Location: British Columbia
Workplace: remote
ABOUT YOU
We are looking for a Technical Service Operations Lead (TSO Lead) who is operationally driven, collaborative, analytical, and a strong communicator to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to help coordinate incident response alongside cross-functional teams, identify trends and patterns in production issues, improve how we communicate with partners during incidents, and drive continuous improvement through post-incident reviews.
Strong incident management experience, ITIL knowledge, and observability/monitoring expertise are essential, along with experience in technical operations, SRE, or NOC environments supporting high-availability platforms (payments, e-commerce, SaaS, or gaming). The ability to communicate clearly and effectively in English — both written and verbal — across technical and executive audiences will be key to your success in this role.
If you're passionate about driving operational excellence and platform reliability at scale and love ensuring the reliability and uptime of commerce and payment solutions that game developers and players depend on, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Serve as Incident Commander for major incidents — coordinating cross-functional response teams, driving investigation, making escalation decisions, and ensuring incidents are resolved within SLA targets.
Own all incident communications: draft and send clear, timely updates to senior leadership, Customer Success, and partner/customer contacts throughout the incident lifecycle, and manage customer-facing status page updates (status.xsolla.com).
Facilitate blameless Post-Incident Reviews (PIRs) for major incidents — leading root cause identification, assigning corrective actions with clear owners and deadlines, and tracking them to closure.
During non-incident periods, proactively analyze incident trends, recurring issues, and production bugs — identify patterns, create Problem tickets, and report findings and recommendations to product and engineering teams on a regular cadence.
Enforce the incident management framework across the organization, including the severity model, priority matrix, SLA targets, escalation procedures, and deployment readiness gates.
Oversee and mentor the Operations Engineer on your shift — coaching on triage, investigation, runbook execution, and documentation quality while conducting regular knowledge transfer sessions to build depth across the service portfolio.
Produce shift handoff reports and deliver regular operational reporting: incident trends, KPI performance (MTTD, MTTA, MTTR), SLA adherence, proactive detection rate, and repeat incident analysis.
Audit service catalogue completeness on a regular cadence and govern JIRA Service Management workflows for incident, PIR, and problem management.
Cover for the Operations Engineer role during absences, breaks, or surge incidents. Participate in weekend on-call rotation for major incidents.
Qualifications & Skills:
6+ years of experience in incident management, SRE, NOC leadership, or technical operations in a production environment supporting high-availability, high-transaction systems.
Experience in the gaming industry is required. Payments or fintech industry experience is a plus.
Proven incident management experience — coordinating multi-team response, making real-time escalation decisions, and communicating with executive stakeholders under pressure.
Excellent written and verbal communication skills in English — ability to draft clear, concise executive updates at 3 AM under pressure, facilitate blameless PIRs, present operational metrics to senior leadership, and communicate incident status to customers and partners with clarity and professionalism.
Strong ITIL foundation — understanding of incident, problem, and change management lifecycles with practical experience implementing or operating ITIL-aligned workflows.
Technical depth across the observability stack — ability to read and interpret logs, traces, and metrics in Datadog (or equivalent: Grafana, Splunk, New Relic). Understanding of APM, SLOs, error budgets, burn-rate alerting, and synthetic monitoring.
Hands-on experience with incident tooling: Datadog, PagerDuty or OpsGenie, JIRA or JIRA Service Management, Slack, and Confluence.
Analytical mindset — ability to identify trends, patterns, and recurring issues from incident data and translate them into actionable recommendations for product and engineering teams.
Experience with SLA/SLO-driven operations where MTTD, MTTA, and MTTR are measured, reported, and improved.
Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive alerting, automated remediation, or self-healing automation.
Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) for critical severities is required.
Nice to Have:
Experience with customer/partner-facing incident communications and status page management.
JIRA Service Management administration experience: workflows, SLA timers, automation rules, queues, and permissions.
Familiarity with Datadog Service Catalog, scorecards, and SLOs — especially burn-rate alerts and multi-window SLOs.
Experience building an operations function from scratch — defining processes, writing runbooks, establishing governance cadences.
Background in Kubernetes, cloud infrastructure (GCP preferred), microservices architecture, or distributed systems.
