.
- Experience with event sourcing systems.
WHAT WE VALUE
- Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
- Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
- Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
- Continuous learning: Passion for staying current with industry best practices and new technologies
- Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems
This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
- New York City
WHAT YOU’LL DO:
- Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
- Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
- Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
- Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
- Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
- Negotiate pricing and deal terms and work with legal to redline contracts
- Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
- Help define and iterate on our sales playbook - your input will help shape our go to market strategies
How to be successful in this role:
- 5+ years of experience selling complex software to enterprise customers
- A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
- Excellent communication and storytelling skills
- Technical acumen with the ability to establish credibility with technical decision makers.
- You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
- Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
- Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation
Annual OTE: $350,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Raleigh, NC
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
WHAT YOU’LL BRING
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $150,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Charlotte, NC
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
WHAT YOU’LL BRING
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $150,000–$250,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: United States; Canada (BC & ON only)
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact.
ABOUT THE ROLE:
- Location: Remote-first (United States; BC & ON, Canada)
- Full-time
- Permanent
- Exempt
- Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.
- United States (all figures cited below in USD and pertain to workers in the United States)
- Zone A: 232,000 - 290,000
- Zone B: 217,600 - 272,000
- Zone C: 204,800 - 256,000
- Canada (All figures cited below in CAD and pertain to workers in ON & BC, Canada)
- 253,000 - 316,000
Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for a new position
- Reporting to the Director, Engineering
As a Senior Staff Machine Learning Scientist, you’ll:
- Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation.
- Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning.
- Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences.
- Design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks.
- Partner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems.
- Set technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI.
- Mentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team.
- Stay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems.
ABOUT YOU:
Requirements:
- BA/BS degree or equivalent experience
You’ll thrive as a Senior Staff Machine Learning Scientist if you:
- Deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training.
- Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred.
- 8+ years of relevant industry and/or research experience, or equivalent impact, including a track record of driving major research initiatives in computer vision or multimodal machine learning.
- Strong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models.
- Proven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances.
- Strong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code.
- Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow.
- Demonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization.
- Strong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences.
- Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: United Kingdom, Remote
Workplace: remote
Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular.
While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within the UK.
Your new role
As Senior Security Engineer, you will help Olo reduce identified risks, respond to adversarial attacks while maintaining the up-time of our systems, and implement the right strategic risk mitigation measures to safeguard the data of our clients and their customers while supporting innovation. You will also provide white glove service and support to internal and external stakeholders by addressing security questions and support issues as needed, and by mentoring other engineers in how to best provide support.
Additionally, you will help in the identification and prioritisation of future project initiatives based on risk, and execute on cross-functional projects with a high degree of ownership and excellence, all while actively mentoring other team members and elevating the collective team’s capabilities and skill sets through peering and informal training.
How you’ll make an impact
Lead improvements in detection and response capabilities, continuously optimising monitoring, alerting, and incident response processes.
Mentor junior and mid-level engineers, setting a high standard in security practices and offering guidance for professional development.
Participate actively in an on-call rotation, responding to escalated security incidents and coordinating effective resolutions.
Demonstrate excellence in white-glove service delivery, ensuring security incidents are managed thoroughly and with professionalism.
Define and collaborate on implementing leading security practices, ensuring strategies align with organisational security goals and industry standards.
Take ownership of security project execution, prioritising tasks and aligning initiatives with team and company objectives.
Use and optimise advanced security tools, including SIEMs and vulnerability scanners, to enhance detection, logging, and analysis capabilities.
Conduct regular and detailed vulnerability assessments, identifying gaps in security controls and implementing mitigation strategies.
Support compliance efforts, ensuring documentation, audits, and regulatory standards are met to maintain certifications and adherence to best practices.
Collaborate with cross-functional teams, including development and IT, to integrate security best practices within architectural frameworks.
Lead security awareness initiatives, educating technical teams on advanced security topics and secure coding practices.
Stay informed on emerging security threats and technologies, continuously evaluating and integrating relevant tools or methodologies.
Provide guidance for risk management processes, helping to establish and maintain effective risk identification and mitigation protocols.
Develop and document security processes and procedures, ensuring consistency and readiness for both routine and high-stress security incidents.
Support leadership with reporting by providing insights and data on incidents, vulnerabilities, project progress, and metrics to inform security decisions.
Lead automation and process optimisation efforts by developing scripts and tools to automate repetitive security tasks as well as to enhance detection and response capabilities through the use of automation and integration of security tools.
What will set you up for success
Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent security experience).
5+ years of experience in security engineering and operations, including extensive experience in blue team operations, security architecture, DevOps, and general operations.