ITIL certification (Foundation or higher) is a plus but not required.
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Technical Service Operations Lead (TSO Lead), we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with the Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
The listed range is specific to British Columbia and varies based on factors such as location and experience.
Location: Bedford, PA
Why Work for CaptiveAire?
Nation’s leading manufacturer of commercial kitchen ventilation systems, and now offering a complete solution of fans, heaters, ductwork and HVAC equipment. Our primary purpose is to provide fully integrated, sustainable HVAC Systems.
Leader in the industry for over 40 years with innovative technologies, unmatched service, competitive pricing, and rapid lead times.
Mission: to provide the highest quality products and service to our users at the lowest possible price.
Strong commitment to the development of our employees, including continuous education opportunities like product specific training, and company developed technical videos.
What our employees have to say:
I love the mindset of continuous learning and pushing the bounds of your capabilities
and knowledge. I love the people I work with and the environment, particularly in a world where remote work is common. I love how
Captiveaire
is all about connections, with customers, coworkers, end users, and everyone in between.
Knowing that the company truly has an owner and leadership team that cares for the employees. At
CaptiveAire
each employee is more than a
number,
they are a valued member of a growing and diverse team. The open-door policy at
CaptiveAire
means that no matter who you are in the
company that
leadership is open to
hear
your comments and concerns. This means that your ideas are heard. Not once in my time here at
CaptiveAire
have I felt like I was anything less than an asset to this company and a valued member of the team.
We want to stay on the
cutting edge
and so are constantly sourcing and
utilizing
the best equipment available. Any position can provide feedback that is listened to and incorporated into processes. Collaboration is key at
CaptiveAire
and so there is no being “Silo-ed” into one area.
CaptiveAire
is fast-moving
and no-
nonsense. We
operate
differently than any other company that
I've
worked for with our decentralized structure. Quick action is taken when
a good idea
is presented. We are focused on end users where the rest of the industry is very short-sighted.
We are on the front lines, actively changing the landscape of the HVAC industry.
Learn more about CaptiveAire and our products
here
Job Description:
Handle technical support calls from both internal and external service technicians, installers, customers, as well as sales staff.
Handle parts order calls and emails including part look up, part identification and part order processing.
Provide post sales technical support including equipment troubleshooting and applications assistance via phone, and email.
Must demonstrate excellent customer service and a professional demeanor at all times.
Log results of all calls into job service notes.
Upon request, provide information such as submittal drawings, wiring diagrams, installation recommendations, or other information as needed.
Follow up on customer inquiries to ensure job completion and customer satisfaction.
Approve and process warranty orders as needed.
Complete special projects and training as requested by management.
Qualifications:
Minimum 5 years of HVAC or Electrical knowledge. (Commercial/Industrial experience preferred)
Must know how to thoroughly read electrical schematics.
Strong customer service skills.
Ability to work under pressure and multitask.
Ability to professionally communicate both verbally and written.
Must be proficient on computers.
Good problem solving skills a must.
This is an in-office role, not remote.
Benefits:
Medical, dental and vision insurance
Disability & life insurance based upon election of medical insurance
401k with employer match
Paid holidays
Paid time off (PTO) based upon tenure
Flexible spending account (FSA)
Tuition reimbursement
Tenure awards
Employee referral bonus program
Relocation
assistance
Salary:
$65k-$80k base, negotiable dependent on experience, with
additional
monthly bonus based on productivity and profits.
Captive-Aire Systems, Inc.
is
proud to be an equal opportunity workplace. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
To qualify, applicants must be legally authorized to work in the United States. At this
time
we
are not able to
consider applicants that
require
sponsorship, now or in the future, for employment visa status.
#HP1
Location: Madrid, Alcobendas, Spain
💼
IT Specialist (Systems & Network)
📍
Alcobendas (On-site) |
🕐 Full-time
🚀
What will you do?
You’ll be part of the team ensuring that the company’s IT infrastructure runs smoothly and efficiently. This is not just a basic support role — you’ll have real impact on daily operations.
Your responsibilities will include:
Providing technical support to internal users (hardware, software, network)
Installing, configuring, and maintaining workstations, servers, and network systems
Troubleshooting incidents and resolving technical issues end-to-end
Managing network infrastructure (routers, switches, connectivity)
Installing and maintaining business applications (Microsoft Office, ERP, CRM)
Managing IT inventory and software licenses
Supporting backup systems and data integrity
Maintaining technical documentation (systems, configurations, incidents)
🧠
What we’re looking for
Degree or vocational training in IT (or equivalent experience)
Previous experience in IT support / systems / networking roles
Solid knowledge of:
Windows environments
Network troubleshooting
Hardware and system configuration
Professional level of Spanish and English, desirable Russian and/or Armenian
🌟 What we offer
Stable full-time position
Real exposure to IT infrastructure and systems
Collaborative and supportive team
Opportunity to grow technically
⚠️ Requirements
Based in Madrid or available to work on-site
Legal authorization to work in Spain
Commitment to confidentiality and best practices
Madrid, Alcobendas, Spain
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.
Location: Kansas City, Missouri, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Team
You will join a fast-growing
Neocloud infrastructure organization
operating at the intersection of
AI, high-performance computing (HPC), and hyperscale cloud services
. Our data centers host large-scale GPU clusters purpose-built for AI training, inference, and accelerated workloads.
As global data center operations expand, this role offers significant
career progression
, direct involvement in
new data center builds and expansions
, and exposure to
industry-leading GPU platforms
. Your work will have a measurable impact on
platform reliability, customer SLAs, and operational efficiency
, while collaborating closely with experts in
AI infrastructure design, cloud operations, and data center engineering
.
This is a highly collaborative, innovation-driven environment where best practices are continuously refined to exceed industry standards in
design, deployment, and operations
.
The Role
As an
IT Manager
, you will be key in ensuring the maintenance and efficiency of our data center's IT infrastructure.
Your role involves leading a team that works directly with cutting-edge technologies, including the advanced GPU cloud clusters. You’ll be responsible for overseeing the IT infrastructure, handling hardware troubleshooting and resolution, and ensuring critical systems run smoothly.
You’re also welcome to work on-site at our colocation facility in Kansas City Metropolitan Area
Your responsibilities will include:
Manage IT support team to achieve KPI in IT infrastructure support and project planning.
Collaborating effectively with internal teams and external contractors to address technical and operational challenges.
Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance.
Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations.
Manage IT support that includes diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure.
Manage Project tasks that include installation, upgrading and dismantling of hardware based on operational requests and requirements.
Manage additional processes around asset management, Return Merchandise Authorizations (RMAs).
We expect you to have:
5+ years of team management, hands-on experience in diagnosing and resolving server hardware issues.
A solid understanding of data center operations, as well as server and network equipment principles.
Practical experience in project planning and management.
Knowledge of the ITIL methodology, the operational activities of the technical support service (ITSM).
Basic proficiency in the Linux operating system and familiarity with command-line tools.
Practical experience working with server IT hardware, enterprise-grade network switches and fiber optic cables.
Advanced Excel skills, including proficiency with pivot tables, formulas, lists and graph creation.
A proactive, responsible and goal-oriented approach to work.
It will be an added bonus if you have:
ITIL and/or PMI certification.
Compensation:
$146,880 – $220,320 + Bonus USD per year, depending on experience and qualifications (Annual Bonus Eligible)
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$146,880
—
$220,320 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: UK
Workplace: Remote
About Inworld
Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads.
Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production.
We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA.
WHO WE'RE LOOKING FOR
A year ago, reliably working agentic systems barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.
EXPERIENCE WE FIND USEFUL
You don't need all of this. But you need enough to make a case.
- Foundation models: training, new architectures, RL, reward modeling, scaling
- Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis
- Frontier topics: multimodal models, agents, tool use, test-time compute, world models
- Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI
- PhD in ML/NLP — or equivalent practical experience you can point to
- Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions
- Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result
If you learned through building, competitions, or collaborations outside academia — that counts. We care about evidence, not credentials.
WHO THRIVES HERE
- Pathfinders: You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go.
- Full-Cycle Researchers: You believe research isn't finished until it’s shipped. You have a bias for impact over purely academic output.