Deep knowledge of information technology, evolving threats, attack patterns, incident response, and cybersecurity standards.
Proven ability to develop and lead incident response, including remediation, mitigation, and regular status updates and reporting.
Skilled in security event evaluation, discerning legitimate security incidents from false positives, incident investigation, countermeasures, and impact monitoring.
Strong understanding of operating system, networking, and application hardening for Windows, macOS, and Linux, including virtualisation security.
Experience deploying, maintaining, and administering security technologies like IDS, DLP, FIM, firewalls, SIEM, MFA, vulnerability assessment tools, web proxies, and WAFs.
Experience with cloud providers and Infrastructure as Code (IaC) tools, such as Terraform, Ansible, or CloudFormation.
Proficiency in AWS security best practices.
Skills in automation, development, or scripting for enhanced security operations.
Advanced knowledge of Application Security, modern web protocols, and Web Application Firewalls.
Proficiency in email security protocols like SPF, DKIM, and DMARC.
About Olo
Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com
Applicant Privacy Notice (United Kingdom)
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
You will be responsible for product planning and solution design for an enterprise-grade AI Native engineering platform, driving the deep integration of AI Agents, AI Coding, knowledge capabilities, and engineering platform systems. The goal is to build an intelligent product system covering requirement analysis, solution design, development collaboration, testing validation, environment orchestration, and knowledge accumulation.This role serves complex engineering processes and multi-role collaboration scenarios. You are expected to design AI product capabilities that can be embedded into workflows, measured for impact, and continuously evolved in real enterprise environments, enabling the product to scale from pilot adoption to broad organizational rollout.
What You’ll Be Doing
Lead the
product planning, requirement analysis, and solution design
of the AI Native engineering platform, and drive continuous product evolution and adoption.
Develop a deep understanding of the end-to-end engineering lifecycle, and translate the core scenarios and collaboration patterns of product, design, engineering, QA, and operations teams into structured product solutions.
Design
AI Agent capabilities for engineering scenarios
, including requirement analysis, solution generation, coding collaboration, test generation, environment orchestration, and knowledge accumulation.
Drive the integration of AI capabilities with
code repositories,
CI/CD
pipelines, testing platforms, deployment environments, and knowledge platforms
to deliver a unified end-to-end product experience.
Establish mechanisms for
product effectiveness evaluation, user feedback, and continuous optimization
, and support the product’s scale-up from pilot validation to broad adoption.
What We Look For In You
Bachelor’s degree or above
, preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
6+ years
of experience in ToB products, platform products, or intelligent product solutions.
Must have an
engineering background
, such as software development, test development, architecture, or technical product roles, with the ability to work effectively with engineering teams.
Strong understanding of
DevOps
, engineering productivity, software delivery processes, and quality systems
, with the ability to abstract and productize complex workflows.
Solid understanding of
AI Agent product design
, with the ability to design for task execution, workflow orchestration, result validation, and delivery closure.
Familiarity with mainstream AI coding products, with strong hands-on experience or product understanding of
Claude Code
, Codex,
Cursor
, and Copilot
, as well as context engineering, knowledge input, tool integration, human-in-the-loop collaboration, and governance considerations.
Strong structured thinking, cross-functional collaboration, and execution skills; experience with
engineering platforms,
DevOps
platforms, platform products, or intelligent products
is a plus.
Nice to Haves
Experience with products related to
AI Agents, RAG, knowledge graphs, Copilot, or intelligent workflows
.
Experience building
engineering platforms,
DevOps
platforms, or platform products
from 0 to 1 or from 1 to N.
Hybrid background of
engineering-to-product transition
, or contributions to open source, communities, or public thought leadership in AI or engineering productivity.
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
.
УдалённоRemote - US
ОфисUK, London; We are open to strong candidates from junior through staff level
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.
УдалённоseniorRemote; New York, NY; San Francisco, CA; Lastly, the provided range is the expected salary for candidates in the U.S
УдалённоМожно работать из любой страны
УдалённоПротиворечивые условия: Note: For candidates based in Tokyo, this role may expand into the Country Manager, overseeing local operations and serving as the primary representative of Runway in Japan; Lastly, the provided range is the expected salary for candidates in the U.S
Athens, Greece; Limassol, Cyprus
УдалённоHome based - EMEA
Mumbai
ГибридСША; We value diverse perspectives and encourage candidates from all backgrounds and experiences to apply; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds
ОфисNew York, NY
УдалённоГеография найма не уточнена
УдалённоГеография найма не уточнена
УдалённоseniorUnited States; Canada (BC & ON only)