- First-Principles Engineers: You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core problem.
- Mission Owners: You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make.
WHAT WORKING HERE IS LIKE
We hand you unclear problems and expect you to make them clear. We value researchers who say "I don't know yet" — and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater.
We don't need a cover letter. A link to something you've built tells us more.
The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.
Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.
Inworld Jobs Privacy https://inworld.ai/jobs-privacy
Location: Serbia
Workplace: Remote
About Inworld
Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads.
Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production.
We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA.
WHO WE'RE LOOKING FOR
A year ago, reliably working agentic systems barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.
EXPERIENCE WE FIND USEFUL
You don't need all of this. But you need enough to make a case.
- Foundation models: training, new architectures, RL, reward modeling, scaling
- Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis
- Frontier topics: multimodal models, agents, tool use, test-time compute, world models
- Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI
- PhD in ML/NLP — or equivalent practical experience you can point to
- Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions
- Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result
If you learned through building, competitions, or collaborations outside academia — that counts. We care about evidence, not credentials.
WHO THRIVES HERE
- Pathfinders: You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go.
- Full-Cycle Researchers: You believe research isn't finished until it’s shipped. You have a bias for impact over purely academic output.
- First-Principles Engineers: You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core problem.
- Mission Owners: You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make.
WHAT WORKING HERE IS LIKE
We hand you unclear problems and expect you to make them clear. We value researchers who say "I don't know yet" — and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater.
We don't need a cover letter. A link to something you've built tells us more.
Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams.
Inworld Jobs Privacy https://inworld.ai/jobs-privacy
Location: Germany
Workplace: Remote
About Inworld
Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads.
Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production.
We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA.
Who We're Looking For
A year ago, reliably working agentic systems barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.
Experience We Find Useful
You don't need all of this. But you need enough to make a case.
- Foundation models: training, new architectures, RL, reward modeling, scaling
- Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis
- Frontier topics: multimodal models, agents, tool use, test-time compute, world models
- Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI
- PhD in ML/NLP — or equivalent practical experience you can point to
- Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions
- Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result
If you learned through building, competitions, or collaborations outside academia — that counts. We care about evidence, not credentials.
Who Thrives Here
- Pathfinders: You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go.
- Full-Cycle Researchers: You believe research isn't finished until it’s shipped. You have a bias for impact over purely academic output.
- First-Principles Engineers: You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core problem.
- Mission Owners: You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make.
What Working Here Is Like
We hand you unclear problems and expect you to make them clear. We value researchers who say "I don't know yet" — and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater.
We don't need a cover letter. A link to something you've built tells us more.
Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams.
For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.
Inworld Jobs Privacy https://inworld.ai/jobs-privacy
Location: Rabigh, Saudi Arabia; Dammam, Saudi Arabia; Jeddah, Saudi Arabia; Yanbu, Saudi Arabia; Mumbai, India
Eram Talent is seeking a skilled Project Execution Lead with EPC experience, specifically with a background in working with Aramco, to join our dynamic team. This role is pivotal in ensuring the successful execution of engineering, procurement, and construction (EPC) projects while maintaining quality standards and adhering to safety regulations.
The work location would be at
Rabigh, Saudi Arabia
.
Key Responsibilities
Lead the planning and execution of EPC projects, ensuring compliance with contract specifications and safety standards.
Coordinate with various project teams to ensure timely delivery of project milestones.
Oversee scheduling, resource allocation, and budgeting to meet project objectives.
Manage stakeholder communications and maintain strong relationships with clients, including Aramco.
Identify and mitigate project risks while resolving any issues that arise during the project lifecycle.
Monitor and report on project performance, adjusting plans as necessary to meet changing conditions.
Ensure project documentation is complete, accurate, and archived for future reference.
Requirements
Minimum 12 years of extensive experience in project execution within the EPC sector,
with specific experience in projects for Aramco.
A Bachelor’s degree in Engineering, Construction Management, or a related field from an accredited institution.
Proven expertise in managing large-scale EPC projects, with a successful track record of delivering projects on time and within budget.
Strong knowledge of project management methodologies and tools, including PMP or similar certifications.
Excellent leadership, organizational, and communication skills to effectively manage cross-functional teams and project stakeholders.
Ability to work in high-pressure environments, balancing multiple projects and tasks simultaneously.
Strong analytical and problem-solving skills, with a keen attention to detail.
Proficiency in project management software and tools, such as Primavera P6 or MS Project.
Familiarity with health, safety, security, and environmental (HSSE) regulations in the industrial sector.
leadRabigh, Saudi Arabia; Dammam, Saudi Arabia; Jeddah, Saudi Arabia; Yanbu, Saudi Arabia; Mumbai, India
Location: Paris
Workplace: OnSite
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
Our Corporate teams support the company’s performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo’s Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo’s success.
ROLE
- You are responsable of Level 1 and Level 2 IT tasks (such as preparing computers for new joiners, troubleshooting software and hardware issues, etc..)
- You help ensure IT Services delivers the best employee experience in relation to employees support, deployments, infrastructure, and day to day IT activities
- You maintain core IT systems and operations, including operating systems, security tools, applications
- You track and maintain hardware and software inventory
- You ensure meeting rooms and VC systems are functioning properly
- You update and document the current IT procedures
- You contribute to IT projects and improvements
PROFILE
- You are passionate about IT and technology, with proven experience in a similar role or in a fast-growing environment
- You have a modern approach to IT management (Cloud, SaaS, Google Workspace, etc.)
- You provide excellent customer service and have strong communication skills in English and French
- You are able to identify recurring issues and evaluate opportunities to automate them
- Experience with AI tools or technologies is a plus
OUR STACK
- Google Workspace
- Slack
- SaaS Management/Asset Tool/Ticketing
- MDM : Jamf (Mac & Iphone) & Intunes (PC Windows & Android)
- SSO, SAML : Okta
- Cisco Meraki (LAN, WIFI, Firewall)
- VC Systems : Polycom/Logitech
- Hardware: 85% Apple, 15% Windows
BENEFITS
- Competitive salary based on experience
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Premium healthcare coverage with SideCare, 100% covered for you and your family
- Wellness activities in our Paris office
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
This role sits at the frontier of our research agenda. You will pursue open problems at the intersection of post-training methodology and performant inference, and then collaborate with research engineering to translate findings into production systems.
A meaningful portion of your time will be dedicated to research that deepens our understanding of how models learn, alignment, and architectural efficiency — questions that may not have immediate product application. The remainder will be directed toward research that solves concrete problems for Baseten's platform and customers, who are the fastest growing AI companies in the world like Cursor, Lovable, and Notion.
We are looking for someone with sharp research taste and genuine creative instinct for problem selection. Someone who can identify questions that matter, design clean experiments to answer them, and push the state of the art. The environment here is not theoretical, but rather research that can be validated with eager customers who are serving billions of tokens a second.
The Manifesto: https://labs.baseten.co/manifesto
RECENT RESEARCH
- Towards infinite context windows: neural KV cache compaction https://www.baseten.co/research/towards-infinite-context-windows-neural-kv-cache-compaction/
- Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/
- Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/
- Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/
RESPONSIBILITIES
- Define and pursue a research agenda spanning both foundational and applied work, with the applied component connected to Baseten's platform and customer needs.
- Design and execute rigorous experiments, frequently at meaningful scale (multi-node, trillion parameter models).
- Work with customers to translate domain-specific requirements into research problems, where relevant to your agenda.
- Publish at top venues (NeurIPS, ICML, ICLR) and establish Baseten's research presence.
- Collaborate with model performance and training infrastructure teams to bridge research findings and inference production systems.
- Mentor junior researchers and shape the technical direction of the research organization as it grows.
PREFERRED QUALIFICATIONS
- Master’s or PhD research depth in machine learning, with first-author publications at top venues
- Demonstrated ability to move from theory through implementation to empirical results — not exclusively theoretical or exclusively engineering work
- Judgment about problem selection, the ability to distinguish research that advances a metric from research that changes how systems are built
- Willingness to operate in a startup environment where the majority of research informs product decisions, with timelines measured in months rather than years
- Background spanning multiple research areas (e.g., both interpretability and RL, or both systems and training methodology)
- Track record of open-source contributions or community building in ML research
OUR VIEW ON TALENT
Many of the labs that exist today run a credentialist talent model. Concentrate the most already-legible researchers, and assume the concentration compounds. The best researchers in this field are very often not yet legible. Research engineers who have spent years inside a production stack and developed insights no PhD program teaches; PhDs working on the wrong-shaped problem at the right-shaped lab; operators who have been close to real systems long enough to see things credentialed researchers have never had to see. If you don’t have the traditional qualifications and are doing exceptional work, we’d love to chat.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Remote
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
*Open to hiring remote across the west coast — we also have offices in San Francisco and Seattle
We're building a tool that makes content creation accessible for everyone, from individual creators to Fortune 500 enterprises. We're looking for people who are deeply versed in the Runway product and can take a strategic and creative view to Enterprise Support. If that's you, read on!
WHAT YOU’LL DO
- Manage customer inquiries across email, chat, Slack, focusing on complex cases requiring human judgment
- Provide technical and creative support to enterprise customers via written communication and calls
- Investigate technical issues and create detailed bug reports that save engineering time
- QA test AI support automation for quality and accuracy
- Partner with Customer Success on enterprise implementation and adoption, and collaborate cross-functionally with Product and Engineering teams
- Stay current on product updates by actively using Runway
- Contribute to knowledge base, documentation, and process improvements
- Identify systemic issues from ticket patterns and calls, and proactively suggest improvements and operate autonomously - you know when to escalate vs. own a problem through resolution
WHAT YOU’LL NEED
- Experience with a mix of video editing, content creation, creative workflows, or generative AI tools
- 3-5+ years in customer-facing technical roles (support, solutions engineering, CSM, technical account management)
- Proven track record handling enterprise customers and complex escalations
- History of working autonomously with minimal supervision
- Examples of process improvements or systems you've built
FOR YOUR APPLICATION:
During our interview process, you'll have several chances to get acquainted with the Runway product and use all the features our team has built - and that starts now! As part of your application, instead of a cover letter, we ask that you try out the Runway product, specifically build a custom workflow.
Build a Custom Runway Workflow:
1. Sign up for a free Runway account (no payment required)
2. Review these resources:
1. Tutorial https://academy.runwayml.com/workflows/using-workflows
2. Guide https://help.runwayml.com/hc/en-us/articles/45769159004691-Building-your-first-Workflows
3. Build a workflow based on your own creative idea or theme.
1. Your workflow should include at least 3 steps
2. Think about a real creative problem someone might solve with Runway
4. Submit in the application:
1. Screenshot of your completed workflow
2. Brief description (3-4 sentences): What's your creative concept? What does your workflow accomplish? Who would use this?
Note: Free accounts can build workflows but can't run them - that's fine! We want to see your ability to learn the product and think creatively about how customers might use it.
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: Kyiv; Zakarpattia
Workplace: onsite
Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник систем безпеки. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 дротових і бездротових пристроїв для захисту від вторгнення, а також відеоспостереження, пожежної безпеки та комфорту й автоматизації.
Ми прагнемо до повної відповідності європейським стандартам, тому забезпечуємо вам достойні умови праці, можливості розвитку та фінансову стабільність. У зв’язку із стрімким розширенням штату на нашому виробництві зараз відкрита вакансія «Supplier Quality Manager».
Основні обов’язки:
Управління стандартами якості відділу.
Участь в укладанні договорів, інтеграція технічних вимог, політики гарантій та системи штрафних санкцій за недотримання стандартів якості.
Проведення віддалених та очних інспекцій.
Оцінка ефективності постачальників (Scorecards), управління процесом
SCAR
(Supplier Corrective Action Reports) та стимулювання партнерів до покращення їхніх виробничих процесів.
Координація та проведення технічних аудитів постачальників, участь у процесі їх затвердження (AVL) або виведення з пулу партнерів.
Вдосконалення методів пакування, складування та транспортування для мінімізації логістичних втрат.
Впровадження стратегії розвитку напрямку IQC/SQ та навчання команди контролерів.
Управління інженерною командою для попередження виникнення дефектів матеріалів.
Основні вимоги:
Вища технічна освіта.
Досвід роботи від 3 років у сфері управління якістю (досвід у галузі електроніки або системної збірки буде вагомою перевагою).
Вміння вільно читати технічну документацію та креслення.
Впевнений користувач MS Office (Excel — на рівні складних формул/звітів).
Знання стандартів ISO 9001 (IATF 16949 буде плюсом).
Рівень англійської Intermediate та вище (здатність вести листування та переговори з іноземними постачальниками). Китайська мова буде плюсом.
Високі комунікативні навички, системність у прийнятті рішень та уважність до деталей.
Знання інструментів якості, таких як
8D, 5 Whys, Ishikawa, APQP або PPAP
.
Готовність до відряджень.
Ми пропонуємо:
Конкурентна заробітна плата.
Офіційне працевлаштування.
Медичне страхування.
Корпоративні курси з вивчення англійської мови.
Relocation bonus.
Можливість професійного розвитку;
Робота в стабільній компанії.
Якщо Ти бажаєш розвиватися у стабільній компанії, яка рухається тільки вперед — дивись короткий ролик про нас, надсилай резюме або телефонуй.
Location: North Kansas City, MO; Omaha, NE
Company Description
We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company.
We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us.
Job Description
Olsson is seeking a Commissioning Technical Manager to support our Substation and Power Generation team. This role utilizes advanced commissioning and electrical expertise to serve as an experienced technical resource while developing project management knowledge, skills, and experience.
This Commissioning Technical Manager will work alongside clients in a staff augmentation capacity. They will work with project managers and technical teams to support commissioning activities, resolve technical challenges, and coordinate schedules and deliverables to ensure operational and safety standards are met. This role performs project management duties on smaller portions or phases of larger projects and does not serve as a firmwide technical authority.
What you’ll do:
Follow safety protocols and practice site-specific safety procedures at all times.
Serve as an experienced commissioning technical resource, applying field
‑
based knowledge to support project execution and problem
‑
solving.
Collaborate with technical staff and project managers to support development of project scopes, schedules, and objectives.
Required to Generate Commissioning Documentation regarding appropriate energization sequences, switching instructions, system isolation documentation, commissioning testing plans, commissioning test results.
Required to compile and submit results, field drawing redlines, review redlines for accuracy, ensure all associated drawings affected by redlines are notated and submitted to engineering teams.
Apply commissioning and electrical experience to assist with cost estimates and project budgeting.
Review system descriptions and engineering documentation to validate electrical functionality.
Support commissioning, testing, and startup activities for substation and power generation systems, including field coordination and issue resolution.
Provide technical guidance related to commissioning, testing, and operational readiness of electrical power systems.
Supervise electrical construction and contractor teams during commissioning.
Coordinate commissioning activities with multidisciplinary teams to maintain project progress.
Track assigned project phases by monitoring schedules, resource utilization, and expenses.
Attend project meetings to support client relationships and review project performance.
Promote efficiency and consistency in commissioning processes, documentation, and technical deliverables.
Prepare and maintain project deliverables including reports, test results, inspection records, and correspondence.
Participate in site visits and field activities in support of commissioning and construction efforts, including work in varying site conditions.
Qualifications
You are passionate about:
Working collaboratively with others.
Having ownership in the work you do.
Using your talents to positively affect communities.
You bring to the team:
5+ years of experience in commissioning, electrical systems, substations, power generation, or related infrastructure.
Strong understanding of electrical safety, commissioning methodologies, electrical power systems, and field-testing practices related to substations and power generation.
Experience supporting project execution in coordination with project managers.
Strong communication skills and a collaborative, team
‑
oriented approach.
Willingness to travel for site visits and field support.
Commissioning certification (NETA III, NICET, or equivalent) preferred.
Associate’s or Bachelor’s degree in Electrical Engineering or a related field preferred but not required.
Professional licensure (PE) is a plus, but not required.
#LI-DNP
Additional Information
Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come.
As an Olsson employee, you will:
Receive a competitive 401(k) match
Be empowered to build your career with tailored development paths
Have the possibility for flexible work arrangements
Engage in work that has a positive impact on communities
Participate in a wellness program promoting balanced lifestyles
In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance.
Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status.
Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices.
For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice
here
.
О РОЛИ (ABOUT THE ROLE)
Ищем ключевое техническое лицо для взаимодействия с мерчантами. Вы будете сопровождать клиентов на всех этапах: от онбординга и настройки API до пост-релизного саппорта. Это роль на стыке клиентского сервиса и технической экспертизы в области криптоплатежей.
ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ
— Integration Support: Сопровождение интеграций мерчантов, помощь в настройке платежных потоков и API.
— Technical Consulting: Консультирование клиентов по работе кошельков, webhooks и функционалу дашбордов.
— Coordination: Синхронизация работы внутренних команд для решения технических запросов мерчантов.
— Client Success: Обеспечение стабильной работы сервиса после запуска и оперативное решение возникающих проблем.
ЧТО МЫ ЖДЕМ ОТ ВАС
— Опыт: 2+ года в сферах Payments, Fintech, Crypto или PSP.
— Техбаза: Понимание платежных циклов (deposits / withdrawals), опыт работы с API и webhooks.
— Compliance: Понимание процессов KYC/KYB и основ комплаенса.
— Инструментарий: Уверенная работа с CRM, Jira, Confluence и мессенджерами (Slack/Telegram).
— Languages: Свободный уровень владения английским (C1) и русским (C1) языками.
БУДЕТ ПЛЮСОМ
— Опыт работы с блокчейн-сетями (BTC, ETH, TRON).
— Понимание процессов крипто-фиатной конвертации.
— Опыт в high-risk индустриях (iGaming, Forex).
Location: London
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are seeking a
Quantitative AI Strategist
to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform.
The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable — by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality.
You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research.
The ideal candidate will be able to:
Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform.
Determine the right balance between AI autonomy and structured tooling — deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call — and build accordingly.
Work with front-office stakeholders to turn desk needs into well-defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions.
Key Responsibilities:
Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities.
Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI.
Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets.
Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows.
Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly.
Proactively identify new use cases and capabilities as AI technology evolves.
Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience.
Qualification and Experience:
Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field.
3–7 years’ experience in a front-office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes.
Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution.
Experience building or contributing to internal analytics platforms or tools used by traders and researchers.
Experience with signal generation, backtesting, or systematic strategy development.
Strong programming skills in Python. Familiarity with Git and collaborative development workflows.
Familiarity with AI technologies and their application to quantitative workflows is a strong plus.
Experience building AI agents is a strong plus.
Excellent communication skills — able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers.
Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment.
Strong ability to quickly learn and adapt to new technologies — particularly important given the rapid pace of development in AI.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
[#LI-SK1]
Location: New York
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are seeking a
Quantitative AI Strategist
to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform.
The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable — by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality.
You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research.
The ideal candidate will be able to:
Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform.
Determine the right balance between AI autonomy and structured tooling — deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call — and build accordingly.
Work with front-office stakeholders to turn desk needs into well-defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions.
Key Responsibilities:
Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities.
Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI.
Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets.
Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows.
Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly.
Proactively identify new use cases and capabilities as AI technology evolves.
Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience.
Qualification and Experience:
Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field.
3–7 years’ experience in a front-office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes.
Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution.
Experience building or contributing to internal analytics platforms or tools used by traders and researchers.
Experience with signal generation, backtesting, or systematic strategy development.
Strong programming skills in Python. Familiarity with Git and collaborative development workflows.
Familiarity with AI technologies and their application to quantitative workflows is a strong plus.
Experience building AI agents is a strong plus.
Excellent communication skills — able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers.
Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment.
Strong ability to quickly learn and adapt to new technologies — particularly important given the rapid pace of development in AI.
The annual base salary range for this position is $175k to $250k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
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https://drw.com/california-privacy-notice
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Relocation
География найма не уточнена
Kansas City, Missouri, United States
УдалённоПротиворечивые условия: For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S; visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements
УдалённоleadSerbia
УдалённоleadПротиворечивые условия: For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S; visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements
ГибридSan Francisco
УдалённоСША; Lastly, the provided range is the expected salary for candidates in the U.S